1
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Xue H, Jin J, Tan Z, Chen K, Lu G, Zeng Y, Hu X, Peng X, Jiang L, Wu J. Flexible, biodegradable ultrasonic wireless electrotherapy device based on highly self-aligned piezoelectric biofilms. SCIENCE ADVANCES 2024; 10:eadn0260. [PMID: 38820150 PMCID: PMC11141629 DOI: 10.1126/sciadv.adn0260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 04/29/2024] [Indexed: 06/02/2024]
Abstract
Biodegradable piezoelectric devices hold great promise in on-demand transient bioelectronics. Existing piezoelectric biomaterials, however, remain obstacles to the development of such devices due to difficulties in large-scale crystal orientation alignment and weak piezoelectricity. Here, we present a strategy for the synthesis of optimally orientated, self-aligned piezoelectric γ-glycine/polyvinyl alcohol (γ-glycine/PVA) films via an ultrasound-assisted process, guided by density functional theory. The first-principles calculations reveal that the negative piezoelectric effect of γ-glycine originates from the stretching and compression of glycine molecules induced by hydrogen bonding interactions. The synthetic γ-glycine/PVA films exhibit a piezoelectricity of 10.4 picocoulombs per newton and an ultrahigh piezoelectric voltage coefficient of 324 × 10-3 volt meters per newton. The biofilms are further developed into flexible, bioresorbable, wireless piezo-ultrasound electrotherapy devices, which are demonstrated to shorten wound healing by ~40% and self-degrade in preclinical wound models. These encouraging results offer reliable approaches for engineering piezoelectric biofilms and developing transient bioelectronics.
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Affiliation(s)
- Haoyue Xue
- College of Materials Science and Engineering, Sichuan University, Chengdu 610064, China
| | - Jing Jin
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhi Tan
- College of Materials Science and Engineering, Sichuan University, Chengdu 610064, China
| | - Keliang Chen
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Gengxi Lu
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Yushun Zeng
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xiaolin Hu
- West China School of Nursing, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xingchen Peng
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Laiming Jiang
- College of Materials Science and Engineering, Sichuan University, Chengdu 610064, China
| | - Jiagang Wu
- College of Materials Science and Engineering, Sichuan University, Chengdu 610064, China
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2
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Shi J, Kim S, Li P, Dong F, Yang C, Nam B, Han C, Eig E, Shi LL, Niu S, Yue J, Tian B. Active biointegrated living electronics for managing inflammation. Science 2024; 384:1023-1030. [PMID: 38815037 DOI: 10.1126/science.adl1102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 03/22/2024] [Indexed: 06/01/2024]
Abstract
Seamless interfaces between electronic devices and biological tissues stand to revolutionize disease diagnosis and treatment. However, biological and biomechanical disparities between synthetic materials and living tissues present challenges at bioelectrical signal transduction interfaces. We introduce the active biointegrated living electronics (ABLE) platform, encompassing capabilities across the biogenic, biomechanical, and bioelectrical properties simultaneously. The living biointerface, comprising a bioelectronics layout and a Staphylococcus epidermidis-laden hydrogel composite, enables multimodal signal transduction at the microbial-mammalian nexus. The extracellular components of the living hydrogels, prepared through thermal release of naturally occurring amylose polymer chains, are viscoelastic, capable of sustaining the bacteria with high viability. Through electrophysiological recordings and wireless probing of skin electrical impedance, body temperature, and humidity, ABLE monitors microbial-driven intervention in psoriasis.
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Affiliation(s)
- Jiuyun Shi
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Saehyun Kim
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Pengju Li
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Fuying Dong
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA
| | - Chuanwang Yang
- The James Franck Institute, University of Chicago, Chicago, IL 60637, USA
| | - Bryan Nam
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Chi Han
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA
| | - Ethan Eig
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Lewis L Shi
- Pritzker School of Medicine, University of Chicago, Chicago, IL 60637, USA
- Molecular Oncology Laboratory, Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA
| | - Jiping Yue
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Bozhi Tian
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
- The James Franck Institute, University of Chicago, Chicago, IL 60637, USA
- The Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA
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3
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Duffy SS, Lee S, Gottlieb Sen D. Pediatric Monitoring Technologies and Congenital Heart Disease: A Systematic Review. World J Pediatr Congenit Heart Surg 2024:21501351241247500. [PMID: 38807505 DOI: 10.1177/21501351241247500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Outpatient monitoring of infants with congenital heart disease has been shown to significantly reduce rates of mortality in the single ventricle population. Despite the accelerating development of miniaturized biosensors and electronics, and a growing market demand for at-home monitoring devices, the application of these technologies to infants and children is significantly delayed compared with the development of devices for adults. This article aims to review the current landscape of available monitoring technologies and devices for pediatric patients to describe the gap between technologies and clinical needs with the goal of progressing development of clinically and scientifically validated pediatric monitoring devices.
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Affiliation(s)
- Summer S Duffy
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Sharon Lee
- Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA
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4
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Lu G, Gong C, Sun Y, Qian X, Rajendran Nair DS, Li R, Zeng Y, Ji J, Zhang J, Kang H, Jiang L, Chen J, Chang CF, Thomas BB, Humayun MS, Zhou Q. Noninvasive imaging-guided ultrasonic neurostimulation with arbitrary 2D patterns and its application for high-quality vision restoration. Nat Commun 2024; 15:4481. [PMID: 38802397 PMCID: PMC11130148 DOI: 10.1038/s41467-024-48683-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 05/09/2024] [Indexed: 05/29/2024] Open
Abstract
Retinal degeneration, a leading cause of irreversible low vision and blindness globally, can be partially addressed by retina prostheses which stimulate remaining neurons in the retina. However, existing electrode-based treatments are invasive, posing substantial risks to patients and healthcare providers. Here, we introduce a completely noninvasive ultrasonic retina prosthesis, featuring a customized ultrasound two-dimensional array which allows for simultaneous imaging and stimulation. With synchronous three-dimensional imaging guidance and auto-alignment technology, ultrasonic retina prosthesis can generate programmed ultrasound waves to dynamically and precisely form arbitrary wave patterns on the retina. Neuron responses in the brain's visual center mirrored these patterns, evidencing successful artificial vision creation, which was further corroborated in behavior experiments. Quantitative analysis of the spatial-temporal resolution and field of view demonstrated advanced performance of ultrasonic retina prosthesis and elucidated the biophysical mechanism of retinal stimulation. As a noninvasive blindness prosthesis, ultrasonic retina prosthesis could lead to a more effective, widely acceptable treatment for blind patients. Its real-time imaging-guided stimulation strategy with a single ultrasound array, could also benefit ultrasound neurostimulation in other diseases.
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Affiliation(s)
- Gengxi Lu
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chen Gong
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yizhe Sun
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Xuejun Qian
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Deepthi S Rajendran Nair
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Runze Li
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yushun Zeng
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Jie Ji
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Junhang Zhang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Haochen Kang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Laiming Jiang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Jiawen Chen
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Chi-Feng Chang
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Biju B Thomas
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark S Humayun
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- USC Ginsburg Institute for Biomedical Therapeutics, University of Southern California, Los Angeles, CA, USA
| | - Qifa Zhou
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
- Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- USC Ginsburg Institute for Biomedical Therapeutics, University of Southern California, Los Angeles, CA, USA.
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5
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Petrella RJ. The AI Future of Emergency Medicine. Ann Emerg Med 2024:S0196-0644(24)00043-X. [PMID: 38795081 DOI: 10.1016/j.annemergmed.2024.01.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 05/27/2024]
Abstract
In the coming years, artificial intelligence (AI) and machine learning will likely give rise to profound changes in the field of emergency medicine, and medicine more broadly. This article discusses these anticipated changes in terms of 3 overlapping yet distinct stages of AI development. It reviews some fundamental concepts in AI and explores their relation to clinical practice, with a focus on emergency medicine. In addition, it describes some of the applications of AI in disease diagnosis, prognosis, and treatment, as well as some of the practical issues that they raise, the barriers to their implementation, and some of the legal and regulatory challenges they create.
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Affiliation(s)
- Robert J Petrella
- Emergency Departments, CharterCARE Health Partners, Providence and North Providence, RI; Emergency Department, Boston VA Medical Center, Boston, MA; Emergency Departments, Steward Health Care System, Boston and Methuen, MA; Harvard Medical School, Boston, MA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA; Department of Medicine, Brigham and Women's Hospital, Boston, MA.
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6
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Wang Q, Zhang Y, Xue H, Zeng Y, Lu G, Fan H, Jiang L, Wu J. Lead-free dual-frequency ultrasound implants for wireless, biphasic deep brain stimulation. Nat Commun 2024; 15:4017. [PMID: 38740759 DOI: 10.1038/s41467-024-48250-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/25/2024] [Indexed: 05/16/2024] Open
Abstract
Ultrasound-driven bioelectronics could offer a wireless scheme with sustainable power supply; however, current ultrasound implantable systems present critical challenges in biocompatibility and harvesting performance related to lead/lead-free piezoelectric materials and devices. Here, we report a lead-free dual-frequency ultrasound implants for wireless, biphasic deep brain stimulation, which integrates two developed lead-free sandwich porous 1-3-type piezoelectric composite elements with enhanced harvesting performance in a flexible printed circuit board. The implant is ultrasonically powered through a portable external dual-frequency transducer and generates programmable biphasic stimulus pulses in clinically relevant frequencies. Furthermore, we demonstrate ultrasound-driven implants for long-term biosafety therapy in deep brain stimulation through an epileptic rodent model. With biocompatibility and improved electrical performance, the lead-free materials and devices presented here could provide a promising platform for developing implantable ultrasonic electronics in the future.
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Affiliation(s)
- Qian Wang
- College of Materials Science and Engineering, Sichuan University, Chengdu, China
| | - Yusheng Zhang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China
| | - Haoyue Xue
- College of Materials Science and Engineering, Sichuan University, Chengdu, China
| | - Yushun Zeng
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
| | - Gengxi Lu
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
| | - Hongsong Fan
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China.
| | - Laiming Jiang
- College of Materials Science and Engineering, Sichuan University, Chengdu, China.
| | - Jiagang Wu
- College of Materials Science and Engineering, Sichuan University, Chengdu, China.
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7
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Seghier ML, Maalej N. Rescue equipment should include portable medical imaging systems. Sci Bull (Beijing) 2024:S2095-9273(24)00315-3. [PMID: 38755086 DOI: 10.1016/j.scib.2024.04.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Affiliation(s)
- Mohamed L Seghier
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates; Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates.
| | - Nabil Maalej
- Physics Department, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates.
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8
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Zhu P, Simon I, Kokalari I, Kohane DS, Rwei AY. Miniaturized therapeutic systems for ultrasound-modulated drug delivery to the central and peripheral nervous system. Adv Drug Deliv Rev 2024; 208:115275. [PMID: 38442747 PMCID: PMC11031353 DOI: 10.1016/j.addr.2024.115275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 03/07/2024]
Abstract
Ultrasound is a promising technology to address challenges in drug delivery, including limited drug penetration across physiological barriers and ineffective targeting. Here we provide an overview of the significant advances made in recent years in overcoming technical and pharmacological barriers using ultrasound-assisted drug delivery to the central and peripheral nervous system. We commence by exploring the fundamental principles of ultrasound physics and its interaction with tissue. The mechanisms of ultrasonic-enhanced drug delivery are examined, as well as the relevant tissue barriers. We highlight drug transport through such tissue barriers utilizing insonation alone, in combination with ultrasound contrast agents (e.g., microbubbles), and through innovative particulate drug delivery systems. Furthermore, we review advances in systems and devices for providing therapeutic ultrasound, as their practicality and accessibility are crucial for clinical application.
