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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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Detaylı Bibliyografya
Yayımlandı:J Am Med Inform Assoc
Asıl Yazarlar: Biswal, Siddharth, Sun, Haoqi, Goparaju, Balaji, Westover, M Brandon, Sun, Jimeng, Bianchi, Matt T
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2018
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6289549/
https://ncbi.nlm.nih.gov/pubmed/30445569
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy131
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