Sleep staging from electrocardiography and respiration with deep learning
Sleep staging from electrocardiography and respiration with deep learning
About this item
Full title
Author / Creator
Publisher
US: Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
US: Oxford University Press
Subjects
More information
Scope and Contents
Contents
Abstract
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 polysomnograms, we develop deep neural netw...
Alternative Titles
Full title
Sleep staging from electrocardiography and respiration with deep learning
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7355395
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7355395
Other Identifiers
ISSN
0161-8105
E-ISSN
1550-9109
DOI
10.1093/sleep/zsz306
