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Expert-level sleep scoring with deep neural networks

OBJECTIVES: Scoring laboratory polysomnography (PSG) data remains a manual task of visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb movements. Attempts to automate this process have been hampered by the complexity of PSG signals and physiological heterogen...

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Detalles Bibliográficos
Autores principales:	Biswal, Siddharth, Sun, Haoqi, Goparaju, Balaji, Westover, M Brandon, Sun, Jimeng, Bianchi, Matt T
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2018
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289549/ https://www.ncbi.nlm.nih.gov/pubmed/30445569 http://dx.doi.org/10.1093/jamia/ocy131

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