title: Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation.
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.
authors.affiliation: INRIA-LIRMM - Université de Montpellier, Campus Saint Priest - Montpellier , France.
authors.forename: Mélissa
authors.initials: M
authors.lastname: Dali
authors.affiliation: INRIA-LIRMM - Université de Montpellier, Campus Saint Priest - Montpellier , France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Rossel
authors.affiliation: INRIA-LIRMM - Université de Montpellier, Campus Saint Priest - Montpellier , France.
authors.forename: David
authors.initials: D
authors.lastname: Guiraud
keywords: cuff electrode; quasi-static approximation; spatial selectivity