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Li Y, Bai N, Chang Y, Liu Z, Liu J, Li X, Yang W, Niu H, Wang W, Wang L, Zhu W, Chen D, Pan T, Guo CF, Shen G. Flexible iontronic sensing. Chem Soc Rev 2025. [PMID: 40165624 DOI: 10.1039/d4cs00870g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
The emerging flexible iontronic sensing (FITS) technology has introduced a novel modality for tactile perception, mimicking the topological structure of human skin while providing a viable strategy for seamless integration with biological systems. With research progress, FITS has evolved from focusing on performance optimization and structural enhancement to a new phase of integration and intelligence, positioning it as a promising candidate for next-generation wearable devices. Therefore, a review from the perspective of technological development trends is essential to fully understand the current state and future potential of FITS devices. In this review, we examine the latest advancements in FITS. We begin by examining the sensing mechanisms of FITS, summarizing research progress in material selection, structural design, and the fabrication of active and electrode layers, while also analysing the challenges and bottlenecks faced by different segments in this field. Next, integrated systems based on FITS devices are reviewed, highlighting their applications in human-machine interaction, healthcare, and environmental monitoring. Additionally, the integration of artificial intelligence into FITS is explored, focusing on optimizing front-end device design and improving the processing and utilization of back-end data. Finally, building on existing research, future challenges for FITS devices are identified and potential solutions are proposed.
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Affiliation(s)
- Yang Li
- School of Integrated Circuits, Shandong University, Jinan, 250101, China
| | - Ningning Bai
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, China
| | - Yu Chang
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, China.
| | - Zhiguang Liu
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Jianwen Liu
- School of Integrated Circuits, Shandong University, Jinan, 250101, China
| | - Xiaoqin Li
- School of Integrated Circuits, Shandong University, Jinan, 250101, China
| | - Wenhao Yang
- School of Integrated Circuits, Shandong University, Jinan, 250101, China
| | - Hongsen Niu
- School of Information Science and Engineering, Shandong Provincial Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, 250022, China
| | - Weidong Wang
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, China
| | - Liu Wang
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027, China
| | - Wenhao Zhu
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Di Chen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China.
| | - Tingrui Pan
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, China.
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, P. R. China.
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China.
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Matouq J, AlSaaideh I, Hatahet O, Pott PP. Investigation and Validation of New Heart Rate Measurement Sites for Wearable Technologies. SENSORS (BASEL, SWITZERLAND) 2025; 25:2069. [PMID: 40218582 PMCID: PMC11990973 DOI: 10.3390/s25072069] [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: 02/17/2025] [Revised: 03/14/2025] [Accepted: 03/21/2025] [Indexed: 04/14/2025]
Abstract
A recent focus has been on developing wearable health solutions that allow users to seamlessly track their health metrics during their daily activities, providing convenient and continuous access to vital physiological data. This work investigates a heart rate (HR) monitoring system and compares the HR measurement from two potential sites for foot wearable technologies. The proposed system used a commercially available photoplethysmography sensor (PPG), microcontroller, Bluetooth module, and mobile phone application. HR measurements were obtained from two anatomical sites, i.e., the dorsalis pedis artery (DPA) and the posterior tibial artery (PTA), and compared to readings from the Apple Smartwatch during standing and walking tasks. The system was validated on twenty healthy volunteers, employing ANOVA and Bland-Altman analysis to assess the accuracy and consistency of the HR measurements. During the standing test, the Bland-Altman analysis showed a mean difference of 0.08 bpm for the DPA compared to a smaller mean difference of 0.069 bpm for the PTA. On the other hand, the walking test showed a mean difference of 0.255 bpm and -0.06 bpm for the DPA and PTA, respectively. These results showed a high level of agreement between the HR measurements collected at the foot with the smartwatch measurements, with superiority for the HR measurements collected at the PTA.
