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Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients

Benoussaad, Mourad and Poignet, Philippe and Hayashibe, Mitsuhiro and Azevedo-Coste, Christine and Fattal, Charles and Guiraud, David Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients. (2015) Medical & Biological Engineering & Computing, 53 (3). 227-240. ISSN 0140-0118

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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.

Item Type:Article
Additional Information:Thanks to Springer editor. The definitive version is available at : http://www.springer.com/fr/.The original PDF of the article can be found at SpringerLink website : http://dx.doi.org/10.1007/s11517-014-1227-x
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche en Informatique et en Automatique - INRIA (FRANCE)
Other partners > Université de Montpellier 2 (FRANCE)
Other partners > Languedoc Mutualité (FRANCE)
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Deposited By: Mourad Benoussaad
Deposited On:27 Jan 2016 12:47

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