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Conference Paper: Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface

TitleSingle-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface
Authors
KeywordsMedical sciences
Computer applications
Issue Date2013
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269
Citation
The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 3-7 July 2013. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2013, p. 2882-2885 How to Cite?
AbstractEvent-related potentials (ERPs) are widely used in brain-computer interface (BCI) systems as input signals conveying a subject's intention. A fast and reliable single-trial ERP detection method can be used to develop a BCI system with both high speed and high accuracy. However, most of single-trial ERP detection methods are developed for offline EEG analysis and thus have a high computational complexity and need manual operations. Therefore, they are not applicable to practical BCI systems, which require a low-complexity and automatic ERP detection method. This work presents a joint spatial-time-frequency filter that combines common spatial patterns (CSP) and wavelet filtering (WF) for improving the signal-to-noise (SNR) of visual evoked potentials (VEP), which can lead to a single-trial ERP-based BCI.
Persistent Identifierhttp://hdl.handle.net/10722/189879
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorTu, Yen_US
dc.contributor.authorHuang, Gen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorHu, Len_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorZhang, Zen_US
dc.date.accessioned2013-09-17T15:01:04Z-
dc.date.available2013-09-17T15:01:04Z-
dc.date.issued2013en_US
dc.identifier.citationThe 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 3-7 July 2013. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2013, p. 2882-2885en_US
dc.identifier.isbn978-1-4577-0216-7-
dc.identifier.issn1557-170X-
dc.identifier.urihttp://hdl.handle.net/10722/189879-
dc.description.abstractEvent-related potentials (ERPs) are widely used in brain-computer interface (BCI) systems as input signals conveying a subject's intention. A fast and reliable single-trial ERP detection method can be used to develop a BCI system with both high speed and high accuracy. However, most of single-trial ERP detection methods are developed for offline EEG analysis and thus have a high computational complexity and need manual operations. Therefore, they are not applicable to practical BCI systems, which require a low-complexity and automatic ERP detection method. This work presents a joint spatial-time-frequency filter that combines common spatial patterns (CSP) and wavelet filtering (WF) for improving the signal-to-noise (SNR) of visual evoked potentials (VEP), which can lead to a single-trial ERP-based BCI.-
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269-
dc.relation.ispartofIEEE Engineering in Medicine and Biology Society Conference Proceedingsen_US
dc.rightsIEEE Engineering in Medicine and Biology Society. Conference Proceedings. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2013 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.subjectMedical sciences-
dc.subjectComputer applications-
dc.titleSingle-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interfaceen_US
dc.typeConference_Paperen_US
dc.identifier.emailHuang, G: huanggan@hku.hken_US
dc.identifier.emailHung, YS: yshung@eee.hku.hken_US
dc.identifier.emailHu, Y: yhud@hku.hken_US
dc.identifier.emailZhang, Z: zgzhang@eee.hku.hken_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/EMBC.2013.6610142-
dc.identifier.pmid24110329-
dc.identifier.hkuros223283en_US
dc.identifier.spage2882-
dc.identifier.epage2885-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 131024-

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