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Affiliation(s)
- Pancheng Zhu
- Department of Chemical Engineering, Delft University of Technology, 2629 HZ, Delft, the Netherlands; State Key Laboratory of Mechanics and Control of Aerospace Structures, Nanjing University of Aeronautics & Astronautics, 210016, Nanjing, China; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ignasi Simon
- Department of Chemical Engineering, Delft University of Technology, 2629 HZ, Delft, the Netherlands
| | - Ida Kokalari
- Department of Chemical Engineering, Delft University of Technology, 2629 HZ, Delft, the Netherlands
| | - Daniel S Kohane
- Laboratory for Biomaterials and Drug Delivery, Department of Anesthesiology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
| | - Alina Y Rwei
- Department of Chemical Engineering, Delft University of Technology, 2629 HZ, Delft, the Netherlands.
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9
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Zhao X, Zhou Y, Song Y, Xu J, Li J, Tat T, Chen G, Li S, Chen J. Permanent fluidic magnets for liquid bioelectronics. NATURE MATERIALS 2024; 23:703-710. [PMID: 38671161 DOI: 10.1038/s41563-024-01802-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 01/08/2024] [Indexed: 04/28/2024]
Abstract
Brownian motion allows microscopically dispersed nanoparticles to be stable in ferrofluids, as well as causes magnetization relaxation and prohibits permanent magnetism. Here we decoupled the particle Brownian motion from colloidal stability to achieve a permanent fluidic magnet with high magnetization, flowability and reconfigurability. The key to create such permanent fluidic magnets is to maintain a stable magnetic colloidal fluid by using non-Brownian magnetic particles to self-assemble a three-dimensional oriented and ramified magnetic network structure in the carrier fluid. This structure has high coercivity and permanent magnetization, with long-term magnetization stability. We establish a scaling theory model to decipher the permanent fluid magnet formation criteria and formulate a general assembly guideline. Further, we develop injectable and retrievable permanent-fluidic-magnet-based liquid bioelectronics for highly sensitive, self-powered wireless cardiovascular monitoring. Overall, our findings highlight the potential of permanent fluidic magnets as an ultrasoft material for liquid devices and systems, from bioelectronics to robotics.
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Affiliation(s)
- Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yang Song
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Justin Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Song Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
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10
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Zhou S, Gao X, Park G, Yang X, Qi B, Lin M, Huang H, Bian Y, Hu H, Chen X, Wu RS, Liu B, Yue W, Lu C, Wang R, Bheemreddy P, Qin S, Lam A, Wear KA, Andre M, Kistler EB, Newell DW, Xu S. Transcranial volumetric imaging using a conformal ultrasound patch. Nature 2024; 629:810-818. [PMID: 38778234 DOI: 10.1038/s41586-024-07381-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/02/2024] [Indexed: 05/25/2024]
Abstract
Accurate and continuous monitoring of cerebral blood flow is valuable for clinical neurocritical care and fundamental neurovascular research. Transcranial Doppler (TCD) ultrasonography is a widely used non-invasive method for evaluating cerebral blood flow1, but the conventional rigid design severely limits the measurement accuracy of the complex three-dimensional (3D) vascular networks and the practicality for prolonged recording2. Here we report a conformal ultrasound patch for hands-free volumetric imaging and continuous monitoring of cerebral blood flow. The 2 MHz ultrasound waves reduce the attenuation and phase aberration caused by the skull, and the copper mesh shielding layer provides conformal contact to the skin while improving the signal-to-noise ratio by 5 dB. Ultrafast ultrasound imaging based on diverging waves can accurately render the circle of Willis in 3D and minimize human errors during examinations. Focused ultrasound waves allow the recording of blood flow spectra at selected locations continuously. The high accuracy of the conformal ultrasound patch was confirmed in comparison with a conventional TCD probe on 36 participants, showing a mean difference and standard deviation of difference as -1.51 ± 4.34 cm s-1, -0.84 ± 3.06 cm s-1 and -0.50 ± 2.55 cm s-1 for peak systolic velocity, mean flow velocity, and end diastolic velocity, respectively. The measurement success rate was 70.6%, compared with 75.3% for a conventional TCD probe. Furthermore, we demonstrate continuous blood flow spectra during different interventions and identify cascades of intracranial B waves during drowsiness within 4 h of recording.
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Affiliation(s)
- Sai Zhou
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Xiaoxiang Gao
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Geonho Park
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xinyi Yang
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Baiyan Qi
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Muyang Lin
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hao Huang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Yizhou Bian
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hongjie Hu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xiangjun Chen
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Ray S Wu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Boyu Liu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Wentong Yue
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Chengchangfeng Lu
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Ruotao Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Pranavi Bheemreddy
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Siyu Qin
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Arthur Lam
- Department of Anesthesiology and Critical Care, University of California San Diego, La Jolla, CA, USA
| | - Keith A Wear
- U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Michael Andre
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Erik B Kistler
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - David W Newell
- Department of Neurosurgery, Seattle Neuroscience Institute, Seattle, WA, USA
| | - Sheng Xu
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Radiology, University of California San Diego, La Jolla, CA, USA.
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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11
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Zhang Y, Jin T, Zhao Z, Yan C, Lu X, Gao H, Huang C. Curved and Annular Diaphragm Coupled Piezoelectric Micromachined Ultrasonic Transducers for High Transmit Biomedical Applications. SENSORS (BASEL, SWITZERLAND) 2024; 24:2714. [PMID: 38732819 PMCID: PMC11086298 DOI: 10.3390/s24092714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/15/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024]
Abstract
In this paper, we present a novel three-dimensional (3D) coupled configuration of piezoelectric micromachined ultrasound transducers (pMUTs) by combing a curved and an annular diaphragm for transmit performance optimization in biomedical applications. An analytical equivalent circuit model (EQC) is developed with varied excitation methods to incorporate the acoustic-structure coupling of the curved and annular diaphragm-coupled pMUTs (CAC-pMUTs). The model-derived results align well with the reference simulated by the finite element method (FEM). Using this EQC model, we optimize the key design parameters of the CAC-pMUTs in order to improve the output sound pressure, including the width of the annular membrane, the thickness of the passive layer, and the phase difference of the driving voltage. In the anti-phase mode, the designed CAC-pMUTs demonstrate a transmit efficiency 285 times higher than that of single annular pMUTs. This substantial improvement underscores the potential of CAC-pMUTs for large array applications.
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Affiliation(s)
- Yun Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tong Jin
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zijie Zhao
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
| | - Chenfang Yan
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinchao Lu
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
| | - Hang Gao
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
| | - Chengjun Huang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China; (Y.Z.); (T.J.); (C.Y.); (X.L.); (C.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
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12
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Fernandez SV, Kim JH, Sadat D, Marcus C, Suh E, Mclntosh R, Shah A, Dagdeviren C. A Dynamic Ultrasound Phantom with Tissue-Mimicking Mechanical and Acoustic Properties. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400271. [PMID: 38647427 DOI: 10.1002/advs.202400271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/25/2024] [Indexed: 04/25/2024]
Abstract
Tissue-mimicking phantoms are valuable tools that aid in improving the equipment and training available to medical professionals. However, current phantoms possess limited utility due to their inability to precisely simulate multiple physical properties simultaneously, which is crucial for achieving a system understanding of dynamic human tissues. In this work, novel materials design and fabrication processes to produce various tissue-mimicking materials (TMMs) for skin, adipose, muscle, and soft tissue at a human scale are developed. Target properties (Young's modulus, density, speed of sound, and acoustic attenuation) are first defined for each TMM based on literature. Each TMM recipe is developed, associated mechanical and acoustic properties are characterized, and the TMMs are confirmed to have comparable mechanical and acoustic properties with the corresponding human tissues. Furthermore, a novel sacrificial core to fabricate a hollow, ellipsoid-shaped bladder phantom complete with inlet and outlet tubes, which allow liquids to flow through and expand this phantom, is adopted. This dynamic bladder phantom with realistic mechanical and acoustic properties to human tissues in combination with the developed skin, soft tissue, and subcutaneous adipose tissue TMMs, culminates in a human scale torso tank and electro-mechanical system that can be systematically utilized for characterizing various medical imaging devices.
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Affiliation(s)
- Sara V Fernandez
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Jin-Hoon Kim
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - David Sadat
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Colin Marcus
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Emma Suh
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Rachel Mclntosh
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Aastha Shah
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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13
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Duque Londono C, Cones SF, Deng J, Wu J, Yuk H, Guza DE, Mooney TA, Zhao X. Bioadhesive interface for marine sensors on diverse soft fragile species. Nat Commun 2024; 15:2958. [PMID: 38627374 PMCID: PMC11021473 DOI: 10.1038/s41467-024-46833-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 03/11/2024] [Indexed: 04/19/2024] Open
Abstract
Marine animals equipped with sensors provide vital information for understanding their ecophysiology and collect oceanographic data on climate change and for resource management. Existing methods for attaching sensors to marine animals mostly rely on invasive physical anchors, suction cups, and rigid glues. These methods can suffer from limitations, particularly for adhering to soft fragile marine species such as squid and jellyfish, including slow complex operations, unreliable fixation, tissue trauma, and behavior changes of the animals. However, soft fragile marine species constitute a significant portion of ocean biomass (>38.3 teragrams of carbon) and global commercial fisheries. Here we introduce a soft hydrogel-based bioadhesive interface for marine sensors that can provide rapid (time <22 s), robust (interfacial toughness >160 J m-2), and non-invasive adhesion on various marine animals. Reliable and rapid adhesion enables large-scale, multi-animal sensor deployments to study biomechanics, collective behaviors, interspecific interactions, and concurrent multi-species activity. These findings provide a promising method to expand a burgeoning research field of marine bio-sensing from large marine mammals and fishes to small, soft, and fragile marine animals.
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Affiliation(s)
- Camilo Duque Londono
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Seth F Cones
- Massachusetts Institute of Technology and Woods Hole Oceanographic Institution Joint Program in Oceanography/Applied Ocean Science & Engineering, Cambridge, MA, 02139, USA
| | - Jue Deng
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China
| | - Jingjing Wu
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hyunwoo Yuk
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- SanaHeal Inc., Cambridge, MA, USA
| | - David E Guza
- Applied Engineering Solutions LLC, Columbus, OH, USA
| | - T Aran Mooney
- Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, 02543, USA.
