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Drowsiness detection based on pulse signal sample entropy | |
Zhang, Aihua![]() ![]() | |
2012 | |
会议名称 | 2012 3rd International Conference on Telecommunication and Information, TEIN 2012 |
会议录名称 | TEIN 2012 - 2012 3rd International Conference on Telecommunication and Information
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页码 | 193-197 |
会议日期 | April 21, 2012 - April 22, 2012 |
会议地点 | Sanya, China |
出版者 | Information Engineering Research Institute |
摘要 | A method for analyzing pulse signal based on sample entropy is proposed in order to detect drowsiness objectively. The pulse signals were recorded from the subjects by MP150 multi-channel physiological signal recorder in waking and sleeping state. The sample entropy of pulse signals were calculated and analyzed under two states. The results show that the pulse signal sample entropy in the sleeping state was significantly higher than the waking state. Sample entropy could be used as an important characteristic parameter for distinguishing waking and sleeping state. It provides a new way for drowsiness detection. © 2012 IERI. |
关键词 | Entropy Sleep research Drowsiness detection Multi channel Physiological signals Pulse signal Sample entropy Two-state |
收录类别 | EI |
语种 | 中文 |
EI入藏号 | 20151200670131 |
EI主题词 | Signal detection |
来源库 | Compendex |
分类代码 | 461.4 Ergonomics and Human Factors Engineering - 641.1 Thermodynamics - 716.1 Information Theory and Signal Processing |
文献类型 | 会议论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/116028 |
专题 | 电气工程与信息工程学院 石油化工学院 |
作者单位 | School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China |
第一作者单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Zhang, Aihua,Xu, Wei. Drowsiness detection based on pulse signal sample entropy[C]:Information Engineering Research Institute,2012:193-197. |
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