FATIGUE ANALYSIS USING ELECTROMYOGRAPHY DRIVEN MUSCULOSKELETAL TRUNK MODELS

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type , Conference object , Article 01 Jan 2022 Netherlands Publisher:ZenodoJournal:Proceedings of the European Society of BiomechanicsFunded by:EC | SOPHIA

Authors: Refai, Mohamed Irfan Mohamed; Huawei Wang; Esteban, Alejandro Moya; Sartori, Massimo;

doi: 10.5281/zenodo.6819528 , 10.5281/zenodo.6819529

FATIGUE ANALYSIS USING ELECTROMYOGRAPHY DRIVEN MUSCULOSKELETAL TRUNK MODELS

- Summary
- Metrics

Abstract

Muscle fatigue progression is commonly studied using Electromyography (EMG). Although muscle forces can be obtained using EMG-driven neuromusculoskeletal models (EDMM), these do not reflect changes in force generation due to fatigue. Here, we studied trunk muscle forces in 3 participants using EDMM during a fatigue task. We discuss results and model updates needed to obtain realistic muscle forces during fatiguing tasks.

Country

Netherlands

Related Organizations

University of Twente
Netherlands

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average