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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...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
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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. |
format | Text |
id | pubmed-2267903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT woonwl novelfeaturesforbraincomputerinterfaces AT cichockia novelfeaturesforbraincomputerinterfaces |