Classification of sleep stages using multi-wavelet time frequency entropy and LDA
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Background: The process of automatic sleep stage scoring consists of two major parts: feature extraction and classification. Features are normally extracted from the polysomnographic recordings, mainly electroencephalograph (EEG)... ...
