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Kim M, Jeon EJ, Chung WG, Kim H, Kim E, Lee S, Lee JH, Cho SW, Park JU. 3D Soft Liquid Metal Electrodes for High-Resolution and Long-Term Electromyography in Muscle Trauma Assessment. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2025; 37:e2419250. [PMID: 40066481 DOI: 10.1002/adma.202419250] [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: 12/08/2024] [Revised: 02/14/2025] [Indexed: 04/24/2025]
Abstract
Electromyography (EMG) is a widely used diagnostic technique for evaluating the electrical activity of muscles and their controlling nerves. However, conventional surface electrodes with planar structures often suffer from low spatial resolution and suboptimal signal quality. Here, 3D-shaped, substrate-free, soft, and biocompatible liquid metal electrodes (LMe) are presented as a wearable interface for neuromuscular signal recording. These electrodes enable the acquisition of high-quality EMG signals while their intrinsic mechanical softness supports long-term use in clinical settings. In a human pilot study, continuous, high-spatial-resolution EMG monitoring of musculoskeletal activity over 25 days is achieved. Furthermore, in vivo EMG monitoring in mouse models of ischemia and volumetric muscle loss demonstrated the therapeutic effects of extracellular muscle-rehabilitative drugs. This work highlights the potential of LMe for advanced drug screening and long-term clinical diagnostics.
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Affiliation(s)
- Moohyun Kim
- Department of Materials Science & Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
| | - Eun Je Jeon
- Department of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Won Gi Chung
- Department of Materials Science & Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
| | - Heehun Kim
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, Republic of Korea
| | - Enji Kim
- Department of Materials Science & Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
| | - Sanghoon Lee
- Department of Materials Science & Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
| | - Jae-Hyun Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, Republic of Korea
| | - Seung-Woo Cho
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
- Department of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jang-Ung Park
- Department of Materials Science & Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, Republic of Korea
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
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Xia H, Zhang Y, Rajabi N, Taleb F, Yang Q, Kragic D, Li Z. Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement. Nat Commun 2024; 15:1760. [PMID: 38409128 PMCID: PMC10897332 DOI: 10.1038/s41467-024-46249-0] [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: 10/12/2023] [Accepted: 02/19/2024] [Indexed: 02/28/2024] Open
Abstract
Most wearable robots such as exoskeletons and prostheses can operate with dexterity, while wearers do not perceive them as part of their bodies. In this perspective, we contend that integrating environmental, physiological, and physical information through multi-modal fusion, incorporating human-in-the-loop control, utilizing neuromuscular interface, employing flexible electronics, and acquiring and processing human-robot information with biomechatronic chips, should all be leveraged towards building the next generation of wearable robots. These technologies could improve the embodiment of wearable robots. With optimizations in mechanical structure and clinical training, the next generation of wearable robots should better facilitate human motor and sensory reconstruction and enhancement.
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Affiliation(s)
- Haisheng Xia
- School of Mechanical Engineering, Tongji University, Shanghai, 201804, China
- Translational Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, 201619, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230026, China
| | - Yuchong Zhang
- Robotics, Perception and Learning Lab, EECS at KTH Royal Institute of Technology Stockholm, 114 17, Stockholm, Sweden
| | - Nona Rajabi
- Robotics, Perception and Learning Lab, EECS at KTH Royal Institute of Technology Stockholm, 114 17, Stockholm, Sweden
| | - Farzaneh Taleb
- Robotics, Perception and Learning Lab, EECS at KTH Royal Institute of Technology Stockholm, 114 17, Stockholm, Sweden
| | - Qunting Yang
- Department of Automation, University of Science and Technology of China, Hefei, 230026, China
| | - Danica Kragic
- Robotics, Perception and Learning Lab, EECS at KTH Royal Institute of Technology Stockholm, 114 17, Stockholm, Sweden
| | - Zhijun Li
- School of Mechanical Engineering, Tongji University, Shanghai, 201804, China.