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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14
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Vo TS, Hoang T, Vo TTBC, Jeon B, Nguyen VH, Kim K. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications. Adv Healthc Mater 2024:e2303923. [PMID: 38573175 DOI: 10.1002/adhm.202303923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/09/2024] [Indexed: 04/05/2024]
Abstract
Smart biosensors attract significant interest due to real-time monitoring of user health status, where bioanalytical electronic devices designed to detect various activities and biomarkers in the human body have potential applications in physical sign monitoring and health care. Bioelectronics can be well integrated by output signals with wireless communication modules for transferring data to portable devices used as smart biosensors in performing real-time diagnosis and analysis. In this review, the scientific keys of biosensing devices and the current trends in the field of smart biosensors, (functional materials, technological approaches, sensing mechanisms, main roles, potential applications and challenges in health monitoring) will be summarized. Recent advances in the design and manufacturing of bioanalytical sensors with smarter capabilities and enhanced reliability indicate a forthcoming expansion of these smart devices from laboratory to clinical analysis. Therefore, a general description of functional materials and technological approaches used in bioelectronics will be presented after the sections of scientific keys to bioanalytical sensors. A careful introduction to the established systems of smart monitoring and prediction analysis using bioelectronics, regarding the integration of machine-learning-based basic algorithms, will be discussed. Afterward, applications and challenges in development using these smart bioelectronics in biological, clinical, and medical diagnostics will also be analyzed. Finally, the review will conclude with outlooks of smart biosensing devices assisted by machine learning algorithms, wireless communications, or smartphone-based systems on current trends and challenges for future works in wearable health monitoring.
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Affiliation(s)
- Thi Sinh Vo
- School of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Trung Hoang
- Department of Biophysics, Sungkyunkwan University, Suwon, 16419, South Korea
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Tran Thi Bich Chau Vo
- Faculty of Industrial Management, College of Engineering, Can Tho University, Can Tho, 900000, Vietnam
| | - Byounghyun Jeon
- School of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Vu Hoang Nguyen
- Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC, 3800, Australia
| | - Kyunghoon Kim
- School of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea
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15
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Lan L, Ping J, Li H, Wang C, Li G, Song J, Ying Y. Skin-Inspired All-Natural Biogel for Bioadhesive Interface. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2401151. [PMID: 38558183 DOI: 10.1002/adma.202401151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 03/27/2024] [Indexed: 04/04/2024]
Abstract
Natural material-based hydrogels are considered ideal candidates for constructing robust bio-interfaces due to their environmentally sustainable nature and biocompatibility. However, these hydrogels often encounter limitations such as weak mechanical strength, low water resistance, and poor ionic conductivity. Here, inspired by the role of natural moisturizing factor (NMF) in skin, a straightforward yet versatile strategy is proposed for fabricating all-natural ionic biogels that exhibit high resilience, ionic conductivity, resistance to dehydration, and complete degradability, without necessitating any chemical modification. A well-balanced combination of gelatin and sodium pyrrolidone carboxylic acid (an NMF compound) gives rise to a significant enhancement in the mechanical strength, ionic conductivity, and water retention capacity of the biogel compared to pure gelatin hydrogel. The biogel manifests temperature-controlled reversible fluid-gel transition properties attributed to the triple-helix junctions of gelatin, which enables in situ gelation on diverse substrates, thereby ensuring conformal contact and dynamic compliance with curved surfaces. Due to its salutary properties, the biogel can serve as an effective and biocompatible interface for high-quality and long-term electrophysiological signal recording. These findings provide a general and scalable approach for designing natural material-based hydrogels with tailored functionalities to meet diverse application needs.
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Affiliation(s)
- Lingyi Lan
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Jianfeng Ping
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China
| | - Huiyan Li
- The State Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou, 310027, P.R. China
| | - Chengjun Wang
- Department of Engineering Mechanics and Soft Matter Research Center, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou, 310027, P.R. China
| | - Guang Li
- The State Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou, 310027, P.R. China
| | - Jizhou Song
- Department of Engineering Mechanics and Soft Matter Research Center, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou, 310027, P.R. China
| | - Yibin Ying
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China
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16
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Wu Y, Liu P, Mehrjou B, Chu PK. Interdisciplinary-Inspired Smart Antibacterial Materials and Their Biomedical Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2305940. [PMID: 37469232 DOI: 10.1002/adma.202305940] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 07/21/2023]
Abstract
The discovery of antibiotics has saved millions of lives, but the emergence of antibiotic-resistant bacteria has become another problem in modern medicine. To avoid or reduce the overuse of antibiotics in antibacterial treatments, stimuli-responsive materials, pathogen-targeting nanoparticles, immunogenic nano-toxoids, and biomimetic materials are being developed to make sterilization better and smarter than conventional therapies. The common goal of smart antibacterial materials (SAMs) is to increase the antibiotic efficacy or function via an antibacterial mechanism different from that of antibiotics in order to increase the antibacterial and biological properties while reducing the risk of drug resistance. The research and development of SAMs are increasingly interdisciplinary because new designs require the knowledge of different fields and input/collaboration from scientists in different fields. A good understanding of energy conversion in materials, physiological characteristics in cells and bacteria, and bactericidal structures and components in nature are expected to promote the development of SAMs. In this review, the importance of multidisciplinary insights for SAMs is emphasized, and the latest advances in SAMs are categorized and discussed according to the pertinent disciplines including materials science, physiology, and biomimicry.
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Affiliation(s)
- Yuzheng Wu
- Department of Physics, Department of Materials Science and Engineering and Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, 999077, China
| | - Pei Liu
- Department of Physics, Department of Materials Science and Engineering and Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, 999077, China
| | - Babak Mehrjou
- Department of Physics, Department of Materials Science and Engineering and Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, 999077, China
| | - Paul K Chu
- Department of Physics, Department of Materials Science and Engineering and Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, 999077, China
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17
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Dutta A, Niu Z, Abdullah AM, Tiwari N, Biswas MAS, Li B, Lorestani F, Jing Y, Cheng H, Zhang S. Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2303403. [PMID: 38348559 PMCID: PMC11022739 DOI: 10.1002/advs.202303403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 01/14/2024] [Indexed: 03/20/2024]
Abstract
Communication with hand gestures plays a significant role in human-computer interaction by providing an intuitive and natural way for humans to communicate with machines. Ultrasound-based devices have shown promising results in contactless hand gesture recognition without requiring physical contact. However, it is challenging to fabricate a densely packed wearable ultrasound array. Here, a stretchable ultrasound array is demonstrated with closely packed transducer elements fabricated using surface charge engineering between pre-charged 1-3 Lead Zirconate Titanate (PZT) composite and thin polyimide film without using a microscope. The array exhibits excellent ultrasound properties with a wide bandwidth (≈57.1%) and high electromechanical coefficient (≈0.75). The ultrasound array can decipher gestures up to 10 cm in distance by using a contactless triboelectric module and identify materials from the time constant of the exponentially decaying impedance based on their triboelectric properties by utilizing the electrostatic induction phase. The newly proposed metric of the areal-time constant is material-specific and decreases monotonically from a highly positive human body (1.13 m2 s) to negatively charged polydimethylsiloxane (PDMS) (0.02 m2 s) in the triboelectric series. The capability of the closely packed ultrasound array to detect material along with hand gesture interpretation provides an additional dimension in the next-generation human-robot interaction.
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Affiliation(s)
- Ankan Dutta
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
- Center for Neural EngineeringThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Zhenyuan Niu
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Abu Musa Abdullah
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Naveen Tiwari
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
- Center for Research in Biological Chemistry and Molecular Materials (CiQUS)University of Santiago de CompostelaSantiago de Compostela15705Spain
| | - Md Abu Sayeed Biswas
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Bowen Li
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Farnaz Lorestani
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Yun Jing
- Graduate Program in AcousticsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Huanyu Cheng
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkState CollegePA16802USA
| | - Senhao Zhang
- Suzhou Institute of Biomedical Engineering and TechnologyUniversity of Science and Technology of ChinaSchool of Biomedical Engineering165085, 88 Keling Rd, Huqiu DistrictSuzhouJiangsu215163China
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18
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Wang K, Song Y, Kang Y, Guo Y, Ma H, Wu S, Yang J. Ultrasonic detection method based on flexible capillary water column arrays coupling. ULTRASONICS 2024; 139:107276. [PMID: 38461795 DOI: 10.1016/j.ultras.2024.107276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 02/17/2024] [Accepted: 02/25/2024] [Indexed: 03/12/2024]
Abstract
Conventional water immersion ultrasonic testing faces limitations due to factors such as environmental conditions, workpiece dimensions, corrosion, and resource wastage. Contact-based coupling methods, which employ coupling media or specific coupling structures, offer a convenient approach to coupling acoustic waves and reduce signal attenuation. However, these methods are time-sensitive and lack adaptability to uneven surfaces, particularly when dealing with workpieces featuring subtle undulations, resulting in significant signal decay. This paper presents an ultrasonic coupling method based on a flexible capillary water column array. By employing a stable and flexible water column array within the micro-channels as the coupling medium, stable contact-based transmission of ultrasonic signals is achieved. The influence of water column array unit dimensions and array structures is explored through theoretical analysis and experimentation, demonstrating lower energy attenuation compared to reductions in water column area. Notably, the tests revealed the method's adaptability at oblique angles below 20°, which surpasses the performance of submerged detection at similar angles. This research presents an innovative and stable approach for contact-based ultrasonic coupling testing, particularly in scenarios involving dynamic contact scanning between ultrasonic waves and workpieces.
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Affiliation(s)
- Kai Wang
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China
| | - Yini Song
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China
| | - Yihua Kang
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China.
| | - Yizhou Guo
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China
| | - Hongbao Ma
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China
| | - Shengping Wu
- Wuhan Huayu Electromagnetic Testing Equipment Co, China
| | - Jin Yang
- Wuhan College of Arts & Sciences, China
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19
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van Neer PLMJ, Peters LCJM, Verbeek RGFA, Peeters B, de Haas G, Hörchens L, Fillinger L, Schrama T, Merks-Swolfs EJW, Gijsbertse K, Saris AECM, Mozaffarzadeh M, Menssen JM, de Korte CL, van der Steen JLPJ, Volker AWF, Gelinck GH. Flexible large-area ultrasound arrays for medical applications made using embossed polymer structures. Nat Commun 2024; 15:2802. [PMID: 38555281 PMCID: PMC10981753 DOI: 10.1038/s41467-024-47074-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 03/12/2024] [Indexed: 04/02/2024] Open
Abstract
With the huge progress in micro-electronics and artificial intelligence, the ultrasound probe has become the bottleneck in further adoption of ultrasound beyond the clinical setting (e.g. home and monitoring applications). Today, ultrasound transducers have a small aperture, are bulky, contain lead and are expensive to fabricate. Furthermore, they are rigid, which limits their integration into flexible skin patches. New ways to fabricate flexible ultrasound patches have therefore attracted much attention recently. First prototypes typically use the same lead-containing piezo-electric materials, and are made using micro-assembly of rigid active components on plastic or rubber-like substrates. We present an ultrasound transducer-on-foil technology based on thermal embossing of a piezoelectric polymer. High-quality two-dimensional ultrasound images of a tissue mimicking phantom are obtained. Mechanical flexibility and effective area scalability of the transducer are demonstrated by functional integration into an endoscope probe with a small radius of 3 mm and a large area (91.2×14 mm2) non-invasive blood pressure sensor.
