Local Pattern Transformation-Based convolutional neural network for sleep stage scoring

Author:

Zan Hasan,Yildiz Abdulnasır

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference52 articles.

1. A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model;Yang;Biomed. Signal Process. Control,2021

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3. Sleep and circadian rhythm disruption in psychiatric and neurodegenerative disease;Wulff;Nat. Rev. Neurosci.,2010

4. Automatic analysis of single-channel sleep EEG: validation in healthy individuals;Berthomier;Sleep,2007

5. S.S. Kumar, A machine learning model for automated classification of sleep stages using polysomnography signals, in: International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, Singapore, 2022.

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