A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface

Functional Electrical Stimulation (FES) provides a neuroprosthetic interface to non-recovered muscle groups by stimulating the affected region of the human body. FES in combination with Brain-machine interfacing (BMI) has a wide scope in rehabilitation because this system directly links the cerebral...

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Detalles Bibliográficos
Autores principales: Bhattacharyya, Saugat, Clerc, Maureen, Hayashibe, Mitsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2016
Materias:
2016 IFESS Conference
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942716/
https://www.ncbi.nlm.nih.gov/pubmed/27478573
http://dx.doi.org/10.4081/ejtm.2016.6041
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author Bhattacharyya, Saugat
Clerc, Maureen
Hayashibe, Mitsuhiro
author_facet Bhattacharyya, Saugat
Clerc, Maureen
Hayashibe, Mitsuhiro
author_sort Bhattacharyya, Saugat
collection PubMed
description Functional Electrical Stimulation (FES) provides a neuroprosthetic interface to non-recovered muscle groups by stimulating the affected region of the human body. FES in combination with Brain-machine interfacing (BMI) has a wide scope in rehabilitation because this system directly links the cerebral motor intention of the users with its corresponding peripheral muscle activations. In this paper, we examine the effect of FES on the electroencephalography (EEG) during motor imagery (left- and right-hand movement) training of the users. Results suggest a significant improvement in the classification accuracy when the subject was induced with FES stimuli as compared to the standard visual one.
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spelling pubmed-49427162016-07-29 A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface Bhattacharyya, Saugat Clerc, Maureen Hayashibe, Mitsuhiro Eur J Transl Myol 2016 IFESS Conference Functional Electrical Stimulation (FES) provides a neuroprosthetic interface to non-recovered muscle groups by stimulating the affected region of the human body. FES in combination with Brain-machine interfacing (BMI) has a wide scope in rehabilitation because this system directly links the cerebral motor intention of the users with its corresponding peripheral muscle activations. In this paper, we examine the effect of FES on the electroencephalography (EEG) during motor imagery (left- and right-hand movement) training of the users. Results suggest a significant improvement in the classification accuracy when the subject was induced with FES stimuli as compared to the standard visual one. PAGEPress Publications, Pavia, Italy 2016-06-13 /pmc/articles/PMC4942716/ /pubmed/27478573 http://dx.doi.org/10.4081/ejtm.2016.6041 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
Bhattacharyya, Saugat
Clerc, Maureen
Hayashibe, Mitsuhiro
A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface
title A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface
title_full A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface
title_fullStr A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface
title_full_unstemmed A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface
title_short A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface
title_sort study on the effect of electrical stimulation as a user stimuli for motor imagery classification in brain-machine interface
topic 2016 IFESS Conference
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942716/
https://www.ncbi.nlm.nih.gov/pubmed/27478573
http://dx.doi.org/10.4081/ejtm.2016.6041
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