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Affiliation(s)
| | | | - Roy G F A Verbeek
- Holst Centre, TNO, High Tech Campus 31, 5656 AE, Eindhoven, The Netherlands
| | - Bart Peeters
- Holst Centre, TNO, High Tech Campus 31, 5656 AE, Eindhoven, The Netherlands
| | - Gerard de Haas
- Holst Centre, TNO, High Tech Campus 31, 5656 AE, Eindhoven, The Netherlands
| | - Lars Hörchens
- Acoustics & Underwater Warfare, TNO, The Hague, The Netherlands
| | | | - Thijs Schrama
- Acoustics & Underwater Warfare, TNO, The Hague, The Netherlands
| | | | | | - Anne E C M Saris
- Medical Ultrasound Imaging Center, Department of Medical Imaging, Radboud university medical centre, Nijmegen, The Netherlands
| | - Moein Mozaffarzadeh
- Medical Ultrasound Imaging Center, Department of Medical Imaging, Radboud university medical centre, Nijmegen, The Netherlands
| | - Jan M Menssen
- Medical Ultrasound Imaging Center, Department of Medical Imaging, Radboud university medical centre, Nijmegen, The Netherlands
| | - Chris L de Korte
- Medical Ultrasound Imaging Center, Department of Medical Imaging, Radboud university medical centre, Nijmegen, The Netherlands
- Physics of Fluids Group, Techmed Centre, Twente University, Enschede, the Netherlands
| | | | - Arno W F Volker
- Acoustics & Underwater Warfare, TNO, The Hague, The Netherlands
| | - Gerwin H Gelinck
- Holst Centre, TNO, High Tech Campus 31, 5656 AE, Eindhoven, The Netherlands.
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20
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Wang W, Zhou H, Xu Z, Li Z, Zhang L, Wan P. Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2401035. [PMID: 38552161 DOI: 10.1002/adma.202401035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/19/2024] [Indexed: 05/01/2024]
Abstract
Wearable epidermic electronics assembled from conductive hydrogels are attracting various research attention for their seamless integration with human body for conformally real-time health monitoring, clinical diagnostics and medical treatment, and human-interactive sensing. Nevertheless, it remains a tremendous challenge to simultaneously achieve conformally bioadhesive epidermic electronics with remarkable self-adhesiveness, reliable ultraviolet (UV) protection ability, and admirable sensing performance for high-fidelity epidermal electrophysiological signals monitoring, along with timely photothermal therapeutic performances after medical diagnostic sensing, as well as efficient antibacterial activity and reliable hemostatic effect for potential medical therapy. Herein, a conformally bioadhesive hydrogel-based epidermic sensor, featuring superior self-adhesiveness and excellent UV-protection performance, is developed by dexterously assembling conducting MXene nanosheets network with biological hydrogel polymer network for conformally stably attaching onto human skin for high-quality recording of various epidermal electrophysiological signals with high signal-to-noise ratios (SNR) and low interfacial impedance for intelligent medical diagnosis and smart human-machine interface. Moreover, a smart sign language gesture recognition platform based on collected electromyogram (EMG) signals is designed for hassle-free communication with hearing-impaired people with the help of advanced machine learning algorithms. Meanwhile, the bioadhesive MXene hydrogel possesses reliable antibacterial capability, excellent biocompatibility, and effective hemostasis properties for promising bacterial-infected wound bleeding.
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Affiliation(s)
- Wei Wang
- College of Materials Science and Engineering, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Hailiang Zhou
- College of Materials Science and Engineering, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zhishan Xu
- College of Materials Science and Engineering, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zehui Li
- College of Materials Science and Engineering, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Liqun Zhang
- College of Materials Science and Engineering, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Pengbo Wan
- College of Materials Science and Engineering, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, China
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21
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Li H, Tan P, Rao Y, Bhattacharya S, Wang Z, Kim S, Gangopadhyay S, Shi H, Jankovic M, Huh H, Li Z, Maharjan P, Wells J, Jeong H, Jia Y, Lu N. E-Tattoos: Toward Functional but Imperceptible Interfacing with Human Skin. Chem Rev 2024; 124:3220-3283. [PMID: 38465831 DOI: 10.1021/acs.chemrev.3c00626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The human body continuously emits physiological and psychological information from head to toe. Wearable electronics capable of noninvasively and accurately digitizing this information without compromising user comfort or mobility have the potential to revolutionize telemedicine, mobile health, and both human-machine or human-metaverse interactions. However, state-of-the-art wearable electronics face limitations regarding wearability and functionality due to the mechanical incompatibility between conventional rigid, planar electronics and soft, curvy human skin surfaces. E-Tattoos, a unique type of wearable electronics, are defined by their ultrathin and skin-soft characteristics, which enable noninvasive and comfortable lamination on human skin surfaces without causing obstruction or even mechanical perception. This review article offers an exhaustive exploration of e-tattoos, accounting for their materials, structures, manufacturing processes, properties, functionalities, applications, and remaining challenges. We begin by summarizing the properties of human skin and their effects on signal transmission across the e-tattoo-skin interface. Following this is a discussion of the materials, structural designs, manufacturing, and skin attachment processes of e-tattoos. We classify e-tattoo functionalities into electrical, mechanical, optical, thermal, and chemical sensing, as well as wound healing and other treatments. After discussing energy harvesting and storage capabilities, we outline strategies for the system integration of wireless e-tattoos. In the end, we offer personal perspectives on the remaining challenges and future opportunities in the field.
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Affiliation(s)
- Hongbian Li
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Philip Tan
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Yifan Rao
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Sarnab Bhattacharya
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zheliang Wang
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Sangjun Kim
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Susmita Gangopadhyay
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Hongyang Shi
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Matija Jankovic
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Heeyong Huh
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhengjie Li
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Pukar Maharjan
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jonathan Wells
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Hyoyoung Jeong
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, United States
| | - Yaoyao Jia
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
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22
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Sharma SN, Lee Y. Monitoring homeostasis with ultrasound. Science 2024; 383:1058-1059. [PMID: 38452097 DOI: 10.1126/science.ado2145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
An implant could allow at-home monitoring of deep-tissue changes after surgery.
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Affiliation(s)
- Shonit Nair Sharma
- Department of Anesthesiology, Perioperative and Pain Medicine, Center for Accelerated Medical Innovation, and Center for Nanomedicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yuhan Lee
- Department of Anesthesiology, Perioperative and Pain Medicine, Center for Accelerated Medical Innovation, and Center for Nanomedicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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23
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Xia Y, Sun C, Liu W, Wang X, Wen K, Feng Z, Zhang G, Fan E, He Q, Lin Z, Gou Y, Wu Y, Yang J. Ultra-Broadband Flexible Thin-Film Sensor for Sound Monitoring and Ultrasonic Diagnosis. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2305678. [PMID: 37875729 DOI: 10.1002/smll.202305678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/07/2023] [Indexed: 10/26/2023]
Abstract
Small-scale and flexible acoustic probes are more desirable for exquisite objects like human bodies and complex-shaped components than conventional rigid ones. Herein, a thin-film flexible acoustic sensor (FA-TES) that can detect ultra-broadband acoustic signals in multiple applications is proposed. The device consists of two thin copper-coated polyvinyl chloride films, which are stimulated by acoustic waves and contact each other to generate the triboelectric signal. Interlocking nanocolumn arrays fabricated on the friction surfaces are regarded as a highly adaptive spacer enabling this device to respond to ultra-broadband acoustic signals (100 Hz-4 MHz) and enhance sensor sensitivity for film weak vibration. Benefiting from the characteristics of high shape adaptability and ultrawide response range, the FA-TES can precisely sense human physiological sounds and voice (≤10 kHz) for laryngeal health monitoring and interaction in real-time. Moreover, the FA-TES flexibly arranged on a 3D-printed vertebra model can effectively and accurately diagnose the inner defect by ultrasonic testing (≥1 MHz). It envisions that this work can provide new ideas for flexible acoustic sensor designs and optimize real-time acoustic detections of human bodies and complex components.
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Affiliation(s)
- Yushu Xia
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Chenchen Sun
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Wencai Liu
- CNPC Research Institute of Safety & Environment Technology, Beijing, 100007, China
| | - Xue Wang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Ke Wen
- Natural Gas Purification Plant of PetroChina Southwest Oil & Gasfield Company, 401120, Chongqing, China
| | - Zhiping Feng
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Gaoqiang Zhang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Endong Fan
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Qiang He
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Zhiwei Lin
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Yunfeng Gou
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Yufen Wu
- College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, 401331, China
| | - Jin Yang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China
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24
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Lin M, Zhang Z, Gao X, Bian Y, Wu RS, Park G, Lou Z, Zhang Z, Xu X, Chen X, Kang A, Yang X, Yue W, Yin L, Wang C, Qi B, Zhou S, Hu H, Huang H, Li M, Gu Y, Mu J, Yang A, Yaghi A, Chen Y, Lei Y, Lu C, Wang R, Wang J, Xiang S, Kistler EB, Vasconcelos N, Xu S. A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects. Nat Biotechnol 2024; 42:448-457. [PMID: 37217752 DOI: 10.1038/s41587-023-01800-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 04/21/2023] [Indexed: 05/24/2023]
Abstract
Recent advances in wearable ultrasound technologies have demonstrated the potential for hands-free data acquisition, but technical barriers remain as these probes require wire connections, can lose track of moving targets and create data-interpretation challenges. Here we report a fully integrated autonomous wearable ultrasonic-system-on-patch (USoP). A miniaturized flexible control circuit is designed to interface with an ultrasound transducer array for signal pre-conditioning and wireless data communication. Machine learning is used to track moving tissue targets and assist the data interpretation. We demonstrate that the USoP allows continuous tracking of physiological signals from tissues as deep as 164 mm. On mobile subjects, the USoP can continuously monitor physiological signals, including central blood pressure, heart rate and cardiac output, for as long as 12 h. This result enables continuous autonomous surveillance of deep tissue signals toward the internet-of-medical-things.
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Affiliation(s)
- Muyang Lin
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Ziyang Zhang
- Department of Computer Science Engineering, University of California San Diego, La Jolla, CA, USA
| | - Xiaoxiang Gao
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Yizhou Bian
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Ray S Wu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Geonho Park
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Zhiyuan Lou
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Zhuorui Zhang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Xiangchen Xu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Xiangjun Chen
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Andrea Kang
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Xinyi Yang
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Wentong Yue
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Lu Yin
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Chonghe Wang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Baiyan Qi
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Sai Zhou
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Hongjie Hu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Hao Huang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Mohan Li
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Yue Gu
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
- Department of Neurosurgery, Yale University, New Haven, CT, USA
| | - Jing Mu
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA
| | - Albert Yang
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Amer Yaghi
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Yimu Chen
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Yusheng Lei
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Chengchangfeng Lu
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Ruotao Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA
| | | | - Erik B Kistler
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Department of Anesthesiology and Critical Care, University of California San Diego, La Jolla, CA, USA
| | - Nuno Vasconcelos
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Sheng Xu
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
- Department of Radiology, School of Medicine, University of California San Diego, La Jolla, CA, USA.
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25
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Sitek A. Artificial Intelligence in Radiology: Bridging Global Health Care Gaps through Innovation and Inclusion. Radiol Artif Intell 2024; 6:e240093. [PMID: 38477674 PMCID: PMC10982909 DOI: 10.1148/ryai.240093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 03/14/2024]
Affiliation(s)
- Arkadiusz Sitek
- From the Department of Radiology, Massachusetts General Hospital,
Harvard Medical School, 100 Cambridge St, Boston, MA 02114
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26
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Kenny JES. Wearable ultrasound for continuous deep-tissue monitoring. Nat Biotechnol 2024; 42:386-387. [PMID: 38228778 DOI: 10.1038/s41587-023-02098-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Affiliation(s)
- Jon-Emile S Kenny
- Health Sciences North Research Institute, Sudbury, Ontario, Canada.
