We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis.
This study reports the results of complexity analysis of sleep EEG in a group of healthy men. The comparison between these results and those of traditional R&K ...
We explore a complementary “complexity domain” approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard ...
We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis.
(PDF) Analysis of the sleep EEG in the complexity domain ...
www.academia.edu › Analysis_of_the_sl...
We explore a complementary “complexity domain” approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard ...
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Abstract—Automatic sleep stage classification is an important paradigm in computational intelligence and promises consider-.
The aim of this study is to investigate the relation between EEG complexity and sleep macro- and microstructure in normal sleep. The complexity of EEG segments ...
We review several methodological issues related to 1) spectral analysis, 2) montage choice, 3) extraction of phase and amplitude information, 4) surrogate ...
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient's neurophysiological signals collected at sleep labs.
Computes "complexity" profiles from sleep EEG using Multiscale Entropy This tool calculates the Complexity Index (sum of the first 5 scales of Multiscale ...