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Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface

Here we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, na...

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主要な著者: Andrews, S., Palaniappan, R., Teoh, A., Chu Kiong, L.
フォーマット: 論文
言語:English
出版事項: 2008
主題:
T Technology (General)
オンライン･アクセス:http://eprints.um.edu.my/5153/1/Enhancing_P300_component_by_spectral_power_ratio_principal_components_for_a_single_trial_brain-computer_interface.pdf
http://eprints.um.edu.my/5153/
http://www.thescipub.com/abstract/10.3844/ajassp.2008.639.644
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id my.um.eprints.5153
record_format eprints
spelling my.um.eprints.51532014-12-21T09:04:42Z http://eprints.um.edu.my/5153/ Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface Andrews, S. Palaniappan, R. Teoh, A. Chu Kiong, L. T Technology (General) Here we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, namely spectral power ratio (SPR) and sandwich spectral power ratio (SSPR). We set out to assess the improved performances of our proposed methods, SPR and SSPR over standard PC selection methods like Kaiser and residual power for speller BCI design. Concluding, the P300 parameters extracted through our proposed SPR and SSPR methods showed improved detection of target characters in the speller BCI. 2008 Article PeerReviewed application/pdf en http://eprints.um.edu.my/5153/1/Enhancing_P300_component_by_spectral_power_ratio_principal_components_for_a_single_trial_brain-computer_interface.pdf Andrews, S. and Palaniappan, R. and Teoh, A. and Chu Kiong, L. (2008) Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface. American Journal of Applied Sciences, 5 (6). pp. 639-644. ISSN 1546-9239 http://www.thescipub.com/abstract/10.3844/ajassp.2008.639.644
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Andrews, S.
Palaniappan, R.
Teoh, A.
Chu Kiong, L.
Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface
description Here we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, namely spectral power ratio (SPR) and sandwich spectral power ratio (SSPR). We set out to assess the improved performances of our proposed methods, SPR and SSPR over standard PC selection methods like Kaiser and residual power for speller BCI design. Concluding, the P300 parameters extracted through our proposed SPR and SSPR methods showed improved detection of target characters in the speller BCI.
format Article
author Andrews, S.
Palaniappan, R.
Teoh, A.
Chu Kiong, L.
author_facet Andrews, S.
Palaniappan, R.
Teoh, A.
Chu Kiong, L.
author_sort Andrews, S.
title Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface
title_short Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface
title_full Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface
title_fullStr Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface
title_full_unstemmed Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface
title_sort enhancing p300 component by spectral power ratio principal components for a single trial brain-computer interface
publishDate 2008
url http://eprints.um.edu.my/5153/1/Enhancing_P300_component_by_spectral_power_ratio_principal_components_for_a_single_trial_brain-computer_interface.pdf
http://eprints.um.edu.my/5153/
http://www.thescipub.com/abstract/10.3844/ajassp.2008.639.644
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score 13.251813

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