- Flosonics Medical, Toronto, Ontario, Canada.
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27
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Lin Z, Duan S, Liu M, Dang C, Qian S, Zhang L, Wang H, Yan W, Zhu M. Insights into Materials, Physics, and Applications in Flexible and Wearable Acoustic Sensing Technology. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2306880. [PMID: 38015990 DOI: 10.1002/adma.202306880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/22/2023] [Indexed: 11/30/2023]
Abstract
Sound plays a crucial role in the perception of the world. It allows to communicate, learn, and detect potential dangers, diagnose diseases, and much more. However, traditional acoustic sensors are limited in their form factors, being rigid and cumbersome, which restricts their potential applications. Recently, acoustic sensors have made significant advancements, transitioning from rudimentary forms to wearable devices and smart everyday clothing that can conform to soft, curved, and deformable surfaces or surroundings. In this review, the latest scientific and technological breakthroughs with insightful analysis in materials, physics, design principles, fabrication strategies, functions, and applications of flexible and wearable acoustic sensing technology are comprehensively explored. The new generation of acoustic sensors that can recognize voice, interact with machines, control robots, enable marine positioning and localization, monitor structural health, diagnose human vital signs in deep tissues, and perform organ imaging is highlighted. These innovations offer unique solutions to significant challenges in fields such as healthcare, biomedicine, wearables, robotics, and metaverse. Finally, the existing challenges and future opportunities in the field are addressed, providing strategies to advance acoustic sensing technologies for intriguing real-world applications and inspire new research directions.
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Affiliation(s)
- Zhiwei Lin
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
- School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, 639798, Singapore
| | - Shengshun Duan
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
- School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, 639798, Singapore
| | - Mingyang Liu
- School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, 639798, Singapore
| | - Chao Dang
- School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, 639798, Singapore
| | - Shengtai Qian
- School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, 639798, Singapore
| | - Luxue Zhang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Hailiang Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Wei Yan
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Meifang Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
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28
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Khokhlova TD, Thomas GP, Hall J, Steinbock K, Thiel J, Cunitz BW, Bailey MR, Anderson L, Kessler R, Hall MK, Adedipe AA. Development of an Automated Ultrasound Signal Indicator of Lung Interstitial Syndrome. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:513-523. [PMID: 38050780 PMCID: PMC10922254 DOI: 10.1002/jum.16383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/26/2023] [Accepted: 11/18/2023] [Indexed: 12/06/2023]
Abstract
OBJECTIVES The number and distribution of lung ultrasound (LUS) imaging artifacts termed B-lines correlate with the presence of acute lung disease such as infection, acute respiratory distress syndrome (ARDS), and pulmonary edema. Detection and interpretation of B-lines require dedicated training and is machine and operator-dependent. The goal of this study was to identify radio frequency (RF) signal features associated with B-lines in a cohort of patients with cardiogenic pulmonary edema. A quantitative signal indicator could then be used in a single-element, non-imaging, wearable, automated lung ultrasound sensor (LUSS) for continuous hands-free monitoring of lung fluid. METHODS In this prospective study a 10-zone LUS exam was performed in 16 participants, including 12 patients admitted with acute cardiogenic pulmonary edema (mean age 60 ± 12 years) and 4 healthy controls (mean age 44 ± 21). Overall,160 individual LUS video clips were recorded. The LUS exams were performed with a phased array probe driven by an open-platform ultrasound system with simultaneous RF signal collection. RF data were analyzed offline for candidate B-line indicators based on signal amplitude, temporal variability, and frequency spectrum; blinded independent review of LUS images for the presence or absence of B-lines served as ground truth. Predictive performance of the signal indicators was determined with receiving operator characteristic (ROC) analysis with k-fold cross-validation. RESULTS Two RF signal features-temporal variability of signal amplitude at large depths and at the pleural line-were strongly associated with B-line presence. The sensitivity and specificity of a combinatorial indicator were 93.2 and 58.5%, respectively, with cross-validated area under the ROC curve (AUC) of 0.91 (95% CI = 0.80-0.94). CONCLUSION A combinatorial signal indicator for use with single-element non-imaging LUSS was developed to facilitate continuous monitoring of lung fluid in patients with respiratory illness.
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Affiliation(s)
- Tatiana D Khokhlova
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
| | - Gilles P Thomas
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
| | - Jane Hall
- Department of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Kyle Steinbock
- Department of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Jeff Thiel
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
| | - Bryan W Cunitz
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
| | - Michael R Bailey
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, Washington, USA
| | - Layla Anderson
- Department of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Ross Kessler
- Department of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - M Kennedy Hall
- Department of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Adeyinka A Adedipe
- Department of Emergency Medicine, University of Washington School of Medicine, Seattle, Washington, USA
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29
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Liu HC, Zeng Y, Gong C, Chen X, Kijanka P, Zhang J, Genyk Y, Tchelepi H, Wang C, Zhou Q, Zhao X. Wearable bioadhesive ultrasound shear wave elastography. SCIENCE ADVANCES 2024; 10:eadk8426. [PMID: 38335289 PMCID: PMC10857377 DOI: 10.1126/sciadv.adk8426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/10/2024] [Indexed: 02/12/2024]
Abstract
Acute liver failure (ALF) is a critical medical condition defined as the rapid development of hepatic dysfunction. Conventional ultrasound elastography cannot continuously monitor liver stiffness over the course of rapidly changing diseases for early detection due to the requirement of a handheld probe. In this study, we introduce wearable bioadhesive ultrasound elastography (BAUS-E), which can generate acoustic radiation force impulse (ARFI) to induce shear waves for the continuous monitoring of modulus changes. BAUS-E contains 128 channels with a compact design with only 24 mm in the azimuth direction for comfortable wearability. We further used BAUS-E to continuously monitor the stiffness of in vivo rat livers with ALF induced by d-galactosamine over 48 hours, and the stiffness change was observed within the first 6 hours. BAUS-E holds promise for clinical applications, particularly in patients after organ transplantation or postoperative care in the intensive care unit (ICU).
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Affiliation(s)
- Hsiao-Chuan Liu
- Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
| | - Yushun Zeng
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Chen Gong
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xiaoyu Chen
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
| | - Piotr Kijanka
- Department of Robotics and Mechatronics, AGH University of Krakow, Krakow 30059, Poland
| | - Junhang Zhang
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Yuri Genyk
- Division of Hepatobiliary, Pancreatic and Abdominal Organ Transplant Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Hisham Tchelepi
- Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Chonghe Wang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
| | - Qifa Zhou
- Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
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30
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Huang J, Chen A, Liao J, Han S, Wu Q, Zhang J, Chen Y, Lin X, Guan L. Physiological sensing system integrated with vibration sensor and frequency gel dampers inspired by spider. MATERIALS HORIZONS 2024; 11:822-834. [PMID: 38018413 DOI: 10.1039/d3mh01719b] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Recent advances in bioelectronics in mechanical and electrophysiological signal detection are remarkable, but there are still limitations because they are inevitably affected by environmental noise and motion artifacts. Thus, we develop a gel damper-integrated crack sensor inspired by the vibration response of the viscoelastic cuticular pad and slit organs in a spider. Benefitting from the specific crack structure design, the sensor possesses excellent sensing behaviors, including a low detection limit (0.05% strain), ultrafast response ability (3.4 ms) and superior durability (>300 000 cycles). Such typical low-amplitude fast response properties allow the ability to accurately perceive vibration frequency and waveform. In addition, the gel damper exhibits frequency-dependent dynamic mechanical behavior that results in improved stability and reliability of signal acquisition by providing shock resistance and isolating external factors. They effectively attenuate external motion artifacts and low-frequency mechanical noise, resulting in cleaner and more reliable signal acquisition. When the gel damper is combined with the crack-based vibration sensor, the integrated sensor exhibits superior anti-interference capability and frequency selectivity, demonstrating its effectiveness in extracting genuine vocal vibration signals from raw voice recordings. The integration of damping materials with sensors offers an efficient approach to improving signal acquisition and signal quality in various applications.
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Affiliation(s)
- Jianren Huang
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Anbang Chen
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Jinrong Liao
- Laboratory of Radiation Oncology and Radiobiology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Songjiu Han
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Qirui Wu
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Jiayu Zhang
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Yujia Chen
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Xiandong Lin
- Laboratory of Radiation Oncology and Radiobiology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Lunhui Guan
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
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31
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Zhang Z, Shi Z, Ahmed D. SonoTransformers: Transformable acoustically activated wireless microscale machines. Proc Natl Acad Sci U S A 2024; 121:e2314661121. [PMID: 38289954 PMCID: PMC10861920 DOI: 10.1073/pnas.2314661121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 12/22/2023] [Indexed: 02/01/2024] Open
Abstract
Shape transformation, a key mechanism for organismal survival and adaptation, has gained importance in developing synthetic shape-shifting systems with diverse applications ranging from robotics to bioengineering. However, designing and controlling microscale shape-shifting materials remains a fundamental challenge in various actuation modalities. As materials and structures are scaled down to the microscale, they often exhibit size-dependent characteristics, and the underlying physical mechanisms can be significantly affected or rendered ineffective. Additionally, surface forces such as van der Waals forces and electrostatic forces become dominant at the microscale, resulting in stiction and adhesion between small structures, making them fracture and more difficult to deform. Furthermore, despite various actuation approaches, acoustics have received limited attention despite their potential advantages. Here, we introduce "SonoTransformer," the acoustically activated micromachine that delivers shape transformability using preprogrammed soft hinges with different stiffnesses. When exposed to an acoustic field, these hinges concentrate sound energy through intensified oscillation and provide the necessary force and torque for the transformation of the entire micromachine within milliseconds. We have created machine designs to predetermine the folding state, enabling precise programming and customization of the acoustic transformation. Additionally, we have shown selective shape transformable microrobots by adjusting acoustic power, realizing high degrees of control and functional versatility. Our findings open new research avenues in acoustics, physics, and soft matter, offering new design paradigms and development opportunities in robotics, metamaterials, adaptive optics, flexible electronics, and microtechnology.
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Affiliation(s)
- Zhiyuan Zhang
- Acoustic Robotics Systems Lab, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zurich, ZurichCH-8803, Switzerland
| | - Zhan Shi
- Acoustic Robotics Systems Lab, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zurich, ZurichCH-8803, Switzerland
| | - Daniel Ahmed
- Acoustic Robotics Systems Lab, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zurich, ZurichCH-8803, Switzerland
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32
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Xu C, Song Y, Sempionatto JR, Solomon SA, Yu Y, Nyein HYY, Tay RY, Li J, Heng W, Min J, Lao A, Hsiai TK, Sumner JA, Gao W. A physicochemical-sensing electronic skin for stress response monitoring. NATURE ELECTRONICS 2024; 7:168-179. [PMID: 38433871 PMCID: PMC10906959 DOI: 10.1038/s41928-023-01116-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 12/19/2023] [Indexed: 03/05/2024]
Abstract
Approaches to quantify stress responses typically rely on subjective surveys and questionnaires. Wearable sensors can potentially be used to continuously monitor stress-relevant biomarkers. However, the biological stress response is spread across the nervous, endocrine, and immune systems, and the capabilities of current sensors are not sufficient for condition-specific stress response evaluation. Here we report an electronic skin for stress response assessment that non-invasively monitors three vital signs (pulse waveform, galvanic skin response and skin temperature) and six molecular biomarkers in human sweat (glucose, lactate, uric acid, sodium ions, potassium ions and ammonium). We develop a general approach to prepare electrochemical sensors that relies on analogous composite materials for stabilizing and conserving sensor interfaces. The resulting sensors offer long-term sweat biomarker analysis of over 100 hours with high stability. We show that the electronic skin can provide continuous multimodal physicochemical monitoring over a 24-hour period and during different daily activities. With the help of a machine learning pipeline, we also show that the platform can differentiate three stressors with an accuracy of 98.0%, and quantify psychological stress responses with a confidence level of 98.7%.
