A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 May 2023
Historique:
received: 15 03 2023
revised: 26 04 2023
accepted: 16 05 2023
medline: 12 6 2023
pubmed: 10 6 2023
entrez: 10 6 2023
Statut: epublish

Résumé

Surface electromyography (sEMG) is generally used to measure muscles' activity. The sEMG signal can be affected using several factors and vary among individuals and even measurement trials. Thus, to consistently evaluate data among individuals and trials, the maximum voluntary contraction (MVC) value is usually calculated and used to normalize sEMG signals. However, the sEMG amplitude collected from low back muscles can be frequently larger than that found when conventional MVC measurement procedures are used. To address this limitation, in this study, we proposed a new dynamic MVC measurement procedure for low back muscles. Inspired by weightlifting, we designed a detailed dynamic MVC procedure, and then collected data from 10 able-bodied participants and compared their performances using several conventional MVC procedures by normalizing the sEMG amplitude for the same test. The sEMG amplitude normalized by our dynamic MVC procedure showed a much lower value than those obtained using other procedures (Wilcoxon signed-rank test, with

Identifiants

pubmed: 37299726
pii: s23114999
doi: 10.3390/s23114999
pmc: PMC10255402
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Natural Sciences and Engineering Research Council
ID : ALLRP 567348 - 21
Organisme : Alberta Innovates
ID : ALLRP 567348 - 21

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Auteurs

Xun Wang (X)

Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Karla Beltran Martinez (K)

Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Ali Golabchi (A)

Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
EWI Works International Inc., Edmonton, AB T6E 3N8, Canada.

Mahdi Tavakoli (M)

Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Hossein Rouhani (H)

Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.

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Classifications MeSH