Proceedings of the Korean Information Science Society Conference (한국정보과학회:학술대회논문집)
- 2006.06b
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- Pages.34-36
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- 2006
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- 1598-5164(pISSN)
NMF for Motor Imagery EEG Classification
NMF를 이용한 Motor Imagery 뇌파 분류
- 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)
- Published : 2006.06.01
Abstract
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.
Keywords