- Translational Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, 201619, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230026, China.
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3
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Zhou W, Wang Z, Xu Q, Liu X, Li J, Yu H, Qiao H, Yang L, Chen L, Zhang Y, Huang Z, Pang Y, Zhang Z, Zhang J, Guan X, Ma S, Ren Y, Shi X, Yuan L, Li D, Huang D, Li Z, Jia W. Wireless facial biosensing system for monitoring facial palsy with flexible microneedle electrode arrays. NPJ Digit Med 2024; 7:13. [PMID: 38225423 PMCID: PMC10789865 DOI: 10.1038/s41746-024-01002-1] [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: 07/17/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024] Open
Abstract
Facial palsy (FP) profoundly influences interpersonal communication and emotional expression, necessitating precise diagnostic and monitoring tools for optimal care. However, current electromyography (EMG) systems are limited by their bulky nature, complex setups, and dependence on skilled technicians. Here we report an innovative biosensing approach that utilizes a PEDOT:PSS-modified flexible microneedle electrode array (P-FMNEA) to overcome the limitations of existing EMG devices. Supple system-level mechanics ensure excellent conformality to the facial curvilinear regions, enabling the detection of targeted muscular ensemble movements for facial paralysis assessment. Moreover, our apparatus adeptly captures each electrical impulse in response to real-time direct nerve stimulation during neurosurgical procedures. The wireless conveyance of EMG signals to medical facilities via a server augments access to patient follow-up evaluation data, fostering prompt treatment suggestions and enabling the access of multiple facial EMG datasets during typical 6-month follow-ups. Furthermore, the device's soft mechanics alleviate issues of spatial intricacy, diminish pain, and minimize soft tissue hematomas associated with traditional needle electrode positioning. This groundbreaking biosensing strategy has the potential to transform FP management by providing an efficient, user-friendly, and less invasive alternative to the prevailing EMG devices. This pioneering technology enables more informed decision-making in FP-management and therapeutic intervention.
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Affiliation(s)
- Wenjianlong Zhou
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Zhongyan Wang
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Qin Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Xiangxiang Liu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, 100730, Beijing, China
| | - Junshi Li
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Huaiqiang Yu
- Sichuan Institute of Piezoelectric and Acousto-optic Technology, 400060, Chongqing, China
| | - Hui Qiao
- Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, 100070, Beijing, China
| | - Lirui Yang
- Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, 100070, Beijing, China
| | - Liangpeng Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Yuan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Zhe Huang
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Yuxing Pang
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Zhitong Zhang
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Jiayan Zhang
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Xiudong Guan
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Shunchang Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Yingjie Ren
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Xiaoyi Shi
- School of Integrated Circuits, Peking University, 100871, Beijing, China
| | - Linhao Yuan
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
| | - Deling Li
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), 100070, Beijing, China
- Beijing Neurosurgical Institute, Capital Medical University, 100070, Beijing, China
| | - Dong Huang
- School of Integrated Circuits, Peking University, 100871, Beijing, China.
| | - Zhihong Li
- School of Integrated Circuits, Peking University, 100871, Beijing, China.
- Beijing Advanced Innovation Center for Integrated Circuits, 100871, Beijing, China.
| | - Wang Jia
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, 100070, Beijing, China.
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), 100070, Beijing, China.
- Beijing Neurosurgical Institute, Capital Medical University, 100070, Beijing, China.
