A deep learning algorithm based on 1D CNN-LSTM for automatic sleep staging.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date: Jan 1, 2022

Abstract

BACKGROUND: Sleep staging is an important part of sleep research. Traditional automatic sleep staging based on machine learning requires extensive feature extraction and selection.

Authors

  • Dechun Zhao
    College of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Renpin Jiang
    School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Mingyang Feng
    College of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Jiaxin Yang
    Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Yi Wang
    Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Xiaorong Hou
    College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Xing Wang
    Department of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, China.

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