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Novel Features for Brain-Computer Interfaces

While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current featur...

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Detalles Bibliográficos
Autores principales: Woon, W. L., Cichocki, A.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267903/
https://www.ncbi.nlm.nih.gov/pubmed/18364991
http://dx.doi.org/10.1155/2007/82827
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author Woon, W. L.
Cichocki, A.
author_facet Woon, W. L.
Cichocki, A.
author_sort Woon, W. L.
collection PubMed
description While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques.
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spelling pubmed-22679032008-03-24 Novel Features for Brain-Computer Interfaces Woon, W. L. Cichocki, A. Comput Intell Neurosci Research Article While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques. Hindawi Publishing Corporation 2007 2007-08-05 /pmc/articles/PMC2267903/ /pubmed/18364991 http://dx.doi.org/10.1155/2007/82827 Text en Copyright © 2007 W. L. Woon and A. Cichocki. 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
Woon, W. L.
Cichocki, A.
Novel Features for Brain-Computer Interfaces
title Novel Features for Brain-Computer Interfaces
title_full Novel Features for Brain-Computer Interfaces
title_fullStr Novel Features for Brain-Computer Interfaces
title_full_unstemmed Novel Features for Brain-Computer Interfaces
title_short Novel Features for Brain-Computer Interfaces
title_sort novel features for brain-computer interfaces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267903/
https://www.ncbi.nlm.nih.gov/pubmed/18364991
http://dx.doi.org/10.1155/2007/82827
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