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Zhou W, Jiang Y, Xu Q, Chen L, Qiao H, Wang YX, Lai JC, Zhong D, Zhang Y, Li W, Du Y, Wang X, Lei J, Dong G, Guan X, Ma S, Kang P, Yuan L, Zhang M, Tok JBH, Li D, Bao Z, Jia W. Soft and stretchable organic bioelectronics for continuous intraoperative neurophysiological monitoring during microsurgery. Nat Biomed Eng 2023; 7:1270-1281. [PMID: 37537304 DOI: 10.1038/s41551-023-01069-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 06/23/2023] [Indexed: 08/05/2023]
Abstract
In microneurosurgery, it is crucial to maintain the structural and functional integrity of the nerve through continuous intraoperative identification of neural anatomy. To this end, here we report the development of a translatable system leveraging soft and stretchable organic-electronic materials for continuous intraoperative neurophysiological monitoring. The system uses conducting polymer electrodes with low impedance and low modulus to record near-field action potentials continuously during microsurgeries, offers higher signal-to-noise ratios and reduced invasiveness when compared with handheld clinical probes for intraoperative neurophysiological monitoring and can be multiplexed, allowing for the precise localization of the target nerve in the absence of anatomical landmarks. Compared with commercial metal electrodes, the neurophysiological monitoring system allowed for enhanced post-operative prognoses after tumour-resection surgeries in rats. Continuous recording of near-field action potentials during microsurgeries may allow for the precise identification of neural anatomy through the entire procedure.
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Affiliation(s)
- Wenjianlong Zhou
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Yuanwen Jiang
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Qin Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Liangpeng Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Hui Qiao
- Department of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yi-Xuan Wang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China
| | - Jian-Cheng Lai
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Donglai Zhong
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Yuan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Weining Li
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Yanru Du
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuecheng Wang
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Jiaxin Lei
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Gehong Dong
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiudong Guan
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Shunchang Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
- Department of Neurotomy, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Peng Kang
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Linhao Yuan
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Milin Zhang
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Jeffrey B-H Tok
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Deling Li
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA.
| | - Wang Jia
- Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China.
- Department of Neurotomy, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.
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5
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Cummings P, Petitclerc A, Moskowitz J, Tandon D, Zhang Y, MacNeill LA, Alshurafa N, Krogh-Jespersen S, Hamil JL, Nili A, Berken J, Grobman W, Rangarajan A, Wakschlag L. Feasibility of Passive ECG Bio-sensing and EMA Emotion Reporting Technologies and Acceptability of Just-in-Time Content in a Well-being Intervention, Considerations for Scalability and Improved Uptake. AFFECTIVE SCIENCE 2022; 3:849-861. [PMID: 36277315 PMCID: PMC9579642 DOI: 10.1007/s42761-022-00147-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 08/13/2022] [Indexed: 11/24/2022]
Abstract
Researchers increasingly use passive sensing data and frequent self-report to implement personalized mobile health (mHealth) interventions. Yet, we know that certain populations may find these technical protocols burdensome and intervention uptake as well as treatment efficacy may be affected as a result. In the present study, we predicted feasibility (participant adherence to protocol) and acceptability (participant engagement with intervention content) as a function of baseline sociodemographic, mental health, and well-being characteristics of 99 women randomized in the personalized preventive intervention Wellness-for-Two (W-4-2), a randomized trial evaluating stress-related alterations during pregnancy and their effect on infant neurodevelopmental trajectories. The W-4-2 study used ecological momentary assessment (EMA) and wearable electrocardiograph (ECG) sensors to detect physiological stress and personalize the intervention. Participant adherence to protocols was 67% for EMAs and 52% for ECG bio-sensors. Higher baseline negative affect significantly predicted lower adherence to both protocols. Women assigned to the intervention group engaged on average with 42% of content they received. Women with higher annual household income were more likely to engage with more of the intervention content. Researchers should carefully consider tailoring of the intensity of technical intervention protocols to reduce fatigue, especially among participants with higher baseline negative affect, which may improve intervention uptake and efficacy findings at scale.