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Affiliation(s)
- Jumana Matouq
- Department of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan; (I.A.)
| | - Ibrahim AlSaaideh
- Department of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan; (I.A.)
| | - Oula Hatahet
- Department of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, Jordan; (I.A.)
| | - Peter P. Pott
- Institute of Medical Device Technology, University of Stuttgart, 70569 Stuttgart, Germany
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Yang Z, Wang J, Wan X, Xu H, Zhang C, Lu X, Jing W, Guo C, Wei X. Microbubble-based fabrication of resilient porous ionogels for high-sensitivity pressure sensors. MICROSYSTEMS & NANOENGINEERING 2024; 10:177. [PMID: 39587057 PMCID: PMC11589707 DOI: 10.1038/s41378-024-00780-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/24/2024] [Accepted: 07/15/2024] [Indexed: 11/27/2024]
Abstract
High-sensitivity flexible pressure sensors have obtained extensive attention because of their expanding applications in e-skins and wearable medical devices for various disease diagnoses. As the representative candidate for these sensors, the iontronic microstructure has been widely proven to enhance sensation behaviors such as the sensitivity and limits of detection. However, the fast and tunable fabrication of ionic-porous sensing elastomers remains challenging because of the current template-dissolved or 3D printing methods. Here, we report a microbubble-based fabrication process that enables microporous and resilient-compliance ionogels for high-sensitivity pressure sensors. Periodic motion sliding results in a relative velocity between the imported airflow and the fluid solution, converts the airflow to microbubbles in the high-viscosity ionic fluid and promptly solidifies the fluid into a porous ionogel under ultraviolet exposure. The ultrahigh porosity of up to 95% endows the porous ionogel with superelasticity and a Young's modulus near 7 kPa. Due to the superelastic compliance and iontronic electrical double-layer effect, the porous ionogel packaged into two electrodes endows the pressure sensor with high sensitivity (684.4 kPa-1) over an ultrabroad range (~1 MPa) and a high-pressure resolution of 0.46%. Furthermore, the pressure sensor successfully captures high-yield broad-range signals from the fingertip low-pressure pulses (<1 kPa) to foot high-pressure activities (>500 kPa), even the grasping force of soft machine hands via an array-scanning circuit during object recognition. This microbubble-based fabrication process for porous ionogels paves the way for designing wearable sensors or permeable electronics to monitor and diagnose various diseases.
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Affiliation(s)
- Ziwei Yang
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jingxiao Wang
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiao Wan
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hongcheng Xu
- School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Chuanyu Zhang
- School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiaoke Lu
- Frontier Institute of Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Weixuan Jing
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Chuanfei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Xueyong Wei
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
- School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
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Zhang C, Ouyang W, Zhang L, Li D. A dual-mode fiber-shaped flexible capacitive strain sensor fabricated by direct ink writing technology for wearable and implantable health monitoring applications. MICROSYSTEMS & NANOENGINEERING 2023; 9:158. [PMID: 38144391 PMCID: PMC10739884 DOI: 10.1038/s41378-023-00634-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/31/2023] [Accepted: 11/08/2023] [Indexed: 12/26/2023]
Abstract
Flexible fiber-shaped strain sensors show tremendous potential in wearable health monitoring and human‒machine interactions due to their compatibility with everyday clothing. However, the conductive and sensitive materials generated by traditional manufacturing methods to fabricate fiber-shaped strain sensors, including sequential coating and solution extrusion, exhibit limited stretchability, resulting in a limited stretch range and potential interface delamination. To address this issue, we fabricate a fiber-shaped flexible capacitive strain sensor (FSFCSS) by direct ink writing technology. Through this technology, we print parallel helical Ag electrodes on the surface of TPU tube fibers and encapsulate them with a high dielectric material BTO@Ecoflex, endowing FSFCSS with excellent dual-mode sensing performance. The FSFCSS can sense dual-model strain, namely, axial tensile strain and radial expansion strain. For axial tensile strain sensing, FSFCSS exhibits a wide detection range of 178%, a significant sensitivity of 0.924, a low detection limit of 0.6%, a low hysteresis coefficient of 1.44%, and outstanding mechanical stability. For radial expansion strain sensing, FSFCSS demonstrates a sensitivity of 0.00086 mmHg-1 and exhibits excellent responsiveness to static and dynamic expansion strain. Furthermore, FSFCSS was combined with a portable data acquisition circuit board for the acquisition of physiological signals and human‒machine interaction in a wearable wireless sensing system. To measure blood pressure and heart rate, FSFCSS was combined with a printed RF coil in series to fabricate a wireless hemodynamic sensor. This work enables simultaneous application in wearable and implantable health monitoring, thereby advancing the development of smart textiles.
