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Conference Papers Year : 2016

New Dynamic Muscle Fatigue Model to Limit Musculo-Skeletal Disorder

Abstract

Muscle fatigue is one of the reason leads to Musculo-Skeletal Disorder(MSD). Automation in today's industries makes human effort very less, but still there are many industries in which human have to do complex and repetitive tasks manually. The society/companies have to pay attention on this issue due to the new laws on penibility or repetitive tasks. The objective of this paper is to experimentally validate a new dynamic muscle fatigue model using electromyog-raphy (EMG) and Maximum voluntary contraction (MVC). A new model is developed by introducing a co-contraction factor 'n' in the Ruina Ma's dynamic muscle fatigue model. The experimental data of ten subjects are used to analyze the muscle activities and muscle fatigue during extension-flexion motion of the arm on a constant absolute value of the external load. The findings for co-contraction factor shows that the fatigue increases when co-contraction area decreases. The dynamic muscle fatigue model is validated using the MVC data, fatigue rate and co-contraction factor of the subjects.
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Dates and versions

hal-01309156 , version 1 (28-04-2016)

Identifiers

  • HAL Id : hal-01309156 , version 1

Cite

Deep Seth, Damien Chablat, Bennis Fouad, Sophie Sakka, Marc Jubeau, et al.. New Dynamic Muscle Fatigue Model to Limit Musculo-Skeletal Disorder. Laval virtual, Mar 2016, Laval, France. ⟨hal-01309156⟩
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