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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PAGEPress Publications, Pavia, Italy
2016
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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. |
format | Online Article Text |
id | pubmed-5128964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PAGEPress Publications, Pavia, Italy |
record_format | MEDLINE/PubMed |
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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