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Automatic Human Sleep Stage Scoring Using Deep Neural Networks

The classification of sleep stages is the first and an important step in the quantitative analysis of polysomnographic recordings. Sleep stage scoring relies heavily on visual pattern recognition by a human expert and is time consuming and subjective. Thus, there is a need for automatic classificati...

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Detalles Bibliográficos
Main Authors: Alexander Malafeev, Dmitry Laptev, Stefan Bauer, Ximena Omlin, Aleksandra Wierzbicka, Adam Wichniak, Wojciech Jernajczyk, Robert Riener, Joachim Buhmann, Peter Achermann
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroscience
Assuntos:
EEG
Acceso en liña:https://www.frontiersin.org/article/10.3389/fnins.2018.00781/full
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