A method for drowsiness detection based on Tsallis entropy of EEG | |
Zhang, Aihua2; Bi, Jinhui1; Sun, Songsong1 | |
2013 | |
会议日期 | May 26, 2012 - May 31, 2012 |
会议地点 | Beijing, China |
关键词 | Bioelectric potentials Biomedical engineering Entropy Medical Physics Wakes Drowsiness detection EEG rhythms EEG signals Healthy subjects Real time Theta rhythms Tsallis entropies |
卷号 | 39 IFMBE |
DOI | 10.1007/978-3-642-29305-4_133 |
页码 | 505-508 |
英文摘要 | 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. © 2013 Springer-Verlag. |
会议录 | IFMBE Proceedings
![]() |
会议录出版者 | Springer Verlag |
语种 | 英语 |
ISSN号 | 16800737 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/117641] ![]() |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Langongping road, Lanzhou, China; |
推荐引用方式 GB/T 7714 | Zhang, Aihua,Bi, Jinhui,Sun, Songsong. A method for drowsiness detection based on Tsallis entropy of EEG[C]. 见:. Beijing, China. May 26, 2012 - May 31, 2012. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论