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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9515161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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