A two-stage learning convolutional neural network for sleep stage classification using a filterbank and single feature

Sleep is an essential process for the body that helps to maintain its health and vitality. The first stage in the diagnosis and treatment of sleep disorders is sleep staging. Due to the complications in manual sleep staging by the physician, computer-aided sleep stage classification algorithms are g...

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Bibliographic Details
Main Authors: Mehdi Abdollahpour, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad
Format: Article
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. (IEEE) 2022
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/34047/1/A%20Two-Stage%20Learning%20Convolutional%20Neural%20Network%20for%20Sleep%20Stage%20Classification%20Using%20a%20Filterbank%20and%20Single%20Feature%20%282%29.pdf
https://eprints.ums.edu.my/id/eprint/34047/2/A%20Two-Stage%20Learning%20Convolutional%20Neural%20Network%20for%20Sleep%20Stage%20Classification%20Using%20a%20Filterbank%20and%20Single%20Feature%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/34047/
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9791443
https://doi.org/10.1109/ACCESS.2022.3180730
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