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

• 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: QA71-90 Instruments and machines; RC31-1245 Internal medicine
• 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

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...