Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
About this item
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Author / Creator
Stephansen, Jens B. , Olesen, Alexander N. , Olsen, Mads , Ambati, Aditya , Leary, Eileen B. , Moore, Hyatt E. , Carrillo, Oscar , Lin, Ling , Han, Fang , Yan, Han , Sun, Yun L. , Dauvilliers, Yves , Scholz, Sabine , Barateau, Lucie , Hogl, Birgit , Stefani, Ambra , Hong, Seung Chul , Kim, Tae Won , Pizza, Fabio , Plazzi, Giuseppe , Vandi, Stefano , Antelmi, Elena , Perrin, Dimitri , Kuna, Samuel T. , Schweitzer, Paula K. , Kushida, Clete , Peppard, Paul E. , Sorensen, Helge B. D. , Jennum, Poul and Mignot, Emmanuel
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technicians. Here, we used neural networks in approximately 3,000 normal and abnormal sleep recordings to automate sleep stage scoring, producing a hypnodensity graph—a probability...
Alternative Titles
Full title
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
Authors, Artists and Contributors
Author / Creator
Olesen, Alexander N.
Olsen, Mads
Ambati, Aditya
Leary, Eileen B.
Moore, Hyatt E.
Carrillo, Oscar
Lin, Ling
Han, Fang
Yan, Han
Sun, Yun L.
Dauvilliers, Yves
Scholz, Sabine
Barateau, Lucie
Hogl, Birgit
Stefani, Ambra
Hong, Seung Chul
Kim, Tae Won
Pizza, Fabio
Plazzi, Giuseppe
Vandi, Stefano
Antelmi, Elena
Perrin, Dimitri
Kuna, Samuel T.
Schweitzer, Paula K.
Kushida, Clete
Peppard, Paul E.
Sorensen, Helge B. D.
Jennum, Poul
Mignot, Emmanuel
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_41bccb5b13f7400780258cc22467964a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_41bccb5b13f7400780258cc22467964a
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-018-07229-3
