Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy

The diagnosis of sleep disorders such as narcolepsy and insomnia currently requires experts to interpret sleep recordings (polysomnography). Here, the authors introduce a neural network analysis method for polysomnography that could reduce time spent in sleep clinics and automate narcolepsy diagnosi...

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Autores principales: Jens B. Stephansen, Alexander N. Olesen, Mads Olsen, Aditya Ambati, Eileen B. Leary, Hyatt E. Moore, Oscar Carrillo, Ling Lin, Fang Han, Han Yan, Yun L. Sun, Yves Dauvilliers, Sabine Scholz, Lucie Barateau, Birgit Hogl, Ambra Stefani, Seung Chul Hong, Tae Won Kim, Fabio Pizza, Giuseppe Plazzi, Stefano Vandi, Elena Antelmi, Dimitri Perrin, Samuel T. Kuna, Paula K. Schweitzer, Clete Kushida, Paul E. Peppard, Helge B. D. Sorensen, Poul Jennum, Emmanuel Mignot
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/41bccb5b13f7400780258cc22467964a
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spelling oai:doaj.org-article:41bccb5b13f7400780258cc22467964a2021-12-02T15:34:40ZNeural network analysis of sleep stages enables efficient diagnosis of narcolepsy10.1038/s41467-018-07229-32041-1723https://doaj.org/article/41bccb5b13f7400780258cc22467964a2018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07229-3https://doaj.org/toc/2041-1723The diagnosis of sleep disorders such as narcolepsy and insomnia currently requires experts to interpret sleep recordings (polysomnography). Here, the authors introduce a neural network analysis method for polysomnography that could reduce time spent in sleep clinics and automate narcolepsy diagnosis.Jens B. StephansenAlexander N. OlesenMads OlsenAditya AmbatiEileen B. LearyHyatt E. MooreOscar CarrilloLing LinFang HanHan YanYun L. SunYves DauvilliersSabine ScholzLucie BarateauBirgit HoglAmbra StefaniSeung Chul HongTae Won KimFabio PizzaGiuseppe PlazziStefano VandiElena AntelmiDimitri PerrinSamuel T. KunaPaula K. SchweitzerClete KushidaPaul E. PeppardHelge B. D. SorensenPoul JennumEmmanuel MignotNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-15 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Jens B. Stephansen
Alexander N. Olesen
Mads Olsen
Aditya Ambati
Eileen B. Leary
Hyatt E. Moore
Oscar Carrillo
Ling Lin
Fang Han
Han Yan
Yun L. Sun
Yves Dauvilliers
Sabine Scholz
Lucie Barateau
Birgit Hogl
Ambra Stefani
Seung Chul Hong
Tae Won Kim
Fabio Pizza
Giuseppe Plazzi
Stefano Vandi
Elena Antelmi
Dimitri Perrin
Samuel T. Kuna
Paula K. Schweitzer
Clete Kushida
Paul E. Peppard
Helge B. D. Sorensen
Poul Jennum
Emmanuel Mignot
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
description The diagnosis of sleep disorders such as narcolepsy and insomnia currently requires experts to interpret sleep recordings (polysomnography). Here, the authors introduce a neural network analysis method for polysomnography that could reduce time spent in sleep clinics and automate narcolepsy diagnosis.
format article
author Jens B. Stephansen
Alexander N. Olesen
Mads Olsen
Aditya Ambati
Eileen B. Leary
Hyatt E. Moore
Oscar Carrillo
Ling Lin
Fang Han
Han Yan
Yun L. Sun
Yves Dauvilliers
Sabine Scholz
Lucie Barateau
Birgit Hogl
Ambra Stefani
Seung Chul Hong
Tae Won Kim
Fabio Pizza
Giuseppe Plazzi
Stefano Vandi
Elena Antelmi
Dimitri Perrin
Samuel T. Kuna
Paula K. Schweitzer
Clete Kushida
Paul E. Peppard
Helge B. D. Sorensen
Poul Jennum
Emmanuel Mignot
author_facet Jens B. Stephansen
Alexander N. Olesen
Mads Olsen
Aditya Ambati
Eileen B. Leary
Hyatt E. Moore
Oscar Carrillo
Ling Lin
Fang Han
Han Yan
Yun L. Sun
Yves Dauvilliers
Sabine Scholz
Lucie Barateau
Birgit Hogl
Ambra Stefani
Seung Chul Hong
Tae Won Kim
Fabio Pizza
Giuseppe Plazzi
Stefano Vandi
Elena Antelmi
Dimitri Perrin
Samuel T. Kuna
Paula K. Schweitzer
Clete Kushida
Paul E. Peppard
Helge B. D. Sorensen
Poul Jennum
Emmanuel Mignot
author_sort Jens B. Stephansen
title Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
title_short Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
title_full Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
title_fullStr Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
title_full_unstemmed Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
title_sort neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/41bccb5b13f7400780258cc22467964a
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