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Affiliation(s)
- Chi Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 300072 Tianjin, China
| | - Wenyu Ouyang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 300072 Tianjin, China
| | - Lei Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 300072 Tianjin, China
| | - Dachao Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 300072 Tianjin, China
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5
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Wu H, Zhang Z, Li X, Shang K, Han Y, Geng Z, Pan T. A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.110187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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6
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Zou P, Wang Y, Cai H, Peng T, Pan T, Li R, Fan Y. Wearable Iontronic FMG for Classification of Muscular Locomotion. IEEE J Biomed Health Inform 2022; 26:2854-2863. [PMID: 35536817 DOI: 10.1109/jbhi.2022.3173968] [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: 11/07/2022]
Abstract
Human motion recognition with high accuracy, fast response speed has long been considered an essential component in human-machine interactive activities such as assistive robotics, medical prosthesis, and wearable electronics. This study proposed a novel human lower limb locomotion classification strategy based on flexible supercapacitive iontronic sensors. Benefiting from the ultrahigh sensitivity (up to 1 nF/mmHg) and low activation pressure (less than 3 mmHg) of the supercapacitive iontronic pressure sensor, force myography (FMG) signal was acquired more accurately from 5 iontronic sensors strapped to the thigh (5 percentage point improvement compared with force sensitive resistor (FSR) in low window length). In the experiment with 12 subjects, the real-time classification strategy based on sliding window and SVM model gave an average locomotion classification accuracy of 99% for seven categories, including sitting, standing, walking on level ground, ramp ascent, ramp descent, stair ascent, stair descent. Compared with traditional FSR sensors, the result showed that iontronic sensors improved the classification accuracy by 5 percentage points in the case of short time window. The implementation of the high sensitivity flexible iontronic sensors in the wearable system brings a valuable tool for detecting small human body pressure signals and has great potential to improve the performance of the human-machine interface in rehabilitation and medical applications.
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Highly stable flexible pressure sensors with a quasi-homogeneous composition and interlinked interfaces. Nat Commun 2022; 13:1317. [PMID: 35273183 PMCID: PMC8913661 DOI: 10.1038/s41467-022-29093-y] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/22/2022] [Indexed: 12/18/2022] Open
Abstract
Electronic skins (e-skins) are devices that can respond to mechanical stimuli and enable robots to perceive their surroundings. A great challenge for existing e-skins is that they may easily fail under extreme mechanical conditions due to their multilayered architecture with mechanical mismatch and weak adhesion between the interlayers. Here we report a flexible pressure sensor with tough interfaces enabled by two strategies: quasi-homogeneous composition that ensures mechanical match of interlayers, and interlinked microconed interface that results in a high interfacial toughness of 390 J·m−2. The tough interface endows the sensor with exceptional signal stability determined by performing 100,000 cycles of rubbing, and fixing the sensor on a car tread and driving 2.6 km on an asphalt road. The topological interlinks can be further extended to soft robot-sensor integration, enabling a seamless interface between the sensor and robot for highly stable sensing performance during manipulation tasks under complicated mechanical conditions. E-skins often have poor interfaces that lead to unstable performances. Here, authors report e-skins with a quasi-homogeneous composition and bonded micro-structured interfaces, through which both the sensitivity and stability of the devices are improved.
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Zhao Y, Yu M, Sun J, Zhang S, Li Q, Teng L, Tian Q, Xie R, Li G, Liu L, Liu Z. Electrical Failure Mechanism in Stretchable Thin-Film Conductors. ACS APPLIED MATERIALS & INTERFACES 2022; 14:3121-3129. [PMID: 34981914 DOI: 10.1021/acsami.1c22447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Stretchable thin-film conductors are basic building blocks in advanced flexible and stretchable electronics. Current research mainly focuses on strategies to improve stretchability and widen the range of applications of stretchable conductors. However, stability should not be neglected, and the electrical failure mode is one of the most common stability issues that determines the current range and duration in a circuit. In this work, we report the electrical failure mechanism of stretchable conductors. We find a special failure mode for the stretchable conductors, which can be attributed to the coupling effect between local thermal strains and dynamic resistance changes of the thin film. This creates a vicious circle that significantly differs from traditional conductors. Physical parameters related to this special failure mode are investigated in detail. It is found that this mechanism is applicable to different kinds of stretchable conductors. Based on this finding, we also explore methods to modulate the failure of stretchable conductors. The failure mechanism found here provides a fundamental understanding of the current effect of stretchable circuits and is crucial for designing stable stretchable bioelectrodes and circuits.