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Affiliation(s)
- P. Cummings
- Department of Psychiatry and Behavioral Sciences, Northwestern Feinberg School of Medicine, Chicago, IL USA
| | - A. Petitclerc
- Laval University School of Psychology, 2325 Rue des Bibliothèques, QC, Québec G1V 0A6 Canada
| | - J. Moskowitz
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Chicago, IL USA
| | - D. Tandon
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Chicago, IL USA
| | - Y. Zhang
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Institute for Innovations in Developmental Sciences, Chicago, IL USA
| | - L. A. MacNeill
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Institute for Innovations in Developmental Sciences, Chicago, IL USA
| | - N. Alshurafa
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Chicago, IL USA
| | - S. Krogh-Jespersen
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Institute for Innovations in Developmental Sciences, Chicago, IL USA
| | - J. L. Hamil
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Chicago, IL USA
| | - A. Nili
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Institute for Innovations in Developmental Sciences, Chicago, IL USA
| | - J. Berken
- Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL USA
| | - W. Grobman
- Department of Obstetrics & Gynecology, Northwestern Feinberg School of Medicine, Chicago, IL USA
| | - A. Rangarajan
- Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL USA
| | - L. Wakschlag
- Department of Medical Social Sciences, Northwestern Feinberg School of Medicine, Institute for Innovations in Developmental Sciences, Chicago, IL USA
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Zhao D, Zhao J, Liu L, Guo W, Zhu K, Yang G, Li Z, Wu H. Flexible hybrid integration enabled on-skin electronics for wireless monitoring of electrophysiology and motion. IEEE Trans Biomed Eng 2021; 69:1340-1348. [PMID: 34596530 DOI: 10.1109/tbme.2021.3115464] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
On-skin electronics are promising in human motion and vital sign monitoring, disease diagnosis and treatment. On-skin systems are soft and stretchable, and can maintain electrical performances during bending, stretching or twisting, etc. However, current integrated circuit based fabrication processes are not compatible with stretchable substrate, and recently proposed flexible hybrid integration methods typically involve complicated fabrication processes or structural design, and do not support high integration density. Herein, we report a series of flexible hybrid integration strategies which endow the on-skin electronics with advantages of high integration density of electric components, facile fabrications, high stretchability and reliability. Proposed strategies include: 1. High I/O density with highly stretchable and conductive composite materials as interconnects; 2. Multi-layer structures enabled by stretchable and conductive via-holes; 3. High reliability approach for chip attachment onto stretchable substrate; 4. Design and fabrication of strain separation structure. Based on these methods, an on-skin flexible hybrid electronic system (FHES) is fabricated to collect electrocardiogram (ECG) and acceleration data, wirelessly transmit and display the data in real time on a mobile phone application through Bluetooth communication. We also verify the accuracy and stability of the FHES through the measurements of ECG and acceleration data from human skin under various conditions. The flexible hybrid integration schemes proposed can be adopted for the development of a variety of on-skin systems for biomedical applications.
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Papazian C, Baicoianu NA, Peters KM, Feldner HA, Steele KM. Electromyography Recordings Detect Muscle Activity Before Observable Contractions in Acute Stroke Care. Arch Rehabil Res Clin Transl 2021; 3:100136. [PMID: 34589686 PMCID: PMC8463445 DOI: 10.1016/j.arrct.2021.100136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/30/2022] Open
Abstract
OBJECTIVE To evaluate muscle activity in the arms of adult stroke survivors with limited or no arm movement during acute care. DESIGN Prospective observational study. SETTING Acute care regional stroke center. PARTICIPANTS We recruited adults (N=21) who had a stroke within the previous 5 days who were admitted to a level 1 trauma hospital and had a National Institutes of Health Stroke Scale score >1 for arm function at the time of recruitment. A total of 21 adults (13 men, 8 women) with an average age of 60±15 years were recruited an average of 3±1 days after their stroke. Eleven (7 men, 4 women; age, 56±11y) had no observable or palpable arm muscle activity (Manual Muscle Test [MMT]=0) and 10 (6 men, 4 women; age, 64±1y) had detectable activity (MMT>0). INTERVENTIONS Dual mode sensors (electromyography and accelerometry) were placed on the anterior deltoid, biceps, triceps, wrist extensors, and wrist flexors of the impaired arm. MAIN OUTCOME MEASURES The number of muscle contractions, as well as average duration, amplitude, and co-contraction patterns were evaluated for each participant. RESULTS Muscle contractions were observed in all 5 muscles for all participants using electromyography (EMG) recordings. Contractions were easily identified from 30 minutes of monitoring for participants with an MMT >0, but up to 3 hours of monitoring was required for participants with an MMT=0 to detect contractions in all 5 muscles during standard care. Only the wrist extensors demonstrated significantly larger amplitude contractions for participants with an MMT>0 than those with an MMT=0. Co-contraction was rare, involving less than 10% of contractions. Co-contraction of 2 muscles most commonly aligned with the flexor synergy pattern commonly observed after stroke. For participants with an MMT=0, the number of contractions and maximum amplitude were moderately correlated with MMT scores at follow-up. CONCLUSIONS Muscle activity was detected with surface EMG recordings during standard acute care, even for individuals with no observable activity by clinical examination. Wearable sensors may be useful for monitoring early muscle activity and movement after stroke.
