Based on multiscale permutation entropy analysis dynamic characteristics of EEG recordings

Abstract

In this study, a novel feature extraction called entropy is proposed for evaluating the dynamic characteristics of electroencephalogram(EEG). Meanwhile, the linear discriminant analysis(LDA) is used in the classification of EEG signals. The entropy values are calculated using the multiscale permutation entropy (MPE) method, in order to evaluate their… (More)

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