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SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG

  • Published:2022-05 Issue: Volume:75 Page:103592
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Zhou Dongdong,Wang Jian,Hu Guoqiang,Zhang Jiacheng,Li Fan,Yan Rui,Kettunen Lauri,Chang Zheng,Xu Qi,Cong Fengyu

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference48 articles.

1. A quantitative statistical analysis of the submentalis muscle emg amplitude during sleep in normal controls and patients with rem sleep behavior disorder;Ferri;J. Sleep Res.,2008

2. Automatic stage scoring of single-channel sleep eeg based on multiscale permutation entropy;Kuo;IEEE Biomed. Circuits Syst. Conf (BioCAS),2011

3. Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea;Redmond;IEEE Trans. Biomed. Eng,2006

4. Analysis and classification of sleep stages based on difference visibility graphs from a single-channel eeg signal;Zhu;IEEE J. Biomed. Health. Inf.,2014

5. Genetic fuzzy classifier for sleep stage identification;Jo;Comput. Biol. Med,2010

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2. MFASleepNet: Multi-view fusion attention-based deep neural network for automatic sleep staging;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Advancing Sleep Stage Classification with EEG Signal Analysis: LSTM Optimization Using Puffer Fish Algorithm and Explainable AI;International Journal of Electrical and Electronics Research;2024-06-25

4. Insights from the 2nd China intelligent sleep staging competition;Sleep and Breathing;2024-05-10

5. A Feature-Reconstruction Based Multi-task Learning Model for Sleep Staging;2024 4th International Conference on Information Communication and Software Engineering (ICICSE);2024-05-10
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