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NMF for Motor Imagery EEG Classification
이혜경(Hyekyoung Lee),Andrezej Cichocki,최승진(Seungjin Choi) 한국정보과학회 2006 한국정보과학회 학술발표논문집 Vol.33 No.1
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.