한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (B)
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- Pages.34-36
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- 2006
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- 1598-5164(pISSN)
NMF를 이용한 Motor Imagery 뇌파 분류
NMF for Motor Imagery EEG Classification
- Lee Hye-Kyoung (POSTECH Dept. of computer science and engineering) ;
- Cichocki Andrezej (POSTECH Dept. of computer science and engineering) ;
- Choi Seung-Jin (POSTECH Dept. of computer science and engineering)
- 발행 : 2006.06.01
초록
In this paper we present a method of feature extraction for motor imagery single trial EEG classification, where we exploit nonnegative matrix factorization (NMF) to select discriminative features in the time-frequency representation of EEG. Experimental results with motor Imagery EEG data in BCI competition 2003. show that the method indeed finds meaningful EEG features automatically, while some existing methods should undergo cross-validation to find them.
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