Synthesis of Optimal Electrical Stimulation Patterns for Functional Motion Restoration Applied to Spinal Cord Injured PatientsReport as inadecuate

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1 LGP - Laboratoire Génie de Production 2 DEMAR - Artificial movement and gait restoration LIRMM - Laboratoire d-Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée 3 PROPARA - Centre Mutualiste de Réeducation Neurologique Propara

Abstract : We investigated the synthesis of electrical stimulation patterns for functional movement restoration in human paralyzed limbs. We considered the knee joint system, co-activated by the stimulated quadriceps and hamstring muscles. This synthesis is based on optimized functional electrical stimulation FES patterns to minimize muscular energy consumption and movement efficiency criteria. This two-part work includes a multi-scale physiological muscle model, based on Huxley’s formulation. In the simulation, three synthesis strategies were investigated and compared in terms of muscular energy consumption and co-contraction levels. In the experimental validation, the synthesized FES patterns were carried out on the quadriceps-knee joint system of four complete spinal cord injured subjects. Surface stimulation was applied to all subjects, except for one FES-implanted subject who received neural stimulation. In each experimental validation, the model was adapted to the subject through a parameter identification procedure. Simulation results were successful and showed high co-contraction levels when reference trajectories were tracked. Experimental validation results were encouraging, as the desired and measured trajectories showed good agreement, with an 8.4 % rms error in a subject without substantial time-varying behavior. We updated the maximal isometric force in the model to account for time-varying behavior, which improved the average rms errors from 31.4 to 13.9 % for all subjects.

Keywords : FES synthesis Physiological musculoskeletal model FES Spinal Cord Injury Functional electrical stimulation Rehabilitation Optimization techniques

Author: Mourad Benoussaad - Philippe Poignet - Mitsuhiro Hayashibe - Christine Azevedo Coste - Charles Fattal - David Guiraud -



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