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...

Descripción completa

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

Internet

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

Ejemplares similares