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Analysis of the sleep EEG in the complexity domain

par Mariani, Sara;Borges, Ana F T;Henriques, Teresa;Thomas, Robert Joseph;Leistedt, Samuel ;Linkowski, Paul ;Lanquart, Jean Pol ;Goldberger, Ary A.L.;Costa, Madalena Damásio
Référence Conference proceedings, 2016-October, page (6429-6432), 7592200
Publication Publié, 2016-10

Article révisé par les pairs

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Résumé :

Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assessed in concert with eye movements, respiration and muscle tone. We explore a complementary 'complexity domain' approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard sleep analysis and to that based on electrocardiogram (ECG)-derived cardiopulmonary coupling (CPC). We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis. Furthermore, complexity analysis supports the contention that stage 2 non-REM sleep has distinct sub-phases that map to CPC high- and low-frequency coupled dynamics.