Automatic Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning

Automatic Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning

Poor-quality sleep substantially diminishes the overall quality of life. It has been shown that sleep arousal serves as a good indicator for scoring sleep quality. However, patients are conventionally asked to perform overnight polysomnography tests to collect their physiological data, which are use...

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Bibliographic Details
Main Authors: Ying-Ren Chien, Cheng-Hsuan Wu, Hen-Wai Tsao
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
arousal
convolutional neural network (CNN)
ensemble learning
electroencephalography (EEG)
meta-classifier
polysomnography (PSG)
Online Access:https://www.mdpi.com/1424-8220/21/18/6049

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https://www.mdpi.com/1424-8220/21/18/6049

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