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Article: Method of electrooculogram artifacts elimination in electroencephalogram
Title | Method of electrooculogram artifacts elimination in electroencephalogram |
---|---|
Authors | |
Keywords | Electroencephalogram Electrooculogram Independent Component Analysis Wavelet Packet |
Issue Date | 2004 |
Citation | Hsi-An Chiao Tung Ta Hsueh/Journal Of Xi'an Jiaotong University, 2004, v. 38 n. 12, p. 1306-1309 How to Cite? |
Abstract | Based 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 Identifier | http://hdl.handle.net/10722/175282 |
ISSN | 2023 SCImago Journal Rankings: 0.253 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, M | en_US |
dc.contributor.author | Wang, J | en_US |
dc.contributor.author | Wei, N | en_US |
dc.contributor.author | Yan, N | en_US |
dc.contributor.author | Zheng, C | en_US |
dc.date.accessioned | 2012-11-26T08:57:57Z | - |
dc.date.available | 2012-11-26T08:57:57Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Hsi-An Chiao Tung Ta Hsueh/Journal Of Xi'an Jiaotong University, 2004, v. 38 n. 12, p. 1306-1309 | en_US |
dc.identifier.issn | 0253-987X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/175282 | - |
dc.description.abstract | Based 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.language | eng | en_US |
dc.relation.ispartof | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | en_US |
dc.subject | Electroencephalogram | en_US |
dc.subject | Electrooculogram | en_US |
dc.subject | Independent Component Analysis | en_US |
dc.subject | Wavelet Packet | en_US |
dc.title | Method of electrooculogram artifacts elimination in electroencephalogram | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yan, N: nyan@hku.hk | en_US |
dc.identifier.authority | Yan, N=rp00978 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-12844251200 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-12844251200&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.spage | 1306 | en_US |
dc.identifier.epage | 1309 | en_US |
dc.identifier.scopusauthorid | Liu, M=22835742800 | en_US |
dc.identifier.scopusauthorid | Wang, J=23991822700 | en_US |
dc.identifier.scopusauthorid | Wei, N=55108058000 | en_US |
dc.identifier.scopusauthorid | Yan, N=7102919410 | en_US |
dc.identifier.scopusauthorid | Zheng, C=7401934920 | en_US |
dc.identifier.issnl | 0253-987X | - |