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Affiliation(s)
- Yang Zhao
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Mei Yu
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jing Sun
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Shenglong Zhang
- School of Energy and Power Engineering, Shandong University, Jinan 250061, China
- Optics and Thermal Radiation Research Center, Shandong University, Qingdao 266237, China
| | - Qingsong Li
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Lijun Teng
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Qiong Tian
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Ruijie Xie
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Guanglin Li
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
| | - Linhua Liu
- School of Energy and Power Engineering, Shandong University, Jinan 250061, China
- Optics and Thermal Radiation Research Center, Shandong University, Qingdao 266237, China
| | - Zhiyuan Liu
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Center of Neural Engineering, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China
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Subramaniam S, Majumder S, Faisal AI, Deen MJ. Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges. SENSORS (BASEL, SWITZERLAND) 2022; 22:438. [PMID: 35062398 PMCID: PMC8780030 DOI: 10.3390/s22020438] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 01/01/2022] [Accepted: 01/03/2022] [Indexed: 02/04/2023]
Abstract
Wearable health monitoring devices allow for measuring physiological parameters without restricting individuals' daily activities, providing information that is reflective of an individual's health and well-being. However, these systems need to be accurate, power-efficient, unobtrusive and simple to use to enable a reliable, convenient, automatic and ubiquitous means of long-term health monitoring. One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual's health. This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems developed in recent years. Existing solutions are reviewed, and several open issues are presented and discussed. The concept of a fully integrated insole-based health monitoring system and considerations for future work are described. By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual's health and well-being can be obtained without interrupting day-to-day activities. The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.
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Affiliation(s)
- Sophini Subramaniam
- School of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada;
| | - Sumit Majumder
- Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada; (S.M.); (A.I.F.)
- Department of Biomedical Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh
| | - Abu Ilius Faisal
- Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada; (S.M.); (A.I.F.)
| | - M. Jamal Deen
- School of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada;
- Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada; (S.M.); (A.I.F.)
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Alharbi A, Abdur Rahman MD. Review of Recent Technologies for Tackling COVID-19. SN COMPUTER SCIENCE 2021; 2:460. [PMID: 34549196 PMCID: PMC8444512 DOI: 10.1007/s42979-021-00841-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 08/26/2021] [Indexed: 01/09/2023]
Abstract
The current pandemic caused by the COVID-19 virus requires more effort, experience, and science-sharing to overcome the damage caused by the pathogen. The fast and wide human-to-human transmission of the COVID-19 virus demands a significant role of the newest technologies in the form of local and global computing and information sharing, data privacy, and accurate tests. The advancements of deep neural networks, cloud computing solutions, blockchain technology, and beyond 5G (B5G) communication have contributed to the better management of the COVID-19 impacts on society. This paper reviews recent attempts to tackle the COVID-19 situation using these technological advancements.
