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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...

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Autores principales: Correa, Matthieu, Projetti, Maxime, Siegler, Isabelle A., Vignais, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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