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Conference Paper: A P300-speller based on event-related spectral perturbation (ERSP)

TitleA P300-speller based on event-related spectral perturbation (ERSP)
Authors
KeywordsBrain-computer interface
Event-related potentials
Event-related spectral perturbation
Inter-trial coherence
P300
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540
Citation
The 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012), Hong Kong, 12-15 August 2012. In IEEE ICSPCC Proceedings, 2012, p. 63-66 How to Cite?
AbstractA brain-computer interface (BCI) P300 speller is a novel technique that helps people spell words using the electroencephalography (EEG) without the involvement of muscle activities. However, only time domain ERP features (P300) are used for controlling of the BCI speller. In this paper, we investigated the time-frequency EEG features for the P300-based brain-computer interface speller. A signal preprocessing method integrated ensemble average, principal component analysis, and independent component analysis to remove noise and artifacts in the EEG data. A time-frequency analysis based on wavelet transform was carried out to extract event-related spectral perturbation (ERSP) and inter-trial coherence (ITC) features. Results showed that the proposed signal processing method can effectively extract EEG time-frequency features in the P300 speller, suggesting that ERSP and ITC may be useful for improving the performance of BCI P300 speller. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/181779
ISBN

 

DC FieldValueLanguage
dc.contributor.authorMing, Den_US
dc.contributor.authorAn, Xen_US
dc.contributor.authorWan, Ben_US
dc.contributor.authorQi, Hen_US
dc.contributor.authorZhang, Zen_US
dc.contributor.authorHu, Yen_US
dc.date.accessioned2013-03-19T03:57:09Z-
dc.date.available2013-03-19T03:57:09Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012), Hong Kong, 12-15 August 2012. In IEEE ICSPCC Proceedings, 2012, p. 63-66en_US
dc.identifier.isbn978-1-4673-2193-8-
dc.identifier.urihttp://hdl.handle.net/10722/181779-
dc.description.abstractA brain-computer interface (BCI) P300 speller is a novel technique that helps people spell words using the electroencephalography (EEG) without the involvement of muscle activities. However, only time domain ERP features (P300) are used for controlling of the BCI speller. In this paper, we investigated the time-frequency EEG features for the P300-based brain-computer interface speller. A signal preprocessing method integrated ensemble average, principal component analysis, and independent component analysis to remove noise and artifacts in the EEG data. A time-frequency analysis based on wavelet transform was carried out to extract event-related spectral perturbation (ERSP) and inter-trial coherence (ITC) features. Results showed that the proposed signal processing method can effectively extract EEG time-frequency features in the P300 speller, suggesting that ERSP and ITC may be useful for improving the performance of BCI P300 speller. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540-
dc.relation.ispartofIEEE International Conference on Signal Processing, Communications and Computing Proceedingsen_US
dc.rightsIEEE International Conference on Signal Processing, Communications and Computing Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectBrain-computer interface-
dc.subjectEvent-related potentials-
dc.subjectEvent-related spectral perturbation-
dc.subjectInter-trial coherence-
dc.subjectP300-
dc.titleA P300-speller based on event-related spectral perturbation (ERSP)en_US
dc.typeConference_Paperen_US
dc.identifier.emailZhang, Z: zgzhang@eee.hku.hken_US
dc.identifier.emailHu, Y: yhud@hku.hken_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.description.naturepublished_or_final_version-
dc.identifier.scopuseid_2-s2.0-84869450218-
dc.identifier.hkuros213619en_US
dc.identifier.spage63en_US
dc.identifier.epage66en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130418-

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