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Affiliation(s)
- Ayman Alharbi
- Department Of Computer Engineering, College of Computer and Information systems, Umm AL-Qura University, Mecca, Saudi Arabia
| | - MD Abdur Rahman
- Department of Cyber Security and Forensic Computing, College of Computer and Cyber Sciences, University of Prince Mugrin, Madinah, 41499 Saudi Arabia
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Teng Y, Yu H, Chen P, Bao Y. HIGH-INTENSITY TRAINING ON PULSE AND DICROTIC WAVEFORM IN CHRONIC DISEASES. REV BRAS MED ESPORTE 2021. [DOI: 10.1590/1517-8692202127072021_0371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT Introduction: The formation and propagation of pulse waves are mainly accomplished by coordinating the heart and the vascular system. The contraction and relaxation of the heart are the sources of pulse waves. The aorta vibrates regularly as the heart contracts. This vibration propagates forward along the elastic blood vessel to form a pulse wave. The pulse wave contains very rich physiological and pathological information about the cardiovascular system. If there is a problem with the heart's structure, it can cause abnormal pulse waveforms. Objective: This article analyzes pulse waveform changes and blood flow during high-intensity interval training. It combines the test results to guide the exercise rehabilitation treatment of patients with chronic diseases. Methods: Pulse waves were collected from subjects under different exercise loads and the characteristics of pulse wave parameters under intermittent exercise were studied. Results: An athlete's pulse wave response is different in the case of high-intensity intermittent exercise. There are differences in the cardiovascular response of patients with different body weights. Conclusion: High-intensity interval training can improve the cardiovascular function of patients with chronic diseases and affect their pulse waveform. Level of evidence II; Therapeutic studies - investigation of treatment results.
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Affiliation(s)
- Yusong Teng
- Liaoning Normal University School of Physical Education, China
| | - Haomiao Yu
- Liaoning Normal University School of Physical Education, China
| | - Peng Chen
- Liaoning Normal University School of Physical Education, China
| | - Yichen Bao
- Liaoning Normal University School of Physical Education, China
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12
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Chen R, Zhang Z, Deng K, Wang D, Ke H, Cai L, Chang CW, Pan T. Blink-sensing glasses: A flexible iontronic sensing wearable for continuous blink monitoring. iScience 2021; 24:102399. [PMID: 33997684 PMCID: PMC8102906 DOI: 10.1016/j.isci.2021.102399] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 03/15/2021] [Accepted: 04/02/2021] [Indexed: 01/14/2023] Open
Abstract
Blink reflex has long been considered closely related to physiological states, from which abundant information on ocular health and activities can be revealed. In this study, a smart glasses wearable has been developed, incorporating a flexible and sensitive pressure sensor, to monitor blink patterns by continuously detecting ocular muscular movements, referred to as blink-sensing glasses. By applying the emerging flexible iontronic sensing (FITS) sensor with the sensitivity of 340 pF/mmHg, the skin pressure variations induced by movements of the orbicularis oculi muscles can be monitored in real time. The blink-sensing glasses can successfully capture blink patterns with a high accuracy of 96.3% and have been used to differentiate the blink features from both dry-eye subjects and healthy controls. This device can be potentially used as a new clinical and research monitoring tool for continuous eye blink analysis, while providing patients with high comfortableness in long-term ambulatory and home settings. Blink-sensing glasses can capture blink patterns with clinical-grade high accuracy A FITS sensor is applied to monitor the blink by detecting the muscle movement Blink-sensing glasses can be of potential use to prognose the dry eye The glasses are a continuous detection manner with immunity to ambient lights
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Affiliation(s)
- Rui Chen
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.,School of Computer Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhichao Zhang
- Micro-Nano Innovations (MiNI) Laboratory, Department of Biomedical Engineering, University of California, Davis, CA 95616, USA.,TacSense, Inc., Woodland, CA 95776, USA
| | - Ka Deng
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.,Shenzhen Engineering Laboratory of Single-molecule Detection and Instrument Development Shenzhen 518055, China
| | - Dahu Wang
- Department of Ophthalmology, LongHua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Hongmin Ke
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen 518055, China
| | - Li Cai
- Department of Ophthalmology, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen 518055, China
| | - Chi-Wei Chang
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Tingrui Pan
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.,Micro-Nano Innovations (MiNI) Laboratory, Department of Biomedical Engineering, University of California, Davis, CA 95616, USA.,Shenzhen Engineering Laboratory of Single-molecule Detection and Instrument Development Shenzhen 518055, China.,Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China.,Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
