A Review of Methods for Sleep Arousal Detection Using Polysomnographic Signals

A Review of Methods for Sleep Arousal Detection Using Polysomnographic Signals

Multiple types of sleep arousal account for a large proportion of the causes of sleep disorders. The detection of sleep arousals is very important for diagnosing sleep disorders and reducing the risk of further complications including heart disease and cognitive impairment. Sleep arousal scoring is...

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Bibliographic Details
Main Authors: Xiangyu Qian, Ye Qiu, Qingzu He, Yuer Lu, Hai Lin, Fei Xu, Fangfang Zhu, Zhilong Liu, Xiang Li, Yuping Cao, Jianwei Shuai
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Brain Sciences
Subjects:
sleep arousal
polysomnography (PSG)
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-3425/11/10/1274

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