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Affiliation(s)
- Christina Papazian
- Department of Mechanical Engineering, University of Washington, Seattle, WA
| | - Nick A. Baicoianu
- Department of Mechanical Engineering, University of Washington, Seattle, WA
| | - Keshia M. Peters
- Department of Mechanical Engineering, University of Washington, Seattle, WA
| | - Heather A. Feldner
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA
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Vallem V, Sargolzaeiaval Y, Ozturk M, Lai YC, Dickey MD. Energy Harvesting and Storage with Soft and Stretchable Materials. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2004832. [PMID: 33502808 DOI: 10.1002/adma.202004832] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/04/2020] [Indexed: 06/12/2023]
Abstract
This review highlights various modes of converting ambient sources of energy into electricity using soft and stretchable materials. These mechanical properties are useful for emerging classes of stretchable electronics, e-skins, bio-integrated wearables, and soft robotics. The ability to harness energy from the environment allows these types of devices to be tetherless, thereby leading to a greater range of motion (in the case of robotics), better compliance (in the case of wearables and e-skins), and increased application space (in the case of electronics). A variety of energy sources are available including mechanical (vibrations, human motion, wind/fluid motion), electromagnetic (radio frequency (RF), solar), and thermodynamic (chemical or thermal energy). This review briefly summarizes harvesting mechanisms and focuses on the materials' strategies to render such devices into soft or stretchable embodiments.
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Affiliation(s)
- Veenasri Vallem
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Yasaman Sargolzaeiaval
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Mehmet Ozturk
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Ying-Chih Lai
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 402, Taiwan
- Innovation and Development Center of Sustainable Agriculture, Research Center for Sustainable Energy and Nanotechnology, National Chung Hsing University, Taichung, 402, Taiwan
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA
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Stuart T, Cai L, Burton A, Gutruf P. Wireless and battery-free platforms for collection of biosignals. Biosens Bioelectron 2021; 178:113007. [PMID: 33556807 PMCID: PMC8112193 DOI: 10.1016/j.bios.2021.113007] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/02/2021] [Accepted: 01/14/2021] [Indexed: 02/06/2023]
Abstract
Recent progress in biosensors have quantitively expanded current capabilities in exploratory research tools, diagnostics and therapeutics. This rapid pace in sensor development has been accentuated by vast improvements in data analysis methods in the form of machine learning and artificial intelligence that, together, promise fantastic opportunities in chronic sensing of biosignals to enable preventative screening, automated diagnosis, and tools for personalized treatment strategies. At the same time, the importance of widely accessible personal monitoring has become evident by recent events such as the COVID-19 pandemic. Progress in fully integrated and chronic sensing solutions is therefore increasingly important. Chronic operation, however, is not truly possible with tethered approaches or bulky, battery-powered systems that require frequent user interaction. A solution for this integration challenge is offered by wireless and battery-free platforms that enable continuous collection of biosignals. This review summarizes current approaches to realize such device architectures and discusses their building blocks. Specifically, power supplies, wireless communication methods and compatible sensing modalities in the context of most prevalent implementations in target organ systems. Additionally, we highlight examples of current embodiments that quantitively expand sensing capabilities because of their use of wireless and battery-free architectures.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Le Cai
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA; Department of Electrical Engineering, University of Arizona, Tucson, AZ, 85721, USA; Bio5 Institute, University of Arizona, Tucson, AZ, 85721, USA; Neuroscience GIDP, University of Arizona, Tucson, AZ, 85721, USA.
