Michaud, FlorianBeron, SantiagoLugrís-Armesto, UrbanoCuadrado, Javier2024-07-292024-07-292024-03-11Michaud 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.2024.13661721664-042Xhttp://hdl.handle.net/2183/38283[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.engCreative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)http://creativecommons.org/licenses/by-nc-sa/3.0/es/Musculotendon dynamicsMuscle forceMuscle fatigue modelForce predictionMusculotendon modelsSport performanceErgonomicsMathematical modelsjournal articleopen accesshttps://doi.org/10.3389/fphys.2024.1366172