Muscle co-contraction in an upper limb musculoskeletal model: EMG-assisted vs. standard load-sharing

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Serval ID
serval:BIB_0E219CBD388A
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Muscle co-contraction in an upper limb musculoskeletal model: EMG-assisted vs. standard load-sharing
Journal
Computer Methods in Biomechanics and Biomedical Engineering
Author(s)
Sarshari Ehsan, Mancuso Matteo, Terrier Alexandre, Farron Alain, Mullhaupt Philippe, Pioletti Dominique
ISSN
1025-5842
1476-8259
Publication state
Published
Issued date
14/10/2020
Pages
1-14
Language
english
Abstract
Estimation of muscle forces in over-actuated musculoskeletal models involves optimal distributions of net joint moments among muscles by a standard load-sharing scheme (SLS). Given that co-contractions of antagonistic muscles are counterproductive in the net joints moments, SLS might underestimate the co-contractions. Muscle co-contractions play crucial roles in stability of the glenohumeral (GH) joint. The aim of this study was to improve estimations of muscle co-contractions by incorporating electromyography (EMG) data into an upper limb musculoskeletal model. To this end, the model SLS was modified to develop an EMG-assisted load-sharing scheme (EALS). EMG of fifteen muscles were measured during arm flexion and abduction on a healthy subject and fed into the model. EALS was compared to SLS in terms of muscle forces, GH joint reaction force, and a stability ratio defined to quantify the GH joint stability. The results confirmed that EALS estimated higher muscle co-contractions compared to the SLS (e.g., above 50 N higher forces for both triceps long and biceps long during arm flexion).
Keywords
Human-Computer Interaction, Bioengineering, Biomedical Engineering, General Medicine, Computer Science Applications
Web of science
Create date
27/10/2020 8:28
Last modification date
04/11/2020 6:23
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