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10
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Nguyen T, Khine M. Advances in Materials for Soft Stretchable Conductors and Their Behavior under Mechanical Deformation. Polymers (Basel) 2020; 12:E1454. [PMID: 32610500 PMCID: PMC7408380 DOI: 10.3390/polym12071454] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/26/2020] [Accepted: 06/19/2020] [Indexed: 12/28/2022] Open
Abstract
Soft stretchable sensors rely on polymers that not only withstand large deformations while retaining functionality but also allow for ease of application to couple with the body to capture subtle physiological signals. They have been applied towards motion detection and healthcare monitoring and can be integrated into multifunctional sensing platforms for enhanced human machine interface. Most advances in sensor development, however, have been aimed towards active materials where nearly all approaches rely on a silicone-based substrate for mechanical stability and stretchability. While silicone use has been advantageous in academic settings, conventional silicones cannot offer self-healing capability and can suffer from manufacturing limitations. This review aims to cover recent advances made in polymer materials for soft stretchable conductors. New developments in substrate materials that are compliant and stretchable but also contain self-healing properties and self-adhesive capabilities are desirable for the mechanical improvement of stretchable electronics. We focus on materials for stretchable conductors and explore how mechanical deformation impacts their performance, summarizing active and substrate materials, sensor performance criteria, and applications.
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Affiliation(s)
- Thao Nguyen
- Department of Chemical and Biomolecular Engineering, University of California, Irvine, CA 92697, USA;
| | - Michelle Khine
- Department of Chemical and Biomolecular Engineering, University of California, Irvine, CA 92697, USA;
- Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA
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11
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Craig-Schapiro R, Krepostman N, Ravi M, Mazumder N, Daud A, Ladner DP. Neuropraxia: An Underappreciated Morbidity of Liver Transplantation. J Surg Res 2020; 255:188-194. [PMID: 32563759 DOI: 10.1016/j.jss.2020.05.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 05/08/2020] [Accepted: 05/10/2020] [Indexed: 01/21/2023]
Abstract
BACKGROUND Peripheral nerve injuries can be devastating complications of surgery, potentially resulting in severe functional disability and decreased quality of life. Long surgeries with considerable tissue manipulation, for example, liver transplantation, may present increased risk; however, neuropraxia in transplantation has not been well investigated. MATERIALS AND METHODS This is a retrospective study of all adult patients undergoing liver transplantation at a large academic center between January 2013 and December 2015. Descriptive analyses, logistic regressions, and forward selection procedures were used to determine the odds of developing neuropraxia and associated factors. RESULTS Of the 283 liver recipients, the mean age was 55.8 y, 35.1% were female, 65.6% were Caucasian, 8.9% were African American, 16.7% were Hispanic, and mean model for end-stage liver disease sodium score at transplant was 24.2 ± 10.9. The underlying etiology was alcohol (26.2%), hepatitis C (34.8%), nonalcoholic steatohepatitis (13.1%), and other (14.2%). The incidence of neuropraxia after liver transplantation was 8.3% (n = 25), with 60% (n = 16) upper extremities, 82% left sided, and 84% male. There was no difference in age, race, body mass index, hypertension, diabetes, hyperlipidemia, or smoking in those with neuropraxia versus those without. In multivariate analysis, neuropraxia was significantly associated with male gender, lower model for end-stage liver disease score, and longer duration of surgery (P < 0.05). Symptoms lasted median 5 d, with a wide range up to 187 d. Neuropraxia-specific treatment (physical therapy or medications) was required in 32% (n = 9). CONCLUSIONS Peripheral nerve injuries are an unexplored complication of liver transplantation. Although transient, a high number (8.2%) of patients developed neuropraxia, negatively affecting their ability for recovery. Exploration of mechanisms for minimizing risk and intraoperative detection and prevention should be considered to mitigate this complication.
