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Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment
A muscular synergy is a theory suggesting that the central nervous system uses few commands to activate a group of muscles to produce a given movement. Here, we investigate how a muscle synergy extracted from a single muscle can be at the origin of different signals which could facilitate the contro...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914832/ https://www.ncbi.nlm.nih.gov/pubmed/31920611 http://dx.doi.org/10.3389/fnbot.2019.00100 |
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author | He, Liang Mathieu, Pierre A. |
author_facet | He, Liang Mathieu, Pierre A. |
author_sort | He, Liang |
collection | PubMed |
description | A muscular synergy is a theory suggesting that the central nervous system uses few commands to activate a group of muscles to produce a given movement. Here, we investigate how a muscle synergy extracted from a single muscle can be at the origin of different signals which could facilitate the control of modern upper limb myoelectric prostheses with many degrees of freedom. Five pairs of surface electrodes were positioned across the biceps of 12 normal subjects and electromyographic (EMG) signals were collected while their upper limbs were in eight different static postures. Those signals were used to move, within a virtual cube, a small red sphere toward different targets. With three muscular synergies extracted from the five EMG signals, a classifier was trained to identify which synergy pattern was associated with a given static posture. Later, when a posture was recognized, the result was a displacement of a red sphere toward a corner of a virtual cube presented on a computer screen. The axes of the cube were assigned to the shoulder, elbow and wrist joint while each of its the corners was associated with a static posture. The goal for subjects was to reach, one at a time, the four targets positioned at different locations and heights in the virtual cube with different sequences of postures. The results of 12 normal subjects indicate that with the muscular synergies of the biceps brachii, it was possible, but not easy for an untrained person, to reach a target on each trial. Thus, as a proof of concept, we show that features of the biceps muscular synergy have the potential to facilitate the control of upper limb myoelectric prostheses. To our knowledge, this has never been shown before. |
format | Online Article Text |
id | pubmed-6914832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69148322020-01-09 Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment He, Liang Mathieu, Pierre A. Front Neurorobot Neuroscience A muscular synergy is a theory suggesting that the central nervous system uses few commands to activate a group of muscles to produce a given movement. Here, we investigate how a muscle synergy extracted from a single muscle can be at the origin of different signals which could facilitate the control of modern upper limb myoelectric prostheses with many degrees of freedom. Five pairs of surface electrodes were positioned across the biceps of 12 normal subjects and electromyographic (EMG) signals were collected while their upper limbs were in eight different static postures. Those signals were used to move, within a virtual cube, a small red sphere toward different targets. With three muscular synergies extracted from the five EMG signals, a classifier was trained to identify which synergy pattern was associated with a given static posture. Later, when a posture was recognized, the result was a displacement of a red sphere toward a corner of a virtual cube presented on a computer screen. The axes of the cube were assigned to the shoulder, elbow and wrist joint while each of its the corners was associated with a static posture. The goal for subjects was to reach, one at a time, the four targets positioned at different locations and heights in the virtual cube with different sequences of postures. The results of 12 normal subjects indicate that with the muscular synergies of the biceps brachii, it was possible, but not easy for an untrained person, to reach a target on each trial. Thus, as a proof of concept, we show that features of the biceps muscular synergy have the potential to facilitate the control of upper limb myoelectric prostheses. To our knowledge, this has never been shown before. Frontiers Media S.A. 2019-12-10 /pmc/articles/PMC6914832/ /pubmed/31920611 http://dx.doi.org/10.3389/fnbot.2019.00100 Text en Copyright © 2019 He and Mathieu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience He, Liang Mathieu, Pierre A. Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment |
title | Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment |
title_full | Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment |
title_fullStr | Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment |
title_full_unstemmed | Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment |
title_short | Biceps Brachii Muscle Synergy and Target Reaching in a Virtual Environment |
title_sort | biceps brachii muscle synergy and target reaching in a virtual environment |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914832/ https://www.ncbi.nlm.nih.gov/pubmed/31920611 http://dx.doi.org/10.3389/fnbot.2019.00100 |
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