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Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation

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 mul...

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Detalles Bibliográficos
Autores principales: Dali, Mélissa, Rossel, Olivier, Guiraud, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128964/
https://www.ncbi.nlm.nih.gov/pubmed/27990231
http://dx.doi.org/10.4081/ejtm.2016.6060
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author Dali, Mélissa
Rossel, Olivier
Guiraud, David
author_facet Dali, Mélissa
Rossel, Olivier
Guiraud, David
author_sort Dali, Mélissa
collection PubMed
description 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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spelling pubmed-51289642016-12-16 Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation Dali, Mélissa Rossel, Olivier Guiraud, David Eur J Transl Myol 2016 IFESS Conference 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. PAGEPress Publications, Pavia, Italy 2016-09-13 /pmc/articles/PMC5128964/ /pubmed/27990231 http://dx.doi.org/10.4081/ejtm.2016.6060 Text en http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle 2016 IFESS Conference
Dali, Mélissa
Rossel, Olivier
Guiraud, David
Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation
title Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation
title_full Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation
title_fullStr Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation
title_full_unstemmed Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation
title_short Fast Simulation and Optimization Tool to Explore Selective Neural Stimulation
title_sort fast simulation and optimization tool to explore selective neural stimulation
topic 2016 IFESS Conference
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128964/
https://www.ncbi.nlm.nih.gov/pubmed/27990231
http://dx.doi.org/10.4081/ejtm.2016.6060
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