EEG-based fatigue state evaluation by combining complex network and frequency-spatial features.

Journal: Journal of neuroscience methods
PMID: 39909159

Abstract

BACKGROUND: The proportion of traffic accidents caused by fatigue driving is increasing year by year, which has aroused wide concerns for researchers. In order to rapidly and accurately detect drivers' fatigue, this paper proposed an electroencephalogram (EEG)-based fatigue state evaluation method by combining complex network and frequency-spatial features.

Authors

  • Kefa Wang
    College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China.
  • Xiaoqian Mao
    School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
  • Yuebin Song
    College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China.
  • Qiuyu Chen
    College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China.

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