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Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task
The purpose of this study was to compare electromyographic (EMG) with mechanomyographic (MMG) recordings during isometric conditions, and during a simulated load-lifting task. Twenty-two males (age: 25.5 ± 5.3 years) first performed maximal voluntary contractions (MVC) and submaximal isometric contr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535044/ https://www.ncbi.nlm.nih.gov/pubmed/37766025 http://dx.doi.org/10.3390/s23187969 |
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author | Correa, Matthieu Projetti, Maxime Siegler, Isabelle A. Vignais, Nicolas |
author_facet | Correa, Matthieu Projetti, Maxime Siegler, Isabelle A. Vignais, Nicolas |
author_sort | Correa, Matthieu |
collection | PubMed |
description | The purpose of this study was to compare electromyographic (EMG) with mechanomyographic (MMG) recordings during isometric conditions, and during a simulated load-lifting task. Twenty-two males (age: 25.5 ± 5.3 years) first performed maximal voluntary contractions (MVC) and submaximal isometric contractions of upper limb muscles at 25%, 50% and 75% MVC. Participants then executed repetitions of a functional activity simulating a load-lifting task above shoulder level, at 25%, 50% and 75% of their maximum activity (based on MVC). The low-frequency part of the accelerometer signal (<5 Hz) was used to segment the six phases of the motion. EMG and MMG were both recorded during the entire experimental procedure. Root mean square (RMS) and mean power frequency (MPF) were selected as signal extraction features. During isometric contractions, EMG and MMG exhibited similar repeatability scores. They also shared similar RMS vs. force relationship, with RMS increasing to 75% MVC and plateauing to 100%. MPF decreased with increasing force to 75% MVC. In dynamic condition, [Formula: see text] exhibited higher sensitivity to changes in load than [Formula: see text]. These results confirm the feasibility of MMG measurements to be used during functional activities outside the laboratory. It opens new perspectives for future applications in sports science, ergonomics and human–machine interface conception. |
format | Online Article Text |
id | pubmed-10535044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105350442023-09-29 Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task Correa, Matthieu Projetti, Maxime Siegler, Isabelle A. Vignais, Nicolas Sensors (Basel) Article The purpose of this study was to compare electromyographic (EMG) with mechanomyographic (MMG) recordings during isometric conditions, and during a simulated load-lifting task. Twenty-two males (age: 25.5 ± 5.3 years) first performed maximal voluntary contractions (MVC) and submaximal isometric contractions of upper limb muscles at 25%, 50% and 75% MVC. Participants then executed repetitions of a functional activity simulating a load-lifting task above shoulder level, at 25%, 50% and 75% of their maximum activity (based on MVC). The low-frequency part of the accelerometer signal (<5 Hz) was used to segment the six phases of the motion. EMG and MMG were both recorded during the entire experimental procedure. Root mean square (RMS) and mean power frequency (MPF) were selected as signal extraction features. During isometric contractions, EMG and MMG exhibited similar repeatability scores. They also shared similar RMS vs. force relationship, with RMS increasing to 75% MVC and plateauing to 100%. MPF decreased with increasing force to 75% MVC. In dynamic condition, [Formula: see text] exhibited higher sensitivity to changes in load than [Formula: see text]. These results confirm the feasibility of MMG measurements to be used during functional activities outside the laboratory. It opens new perspectives for future applications in sports science, ergonomics and human–machine interface conception. MDPI 2023-09-19 /pmc/articles/PMC10535044/ /pubmed/37766025 http://dx.doi.org/10.3390/s23187969 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Correa, Matthieu Projetti, Maxime Siegler, Isabelle A. Vignais, Nicolas Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task |
title | Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task |
title_full | Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task |
title_fullStr | Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task |
title_full_unstemmed | Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task |
title_short | Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task |
title_sort | mechanomyographic analysis for muscle activity assessment during a load-lifting task |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535044/ https://www.ncbi.nlm.nih.gov/pubmed/37766025 http://dx.doi.org/10.3390/s23187969 |
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