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
Autores principales: Malafeev, Alexander, Laptev, Dmitry, Bauer, Stefan, Omlin, Ximena, Wierzbicka, Aleksandra, Wichniak, Adam, Jernajczyk, Wojciech, Riener, Robert, Buhmann, Joachim, Achermann, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232272/
https://www.ncbi.nlm.nih.gov/pubmed/30459544
http://dx.doi.org/10.3389/fnins.2018.00781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232272/
https://www.ncbi.nlm.nih.gov/pubmed/30459544
http://dx.doi.org/10.3389/fnins.2018.00781

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