DocumentCode
2777662
Title
P300 Detection for Brain-Computer Interface from Electroencephalogram Contaminated by Electrooculogram
Author
Sakai, Motoki ; Ishita, Hiroyuki ; Ohshiba, Yuuki ; Chen, Wenxi ; Wei, Daining
Author_Institution
The University of Aizu, Japan
fYear
2006
fDate
Sept. 2006
Firstpage
256
Lastpage
256
Abstract
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
Keywords
Brain computer interfaces; Calibration; Computer science; Electroencephalography; Electrooculography; Enterprise resource planning; Independent component analysis; Keyboards; Pollution measurement; Principal component analysis; BCI; EOG detection; ERP; Normalized averaging method; P300; Transformation; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2006. CIT '06. The Sixth IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
0-7695-2687-X
Type
conf
DOI
10.1109/CIT.2006.137
Filename
4020017
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