An optimization method tracking EMG, ground reactions forces and marker trajectories for musculo-tendon forces estimation in equinus gait
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19 avril 2023
- handle: 10670/1.vcrewd
- doi: 10.3389/fnbot.2019.00048
Attribution 4.0 International (CC BY 4.0) , https://creativecommons.org/licenses/by/4.0/deed.fr
Mots-clés
Musculoskeletal modeling Direct multiple shooting Co-contraction Musculo-tendon 11 forces Neuromusculoskeletal simulationsSujets proches
Service of process Service of papers Abuse of process Process Pelvic region Pelvic cavity Muscle Musculature Myodynamics Myology Pattern ModelCiter ce document
Florent Moissenet et al., « An optimization method tracking EMG, ground reactions forces and marker trajectories for musculo-tendon forces estimation in equinus gait », Papyrus : le dépôt institutionnel de l'Université de Montréal, ID : 10.3389/fnbot.2019.00048
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Résumé
In the context of neuro-orthopedic pathologies affecting walking and thus patients' quality of life, understanding the mechanisms of gait deviations and identifying the causal motor impairments is of primary importance. Beside other approaches, neuromusculoskeletal simulations may be used to provide insight into this matter. To the best of our knowledge, no computational framework exists in the literature that allows for predictive simulations featuring muscle co-contractions, and the introduction of various types of perturbations during both healthy and pathological gait types. The aim of this preliminary study was to adapt a recently proposed EMG-marker tracking optimization process to a lower limb musculoskeletal model during equinus gait, a multiphase problem with contact forces. The resulting optimization method tracking EMG, ground reactions forces, and marker trajectories allowed an accurate reproduction of joint kinematics (average error of 5.4 ± 3.3 mm for pelvis translations, and 1.9 ± 1.3° for pelvis rotation and joint angles) and ensured good temporal agreement in muscle activity (the concordance between estimated and measured excitations was 76.8 ± 5.3 %) in a relatively fast process (3.88 ± 1.04 h). We have also highlighted that the tracking of ground reaction forces was possible and accurate (average error of 17.3 ± 5.5 N), even without the use of a complex foot-ground contact model.