Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification
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DOI: 10.1109/access.2022.3188286
Abstract: Sleep EEG signals analysis is an approach that helps researchers identify and understand the different phenomena concealed within sleep EEG data. This research introduces a time-frequency analysis approach to untangle the parameters of the sleep… read more here.
Keywords: sleep eeg; stages classification; eeg data; eeg ... See more keywords