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A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection

The study of wearable systems based on surface electromyography (sEMG) signals has attracted widespread attention and plays an important role in human–computer interaction, physiological state monitoring, and other fields. Traditional sEMG signal acquisition systems are primarily targeted at body pa...

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Detalles Bibliográficos
Autores principales: Liang, Zekai, Wang, Xuanqi, Guo, Jun, Ye, Yuanming, Zhang, Haoyang, Xie, Liang, Tao, Kai, Zeng, Wen, Yin, Erwei, Ji, Bowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221799/
https://www.ncbi.nlm.nih.gov/pubmed/37241708
http://dx.doi.org/10.3390/mi14051085
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author Liang, Zekai
Wang, Xuanqi
Guo, Jun
Ye, Yuanming
Zhang, Haoyang
Xie, Liang
Tao, Kai
Zeng, Wen
Yin, Erwei
Ji, Bowen
author_facet Liang, Zekai
Wang, Xuanqi
Guo, Jun
Ye, Yuanming
Zhang, Haoyang
Xie, Liang
Tao, Kai
Zeng, Wen
Yin, Erwei
Ji, Bowen
author_sort Liang, Zekai
collection PubMed
description The study of wearable systems based on surface electromyography (sEMG) signals has attracted widespread attention and plays an important role in human–computer interaction, physiological state monitoring, and other fields. Traditional sEMG signal acquisition systems are primarily targeted at body parts that are not in line with daily wearing habits, such as the arms, legs, and face. In addition, some systems rely on wired connections, which impacts their flexibility and user-friendliness. This paper presents a novel wrist-worn system with four sEMG acquisition channels and a high common-mode rejection ratio (CMRR) greater than 120 dB. The circuit has an overall gain of 2492 V/V and a bandwidth of 15~500 Hz. It is fabricated using flexible circuit technologies and is encapsulated in a soft skin-friendly silicone gel. The system acquires sEMG signals at a sampling rate of over 2000 Hz with a 16-bit resolution and transmits data to a smart device via low-power Bluetooth. Muscle fatigue detection and four-class gesture recognition experiments (accuracy greater than 95%) were conducted to validate its practicality. The system has potential applications in natural and intuitive human–computer interaction and physiological state monitoring.
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spelling pubmed-102217992023-05-28 A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection Liang, Zekai Wang, Xuanqi Guo, Jun Ye, Yuanming Zhang, Haoyang Xie, Liang Tao, Kai Zeng, Wen Yin, Erwei Ji, Bowen Micromachines (Basel) Article The study of wearable systems based on surface electromyography (sEMG) signals has attracted widespread attention and plays an important role in human–computer interaction, physiological state monitoring, and other fields. Traditional sEMG signal acquisition systems are primarily targeted at body parts that are not in line with daily wearing habits, such as the arms, legs, and face. In addition, some systems rely on wired connections, which impacts their flexibility and user-friendliness. This paper presents a novel wrist-worn system with four sEMG acquisition channels and a high common-mode rejection ratio (CMRR) greater than 120 dB. The circuit has an overall gain of 2492 V/V and a bandwidth of 15~500 Hz. It is fabricated using flexible circuit technologies and is encapsulated in a soft skin-friendly silicone gel. The system acquires sEMG signals at a sampling rate of over 2000 Hz with a 16-bit resolution and transmits data to a smart device via low-power Bluetooth. Muscle fatigue detection and four-class gesture recognition experiments (accuracy greater than 95%) were conducted to validate its practicality. The system has potential applications in natural and intuitive human–computer interaction and physiological state monitoring. MDPI 2023-05-21 /pmc/articles/PMC10221799/ /pubmed/37241708 http://dx.doi.org/10.3390/mi14051085 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liang, Zekai
Wang, Xuanqi
Guo, Jun
Ye, Yuanming
Zhang, Haoyang
Xie, Liang
Tao, Kai
Zeng, Wen
Yin, Erwei
Ji, Bowen
A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection
title A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection
title_full A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection
title_fullStr A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection
title_full_unstemmed A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection
title_short A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection
title_sort wireless, high-quality, soft and portable wrist-worn system for semg signal detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221799/
https://www.ncbi.nlm.nih.gov/pubmed/37241708
http://dx.doi.org/10.3390/mi14051085
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