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A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG
Traditional rigid exoskeletons can be challenging to the comfort of wearers and can have large pressure, which can even alter natural hand motion patterns. In this paper, we propose a low-cost soft exoskeleton glove (SExoG) system driven by surface electromyography (sEMG) signals from non-paretic ha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830700/ https://www.ncbi.nlm.nih.gov/pubmed/33467452 http://dx.doi.org/10.3390/s21020578 |
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author | Chen, Yumiao Yang, Zhongliang Wen, Yangliang |
author_facet | Chen, Yumiao Yang, Zhongliang Wen, Yangliang |
author_sort | Chen, Yumiao |
collection | PubMed |
description | Traditional rigid exoskeletons can be challenging to the comfort of wearers and can have large pressure, which can even alter natural hand motion patterns. In this paper, we propose a low-cost soft exoskeleton glove (SExoG) system driven by surface electromyography (sEMG) signals from non-paretic hand for bilateral training. A customization method of geometrical parameters of soft actuators was presented, and their structure was redesigned. Then, the corresponding pressure values of air-pump to generate different angles of actuators were determined to support four hand motions (extension, rest, spherical grip, and fist). A two-step hybrid model combining the neural network and the state exclusion algorithm was proposed to recognize four hand motions via sEMG signals from the healthy limb. Four subjects were recruited to participate in the experiments. The experimental results show that the pressure values for the four hand motions were about −2, 0, 40, and 70 KPa, and the hybrid model can yield a mean accuracy of 98.7% across four hand motions. It can be concluded that the novel SExoG system can mirror the hand motions of non-paretic hand with good performance. |
format | Online Article Text |
id | pubmed-7830700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78307002021-01-26 A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG Chen, Yumiao Yang, Zhongliang Wen, Yangliang Sensors (Basel) Article Traditional rigid exoskeletons can be challenging to the comfort of wearers and can have large pressure, which can even alter natural hand motion patterns. In this paper, we propose a low-cost soft exoskeleton glove (SExoG) system driven by surface electromyography (sEMG) signals from non-paretic hand for bilateral training. A customization method of geometrical parameters of soft actuators was presented, and their structure was redesigned. Then, the corresponding pressure values of air-pump to generate different angles of actuators were determined to support four hand motions (extension, rest, spherical grip, and fist). A two-step hybrid model combining the neural network and the state exclusion algorithm was proposed to recognize four hand motions via sEMG signals from the healthy limb. Four subjects were recruited to participate in the experiments. The experimental results show that the pressure values for the four hand motions were about −2, 0, 40, and 70 KPa, and the hybrid model can yield a mean accuracy of 98.7% across four hand motions. It can be concluded that the novel SExoG system can mirror the hand motions of non-paretic hand with good performance. MDPI 2021-01-15 /pmc/articles/PMC7830700/ /pubmed/33467452 http://dx.doi.org/10.3390/s21020578 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Yumiao Yang, Zhongliang Wen, Yangliang A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG |
title | A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG |
title_full | A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG |
title_fullStr | A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG |
title_full_unstemmed | A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG |
title_short | A Soft Exoskeleton Glove for Hand Bilateral Training via Surface EMG |
title_sort | soft exoskeleton glove for hand bilateral training via surface emg |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830700/ https://www.ncbi.nlm.nih.gov/pubmed/33467452 http://dx.doi.org/10.3390/s21020578 |
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