Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap

@article{Qian2017DrowsinessDB,
  title={Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap},
  author={Dong Qian and Bei Wang and Xiangyun Qing and Tao Zhang and Yu Zhang and Xingyu Wang and Masatoshi Nakamura},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2017},
  volume={64},
  pages={743-754}
}
Objective: Daytime short nap involves individual physiological states including alertness and drowsiness. In order to have a better understanding of the periodical rhymes of physiological states and then promote a good interpretability of alertness, the aim of this study is to detect drowsiness during daytime short nap. Methods: A method of Bayesian-copula discriminant classifier (BCDC) was introduced to detect individual drowsiness based on the physiological features extracted from… 
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