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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Bibliografske podrobnosti
izdano v: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
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2019
Teme:
Big Data Approaches to Sleep and Circadian Science
Online dostop: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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