Four-compartment muscle fatigue model to predict metabolic inhibition and long-lasting nonmetabolic components
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Four-compartment muscle fatigue model to predict metabolic inhibition and long-lasting nonmetabolic componentsDate
2024-03-11Citation
Michaud F, Beron S, Lugrís U and Cuadrado J (2024), Four-compartment muscle fatigue model to predict metabolic inhibition and longlasting nonmetabolic components. Front. Physiol. 15:1366172. doi: 10.3389/fphys.2024.1366172
Abstract
[Abstract] Computational muscle force models aim to mathematically represent the mechanics of movement and the factors influencing force generation. These tools allow the prediction of the nonlinear and task-related muscle behavior, aiding biomechanics, sports science, and rehabilitation. Despite often overlooking muscle fatigue in low-force scenarios, these simulations are crucial for high-intensity activities where fatigue and force loss play a significant role. Applications include functional electrical stimulation, motor control, and ergonomic considerations in diverse contexts, encompassing rehabilitation and the prevention of injuries in sports and workplaces.
Keywords
Musculotendon dynamics
Muscle force
Muscle fatigue model
Force prediction
Musculotendon model
Sport performance
Ergonomics
Mathematical models
Muscle force
Muscle fatigue model
Force prediction
Musculotendon model
Sport performance
Ergonomics
Mathematical models
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Rights
Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
ISSN
1664-042X