https://doi.org/10.4081/ejtm.2016.6060

Fast simulation and optimization tool to explore selective neural stimulation

Vol. 26 No. 3 (2016)
Submitted: 6 June 2016
Accepted: 6 June 2016
Published: 13 September 2016
Spatial selectivity, Cuff electrode, Quasi-static approximation
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Authors

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

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How to Cite

Dali, M., Rossel, O., & Guiraud, D. (2016). Fast simulation and optimization tool to explore selective neural stimulation. European Journal of Translational Myology, 26(3). https://doi.org/10.4081/ejtm.2016.6060

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