A method for drowsiness detection based on Tsallis entropy of EEG

摘要：

　　Introduction: for realizing detection of drowsiness,a method based on Tsallis entropy of EEG signal is proposed.Materials and Methods: EEG signals with bipolar montage C4-P4 and T4-T6 were collected from 20 healthy subjects during wake and drowsiness.After four kinds of EEG rhythms were extracted,the each rhythm complexity for the EEG signals was analyzed with Tsallis entropy.Results and Discussion: the results show that the Tsallis entropy of EEG theta rhythms either C4-P4 or T4-T6 in wake is obviously higher than drowsiness.So the drowsiness could be reliably detected in real-time by the Tsallis entropy of theta rhythm on C4-P4 or T4-T6.

关键词： drowsiness detection EEG Tsallis entropy Alpha rhythm Theta rhythm

作者: Aihua Zhang Jinhui Bi Songsong Sun

作者单位: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 505-508

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）