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13
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Shah N, Kamdar L, Gokalgandhi D, Mehendale N. Walking pattern analysis using deep learning for energy harvesting smart shoes with IoT. Neural Comput Appl 2021. [DOI: 10.1007/s00521-021-05864-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Chang Y, Wang L, Li R, Zhang Z, Wang Q, Yang J, Guo CF, Pan T. First Decade of Interfacial Iontronic Sensing: From Droplet Sensors to Artificial Skins. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2003464. [PMID: 33346388 DOI: 10.1002/adma.202003464] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/16/2020] [Indexed: 05/21/2023]
Abstract
Over the past decade, a brand-new pressure- and tactile-sensing modality, known as iontronic sensing has emerged, utilizing the supercapacitive nature of the electrical double layer (EDL) that occurs at the electrolytic-electronic interface, leading to ultrahigh device sensitivity, high noise immunity, high resolution, high spatial definition, optical transparency, and responses to both static and dynamic stimuli, in addition to thin and flexible device architectures. Together, it offers unique combination of enabling features to tackle the grand challenges in pressure- and tactile-sensing applications, in particular, with recent interest and rapid progress in the development of robotic intelligence, electronic skin, wearable health as well as the internet-of-things, from both academic and industrial communities. A historical perspective of the iontronic sensing discovery, an overview of the fundamental working mechanism along with its device architectures, a survey of the unique material aspects and structural designs dedicated, and finally, a discussion of the newly enabled applications, technical challenges, and future outlooks are provided for this promising sensing modality with implementations. The state-of-the-art developments of the iontronic sensing technology in its first decade are summarized, potentially providing a technical roadmap for the next wave of innovations and breakthroughs in this field.
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Affiliation(s)
- Yu Chang
- Bionic Sensing and Intelligence Center (BSIC), Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, 518055, China
| | - Liu Wang
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Ruya Li
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Zhichao Zhang
- Micro and Nano-Innovations (MiNI) Laboratory, Department of Biomedical Engineering, University of California, Davis, CA, 95616, USA
| | - Qi Wang
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Junlong Yang
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Tingrui Pan
- Micro and Nano-Innovations (MiNI) Laboratory, Department of Biomedical Engineering, University of California, Davis, CA, 95616, USA
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Zhang Z, Zhang R, Chang CW, Guo Y, Chi YW, Pan T. iWRAP: A Theranostic Wearable Device With Real-Time Vital Monitoring and Auto-Adjustable Compression Level for Venous Thromboembolism. IEEE Trans Biomed Eng 2021; 68:2776-2786. [PMID: 33493109 DOI: 10.1109/tbme.2021.3054335] [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: 11/09/2022]
Abstract
OBJECTIVE Venous Thromboembolism (VTE) is a commonly underdiagnosed disease with severe consequences and an exceedingly high mortality rate. Conventional compression wraps are devised for therapeutic purpose but lack diagnostic capacity. Recent advances in flexible electronics and wearable technologies offer many possibilities for chronic disease management. In particular, vital signs have been studied to show a strong correlation with the risk of VTE patients. In this study, we aim to develop an intelligent theranostic compression device, referred to as iWRAP, with the built-in capacity of real-time vital sign monitoring together with auto-adjustable compression level. METHODS An instantaneous pneumatic feedback control with a high-resolution pressure sensor is integrated to provide a highly stabilized compression level at the prescribed interface pressure for an improved therapeutic outcome. Meanwhile, arterial pulse waveforms extracted from the pressure readings from the smart compression device can be utilized to derive the body vital signs, including heart rate (HR), respiratory rate (RR) and blood pressure (BP). RESULTS A reliable delivery of the targeted compression level within ±5% accuracy in the range of 20-60 mmHg has been achieved through the feedback of the interface pressure. Both HR and RR have been measured within clinical-grade accuracies. Moreover, BP estimated using an ALA model has been achieved at low compression levels, which is also within a clinical-acceptable accuracy. The acquired vital information has been instantaneously fit into the clinically acceptable criteria for life-threatening PE risk with timely assessments. CONCLUSION The iWRAP has shown the potential to become the first theranostic wearable device with both continuous delivery of accurate and effective compression therapy and real-time monitoring of life-threatening conditions for VTE patients.
