A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data

Sleep disturbances are common in Alzheimer’s disease and other neurodegenerative disorders, and together represent a potential therapeutic target for disease modification. A major barrier for studying sleep in patients with dementia is the requirement for overnight polysomnography (PSG) to achieve f...

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Egile Nagusiak:	Amelia A. Casciola, Sebastiano K. Carlucci, Brianne A. Kent, Amanda M. Punch, Michael A. Muszynski, Daniel Zhou, Alireza Kazemi, Maryam S. Mirian, Jason Valerio, Martin J. McKeown, Haakon B. Nygaard
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2021-05-01
Saila:	Sensors
Gaiak:	deep learning EEG headband sleep staging machine learning neurodegenerative disease sleep
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/21/10/3316
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