Analysis of the sleep EEG in the complexity domain

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Mariani, S (Author) Other; Borges, AFT (Author) Other; Henriques, T (Author) Other; Thomas, RJ (Author) Other; Leistedt, SJ (Author) Other; Linkowski, P (Author) Other; Lanquart, JP (Author) Other; Goldberger, AL (Author) Other; Costa, MD (Author) Other

Conference proceedings International

Title: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016

Pages: 6429-6432

Indexing

Scopus - 5 Citations

Other information

Authenticus ID: P-00N-9Z7

DOI: 10.1109/embc.2016.7592200

Abstract (EN): 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. © 2016 IEEE.

Language: English

Type (Professor's evaluation): Scientific