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A method for drowsiness detection based on Tsallis entropy of EEG | |
Zhang, Aihua1![]() | |
2013 | |
会议名称 | World Congress on Medical Physics and Biomedical Engineering |
会议录名称 | IFMBE Proceedings
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卷号 | 39 IFMBE |
页码 | 505-508 |
会议日期 | May 26, 2012 - May 31, 2012 |
会议地点 | Beijing, China |
出版者 | Springer Verlag |
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. |
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 |
DOI | 10.1007/978-3-642-29305-4_133 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20131616209365 |
EI主题词 | Electroencephalography |
ISSN | 16800737 |
来源库 | Compendex |
分类代码 | 461.1 Biomedical Engineering - 461.6 Medicine and Pharmacology - 631.1 Fluid Flow, General - 641.1 Thermodynamics |
引用统计 | 无
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文献类型 | 会议论文 |
条目标识符 | https://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 Electrical and Information Engineering, Lanzhou University of Technology, Langongping road, Lanzhou, China; 2.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China |
第一作者单位 | 兰州理工大学 |
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]:Springer Verlag,2013:505-508. |
条目包含的文件 | 条目无相关文件。 |
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