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Li H, Wang Z, Cao Y, Ma Y, Feng X. Optical difference in the frequency domain to suppress disturbance for wearable electronics. BIOMEDICAL OPTICS EXPRESS 2020; 11:6920-6932. [PMID: 33408970 PMCID: PMC7747917 DOI: 10.1364/boe.403033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 10/07/2020] [Accepted: 10/11/2020] [Indexed: 06/12/2023]
Abstract
Measurements based on optics offer a wide range of unprecedented opportunities in the biological application due to the noninvasive or non-destructive detection. Wearable skin-like optoelectronic devices, capable of deforming with the human skin, play significant roles in future biomedical engineering such as clinical diagnostics or daily healthcare. However, the detected signals based on light intensity are very sensitive to the light path. The performance degradation of the wearable devices occurs due to device deformation or motion artifact. In this work, we propose the optical difference in the frequency domain of signals for suppressing the disturbance generated by wearable device deformation or motion artifact during the photoplethysmogram (PPG) monitoring. The signal processing is simulated with different input waveforms for analyzing the performance of this method. Then we design and fabricate a wearable optoelectronic device to monitor the PPG signal in the condition of motion artifact and use the optical difference in the frequency domain of signals to suppress irregular disturbance. The proposed method reduced the average error in heart rate estimation from 13.04 beats per minute (bpm) to 3.41 bpm in motion and deformation situations. These consequences open up a new prospect for improving the performance of the wearable optoelectronic devices and precise medical monitoring in the future.
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Affiliation(s)
- Haicheng Li
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Zhouheng Wang
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Yu Cao
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Yinji Ma
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Xue Feng
- AML, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
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Gokalgandhi D, Kamdar L, Shah N, Mehendale N. A Review of Smart Technologies Embedded in Shoes. J Med Syst 2020; 44:150. [PMID: 32728888 DOI: 10.1007/s10916-020-01613-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 07/15/2020] [Indexed: 10/23/2022]
Abstract
Technological advancements in wearable devices have revolutionized smart shoes. Smart shoes are sometimes referred to as intelligent shoes or computer-based shoes. They are capable of recognizing and recording data from day-to-day activities by the user. Such smart shoes are designed with sensors, vibrating motors, GPS, wireless systems, and various other sensors/actuators for the comfort and benefit of the wearer. In the current manuscript, we are reviewing various technologies that are implemented in smart shoes.
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Affiliation(s)
| | - Laxit Kamdar
- K. J. Somaiya College of Engineering, Mumbai, India
| | - Neel Shah
- K. J. Somaiya College of Engineering, Mumbai, India
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Zhang Y, Ahmadi M, Timm G, Sezen S, Rajamani R. An Instrumented Urethral Catheter with a Distributed Array of Iontronic Force Sensors. Ann Biomed Eng 2020; 49:149-161. [PMID: 32377979 DOI: 10.1007/s10439-020-02528-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 04/29/2020] [Indexed: 01/11/2023]
Abstract
This paper develops a novel instrumented urethral catheter with an array of force sensors for measuring the distributed pressure in a human urethra. The catheter and integrated portions of the force sensors are fabricated by the use of 3D printing using a combination of both soft and hard polymer substrates. Other portions of the force sensors consisting of electrodes and electrolytes are fabricated separately and assembled on top of the 3D-printed catheter to create a soft flexible device. The force sensors use a novel supercapacitive (iontronic) sensing mechanism in which the contact area between a pair of electrodes and a paper-based electrolyte changes in response to force. This provides a highly sensitive measure of force that is immune to parasitic noise from liquids. The developed catheter is tested using a force calibration test rig, a cuff-based pressure application device, an extracted bladder and urethra from a sheep and by dipping inside a beaker of water. The force sensors are found to have a sensitivity of 30-50 nF/N, which is 1000 times larger than that of traditional capacitive force sensors. They exhibit negligible capacitance change when dipped completely in water. The pressure cuff tests and the extracted sheep tissue tests also verify the ability of the sensor array to work reliably in providing distributed force measurements. The developed catheter could help diagnose ailments related to urinary incontinence and inadequate urethral closure pressure.
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Affiliation(s)
- Ye Zhang
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, USA
| | - Mahdi Ahmadi
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, USA
| | - Gerald Timm
- Department of Urology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Serdar Sezen
- Department of Mechanical and Manufacturing Engineering, St. Cloud State University, St. Cloud, USA
| | - Rajesh Rajamani
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, USA.
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