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

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...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: 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
বিন্যাস: প্রবন্ধ
ভাষা:English
প্রকাশিত: MDPI AG 2021-05-01
মালা:Sensors
বিষয়গুলি:
deep learning
EEG headband
sleep staging
machine learning
neurodegenerative disease
sleep
অনলাইন ব্যবহার করুন:https://www.mdpi.com/1424-8220/21/10/3316

আন্তর্জাল

https://www.mdpi.com/1424-8220/21/10/3316

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