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Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training

INTRODUCTION: Studies on adaptive robot-assisted upper limb training interactions do not often consider the implications of muscle fatigue sufficiently. METHODS: To explore this, we initially assessed muscle fatigue in 10 healthy subjects using two electromyogram features, namely average power and m...

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Autores principales: Poyil, Azeemsha T, Steuber, Volker, Amirabdollahian, Farshid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079312/
https://www.ncbi.nlm.nih.gov/pubmed/32206337
http://dx.doi.org/10.1177/2055668320903014
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author Poyil, Azeemsha T
Steuber, Volker
Amirabdollahian, Farshid
author_facet Poyil, Azeemsha T
Steuber, Volker
Amirabdollahian, Farshid
author_sort Poyil, Azeemsha T
collection PubMed
description INTRODUCTION: Studies on adaptive robot-assisted upper limb training interactions do not often consider the implications of muscle fatigue sufficiently. METHODS: To explore this, we initially assessed muscle fatigue in 10 healthy subjects using two electromyogram features, namely average power and median power frequency, during an assist-as-needed interaction with HapticMaster robot. Since robotic assistance resulted in a variable fatigue profile across participants, a completely tiring experiment, without a robot in the loop, was also designed to confirm the results. RESULTS: A significant increase in average power and a decrease in median frequency were observed in the most active muscles. Average power in the frequency band of 0.8–2.5 Hz and median frequency in the band of 20–450 Hz are potential fatigue indicators. Also, comparing the Spearman’s correlation coefficients (between the electromyogram average power and the kinematic force) across trials indicated that correlation was reduced as individual muscles were fatigued. CONCLUSIONS: Confirming fatigue indicators, this study concludes that robotic assistance based on user’s performance resulted in lesser muscle fatigue, which caused an increase in electromyogram–force correlation. We now intend to utilise the electromyogram and kinematic features for auto-adaptation of therapeutic human–robot interactions.
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spelling pubmed-70793122020-03-23 Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training Poyil, Azeemsha T Steuber, Volker Amirabdollahian, Farshid J Rehabil Assist Technol Eng Original Article INTRODUCTION: Studies on adaptive robot-assisted upper limb training interactions do not often consider the implications of muscle fatigue sufficiently. METHODS: To explore this, we initially assessed muscle fatigue in 10 healthy subjects using two electromyogram features, namely average power and median power frequency, during an assist-as-needed interaction with HapticMaster robot. Since robotic assistance resulted in a variable fatigue profile across participants, a completely tiring experiment, without a robot in the loop, was also designed to confirm the results. RESULTS: A significant increase in average power and a decrease in median frequency were observed in the most active muscles. Average power in the frequency band of 0.8–2.5 Hz and median frequency in the band of 20–450 Hz are potential fatigue indicators. Also, comparing the Spearman’s correlation coefficients (between the electromyogram average power and the kinematic force) across trials indicated that correlation was reduced as individual muscles were fatigued. CONCLUSIONS: Confirming fatigue indicators, this study concludes that robotic assistance based on user’s performance resulted in lesser muscle fatigue, which caused an increase in electromyogram–force correlation. We now intend to utilise the electromyogram and kinematic features for auto-adaptation of therapeutic human–robot interactions. SAGE Publications 2020-03-16 /pmc/articles/PMC7079312/ /pubmed/32206337 http://dx.doi.org/10.1177/2055668320903014 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Poyil, Azeemsha T
Steuber, Volker
Amirabdollahian, Farshid
Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
title Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
title_full Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
title_fullStr Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
title_full_unstemmed Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
title_short Influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
title_sort influence of muscle fatigue on electromyogram–kinematic correlation during robot-assisted upper limb training
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079312/
https://www.ncbi.nlm.nih.gov/pubmed/32206337
http://dx.doi.org/10.1177/2055668320903014
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