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Affiliation(s)
- Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
- These authors contributed equally to this work
| | - Yu Song
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
- These authors contributed equally to this work
| | - Juliane R. Sempionatto
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
- These authors contributed equally to this work
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
- These authors contributed equally to this work
| | - You Yu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Hnin Y. Y. Nyein
- Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | - Roland Yingjie Tay
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jiahong Li
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Wenzheng Heng
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Alison Lao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Tzung K. Hsiai
- Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Jennifer A. Sumner
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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Li Q, Li D, Lu J, Zou K, Wang L, Jiao Y, Wang M, Gao R, Song J, Li Y, Li F, Ji J, Wang J, Li L, Ye T, He E, Chen H, Wang Y, Ren J, Bai C, Yang S, Zhang Y. Interface-Stabilized Fiber Sensor for Real-Time Monitoring of Amniotic Fluid During Pregnancy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307726. [PMID: 37775103 DOI: 10.1002/adma.202307726] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Indexed: 10/01/2023]
Abstract
Diseases in pregnancy endanger millions of fetuses worldwide every year. The onset of these diseases can be early warned by the dynamic abnormalities of biochemicals in amniotic fluid, thus requiring real-time monitoring. However, when continuously penetrated by detection devices, the amnion is prone to loss of robustness and rupture, which is difficult to regenerate. Here, an interface-stabilized fiber sensor is presented for real-time monitoring of biochemical dynamics in amniotic fluid during pregnancy. The sensor is seamlessly integrated into the amnion through tissue adhesion, amniotic regeneration, and uniform stress distribution, posing no risk to the amniotic fluid environment. The sensor demonstrates a response performance of less than 0.3% fluctuation under complex dynamic conditions and an accuracy of more than 98% from the second to the third trimester. By applying it to early warning of diseases such as intrauterine hypoxia, intrauterine infection, and fetal growth restriction, fetal survival increases to 95% with timely intervention.
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Affiliation(s)
- Qianming Li
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Dan Li
- Key Laboratory of Inflammation and Immunoregulation, School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Jiang Lu
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Kuangyi Zou
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Lie Wang
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Yiding Jiao
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Maosen Wang
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Rui Gao
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Jie Song
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Yiran Li
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Fangyan Li
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Jianjian Ji
- Key Laboratory of Inflammation and Immunoregulation, School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Jiacheng Wang
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Luhe Li
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Tingting Ye
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Er He
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Hao Chen
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Yuanzhen Wang
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Junye Ren
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Chenyu Bai
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Shuo Yang
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Ye Zhang
- College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Centre, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
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Zhang L, Du W, Kim JH, Yu CC, Dagdeviren C. An Emerging Era: Conformable Ultrasound Electronics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307664. [PMID: 37792426 DOI: 10.1002/adma.202307664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/19/2023] [Indexed: 10/05/2023]
Abstract
Conformable electronics are regarded as the next generation of personal healthcare monitoring and remote diagnosis devices. In recent years, piezoelectric-based conformable ultrasound electronics (cUSE) have been intensively studied due to their unique capabilities, including nonradiative monitoring, soft tissue imaging, deep signal decoding, wireless power transfer, portability, and compatibility. This review provides a comprehensive understanding of cUSE for use in biomedical and healthcare monitoring systems and a summary of their recent advancements. Following an introduction to the fundamentals of piezoelectrics and ultrasound transducers, the critical parameters for transducer design are discussed. Next, five types of cUSE with their advantages and limitations are highlighted, and the fabrication of cUSE using advanced technologies is discussed. In addition, the working function, acoustic performance, and accomplishments in various applications are thoroughly summarized. It is noted that application considerations must be given to the tradeoffs between material selection, manufacturing processes, acoustic performance, mechanical integrity, and the entire integrated system. Finally, current challenges and directions for the development of cUSE are highlighted, and research flow is provided as the roadmap for future research. In conclusion, these advances in the fields of piezoelectric materials, ultrasound transducers, and conformable electronics spark an emerging era of biomedicine and personal healthcare.
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Affiliation(s)
- Lin Zhang
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Wenya Du
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Jin-Hoon Kim
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Chia-Chen Yu
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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35
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Jiao H, Mao Q, Razzaq N, Ankri R, Cui J. Ultrasound technology assisted colloidal nanocrystal synthesis and biomedical applications. ULTRASONICS SONOCHEMISTRY 2024; 103:106798. [PMID: 38330546 PMCID: PMC10865478 DOI: 10.1016/j.ultsonch.2024.106798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 12/08/2023] [Accepted: 02/01/2024] [Indexed: 02/10/2024]
Abstract
Non-invasive and high spatiotemporal resolution mythologies for the diagnosis and treatment of disease in clinical medicine promote the development of modern medicine. Ultrasound (US) technology provides a non-invasive, real-time, and cost-effective clinical imaging modality, which plays a significant role in chemical synthesis and clinical translation, especially in in vivo imaging and cancer therapy. On the one hand, the US treatment is usually accompanied by cavitation, leading to high temperature and pressure, so-called "hot spot", playing a significant role in sonochemical-based colloidal synthesis. Compared with the classical nucleation synthetic method, the sonochemical synthesis strategy presents high efficiency for the fabrication of colloidal nanocrystals due to its fast nucleation and growth procedure. On the other hand, the US is attractive for in vivo and medical treatment, with applications increasing with the development of novel contrast agents, such as the micro and nano bubbles, which are widely used in neuromodulation, with which the US can breach the blood-brain barrier temporarily and safely, opening a new door to neuromodulation and therapy. In terms of cancer treatment, sonodynamic therapy and US-assisted synergetic therapy show great effects against cancer and sonodynamic immunotherapy present unparalleled potentiality compared with other synergetic therapies. Further development of ultrasound technology can revolutionize both chemical synthesis and clinical translation by improving efficiency, precision, and accessibility while reducing environmental impact and enhancing patient care. In this paper, we review the US-assisted sonochemical synthesis and biological applications, to promote the next generation US technology-assisted applications.
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Affiliation(s)
- Haorong Jiao
- The Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, 199 Renai Road, Industrial Park, Suzhou 215123, Jiangsu, China
| | - Qiulian Mao
- The Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, 199 Renai Road, Industrial Park, Suzhou 215123, Jiangsu, China
| | - Noman Razzaq
- The Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, 199 Renai Road, Industrial Park, Suzhou 215123, Jiangsu, China
| | - Rinat Ankri
- The Biomolecular and Nanophotonics Lab, Ariel University, 407000, P.O.B. 3, Ariel, Israel.
| | - Jiabin Cui
- The Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, 199 Renai Road, Industrial Park, Suzhou 215123, Jiangsu, China.
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36
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Sgambato BG, Hasbani MH, Barsakcioglu DY, Ibanez J, Jakob A, Fournelle M, Tang MX, Farina D. High Performance Wearable Ultrasound as a Human-Machine Interface for Wrist and Hand Kinematic Tracking. IEEE Trans Biomed Eng 2024; 71:484-493. [PMID: 37610892 DOI: 10.1109/tbme.2023.3307952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
OBJECTIVE Non-invasive human machine interfaces (HMIs) have high potential in medical, entertainment, and industrial applications. Traditionally, surface electromyography (sEMG) has been used to track muscular activity and infer motor intention. Ultrasound (US) has received increasing attention as an alternative to sEMG-based HMIs. Here, we developed a portable US armband system with 24 channels and a multiple receiver approach, and compared it with existing sEMG- and US-based HMIs on movement intention decoding. METHODS US and motion capture data was recorded while participants performed wrist and hand movements of four degrees of freedom (DoFs) and their combinations. A linear regression model was used to offline predict hand kinematics from the US (or sEMG, for comparison) features. The method was further validated in real-time for a 3-DoF target reaching task. RESULTS In the offline analysis, the wearable US system achieved an average [Formula: see text] of 0.94 in the prediction of four DoFs of the wrist and hand while sEMG reached a performance of [Formula: see text]= 0.60. In online control, the participants achieved an average 93% completion rate of the targets. CONCLUSION When tailored for HMIs, the proposed US A-mode system and processing pipeline can successfully regress hand kinematics both in offline and online settings with performances comparable or superior to previously published interfaces. SIGNIFICANCE Wearable US technology may provide a new generation of HMIs that use muscular deformation to estimate limb movements. The wearable US system allowed for robust proportional and simultaneous control over multiple DoFs in both offline and online settings.
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37
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Pan D, Hu J, Wang B, Xia X, Cheng Y, Wang C, Lu Y. Biomimetic Wearable Sensors: Emerging Combination of Intelligence and Electronics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2303264. [PMID: 38044298 PMCID: PMC10837381 DOI: 10.1002/advs.202303264] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 10/03/2023] [Indexed: 12/05/2023]
Abstract
Owing to the advancement of interdisciplinary concepts, for example, wearable electronics, bioelectronics, and intelligent sensing, during the microelectronics industrial revolution, nowadays, extensively mature wearable sensing devices have become new favorites in the noninvasive human healthcare industry. The combination of wearable sensing devices with bionics is driving frontier developments in various fields, such as personalized medical monitoring and flexible electronics, due to the superior biocompatibilities and diverse sensing mechanisms. It is noticed that the integration of desired functions into wearable device materials can be realized by grafting biomimetic intelligence. Therefore, herein, the mechanism by which biomimetic materials satisfy and further enhance system functionality is reviewed. Next, wearable artificial sensory systems that integrate biomimetic sensing into portable sensing devices are introduced, which have received significant attention from the industry owing to their novel sensing approaches and portabilities. To address the limitations encountered by important signal and data units in biomimetic wearable sensing systems, two paths forward are identified and current challenges and opportunities are presented in this field. In summary, this review provides a further comprehensive understanding of the development of biomimetic wearable sensing devices from both breadth and depth perspectives, offering valuable guidance for future research and application expansion of these devices.
