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View all- Wang W(2024)Modeling the two-dimensional variations in EEG signals to analyze the impact of music on sleep statesAlexandria Engineering Journal10.1016/j.aej.2024.09.053108(1-10)Online publication date: Dec-2024
Alterations in transients during awake, slow wave sleep (SWS), and rapid eye movement (REM) sleep stages due to an exposure to high environmental heat have been studied using continuous wavelet transform (CWT) method and artificial neural network (ANN). ...
Inter-hemispheric sleep EEG coherence is studied in 10 subjects with psycho physiological insomnia, in 10 with paradoxical insomnia, and in 10 matched controls through different states of the sleep/wakefulness cycle. Inter hemispheric EEG coherence ...
Objective: We developed a probabilistic continuous sleep stager based on Hidden Markov models using only a single EEG signal. It offers the advantage of being objective by not relying on human scorers, having much finer temporal resolution (1s instead ...
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