A toolchain to simulate and investigate selective stimulation strategies for FES

Jeremy Laforet 1, * David Guiraud 1 Maureen Clerc 2
* Auteur correspondant
1 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
2 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : When contracting a muscle using NFES (Neural Functional Electrical Stimulation), the stimulus always activates the axons of greater diameter first. Also selective activation of given fascicle inside a nerve is not possible with classical cuff electrode as the recruitment is performed uniformly around the nerve. These limits lead to poorly selective muscle recruitment, inducing fatigue and possible pain. To overcome this, selective stimulation strategies can be used. We propose a toolchain to investigate, simulate and tune selective stimulation strategies. It consists of a conduction volume model to compute the electric field generated in the nerve by a cuff electrode surrounding it; an axon model to predict the effect of the field on the nerve fibre --~the generation, propagation and possible block of action potentials; and an interface script that links the two models and generates the code of the input function for the nerve fibre model. We present some simulation results to illustrate the possibilities of the toolchain to simulate such strategies. Ongoing experimental validations are also discussed. They will enable us to tune the model and may lead to further improvements.
Type de document :
Communication dans un congrès
EMBC: Engineering in Medicine and Biology Conference, Sep 2009, Minneapolis, MN, United States. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4966-4969, 2009, 〈10.1109/IEMBS.2009.5334100〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00412305
Contributeur : Jérémy Laforêt <>
Soumis le : mardi 1 septembre 2009 - 14:06:17
Dernière modification le : vendredi 19 octobre 2018 - 11:00:03

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Jeremy Laforet, David Guiraud, Maureen Clerc. A toolchain to simulate and investigate selective stimulation strategies for FES. EMBC: Engineering in Medicine and Biology Conference, Sep 2009, Minneapolis, MN, United States. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4966-4969, 2009, 〈10.1109/IEMBS.2009.5334100〉. 〈lirmm-00412305〉

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