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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...

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Detalles Bibliográficos
Autores principales: Chen, Yumiao, Yang, Zhongliang, Wen, Yangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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