Machine-Learning-Based-Approaches for Sleep Stage Classification Utilising a Combination of Physiological Signals: A Systematic Review

Machine-Learning-Based-Approaches for Sleep Stage Classification Utilising a Combination of Physiological Signals: A Systematic Review

Increasingly prevalent sleep disorders worldwide significantly affect the well-being of individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence, the accurate classification of sleep stages is crucial for detecting sleep disorders. The use of machine learning techni...

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Bibliographic Details
Main Authors: Haifa Almutairi, Ghulam Mubashar Hassan, Amitava Datta
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
classification
EEG
EMG
EOG
deep learning
machine learning
Online Access:https://www.mdpi.com/2076-3417/13/24/13280

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