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Article: Method of electrooculogram artifacts elimination in electroencephalogram

TitleMethod of electrooculogram artifacts elimination in electroencephalogram
Authors
Liu, MWang, JWei, NYan, NZheng, C
KeywordsElectroencephalogram
Electrooculogram
Independent Component Analysis
Wavelet Packet
Issue Date2004
Citation
Hsi-An Chiao Tung Ta Hsueh/Journal Of Xi'an Jiaotong University, 2004, v. 38 n. 12, p. 1306-1309 How to Cite?
AbstractBased on the wavelet packet analysis, a novel method is proposed to eliminate electrooculogram (EOG)-artifact from electroencephalogram (EEG). It consists of three steps: (1) EEG decomposing based on wavelet packet; (2) EOG detection and elimination from low-frequency wavelet components; (3) Reconstruction of EEG signals using FP1 signals as reference. Ninety sets of EEG from ten subjects were processed and the results were compared with the other four conventional methods. The results show that this method is more effective on EOG artifacts elimination and the processing rate is 2-3 times faster than that of the independent component analysis (ICA)-based method.
Persistent Identifierhttp://hdl.handle.net/10722/175282
ISSN
0253-987X
2020 SCImago Journal Rankings: 0.202
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLiu, Men_US
dc.contributor.authorWang, Jen_US
dc.contributor.authorWei, Nen_US
dc.contributor.authorYan, Nen_US
dc.contributor.authorZheng, Cen_US
dc.date.accessioned2012-11-26T08:57:57Z-
dc.date.available2012-11-26T08:57:57Z-
dc.date.issued2004en_US
dc.identifier.citationHsi-An Chiao Tung Ta Hsueh/Journal Of Xi'an Jiaotong University, 2004, v. 38 n. 12, p. 1306-1309en_US
dc.identifier.issn0253-987Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/175282-
dc.description.abstractBased on the wavelet packet analysis, a novel method is proposed to eliminate electrooculogram (EOG)-artifact from electroencephalogram (EEG). It consists of three steps: (1) EEG decomposing based on wavelet packet; (2) EOG detection and elimination from low-frequency wavelet components; (3) Reconstruction of EEG signals using FP1 signals as reference. Ninety sets of EEG from ten subjects were processed and the results were compared with the other four conventional methods. The results show that this method is more effective on EOG artifacts elimination and the processing rate is 2-3 times faster than that of the independent component analysis (ICA)-based method.en_US
dc.languageengen_US
dc.relation.ispartofHsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong Universityen_US
dc.subjectElectroencephalogramen_US
dc.subjectElectrooculogramen_US
dc.subjectIndependent Component Analysisen_US
dc.subjectWavelet Packeten_US
dc.titleMethod of electrooculogram artifacts elimination in electroencephalogramen_US
dc.typeArticleen_US
dc.identifier.emailYan, N: nyan@hku.hken_US
dc.identifier.authorityYan, N=rp00978en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-12844251200en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-12844251200&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume38en_US
dc.identifier.issue12en_US
dc.identifier.spage1306en_US
dc.identifier.epage1309en_US
dc.identifier.scopusauthoridLiu, M=22835742800en_US
dc.identifier.scopusauthoridWang, J=23991822700en_US
dc.identifier.scopusauthoridWei, N=55108058000en_US
dc.identifier.scopusauthoridYan, N=7102919410en_US
dc.identifier.scopusauthoridZheng, C=7401934920en_US
dc.identifier.issnl0253-987X-

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