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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Dades bibliogràfiques
Publicat a:Front Neurosci
Autors principals: Malafeev, Alexander, Laptev, Dmitry, Bauer, Stefan, Omlin, Ximena, Wierzbicka, Aleksandra, Wichniak, Adam, Jernajczyk, Wojciech, Riener, Robert, Buhmann, Joachim, Achermann, Peter
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2018
Matèries:
Neuroscience
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6232272/
https://ncbi.nlm.nih.gov/pubmed/30459544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00781
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