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Accurate classifying EEG signals for imaginary left-right hand movements is a crucial issue in brain-computer interface (BCI) technology. Aiming to the nonstationarity and nonlinearity of electroencephalogram (EEG) signal, in this work, based on the analysis of EEG time-frequency characteristics by wavelet packet transform and EEG uncertainty analyzing by information entropy, and EEG features for...
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