New approach of cycling phases detection to improve FES-pedaling in SCI individuals

Roberto de Souza Baptista 1, 2 Benoît Sijobert 1 Christine Azevedo Coste 1
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 : FES allows spinal cord injured individuals to propel tricycles by means of their own leg power. The stimulation patterns are in most of the cases predefined and muscle activation triggered on the basis of the pedal position. This requires an empirical tuning to fit the pattern to the pilot sitting position and distance to crank with no possible generalization and no adaptive properties. The aim of the present article is to introduce a new approach of motion segmentation based on inertial measurement units located on the cyclist legs with the final aim to predict the optimal pedaling force evolution. Results obtained with one healthy subject in different cycling conditions are presented and the application to FES-cycling discussed.
Keywords : FES SCI FES cycling
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Roberto de Souza Baptista, Benoît Sijobert, Christine Azevedo Coste. New approach of cycling phases detection to improve FES-pedaling in SCI individuals. IROS: Intelligent Robots and Systems, Oct 2018, Madrid, Spain. pp.5181-5186, ⟨10.1109/IROS.2018.8594162⟩. ⟨lirmm-01900033⟩

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