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EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill
Augmented feedback provided by a coach or augmented reality system can facilitate the acquisition of a motor skill. Verbal instructions and visual aids can be effective in providing feedback about the kinematics of the desired movements. However, many skills require mastering not only kinematic, but...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897456/ https://www.ncbi.nlm.nih.gov/pubmed/36741786 http://dx.doi.org/10.3389/fnhum.2022.805867 |
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author | Barradas, Victor R. Cho, Woorim Koike, Yasuharu |
author_facet | Barradas, Victor R. Cho, Woorim Koike, Yasuharu |
author_sort | Barradas, Victor R. |
collection | PubMed |
description | Augmented feedback provided by a coach or augmented reality system can facilitate the acquisition of a motor skill. Verbal instructions and visual aids can be effective in providing feedback about the kinematics of the desired movements. However, many skills require mastering not only kinematic, but also complex kinetic patterns, for which feedback is harder to convey. Here, we propose the electromyography (EMG) space similarity feedback, which may indirectly convey kinematic and kinetic feedback by comparing the muscle activations of the learner and an expert in the task. The EMG space similarity feedback is a score that reflects how well a set of muscle synergies extracted from the expert can reconstruct the learner’s EMG when performing the task. We tested the EMG space similarity feedback in a virtual bimanual polishing task that uses a robotic system to simulate the dynamics of a real polishing operation. We measured the expert’s and learner’s EMG from eight muscles in each arm during the real and virtual polishing tasks, respectively. The goal of the virtual task was to smoothen the surface of a virtual object. Therefore, we defined performance in the task as the smoothness of the object at the end of a trial. We separated learners into real feedback and null feedback groups to assess the effects of the EMG space similarity feedback. The real and null feedback groups received veridic and no EMG space similarity feedback, respectively. Subjects participated in five training sessions on different days, and we evaluated their performance on each day. Subjects in both groups were able to increase smoothness throughout the training sessions, with no significant differences between groups. However, subjects in the real feedback group were able to improve in the EMG space similarity score to a significantly greater extent than the null feedback group. Additionally, subjects in the real feedback group produced muscle activations that became increasingly consistent with an important muscle synergy found in the expert. Our results indicate that the EMG space similarity feedback promotes acquiring expert-like muscle activation patterns, suggesting that it may assist in the acquisition of complex motor skills. |
format | Online Article Text |
id | pubmed-9897456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98974562023-02-04 EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill Barradas, Victor R. Cho, Woorim Koike, Yasuharu Front Hum Neurosci Neuroscience Augmented feedback provided by a coach or augmented reality system can facilitate the acquisition of a motor skill. Verbal instructions and visual aids can be effective in providing feedback about the kinematics of the desired movements. However, many skills require mastering not only kinematic, but also complex kinetic patterns, for which feedback is harder to convey. Here, we propose the electromyography (EMG) space similarity feedback, which may indirectly convey kinematic and kinetic feedback by comparing the muscle activations of the learner and an expert in the task. The EMG space similarity feedback is a score that reflects how well a set of muscle synergies extracted from the expert can reconstruct the learner’s EMG when performing the task. We tested the EMG space similarity feedback in a virtual bimanual polishing task that uses a robotic system to simulate the dynamics of a real polishing operation. We measured the expert’s and learner’s EMG from eight muscles in each arm during the real and virtual polishing tasks, respectively. The goal of the virtual task was to smoothen the surface of a virtual object. Therefore, we defined performance in the task as the smoothness of the object at the end of a trial. We separated learners into real feedback and null feedback groups to assess the effects of the EMG space similarity feedback. The real and null feedback groups received veridic and no EMG space similarity feedback, respectively. Subjects participated in five training sessions on different days, and we evaluated their performance on each day. Subjects in both groups were able to increase smoothness throughout the training sessions, with no significant differences between groups. However, subjects in the real feedback group were able to improve in the EMG space similarity score to a significantly greater extent than the null feedback group. Additionally, subjects in the real feedback group produced muscle activations that became increasingly consistent with an important muscle synergy found in the expert. Our results indicate that the EMG space similarity feedback promotes acquiring expert-like muscle activation patterns, suggesting that it may assist in the acquisition of complex motor skills. Frontiers Media S.A. 2023-01-20 /pmc/articles/PMC9897456/ /pubmed/36741786 http://dx.doi.org/10.3389/fnhum.2022.805867 Text en Copyright © 2023 Barradas, Cho and Koike. https://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 Barradas, Victor R. Cho, Woorim Koike, Yasuharu EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
title | EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
title_full | EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
title_fullStr | EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
title_full_unstemmed | EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
title_short | EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
title_sort | emg space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897456/ https://www.ncbi.nlm.nih.gov/pubmed/36741786 http://dx.doi.org/10.3389/fnhum.2022.805867 |
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