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Affiliation(s)
- Rebecca Craig-Schapiro
- Division of Transplantation, Department of Surgery, Weill Cornell Medical Center, New York, New York
| | - Nicolas Krepostman
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Mohan Ravi
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Nikhilesh Mazumder
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Amna Daud
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Daniela P Ladner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Division of Transplantation, Department of Surgery, Northwestern Medicine, Chicago, Illinois.
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12
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Pitou S, Michael B, Thompson K, Howard M. Hand-Made Embroidered Electromyography: Towards a Solution for Low-Income Countries. SENSORS 2020; 20:s20123347. [PMID: 32545636 PMCID: PMC7349794 DOI: 10.3390/s20123347] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/26/2020] [Accepted: 06/02/2020] [Indexed: 02/05/2023]
Abstract
Surface electromyography is used for non-invasive evaluations of the neuromuscular system and conventionally involves electrodes placed on the skin to collect electrical signals associated with muscle activity. Recently, embroidered electrodes have been presented as a low-cost alternative to the current commercial solutions. However, the high cost of equipment used in their fabrication forms a barrier to deployment. To address this, this paper presents the first study into the hand-sewing of electrodes for surface electromyography to assess its feasibility as an affordable, alternative means of production. In experiments reported here, batches of hand-sewn electrodes from six novice embroiderers are tested for (i) manufacturing consistency, and (ii) myographic data acquisition against conventional gelled and machine-sewn electrodes. First, the electrical properties of the created electrodes are assessed through simple resistance measurements. Then, linear regression is performed using electromyography data to test if force-variation detection is feasible. The results demonstrate that hand-sewn electrodes provide similar sensitivity to force variation as their machine-sewn counterparts according to the linear regression gradients calculated (8.84 using the hand-sewn electrodes and 9.38 using the machine-sewn electrodes, on the flexor muscles of the forearm). This suggests that hand-made, low-cost textile interfaces could be deployed using local production in developing economies.
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Affiliation(s)
- Samuel Pitou
- Centre for Robotics Research, Department of Engineering, King’s College London, London WC2R 2LS, UK; (B.M.); (M.H.)
- Correspondence:
| | - Brendan Michael
- Centre for Robotics Research, Department of Engineering, King’s College London, London WC2R 2LS, UK; (B.M.); (M.H.)
| | | | - Matthew Howard
- Centre for Robotics Research, Department of Engineering, King’s College London, London WC2R 2LS, UK; (B.M.); (M.H.)
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13
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Wang S, Li Q, Feng S, Lv Y, Zhang T. A water-retaining, self-healing hydrogel as ionic skin with a highly pressure sensitive properties. J Taiwan Inst Chem Eng 2019. [DOI: 10.1016/j.jtice.2019.09.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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14
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Ray TR, Choi J, Bandodkar AJ, Krishnan S, Gutruf P, Tian L, Ghaffari R, Rogers JA. Bio-Integrated Wearable Systems: A Comprehensive Review. Chem Rev 2019; 119:5461-5533. [PMID: 30689360 DOI: 10.1021/acs.chemrev.8b00573] [Citation(s) in RCA: 475] [Impact Index Per Article: 79.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Bio-integrated wearable systems can measure a broad range of biophysical, biochemical, and environmental signals to provide critical insights into overall health status and to quantify human performance. Recent advances in material science, chemical analysis techniques, device designs, and assembly methods form the foundations for a uniquely differentiated type of wearable technology, characterized by noninvasive, intimate integration with the soft, curved, time-dynamic surfaces of the body. This review summarizes the latest advances in this emerging field of "bio-integrated" technologies in a comprehensive manner that connects fundamental developments in chemistry, material science, and engineering with sensing technologies that have the potential for widespread deployment and societal benefit in human health care. An introduction to the chemistries and materials for the active components of these systems contextualizes essential design considerations for sensors and associated platforms that appear in following sections. The subsequent content highlights the most advanced biosensors, classified according to their ability to capture biophysical, biochemical, and environmental information. Additional sections feature schemes for electrically powering these sensors and strategies for achieving fully integrated, wireless systems. The review concludes with an overview of key remaining challenges and a summary of opportunities where advances in materials chemistry will be critically important for continued progress.
