A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back

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) valu...

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Main Authors: Xun Wang, Karla Beltran Martinez, Ali Golabchi, Mahdi Tavakoli, Hossein Rouhani
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/11/4999
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author Xun Wang
Karla Beltran Martinez
Ali Golabchi
Mahdi Tavakoli
Hossein Rouhani
author_facet Xun Wang
Karla Beltran Martinez
Ali Golabchi
Mahdi Tavakoli
Hossein Rouhani
author_sort Xun Wang
collection DOAJ
description 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 <i>p</i> < 0.05), indicating that the sEMG collected during dynamic MVC procedure had a larger amplitude than those of conventional MVC procedures. Therefore, our proposed dynamic MVC obtained sEMG amplitudes closer to its physiological maximum value and is thus more capable of normalizing the sEMG amplitude for low back muscles.
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spelling doaj.art-dcfcb726be704349898cc1dc1843d30f2023-11-18T08:31:09ZengMDPI AGSensors1424-82202023-05-012311499910.3390/s23114999A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low BackXun Wang0Karla Beltran Martinez1Ali Golabchi2Mahdi Tavakoli3Hossein Rouhani4Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaSurface 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 <i>p</i> < 0.05), indicating that the sEMG collected during dynamic MVC procedure had a larger amplitude than those of conventional MVC procedures. Therefore, our proposed dynamic MVC obtained sEMG amplitudes closer to its physiological maximum value and is thus more capable of normalizing the sEMG amplitude for low back muscles.https://www.mdpi.com/1424-8220/23/11/4999surface electromyographylow back musclestrunk bendingergonomic riskMVC
spellingShingle Xun Wang
Karla Beltran Martinez
Ali Golabchi
Mahdi Tavakoli
Hossein Rouhani
A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
Sensors
surface electromyography
low back muscles
trunk bending
ergonomic risk
MVC
title A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
title_full A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
title_fullStr A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
title_full_unstemmed A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
title_short A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
title_sort dynamic procedure to detect maximum voluntary contractions in low back
topic surface electromyography
low back muscles
trunk bending
ergonomic risk
MVC
url https://www.mdpi.com/1424-8220/23/11/4999
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