Stable Bioelectric Signal Acquisition Using an Enlarged Surface-Area Flexible Skin Electrode

Yun, Inyeol; Jeung, Jinpyeo; Lim, Hyungsub; Kang, Jieun; Lee, Sangyeop; Park, Seongmin; Seong, Suwon; Park, Soo‐Jin; Cho, Kilwon; Chung, Yoonyoung

doi:10.1021/acsaelm.1c00095

Cited by 30 publications

(30 citation statements)

References 68 publications

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“…Yun et al used nanoscale gold particles to modify the surface of traditional metal electrodes and optimized the parameter settings of the nano-deposition process to increase the SNR of the electrode by increasing the specific surface area. The experimental results showed that the SNR increases by 51% in an ECG test and 63% in an EMG test [137]. Finally, through the quantitative detection of motion artifacts, it was found that the motion noise of the electrode was reduced by 95% compared with a traditional Ag/AgCl electrode [137].…”

Section: Manufacture Of Micro-nano Processing Technologymentioning

confidence: 94%

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High-Adhesive Flexible Electrodes and Their Manufacture: A Review

Xiao

Wang

et al. 2021

Micromachines

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All human activity is associated with the generation of electrical signals. These signals are collectively referred to as electrical physiology (EP) signals (e.g., electrocardiogram, electroencephalogram, electromyography, electrooculography, etc.), which can be recorded by electrodes. EP electrodes are not only widely used in the study of primary diseases and clinical practice, but also have potential applications in wearable electronics, human–computer interface, and intelligent robots. Various technologies are required to achieve such goals. Among these technologies, adhesion and stretchable electrode technology is a key component for rapid development of high-performance sensors. In last decade, remarkable efforts have been made in the development of flexible and high-adhesive EP recording systems and preparation technologies. Regarding these advancements, this review outlines the design strategies and related materials for flexible and adhesive EP electrodes, and briefly summarizes their related manufacturing techniques.

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Section: Manufacture Of Micro-nano Processing Technologymentioning

confidence: 94%

“…The experimental results showed that the SNR increases by 51% in an ECG test and 63% in an EMG test [137]. Finally, through the quantitative detection of motion artifacts, it was found that the motion noise of the electrode was reduced by 95% compared with a traditional Ag/AgCl electrode [137].…”

Section: Manufacture Of Micro-nano Processing Technologymentioning

confidence: 94%

High-Adhesive Flexible Electrodes and Their Manufacture: A Review

Xiao

Wang

et al. 2021

Micromachines

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“…Before placing the electrode, the following preparations should be made. At first, in order to ensure a good contact between the electrode and the skin, we should wipe the electrode with medical alcohol to remove the dead skin and oil on the skin surface and minimize the impedance between the electrodes [28]. en placing the electrode in the direction of the muscle fiber.…”

Section: E Placement Of Surface Electrodementioning

confidence: 99%

Musculoskeletal Rehabilitation Status Monitoring Based on sEMG

Han

Zhao²,

Wang³

et al. 2021

Mobile Information Systems

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The reduction and improper movements in people’s modern life will lead to physical discomfort, pain, and inflammation, which have generally affected the quality of people’s daily life and work efficiency. The pain caused by improper movements are called musculoskeletal pain, which can be relieved or eliminated with treatment. Musculoskeletal disorders are actually one of the most common medical conditions, which affects approximately one quarter of all adults in the world. Although surface electromyography (sEMG) is an acknowledged technology in musculoskeletal rehabilitation study, it is considerably significant to monitor the musculoskeletal rehabilitation status based on sEMG. In order to monitor the musculoskeletal rehabilitation status, we combine fuzzy theory with neural network. This article proposes variable size, sliding window-based, generalized, dynamic, fuzzy neural network (GD-FNN), musculoskeletal rehabilitation status monitoring, that is, the window length of sliding window of sample data changes with the size of sample period. Finally, this study made a simulation on subjects, and the experimental results show that the proposed variable size, sliding window-based GD-FNN, musculoskeletal rehabilitation status monitoring method not only has good monitoring effect but also put on a good performance in root-mean-squared error (RMSE) and mean absolute percentage error (MAPE).

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“…Wearable biomedical devices have received much attention to monitor individuals' health condition continuously by measuring various biosignals, such as electrocardiogram (ECG), electromyogram (EMG), ion concentration, and blood glucose level, in real time [1][2][3][4][5][6]. In order to design high-performance wearable devices, biosignal acquisitions with high signal-to-noise ratio (SNR) and sufficient sensitivity must be satisfied, as high-quality signals reduce the computational load for signal conditioning and increase the accuracy [7,8]. A sensing electrode is one of the essential components that affect the sensitivity of biosignal measurements.…”

Section: Introductionmentioning

confidence: 99%

Hierarchically Structured Flexible Electrode on Polyimide for Highly Sensitive and Reliable Biosignal Acquisition

et al. 2022

Self Cite

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Numerous wearable biomedical devices are developed for the continuous monitoring of personal health or condition. Biosignals acquisition with high sensitivity is important for designing wearable biomedical devices. A sensing electrode between the human body and wearable electronics significantly affects the sensitivity of the sensors. In this study, we fabricated hierarchically structured flexible electrodes on polyimide substrate (HSFE-PI) using micro-casting technique and gold nanoparticles electrodeposition. Polyimides provides robust and outstanding electrical characteristics, and the reliability of HSFE-PI was verified with a cyclic bending test. The integration of hierarchical structures significantly increased the surface area of the electrode by 2.06 times. We applied the HSFE-PI for electromyogram (EMG) and glucose sensing applications and achieved high sensitivity enhancement in both applications. The signal-to-noise ratio (SNR) of measured EMG signals was increased by 2.48 times, and the sensitivity of the glucose detection was increased by 1.42 times compared to the planar counterpart.

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Stable Bioelectric Signal Acquisition Using an Enlarged Surface-Area Flexible Skin Electrode

Cited by 30 publications

References 68 publications

High-Adhesive Flexible Electrodes and Their Manufacture: A Review

High-Adhesive Flexible Electrodes and Their Manufacture: A Review

Musculoskeletal Rehabilitation Status Monitoring Based on sEMG

Hierarchically Structured Flexible Electrode on Polyimide for Highly Sensitive and Reliable Biosignal Acquisition

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