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Finite Dimensional Approximation to Muscular Response in Force-Fatigue Dynamics using Functional Electrical Stimulation

Abstract : Recent dynamical models, based on the seminal work of V. Hill, allow to predict the muscular response to functional electrostimulation (FES), in the isometric and non-isometric cases. The physical controls are modeled as Dirac pulses and lead to a sampled-data control system, sampling corresponding to times of the stimulation, where the output is the muscular force response. Such a dynamics is suitable to compute optimized controls aiming to produce a constant force or force strengthening, but is complex for real time applications. The objective of this article is to construct a finite dimensional approximation of this response to provide fast optimizing schemes, in particular for the design of a smart electrostimulator for muscular reinforcement or rehabilitation. It is an on-going industrial project based on force-fatigue models, validated by experiments. Moreover it opens the road to application of optimal control to track a reference trajectory in the joint angular variable to produce movement in the non-isometric models.
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https://hal.inria.fr/hal-03154450
Contributor : Jérémy Rouot Connect in order to contact the contributor
Submitted on : Friday, April 29, 2022 - 5:26:15 PM
Last modification on : Friday, November 25, 2022 - 10:12:06 AM

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Toufik Bakir, Bernard Bonnard, Sandrine Gayrard, Jérémy Rouot. Finite Dimensional Approximation to Muscular Response in Force-Fatigue Dynamics using Functional Electrical Stimulation. Automatica, 2022, ⟨10.1016/j.automatica.2022.110464⟩. ⟨hal-03154450v3⟩

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