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

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