An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model.

Journal: Journal of neuroscience methods
Published Date: Jun 19, 2019

Abstract

OBJECTIVE: Sleep stage scoring is essential for diagnosing sleep disorders. Visual scoring of sleep stages is very time-consuming and prone to human errors. In this work, we introduce an efficient approach to improve the accuracy of sleep stage scoring and classification for sleep analysis.

Authors

  • Hojat Ghimatgar
    Department of Electrical and Electronic Engineering, Shiraz University of Technology, P. O. Box 71555-313, Shiraz, Iran.
  • Kamran Kazemi
    Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran.
  • Mohammad Sadegh Helfroush
    Department of Electrical and Electronic Engineering, Shiraz University of Technology, P. O. Box 71555-313, Shiraz, Iran.
  • Ardalan Aarabi
    Laboratory of Functional Neuroscience and Pathologies (LNFP, EA4559), University Research Center (CURS), CHU AMIENS - SITE SUD, Avenue Laënnec, Salouël 80420, France; Faculty of Medicine, University of Picardie Jules Verne, Amiens 80036, France. Electronic address: ardalan.aarabi@u-picardie.fr.

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