FES-drop-foot correction: from pre-programmed patterns to online modulation

Christine Azevedo Coste 1 Benoît Sijobert 1 Jérôme Froger 2, 3
1 CAMIN - Control of Artificial Movement and Intuitive Neuroprosthesis
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this communication we will present on going work in our team and recent results towards the improvement of FES-controllers for drop-foot correction in post-stroke survivors. We will insist on challenges to met the way to more adaptive systems. Most of the results have been already published and we try here to make a synthesis in order to explain our general framework.
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Christine Azevedo Coste, Benoît Sijobert, Jérôme Froger. FES-drop-foot correction: from pre-programmed patterns to online modulation. ICNR: International Conference on NeuroRehabilitation, Oct 2016, Ségovie, Spain. pp.971-974, ⟨10.1007/978-3-319-46669-9_157⟩. ⟨lirmm-01375375⟩

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