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Affiliation(s)
- Donglei Pan
- College of Light Industry and Food EngineeringGuangxi UniversityNanningGuangxi530004China
- Key Laboratory of Industrial BiocatalysisMinistry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China
| | - Jiawang Hu
- Key Laboratory of Industrial BiocatalysisMinistry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China
| | - Bin Wang
- Key Laboratory of Industrial BiocatalysisMinistry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China
| | - Xuanjie Xia
- Key Laboratory of Industrial BiocatalysisMinistry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China
| | - Yifan Cheng
- Key Laboratory of Industrial BiocatalysisMinistry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China
| | - Cheng‐Hua Wang
- College of Light Industry and Food EngineeringGuangxi UniversityNanningGuangxi530004China
| | - Yuan Lu
- Key Laboratory of Industrial BiocatalysisMinistry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China
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38
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Picano E, Pierard L, Peteiro J, Djordjevic-Dikic A, Sade LE, Cortigiani L, Van De Heyning CM, Celutkiene J, Gaibazzi N, Ciampi Q, Senior R, Neskovic AN, Henein M. The clinical use of stress echocardiography in chronic coronary syndromes and beyond coronary artery disease: a clinical consensus statement from the European Association of Cardiovascular Imaging of the ESC. Eur Heart J Cardiovasc Imaging 2024; 25:e65-e90. [PMID: 37798126 DOI: 10.1093/ehjci/jead250] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/07/2023] Open
Abstract
Since the 2009 publication of the stress echocardiography expert consensus of the European Association of Echocardiography, and after the 2016 advice of the American Society of Echocardiography-European Association of Cardiovascular Imaging for applications beyond coronary artery disease, new information has become available regarding stress echo. Until recently, the assessment of regional wall motion abnormality was the only universally practiced step of stress echo. In the state-of-the-art ABCDE protocol, regional wall motion abnormality remains the main step A, but at the same time, regional perfusion using ultrasound-contrast agents may be assessed. Diastolic function and pulmonary B-lines are assessed in step B; left ventricular contractile and preload reserve with volumetric echocardiography in step C; Doppler-based coronary flow velocity reserve in the left anterior descending coronary artery in step D; and ECG-based heart rate reserve in non-imaging step E. These five biomarkers converge, conceptually and methodologically, in the ABCDE protocol allowing comprehensive risk stratification of the vulnerable patient with chronic coronary syndromes. The present document summarizes current practice guidelines recommendations and training requirements and harmonizes the clinical guidelines of the European Society of Cardiology in many diverse cardiac conditions, from chronic coronary syndromes to valvular heart disease. The continuous refinement of imaging technology and the diffusion of ultrasound-contrast agents improve image quality, feasibility, and reader accuracy in assessing wall motion and perfusion, left ventricular volumes, and coronary flow velocity. Carotid imaging detects pre-obstructive atherosclerosis and improves risk prediction similarly to coronary atherosclerosis. The revolutionary impact of artificial intelligence on echocardiographic image acquisition and analysis makes stress echo more operator-independent and objective. Stress echo has unique features of low cost, versatility, and universal availability. It does not need ionizing radiation exposure and has near-zero carbon dioxide emissions. Stress echo is a convenient and sustainable choice for functional testing within and beyond coronary artery disease.
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Affiliation(s)
- Eugenio Picano
- Institute of Clinical Physiology of the National Research Council, CNR, Via Moruzzi 1, 56124 Pisa, Italy
| | - Luc Pierard
- University of Liège, Walloon Region, Belgium
| | - Jesus Peteiro
- CHUAC-Complexo Hospitalario Universitario A Coruna, CIBER-CV, University of A Coruna, 15070 La Coruna, Spain
| | - Ana Djordjevic-Dikic
- Cardiology Clinic, University Clinical Centre of Serbia, Medical School, University of Belgrade, 11000 Belgrade, Serbia
| | - Leyla Elif Sade
- University of Pittsburgh Medical Center UPMC Heart & Vascular Institute, Pittsburgh, PA, USA
| | | | | | - Jelena Celutkiene
- Centre of Cardiology and Angiology, Clinic of Cardiac and Vascular Diseases, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, LT-03101 Vilnius, Lithuania
| | - Nicola Gaibazzi
- Cardiology Department, Parma University Hospital, 43100 Parma, Italy
| | - Quirino Ciampi
- Cardiology Division, Fatebenefratelli Hospital, 82100 Benevento, Italy
| | - Roxy Senior
- Imperial College, UK
- Royal Brompton Hospital Imperial College London, UK
- Northwick Park Hospital, London, UK
| | - Aleksandar N Neskovic
- Department of Cardiology, University Clinical Hospital Center Zemun-Belgrade Faculty of Medicine, University of Belgrade, Serbia
| | - Michael Henein
- Department of Public Health and Clinical Medicine Units: Section of Medicine, Umea University, Umea, Sweden
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Kim YW, Park JM, Park CS, Na H, Kang YW, Lee W, Sun JY. Anisotropically Conductive Hydrogels with Directionally Aligned PEDOT:PSS in a PVA Matrix. ACS APPLIED MATERIALS & INTERFACES 2024; 16:4013-4023. [PMID: 38189267 DOI: 10.1021/acsami.3c16094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Electrical anisotropy, which is characterized by the efficient transmission of electrical signals in specific directions, is prevalent in both natural and engineered systems. However, traditional anisotropically conductive materials are often rigid and dry, thus limiting their utility in applications aiming for the seamless integration of various technologies with biological tissues. In the present study, we introduce a method for precisely controlling the microstructures of conductive and insulating polymers to create highly anisotropically conductive composite hydrogels. Our methodology involves combining aligned poly(vinyl alcohol) microfibrils, infused poly(3,4-ethylenedioxythiophene) polystyrenesulfonate, and sodium citrate precipitation to form dense, aligned conductive paths. This significantly enhances the electrical conductivity anisotropy (σ∥/σ⊥ ≈ 60.8) within these composite hydrogels.
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Affiliation(s)
- Yong-Woo Kim
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Jae-Man Park
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Chang Seo Park
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyeonuk Na
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Yong-Woo Kang
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Wooseop Lee
- Pohang Accelerator Laboratory, POSTECH, Pohang 37673, Republic of Korea
| | - Jeong-Yun Sun
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
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Fan Y, Xu L, Liu S, Li J, Xia J, Qin X, Li Y, Gao T, Tang X. The State-of-the-Art and Perspectives of Laser Ablation for Tumor Treatment. CYBORG AND BIONIC SYSTEMS 2024; 5:0062. [PMID: 38188984 PMCID: PMC10769065 DOI: 10.34133/cbsystems.0062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/21/2023] [Indexed: 01/09/2024] Open
Abstract
Tumors significantly impact individuals' physical well-being and quality of life. With the ongoing advancements in optical technology, information technology, robotic technology, etc., laser technology is being increasingly utilized in the field of tumor treatment, and laser ablation (LA) of tumors remains a prominent area of research interest. This paper presents an overview of the recent progress in tumor LA therapy, with a focus on the mechanisms and biological effects of LA, commonly used ablation lasers, image-guided LA, and robotic-assisted LA. Further insights and future prospects are discussed in relation to these aspects, and the paper proposed potential future directions for the development of tumor LA techniques.
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Affiliation(s)
- Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Liancheng Xu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Shuai Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Jinhua Li
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Jialu Xia
- School of Materials Science and Engineering, Hefei University of Technology, Hefei 230009, China
| | - Xingping Qin
- John B. Little Center for Radiation Sciences, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Yafeng Li
- China Electronics Harvest Technology Co. Ltd., China
| | - Tianxin Gao
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Xiaoying Tang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
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Wu SJ, Zhao X. Bioadhesive Technology Platforms. Chem Rev 2023; 123:14084-14118. [PMID: 37972301 DOI: 10.1021/acs.chemrev.3c00380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Bioadhesives have emerged as transformative and versatile tools in healthcare, offering the ability to attach tissues with ease and minimal damage. These materials present numerous opportunities for tissue repair and biomedical device integration, creating a broad landscape of applications that have captivated clinical and scientific interest alike. However, fully unlocking their potential requires multifaceted design strategies involving optimal adhesion, suitable biological interactions, and efficient signal communication. In this Review, we delve into these pivotal aspects of bioadhesive design, highlight the latest advances in their biomedical applications, and identify potential opportunities that lie ahead for bioadhesives as multifunctional technology platforms.
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Affiliation(s)
- Sarah J Wu
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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Zhao H, Cao Z, Sun D, Chen X, Kang S, Zheng Y, Sun D. Ultrasonic neural regulation over two-dimensional graphene analog biomaterials: Enhanced PC12 cell differentiation under diverse ultrasond excitation. ULTRASONICS SONOCHEMISTRY 2023; 101:106678. [PMID: 37984209 PMCID: PMC10696118 DOI: 10.1016/j.ultsonch.2023.106678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023]
Abstract
Two-dimensional (2D) biomaterials, with unique planar topology and quantum effect, have been widely recognized as a versatile nanoplatform for bioimaging, drug delivery and tissue engineering. However, during the complex application of nerve repair, in which inflammatory microenvironment control is imperative, the gentle manipulation and trigger of 2D biomaterials with inclusion and diversity is still challenging. Herein, inspired by the emerging clinical progress of ultrasound neuromodulation, we systematically studied ultrasound-excited 2D graphene analogues (graphene, graphene oxide, reduced graphene oxide (rGO) and carbon nitride) to explore their feasibility, accessibility, and adjustability for ultrasound-induced nerve repair in vitro. Quantitative observation of cell differentiation morphology demonstrates that PC12 cells added with rGO show the best compatibility and differentiation performance under the general ultrasound mode (0.5 w/cm2, 2 min/day) compared with graphene, graphene oxide and carbon nitride. Furthermore, the general condition can be improved by using a higher intensity of 0.7 w/cm2, but it cannot go up further. Later, ultrasonic frequency and duty cycle conditions were investigated to demonstrate the unique and remarkable inclusion and diversity of ultrasound over conventional electrical and surgical means. The pulse waveform with power of 1 MHz and duty cycle of 50 % may be even better, while the 3 MHz and 100 % duty cycle may not work. Overall, various graphene analog materials can be regarded as biosafe and accessible in both fundamental research and clinical ultrasound therapy, even for radiologists without material backgrounds. The enormous potential of diverse and personalized 2D biomaterials-based therapies can be expected to provide a new mode of ultrasound neuromodulation.
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Affiliation(s)
- Huijia Zhao
- Jinzhou Medical University Graduate Training Base (Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine), 121001 Jinzhou, PR China; Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai 200233, PR China
| | - Ziqi Cao
- Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai 200233, PR China
| | - Dandan Sun
- Department of Ultrasonography, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University, Haikou 570311, PR China
| | - Xingzhou Chen
- School of Materials and Chemistry, Institute of Bismuth, Shanghai Collaborative Innovation Center of Energy Therapy for Tumors, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Shifei Kang
- Institute of Photochemistry and Photofunctional Materials (IPPM), University of Shanghai for Science and Technology, 200093 Shanghai, PR China.
| | - Yuanyi Zheng
- Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai 200233, PR China.
| | - Di Sun
- Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai 200233, PR China.
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43
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Zeng Q, Li G, Chen W. Ultrasound-activatable and skin-associated minimally invasive microdevices for smart drug delivery and diagnosis. Adv Drug Deliv Rev 2023; 203:115133. [PMID: 37925075 DOI: 10.1016/j.addr.2023.115133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/29/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
Ultrasound-activatable and skin-associated minimally invasive microdevices (USMIMs) have garnered significant attention in the domains of smart drug delivery and biomedical diagnosis for on-demand healthcare, owing to their outstanding wearability, flexibility, and comfort. In this review, we present a comprehensive overview of the noteworthy advancements in USMIMs, with a specific focus on device design, potential applications, challenges, and future prospects. The classification of such microdevices primarily encompasses biointerfacing microsystems, including skin-perforable US-assisted microneedles (MNs), skin-attachable sonophoresis and their combination with microbubbles, as well as non-biointerfacing microsystems for drug delivery. Additionally, US-mediated and skin-attached microtransducers utilized in biomedical diagnosis are classified into imaging-related microtransducers, diagramming detection devices, and their combinative systems with applications on diverse signal detection. Besides, the review also highlights the challenges associated with USMIMs, focusing on aspects such as safety, environmental tolerance, wearability/comfortability, and personalization. Furthermore, it offers insights into future perspectives that address these challenges and discuss potential advancements in the field. It is firmly believed that the proposed USMIMs possess immense potential to significantly improve human lives in the near future.
