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Fast simulation and optimization tool to explore selective neural stimulation

Mélissa Dali, Olivier Rossel, David Guiraud
  • Mélissa Dali
    INRIA-LIRMM – Université de Montpellier, Campus Saint Priest – Montpellier, France | melissa.dali@inria.fr
  • Olivier Rossel
    INRIA-LIRMM – Université de Montpellier, Campus Saint Priest – Montpellier, France
  • David Guiraud
    INRIA-LIRMM – Université de Montpellier, Campus Saint Priest – Montpellier, France

Abstract

In functional electrical stimulation, selective stimulation of axons is desirable to activate a specific target, in particular muscular function. This implies to simulate a fascicule without activating neighboring ones i.e. to be spatially selective. Spatial selectivity is achieved by the use of multicontact cuff electrodes over which the stimulation current is distributed. Because of the large number of parameters involved, numerical simulations provide a way to find and optimize electrode configuration. The present work offers a computation effective scheme and associated tool chain capable of simulating electrode-nerve interface and find the best spread of current to achieve spatial selectivity.

Keywords

Spatial selectivity; Cuff electrode; Quasi-static approximation

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Submitted: 2016-06-06 12:56:55
Published: 2016-09-13 00:00:00
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Copyright (c) 2016 Mélissa Dali, Olivier Rossel, David Guiraud

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
 
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