The probability density function of the surface electromyogram and its dependence on contraction force in the vastus lateralis.


Journal

Biomedical engineering online
ISSN: 1475-925X
Titre abrégé: Biomed Eng Online
Pays: England
ID NLM: 101147518

Informations de publication

Date de publication:
26 Oct 2024
Historique:
received: 24 04 2024
accepted: 27 08 2024
medline: 27 10 2024
pubmed: 27 10 2024
entrez: 27 10 2024
Statut: epublish

Résumé

The probability density function (PDF) of the surface electromyogram (sEMG) depends on contraction force. This dependence, however, has so far been investigated by having the subject generate force at a few fixed percentages of MVC. Here, we examined how the shape of the sEMG PDF changes with contraction force when this force was gradually increased from zero. Voluntary surface EMG signals were recorded from the vastus lateralis of healthy subjects as force was increased in a continuous manner vs. in a step-wise fashion. The sEMG filling process was examined by measuring the EMG filling factor, computed from the non-central moments of the rectified sEMG signal. (1) In 84% of the subjects, as contraction force increased from 0 to 10% MVC, the sEMG PDF shape oscillated back and forth between the semi-degenerate and the Gaussian distribution. (2) The PDF-force relation varied greatly among subjects for forces between 0 and ~ 10% MVC, but this variability was largely reduced for forces above 10% MVC. (3) The pooled analysis showed that, as contraction force gradually increased, the sEMG PDF evolved rapidly from the semi-degenerate towards the Laplacian distribution from 0 to 5% MVC, and then more slowly from the Laplacian towards the Gaussian distribution for higher forces. The study demonstrated that the dependence of the sEMG PDF shape on contraction force can only be reliably assessed by gradually increasing force from zero, and not by performing a few constant-force contractions. The study also showed that the PDF-force relation differed greatly among individuals for contraction forces below 10% MVC, but this variability was largely reduced when force increased above 10% MVC.

Identifiants

pubmed: 39462400
doi: 10.1186/s12938-024-01285-1
pii: 10.1186/s12938-024-01285-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106

Subventions

Organisme : This work has been supported by the project PID2022-136620OB-I00 financed by Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033/FEDER,UE.
ID : PID2022-136620OB-I00
Organisme : This work has been supported by the project PID2022-136620OB-I00 financed by Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033/FEDER,UE.
ID : PID2022-136620OB-I00
Organisme : This work has been supported by the project PID2022-136620OB-I00 financed by Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033/FEDER,UE.
ID : PID2022-136620OB-I00
Organisme : This work has been supported by the project PID2022-136620OB-I00 financed by Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033/FEDER,UE.
ID : PID2022-136620OB-I00
Organisme : This work has been supported by the project PID2022-136620OB-I00 financed by Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033/FEDER,UE.
ID : PID2022-136620OB-I00

Informations de copyright

© 2024. The Author(s).

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Auteurs

Javier Rodriguez-Falces (J)

Department of Electrical and Electronical Engineering, Public University of Navarra D.I.E.E., Campus de Arrosadía S/N, 31006, Pamplona, Spain. javier.rodriguez@unavarra.es.

Armando Malanda (A)

Department of Electrical and Electronical Engineering, Public University of Navarra D.I.E.E., Campus de Arrosadía S/N, 31006, Pamplona, Spain.

Cristina Mariscal (C)

Department of Clinical Neurophysiology, Hospital Complex of Navarra, Pamplona, Spain.

Silvia Recalde (S)

Department of Electrical and Electronical Engineering, Public University of Navarra D.I.E.E., Campus de Arrosadía S/N, 31006, Pamplona, Spain.

Javier Navallas (J)

Department of Electrical and Electronical Engineering, Public University of Navarra D.I.E.E., Campus de Arrosadía S/N, 31006, Pamplona, Spain.

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