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Affiliation(s)
- Qi Zeng
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Guanyue Li
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Wei Chen
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation, Huazhong University of Science and Technology, Wuhan 430022, China.
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44
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Chen F, Zhuang Q, Ding Y, Zhang C, Song X, Chen Z, Zhang Y, Mei Q, Zhao X, Huang Q, Zheng Z. Wet-Adaptive Electronic Skin. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2305630. [PMID: 37566544 DOI: 10.1002/adma.202305630] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/07/2023] [Indexed: 08/13/2023]
Abstract
Skin electronics provides remarkable opportunities for non-invasive and long-term monitoring of a wide variety of biophysical and physiological signals that are closely related to health, medicine, and human-machine interactions. Nevertheless, conventional skin electronics fabricated on elastic thin films are difficult to adapt to the wet microenvironments of the skin: Elastic thin films are non-permeable, which block the skin perspiration; Elastic thin films are difficult to adhere to wet skin; Most skin electronics are difficult to work underwater. Here, a Wet-Adaptive Electronic Skin (WADE-skin) is reported, which consists of a next-to-skin wet-adhesive fibrous layer, a next-to-air waterproof fibrous layer, and a stretchable and permeable liquid metal electrode layer. While the electronic functionality is determined by the electrode design, this WADE-skin simultaneously offers superb stretchability, wet adhesion, permeability, biocompatibility, and waterproof property. The WADE-skin can rapidly adhere to human skin after contact for a few seconds and stably maintain the adhesion over weeks even under wet conditions, without showing any negative effect to the skin health. The use of WADE-skin is demonstrated for the stable recording of electrocardiogram during intensive sweating as well as underwater activities, and as the strain sensor for the underwater operation of virtual reality-mediated human-machine interactions.
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Affiliation(s)
- Fan Chen
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Qiuna Zhuang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Yichun Ding
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Chi Zhang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Xian Song
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Zijian Chen
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Yaokang Zhang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Quanjin Mei
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Xin Zhao
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Zijian Zheng
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
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Xu C, Solomon SA, Gao W. Artificial Intelligence-Powered Electronic Skin. NAT MACH INTELL 2023; 5:1344-1355. [PMID: 38370145 PMCID: PMC10868719 DOI: 10.1038/s42256-023-00760-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/18/2023] [Indexed: 02/20/2024]
Abstract
Skin-interfaced electronics is gradually changing medical practices by enabling continuous and noninvasive tracking of physiological and biochemical information. With the rise of big data and digital medicine, next-generation electronic skin (e-skin) will be able to use artificial intelligence (AI) to optimize its design as well as uncover user-personalized health profiles. Recent multimodal e-skin platforms have already employed machine learning (ML) algorithms for autonomous data analytics. Unfortunately, there is a lack of appropriate AI protocols and guidelines for e-skin devices, resulting in overly complex models and non-reproducible conclusions for simple applications. This review aims to present AI technologies in e-skin hardware and assess their potential for new inspired integrated platform solutions. We outline recent breakthroughs in AI strategies and their applications in engineering e-skins as well as understanding health information collected by e-skins, highlighting the transformative deployment of AI in robotics, prosthetics, virtual reality, and personalized healthcare. We also discuss the challenges and prospects of AI-powered e-skins as well as predictions for the future trajectory of smart e-skins.
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Affiliation(s)
- Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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Ma J, Majmudar A, Tian B. Bridging the Gap-Thermofluidic Designs for Precision Bioelectronics. Adv Healthc Mater 2023:e2302431. [PMID: 37975642 DOI: 10.1002/adhm.202302431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/22/2023] [Indexed: 11/19/2023]
Abstract
Bioelectronics, the merging of biology and electronics, can monitor and modulate biological behaviors across length and time scales with unprecedented capability. Current bioelectronics research largely focuses on devices' mechanical properties and electronic designs. However, the thermofluidic control is often overlooked, which is noteworthy given the discipline's importance in almost all bioelectronics processes. It is believed that integrating thermofluidic designs into bioelectronics is essential to align device precision with the complexity of biofluids and biological structures. This perspective serves as a mini roadmap for researchers in both fields to introduce key principles, applications, and challenges in both bioelectronics and thermofluids domains. Important interdisciplinary opportunities for the development of future healthcare devices and precise bioelectronics will also be discussed.
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Affiliation(s)
- Jingcheng Ma
- The James Franck Institute, University of Chicago, Chicago, IL, 60637, USA
| | - Aman Majmudar
- The College, University of Chicago, Chicago, IL, 60637, USA
| | - Bozhi Tian
- The James Franck Institute, University of Chicago, Chicago, IL, 60637, USA
- Department of Chemistry, University of Chicago, Chicago, IL, 60637, USA
- The Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, 60637, USA
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47
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Jin Z, Lakshmanan A, Zhang R, Tran TA, Rabut C, Dutka P, Duan M, Hurt RC, Malounda D, Yao Y, Shapiro MG. Ultrasonic reporters of calcium for deep tissue imaging of cellular signals. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.09.566364. [PMID: 37986929 PMCID: PMC10659314 DOI: 10.1101/2023.11.09.566364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Calcium imaging has enabled major biological discoveries. However, the scattering of light by tissue limits the use of standard fluorescent calcium indicators in living animals. To address this limitation, we introduce the first genetically encoded ultrasonic reporter of calcium (URoC). Based on a unique class of air-filled protein nanostructures called gas vesicles, we engineered URoC to produce elevated nonlinear ultrasound signal upon binding to calcium ions. With URoC expressed in mammalian cells, we demonstrate noninvasive ultrasound imaging of calcium signaling in vivo during drug-induced receptor activation. URoC brings the depth and resolution advantages of ultrasound to the in vivo imaging of dynamic cellular function and paves the way for acoustic biosensing of a broader variety of biological signals.
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48
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Kai Y, Dhulipala S, Sun R, Lem J, DeLima W, Pezeril T, Portela CM. Dynamic diagnosis of metamaterials through laser-induced vibrational signatures. Nature 2023; 623:514-521. [PMID: 37968526 DOI: 10.1038/s41586-023-06652-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 09/18/2023] [Indexed: 11/17/2023]
Abstract
Mechanical metamaterials at the microscale exhibit exotic static properties owing to their engineered building blocks1-4, but their dynamic properties have remained substantially less explored. Their design principles can target frequency-dependent properties5-7 and resilience under high-strain-rate deformation8,9, making them versatile materials for applications in lightweight impact resistance10-12, acoustic waveguiding7,13 or vibration damping14,15. However, accessing dynamic properties at small scales has remained a challenge owing to low-throughput and destructive characterization8,16,17 or lack of existing testing protocols. Here we demonstrate a high-throughput, non-contact framework that uses MHz-wave-propagation signatures within a metamaterial to non-destructively extract dynamic linear properties, omnidirectional elastic information, damping properties and defect quantification. Using rod-like tessellations of microscopic metamaterials, we report up to 94% direction-dependent and rate-dependent dynamic stiffening at strain rates approaching 102 s-1, as well as damping properties three times higher than their constituent materials. We also show that frequency shifts in the vibrational response allow for characterization of invisible defects within the metamaterials and that selective probing allows for the construction of experimental elastic surfaces, which were previously only possible computationally. Our work provides a route for accelerated data-driven discovery of materials and microdevices for dynamic applications such as protective structures, medical ultrasound or vibration isolation.
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Affiliation(s)
- Yun Kai
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Soldier Nanotechnologies, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Somayajulu Dhulipala
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Rachel Sun
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jet Lem
- Institute for Soldier Nanotechnologies, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Washington DeLima
- Kansas City National Security Campus, Department of Energy, Kansas City, MO, USA
| | - Thomas Pezeril
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Institut de Physique de Rennes, UMR CNRS 6251, Université de Rennes, Rennes, France.
| | - Carlos M Portela
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Institute for Soldier Nanotechnologies, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Hu H, Zhang C, Ding Y, Chen F, Huang Q, Zheng Z. A Review of Structure Engineering of Strain-Tolerant Architectures for Stretchable Electronics. SMALL METHODS 2023; 7:e2300671. [PMID: 37661591 DOI: 10.1002/smtd.202300671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/01/2023] [Indexed: 09/05/2023]
Abstract
Stretchable electronics possess significant advantages over their conventional rigid counterparts and boost game-changing applications such as bioelectronics, flexible displays, wearable health monitors, etc. It is, nevertheless, a formidable task to impart stretchability to brittle electronic materials such as silicon. This review provides a concise but critical discussion of the prevailing structural engineering strategies for achieving strain-tolerant electronic devices. Not only the more commonly discussed lateral designs of structures such as island-bridge, wavy structures, fractals, and kirigami, but also the less discussed vertical architectures such as strain isolation and elastoplastic principle are reviewed. Future opportunities are envisaged at the end of the paper.
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Affiliation(s)
- Hong Hu
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Chi Zhang
- Department of Applied Biology and Chemical Technology, Faculty of Science, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Yichun Ding
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Fan Chen
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Qiyao Huang
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
| | - Zijian Zheng
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Department of Applied Biology and Chemical Technology, Faculty of Science, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
- Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China
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50
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Yang L, Wang Y, Zhang W, Liu X. One-Pot Preparation of Skin-Inspired Multifunctional Hybrid Hydrogel with Robust Wound Healing Capacity. ACS Biomater Sci Eng 2023; 9:5855-5870. [PMID: 37748138 DOI: 10.1021/acsbiomaterials.3c00590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Bioinspired hydrogels have demonstrated multiple superiorities over traditional wound dressings for wound healing applications. However, the fabrication of bioinspired hydrogel-based wound dressings with desired functionalities always requires multiple successive steps, time-consuming processes, and/or sophisticated protocols, plaguing their clinical applications. Here, a facile one-pot strategy is developed to prepare a skin-inspired multifunctional hydrogel within 30 min by incorporating elastin (an essential functional component of the dermal extracellular matrix), tannic acid, and chitosan into the covalently cross-linked poly(acrylamide) network through noncovalent interactions. The resulting hydrogel exhibits a Young's modulus (ca. 36 kPa) comparable to that of human skin, a high elongation-at-break (ca. 1550%), a satisfactory tensile strength (ca. 61 kPa), and excellent elastic self-restorability, enabling the hydrogel to synchronously and conformally deform with human skin when used as wound dressings. Importantly, the hydrogel displays a self-adhesive property to skin tissues with an appropriate bonding strength (ca. 55 kPa measured on intact porcine skin), endowing the hydrogel with the ability to rapidly self-adhere to intact human skin, sealing the wound surface and also easily being removed without residue left or trauma caused to the skin. The hydrogel also possesses remarkable antibacterial activity, antioxidant capability, and hemocompatibility. All of these collective beneficial properties enable the hydrogel to significantly accelerate the wound healing process, outperforming the commercial wound dressings.
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Affiliation(s)
- Liangliang Yang
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P.R. China
| | - Yue Wang
- Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China
| | - Wei Zhang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P.R. China
- Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, P.R. China
| | - Xiaokong Liu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P.R. China
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