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W2078760800 abstract "To identify subjects by classifying motor imagery EEG signal. Second-order blind identification (SOBI), a blind source separation (BSS) algorithm was applied to preprocess EEG data in for higher signal-to-noise ratio. Subsequently, Fisher distance was used to extract features. Finally, classification of extracted features was performed by back-propagation neural networks. Four types motor imagery EEG of three subjects was classified respectively. The results showed that the average classification accuracy achieved over 80%, and the highest was 88.1% on tongue movement imagery EEG." @default.
W2078760800 created "2016-06-24" @default.
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W2078760800 date "2010-04-01" @default.
W2078760800 modified "2023-10-16" @default.
W2078760800 title "Identification of Motor Imagery EEG Signal" @default.
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W2078760800 doi "https://doi.org/10.1109/icbecs.2010.5462405" @default.
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