Automated drowsiness detection through wavelet packet analysis of a single EEG channel
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- 作者：Thiago L.T. da Silveira ; a ; thiago@inf.ufsm.br" class="auth_mail" title="E-mail the corresponding author ; Alice J. Kozakeviciusb ; alicek@ufsm.br" class="auth_mail" title="E-mail the corresponding author ; Cesar R. Rodriguesc ; cesar@ieee.org" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wavelet packet transform (WPT) ; Drowsiness detection ; Single-channel electroencephalogram (EEG)
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：15 August 2016
- 年：2016
- 卷：55
- 期：Complete
- 页码：559-565
- 全文大小：821 K
文摘
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Ratio indices computed from a single EEG channel used as drowsiness indicators.
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Delta and gamma brain rhythms successfully used for drowsiness detection.
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Wavelet packet transform as the main tool to localize specific brain frequency ranges.
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Transition from alert to drowsy state is taken as main event of interest.
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Wilcoxon signed rank test analysis pointed out the contribution of proposed indices.