Automated drowsiness detection through wavelet packet analysis of a single EEG channel

作者：

Highlights：

• Ratio indices computed from a single EEG channel used as drowsiness indicators.

• Delta and gamma brain rhythms successfully used for drowsiness detection.

• Wavelet packet transform as the main tool to localize specific brain frequency ranges.

• Transition from alert to drowsy state is taken as main event of interest.

• Wilcoxon signed rank test analysis pointed out the contribution of proposed indices.

摘要

•Ratio indices computed from a single EEG channel used as drowsiness indicators.•Delta and gamma brain rhythms successfully used for drowsiness detection.•Wavelet packet transform as the main tool to localize specific brain frequency ranges.•Transition from alert to drowsy state is taken as main event of interest.•Wilcoxon signed rank test analysis pointed out the contribution of proposed indices.

论文关键词：Wavelet packet transform (WPT),Drowsiness detection,Single-channel electroencephalogram (EEG)

论文评审过程：Received 3 July 2015, Revised 11 February 2016, Accepted 23 February 2016, Available online 2 March 2016, Version of Record 15 March 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.041