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Affiliation(s)
- Tyler R Ray
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Jungil Choi
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Amay J Bandodkar
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Siddharth Krishnan
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Philipp Gutruf
- Department of Biomedical Engineering University of Arizona Tucson , Arizona 85721 , United States
| | - Limei Tian
- Department of Biomedical Engineering , Texas A&M University , College Station , Texas 77843 , United States
| | - Roozbeh Ghaffari
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - John A Rogers
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
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15
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Ma Y, Choi J, Hourlier-Fargette A, Xue Y, Chung HU, Lee JY, Wang X, Xie Z, Kang D, Wang H, Han S, Kang SK, Kang Y, Yu X, Slepian MJ, Raj MS, Model JB, Feng X, Ghaffari R, Rogers JA, Huang Y. Relation between blood pressure and pulse wave velocity for human arteries. Proc Natl Acad Sci U S A 2018; 115:11144-11149. [PMID: 30322935 PMCID: PMC6217416 DOI: 10.1073/pnas.1814392115] [Citation(s) in RCA: 122] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens-Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
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Affiliation(s)
- Yinji Ma
- Department of Engineering Mechanics, Tsinghua University, 100084 Beijing, China
- Center for Flexible Electronics Technology, Tsinghua University, 100084 Beijing, China
| | - Jungil Choi
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
| | - Aurélie Hourlier-Fargette
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
| | - Yeguang Xue
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
| | - Ha Uk Chung
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
| | - Jong Yoon Lee
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
| | - Xiufeng Wang
- School of Materials Science and Engineering, Xiangtan University, 411105 Hunan, China
| | - Zhaoqian Xie
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
| | - Daeshik Kang
- Department of Mechanical Engineering, Ajou University, 16499 Suwon-si, Republic of Korea
| | - Heling Wang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
| | - Seungyong Han
- Department of Mechanical Engineering, Ajou University, 16499 Suwon-si, Republic of Korea
| | - Seung-Kyun Kang
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, 34141 Daejeon, Republic of Korea
| | - Yisak Kang
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, 999077 Hong Kong, China
| | - Marvin J Slepian
- Department of Medicine and Biomedical Engineering, Sarver Heart Center, University of Arizona, Tucson, AZ 85724
| | - Milan S Raj
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
| | - Jeffrey B Model
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
| | - Xue Feng
- Department of Engineering Mechanics, Tsinghua University, 100084 Beijing, China
- Center for Flexible Electronics Technology, Tsinghua University, 100084 Beijing, China
| | - Roozbeh Ghaffari
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
- Department of Chemistry and Biomedical Engineering, Northwestern University, Evanston, IL 60208
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208;
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
- Department of Chemistry and Biomedical Engineering, Northwestern University, Evanston, IL 60208
- Department of Dermatology, Northwestern University, Evanston, IL 60208
- Feinberg School of Medicine Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208
- Department of Neurological Surgery, Northwestern University, Evanston, IL 60208
- Department of Chemistry, Northwestern University, Evanston, IL 60208
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801
- Frederick Seitz Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Yonggang Huang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208;
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
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