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Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors

This study aimed to analyze anthropometrics and mechanomyography (MMG) signals as forearm flexion, pronation, and supination torque predictors. 25 young, healthy, male participants performed isometric forearm flexion, pronation, and supination tasks from 20 to 100% maximal voluntary isometric contra...

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Autores principales: Talib, Irsa, Sundaraj, Kenneth, Hussain, Jawad, Lam, Chee Kiang, Ahmad, Zeshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515161/
https://www.ncbi.nlm.nih.gov/pubmed/36168025
http://dx.doi.org/10.1038/s41598-022-20223-6
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author Talib, Irsa
Sundaraj, Kenneth
Hussain, Jawad
Lam, Chee Kiang
Ahmad, Zeshan
author_facet Talib, Irsa
Sundaraj, Kenneth
Hussain, Jawad
Lam, Chee Kiang
Ahmad, Zeshan
author_sort Talib, Irsa
collection PubMed
description This study aimed to analyze anthropometrics and mechanomyography (MMG) signals as forearm flexion, pronation, and supination torque predictors. 25 young, healthy, male participants performed isometric forearm flexion, pronation, and supination tasks from 20 to 100% maximal voluntary isometric contraction (MVIC) while maintaining 90° at the elbow joint. Nine anthropometric measures were recorded, and MMG signals from the biceps brachii (BB), brachialis (BRA), and brachioradialis (BRD) muscles were digitally acquired using triaxial accelerometers. These were then correlated with torque values. Significant positive correlations were found for arm circumference (CA) and MMG root mean square (RMS) values with flexion torque. Flexion torque might be predicted using CA (r = 0.426–0.575), a pseudo for muscle size while MMG(RMS) (r = 0.441), an indication of muscle activation.
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spelling pubmed-95151612022-09-29 Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors Talib, Irsa Sundaraj, Kenneth Hussain, Jawad Lam, Chee Kiang Ahmad, Zeshan Sci Rep Article This study aimed to analyze anthropometrics and mechanomyography (MMG) signals as forearm flexion, pronation, and supination torque predictors. 25 young, healthy, male participants performed isometric forearm flexion, pronation, and supination tasks from 20 to 100% maximal voluntary isometric contraction (MVIC) while maintaining 90° at the elbow joint. Nine anthropometric measures were recorded, and MMG signals from the biceps brachii (BB), brachialis (BRA), and brachioradialis (BRD) muscles were digitally acquired using triaxial accelerometers. These were then correlated with torque values. Significant positive correlations were found for arm circumference (CA) and MMG root mean square (RMS) values with flexion torque. Flexion torque might be predicted using CA (r = 0.426–0.575), a pseudo for muscle size while MMG(RMS) (r = 0.441), an indication of muscle activation. Nature Publishing Group UK 2022-09-27 /pmc/articles/PMC9515161/ /pubmed/36168025 http://dx.doi.org/10.1038/s41598-022-20223-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Talib, Irsa
Sundaraj, Kenneth
Hussain, Jawad
Lam, Chee Kiang
Ahmad, Zeshan
Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
title Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
title_full Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
title_fullStr Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
title_full_unstemmed Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
title_short Analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
title_sort analysis of anthropometrics and mechanomyography signals as forearm flexion, pronation and supination torque predictors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515161/
https://www.ncbi.nlm.nih.gov/pubmed/36168025
http://dx.doi.org/10.1038/s41598-022-20223-6
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