Sleep staging from electrocardiography and respiration with deep learning

STUDY OBJECTIVES: Sleep is reflected not only in the electroencephalogram but also in heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage sleep based on the electrocardiogram (ECG) and respiratory signals. METHODS: Using a dataset including 8682 polysomnogra...

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Detalhes bibliográficos
Publicado no:Sleep
Main Authors: Sun, Haoqi, Ganglberger, Wolfgang, Panneerselvam, Ezhil, Leone, Michael J, Quadri, Syed A, Goparaju, Balaji, Tesh, Ryan A, Akeju, Oluwaseun, Thomas, Robert J, Westover, M Brandon
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Big Data Approaches to Sleep and Circadian Science
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355395/
https://ncbi.nlm.nih.gov/pubmed/31863111
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/sleep/zsz306
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