Analysis of the sleep EEG in the complexity domain

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

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

Ata de Conferência Internacional

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

Páginas: 6429-6432

Indexação

Scopus - 5 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica