Proceedings of the Korean Information Science Society Conference (한국정보과학회:학술대회논문집)
- 2003.04c
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- Pages.193-195
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- 2003
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- 1598-5164(pISSN)
Automatic P300 Detection using ICA with Reference
Reference를 갖는 ICA를 이용한 자동적 P300 검출
- Park, Heeyoul (Dept of Computer Science and Engineering, POSTECH) ;
- Park, Seungjin (Dept of Computer Science and Engineering, POSTECH)
- Published : 2003.04.01
Abstract
The analysis of EEG data is an important task in the domain of Brain Computer Interface (BCI). In general, this task is extremely difficult because EEG data is very noisy and contains many artifacts and consists of mixtures of several brain waves. The P300 component of the evoked potential is a relatively evident signal which has a large positive wave that occurs around 300 msec after a task-relevant stimulus. Thus automatic detection of P300 is useful in BCI. To this end, in this paper we employ a method of reference-based independent component analysis (ICA) which overcomes the ordering ambiguity in the conventional ICA. We show here. that ICA incorporating with prior knowledge is useful in the task of automatic P300 detection.
Keywords