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Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm

We propose a new multistage procedure for a real-time brain-machine/computer interface (BCI). The developed system allows a BCI user to navigate a small car (or any other object) on the computer screen in real time, in any of the four directions, and to stop it if necessary. Extensive experiments wi...

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Detalles Bibliográficos
Autores principales: Martinez, Pablo, Bakardjian, Hovagim, Cichocki, Andrzej
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266836/
https://www.ncbi.nlm.nih.gov/pubmed/18354725
http://dx.doi.org/10.1155/2007/94561
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author Martinez, Pablo
Bakardjian, Hovagim
Cichocki, Andrzej
author_facet Martinez, Pablo
Bakardjian, Hovagim
Cichocki, Andrzej
author_sort Martinez, Pablo
collection PubMed
description We propose a new multistage procedure for a real-time brain-machine/computer interface (BCI). The developed system allows a BCI user to navigate a small car (or any other object) on the computer screen in real time, in any of the four directions, and to stop it if necessary. Extensive experiments with five young healthy subjects confirmed the high performance of the proposed online BCI system. The modular structure, high speed, and the optimal frequency band characteristics of the BCI platform are features which allow an extension to a substantially higher number of commands in the near future.
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spelling pubmed-22668362008-03-19 Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm Martinez, Pablo Bakardjian, Hovagim Cichocki, Andrzej Comput Intell Neurosci Research Article We propose a new multistage procedure for a real-time brain-machine/computer interface (BCI). The developed system allows a BCI user to navigate a small car (or any other object) on the computer screen in real time, in any of the four directions, and to stop it if necessary. Extensive experiments with five young healthy subjects confirmed the high performance of the proposed online BCI system. The modular structure, high speed, and the optimal frequency band characteristics of the BCI platform are features which allow an extension to a substantially higher number of commands in the near future. Hindawi Publishing Corporation 2007 2007-07-30 /pmc/articles/PMC2266836/ /pubmed/18354725 http://dx.doi.org/10.1155/2007/94561 Text en Copyright © 2007 Pablo Martinez et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Martinez, Pablo
Bakardjian, Hovagim
Cichocki, Andrzej
Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
title Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
title_full Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
title_fullStr Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
title_full_unstemmed Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
title_short Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm
title_sort fully online multicommand brain-computer interface with visual neurofeedback using ssvep paradigm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266836/
https://www.ncbi.nlm.nih.gov/pubmed/18354725
http://dx.doi.org/10.1155/2007/94561
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