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Conference Paper: Time-frequency coherence analysis of multi-channel event-related potential using adaptive windowed Lomb periodogram

TitleTime-frequency coherence analysis of multi-channel event-related potential using adaptive windowed Lomb periodogram
Authors
KeywordsElectroencephalography
Event-related potential
Lomb periodogram, coherence analysis
Issue Date2009
Citation
2009 4Th International Ieee/Embs Conference On Neural Engineering, Ner '09, 2009, p. 657-660 How to Cite?
AbstractThis paper introduces a new time-frequency coherence analysis method based on Lomb periodogram and applies it to investigate the time-varying synchronization of multi-channel event-related potentials (ERP). The Lomb periodogram is first extended to a time-frequency analysis method by windowing the observation. Furthermore, the window bandwidth is selected adaptively by the intersection of confidence intervals (ICI) rule to improve the time-frequency resolution. By using an adaptive window for each sinusoid and at each time instant, the adaptive windowed Lomb periodogram (AWLP) can achieve better bias and variance tradeoff and optimize the time-frequency resolution. Experimental results show that the AWLP-based coherence can provide useful information indicating the direction of information flow and correlation between different cortical regions. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/143324
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorCai, XLen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorHu, Yen_HK
dc.contributor.authorHu, Len_HK
dc.contributor.authorChang, CQen_HK
dc.date.accessioned2011-11-22T08:30:21Z-
dc.date.available2011-11-22T08:30:21Z-
dc.date.issued2009en_HK
dc.identifier.citation2009 4Th International Ieee/Embs Conference On Neural Engineering, Ner '09, 2009, p. 657-660en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143324-
dc.description.abstractThis paper introduces a new time-frequency coherence analysis method based on Lomb periodogram and applies it to investigate the time-varying synchronization of multi-channel event-related potentials (ERP). The Lomb periodogram is first extended to a time-frequency analysis method by windowing the observation. Furthermore, the window bandwidth is selected adaptively by the intersection of confidence intervals (ICI) rule to improve the time-frequency resolution. By using an adaptive window for each sinusoid and at each time instant, the adaptive windowed Lomb periodogram (AWLP) can achieve better bias and variance tradeoff and optimize the time-frequency resolution. Experimental results show that the AWLP-based coherence can provide useful information indicating the direction of information flow and correlation between different cortical regions. ©2009 IEEE.en_HK
dc.languageengen_US
dc.relation.ispartof2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09en_HK
dc.subjectElectroencephalographyen_HK
dc.subjectEvent-related potentialen_HK
dc.subjectLomb periodogram, coherence analysisen_HK
dc.titleTime-frequency coherence analysis of multi-channel event-related potential using adaptive windowed Lomb periodogramen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailZhang, ZG: zhangzg@hku.hken_HK
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_HK
dc.identifier.emailHu, Y: yhud@hku.hken_HK
dc.identifier.emailChang, CQ: cqchang@eee.hku.hken_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.identifier.authorityChang, CQ=rp00095en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/NER.2009.5109382en_HK
dc.identifier.scopuseid_2-s2.0-70350223734en_HK
dc.identifier.hkuros159406-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70350223734&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage657en_HK
dc.identifier.epage660en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK
dc.identifier.scopusauthoridCai, XL=8923610200en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridHu, L=7401557322en_HK
dc.identifier.scopusauthoridChang, CQ=7407033052en_HK

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