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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10221799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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