Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy

B. Stephansen, Jens; N. Olesen, Alexander; Olsen, Mads; Ambati, Aditya; B. Leary, Eileen; E. Moore, Hyatt; Carrillo, Oscar; Lin, Ling; Han, Fang; Yan, Han; L. Sun, Yun; Dauvilliers, Yves; Scholz, Sabine; Barateau, Lucie; Hogl, Birgit; Stefani, Ambra; Chul Hong, Seung; Won Kim, Tae; Pizza, Fabio; Plazzi, Giuseppe; Vandi, Stefano; Antelmi, Elena; Perrin, Dimitri; T. Kuna, Samuel; K. Schweitzer, Paula; Kushida, Clete; E. Peppard, Paul; B. D. Sorensen, Helge; Jennum, Poul; Mignot, Emmanuel

doi:10.1038/s41467-018-07229-3

Public

Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy

Shared by NobleBlocks on Dec 6, 2018 • 12:00 AM UTC

Authors:

Jens B. Stephansen

Alexander N. Olesen

Mads Olsen

Abstract

Abstract 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 ...

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