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Hidden information technology and data processing in drowsiness detection in normal adults based on pulse signal and ECG detection in normal adults based on pulse signal and ECG | |
Wang, Qi![]() | |
2014 | |
会议名称 | 4th International Conference on Industry, Information System and Material Engineering, IISME 2014 |
会议录名称 | Advanced Materials Research
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卷号 | 1014 |
页码 | 417-420 |
会议日期 | July 26, 2014 - July 27, 2014 |
会议地点 | Nanjing, China |
出版者 | Trans Tech Publications Ltd |
摘要 | An objective measurement to evaluate sleep-wake state was studied based on the hidden information among ECG and pulse signals that might offer insights into the nature of sleep. Pulse transit time (PTT) and Wavelet entropy (WE) were computed for twenty sets data which come from self-designed experiments to distinguish the two different states of mental. A significant increase of PTT and decrease of WE ware correlated with the state of drowsiness, and both feature t-test results were p<0.01, thus showing that these features have significant differences between awake and sleepy state. Furthermore, the two characteristics can be recommended as objective indicators for distinguishing the human mental states. © (2014) Trans Tech Publications, Switzerland. |
关键词 | Electrocardiography Entropy Information systems Drowsiness Drowsiness detection Ecg detections Hidden information Mental state Objective measurement Pulse transit time Wavelet entropies |
DOI | 10.4028/www.scientific.net/AMR.1014.417 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20143418086429 |
EI主题词 | Signal detection |
ISSN | 10226680 |
来源库 | Compendex |
分类代码 | 641.1 Thermodynamics - 701.1 Electricity: Basic Concepts and Phenomena - 716.1 Information Theory and Signal Processing - 903.2 Information Dissemination |
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/117257 |
专题 | 电气工程与信息工程学院 |
作者单位 | 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 | Wang, Qi. Hidden information technology and data processing in drowsiness detection in normal adults based on pulse signal and ECG detection in normal adults based on pulse signal and ECG[C]:Trans Tech Publications Ltd,2014:417-420. |
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