Shoulder electromyography-based indicators to assess manifestation of muscle fatigue during laboratory-simulated manual handling task.
Muscle fatigue is a risk factor for developing shoulder musculoskeletal disorders. The aim of this study was to identify shoulder electromyographic indicators that are most indicative of muscle fatigue during a laboratory simulated manual handling task. Thirty-two participants were equipped with ele...
| Publicado en: | Ergonomics Vol. 65; no. 1; pp. 118 - 134 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jan2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154582997&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154582997 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Jan2022 vid: 65 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 154582997 151479288 154582997 154582997 10.1080/00140139.2021.1958013 154582997 ppf: 118 ppct: 16 formats: tig: atl: Shoulder electromyography-based indicators to assess manifestation of muscle fatigue during laboratory-simulated manual handling task. aug: au: Goubault, Etienne Martinez, Romain Bouffard, Jason Dowling-Medley, Jennifer Begon, Mickaël Dal Maso, Fabien affil: Laboratoire de Simulation et Modélisation du Mouvement, École de Kinésiologie et des sciences de l'activité physique, Université de Montréal, Laval, Canada sug: subj: Electromyography Methods Shoulder Physiology Muscle Fatigue Simulations Task Performance and Analysis Biomechanics Human Electrodes Exertion Multiple Linear Regression ab: Muscle fatigue is a risk factor for developing shoulder musculoskeletal disorders. The aim of this study was to identify shoulder electromyographic indicators that are most indicative of muscle fatigue during a laboratory simulated manual handling task. Thirty-two participants were equipped with electromyographic electrodes on 10 shoulder muscles and moved boxes for 45-minutes. The modified rate of perceived exertion (mRPE) was assessed every 5-minutes and multivariate linear regressions were performed between myoelectric manifestation of fatigue (MMF) and the mRPE scores. During a manual handling task representative of industry working conditions, spectral entropy, median frequency, and mobility were the electromyographic indicators that explained the largest percentage of the mRPE. Overall, the deltoids, biceps and upper trapezius were the muscles that most often showed significant changes over time in their electromyographic indicators. The combination of these three indicators may improve the accuracy for the assessment of MMF during manual handling. Practitioner Summary: To date, muscle fatigue has primarily been assessed during tasks done to exhaustion, which are not representative of typical working conditions. During a manual handling task representative of industry working conditions, EMG-derived spectral entropy, and median frequency, both extracted from time-frequency analysis, and mobility extracted from time domain, were the best indicators of the manifestation of muscle fatigue. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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