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Conference Paper: A novel approach for extracting nociceptive-related time-frequency features in event-related potentials

TitleA novel approach for extracting nociceptive-related time-frequency features in event-related potentials
Authors
Issue Date2012
PublisherSpringer-Verlag Berlin Heidelberg.
Citation
The 2nd International Congress on Computer Applications and Computational Science (CACS 2011), Bali, Indonesia, 15-17 November 2011. In Advances in Intelligent and Soft Computing, v. 145, p. 1-6 How to Cite?
AbstractIn the present study, we are mainly objective to develop a novel approach to extract nociceptive-related features in the time-frequency domain from the event-related potentials (ERPs) that were recorded using high-density EEG. First, the independent component analysis (ICA) was used to separate single-trial ERPs into a set of independent components (ICs), which were then clustered into three groups (symmetrically distributed ICs, non-symmetrically distributed ICs, and noise-related ICs). Second, the time-frequency distributions of each clustered group were calculated using continuous wavelet transform (CWT). Third, the principal component analysis (PCA) with varimax rotation was used to extract time-frequency features from all single-trial time-frequency distributions across all channels. Altogether, the developed approach would help effectively extracting nociceptive-related time-frequency features, thus yielding to an important contribution to the study of nociceptive-specific neural activities. © 2012 Springer-Verlag GmbH.
DescriptionThis series vol. is Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, v. 2
Persistent Identifierhttp://hdl.handle.net/10722/160363
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Len_HK
dc.contributor.authorPeng, Wen_HK
dc.contributor.authorHu, Yen_HK
dc.date.accessioned2012-08-16T06:09:05Z-
dc.date.available2012-08-16T06:09:05Z-
dc.date.issued2012en_HK
dc.identifier.citationThe 2nd International Congress on Computer Applications and Computational Science (CACS 2011), Bali, Indonesia, 15-17 November 2011. In Advances in Intelligent and Soft Computing, v. 145, p. 1-6en_US
dc.identifier.isbn978-3-642-28307-9-
dc.identifier.urihttp://hdl.handle.net/10722/160363-
dc.descriptionThis series vol. is Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, v. 2-
dc.description.abstractIn the present study, we are mainly objective to develop a novel approach to extract nociceptive-related features in the time-frequency domain from the event-related potentials (ERPs) that were recorded using high-density EEG. First, the independent component analysis (ICA) was used to separate single-trial ERPs into a set of independent components (ICs), which were then clustered into three groups (symmetrically distributed ICs, non-symmetrically distributed ICs, and noise-related ICs). Second, the time-frequency distributions of each clustered group were calculated using continuous wavelet transform (CWT). Third, the principal component analysis (PCA) with varimax rotation was used to extract time-frequency features from all single-trial time-frequency distributions across all channels. Altogether, the developed approach would help effectively extracting nociceptive-related time-frequency features, thus yielding to an important contribution to the study of nociceptive-specific neural activities. © 2012 Springer-Verlag GmbH.en_HK
dc.languageengen_US
dc.publisherSpringer-Verlag Berlin Heidelberg.-
dc.relation.ispartofAdvances in Intelligent and Soft Computingen_HK
dc.titleA novel approach for extracting nociceptive-related time-frequency features in event-related potentialsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHu, L: hulitju@hku.hken_HK
dc.identifier.emailPeng, W: pengwei9@hku.hk-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-28308-6_1en_HK
dc.identifier.scopuseid_2-s2.0-84862904643en_HK
dc.identifier.hkuros202395en_US
dc.identifier.hkuros215231-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84862904643&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume145en_HK
dc.identifier.spage1en_HK
dc.identifier.epage6en_HK
dc.publisher.placeGermany-
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridPeng, W=55263675100en_HK
dc.identifier.scopusauthoridHu, L=55233630700en_HK
dc.customcontrol.immutablesml 130731-

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