P300 Detection for Brain-Computer Interface from Electroencephalogram Contaminated by Electrooculogram

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Sixth IEEE International Conference on Computer and Information Technology (CIT'06)

Seoul, Korea

September 20-September 22

ISBN: 0-7695-2687-X

	ASCII Text	x
	Motoki Sakai, Hiroyuki Ishita, Yuuki Ohshiba, Wenxi Chen, Daining Wei, "P300 Detection for Brain-Computer Interface from Electroencephalogram Contaminated by Electrooculogram," Computer and Information Technology, International Conference on, pp. 256, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006.

	BibTex	x
	@article{ 10.1109/CIT.2006.137, author = {Motoki Sakai and Hiroyuki Ishita and Yuuki Ohshiba and Wenxi Chen and Daining Wei}, title = {P300 Detection for Brain-Computer Interface from Electroencephalogram Contaminated by Electrooculogram}, journal ={Computer and Information Technology, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2687-X}, pages = {256}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2006.137}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Information Technology, International Conference on TI - P300 Detection for Brain-Computer Interface from Electroencephalogram Contaminated by Electrooculogram SN - 0-7695-2687-X SP EP A1 - Motoki Sakai, A1 - Hiroyuki Ishita, A1 - Yuuki Ohshiba, A1 - Wenxi Chen, A1 - Daining Wei, PY - 2006 KW - ERP KW - P300 KW - EOG detection KW - Wavelet Transformation KW - Normalized averaging method KW - BCI VL - 0 JA - Computer and Information Technology, International Conference on ER -

Motoki Sakai, The University of Aizu, Japan

Hiroyuki Ishita, The University of Aizu, Japan

Yuuki Ohshiba, The University of Aizu, Japan

Wenxi Chen, The University of Aizu, Japan

Daining Wei, The University of Aizu, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2006.137

This paper proposed a method to eliminate EOG ortifact In order to delect P300 from measured EEG efectively. This method uahzed an algorithm based-upon wavelet transformation and normallzed averaging approach. It was verified using EEG collected from 6 healthy male students The result showed that it was possible to estimate P300 from recovered EEC data which was contaminated by EOC in each trial It suggested the effectzveness and possibzlity oj applying the P300 derived @om EEG data, even when it was contaminated by EOG during trzals

Index Terms:

ERP, P300, EOG detection, Wavelet Transformation, Normalized averaging method, BCI

Citation:

Motoki Sakai, Hiroyuki Ishita, Yuuki Ohshiba, Wenxi Chen, Daining Wei, "P300 Detection for Brain-Computer Interface from Electroencephalogram Contaminated by Electrooculogram," cit, pp.256, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006

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