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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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-05-01
Edice:	Sensors
Témata:	deep learning EEG headband sleep staging machine learning neurodegenerative disease sleep
On-line přístup:	https://www.mdpi.com/1424-8220/21/10/3316
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