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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
会议日期July 26, 2014 - July 27, 2014
会议地点Nanjing, China
关键词Electrocardiography Entropy Information systems Drowsiness Drowsiness detection Ecg detections Hidden information Mental state Objective measurement Pulse transit time Wavelet entropies
卷号1014
DOI10.4028/www.scientific.net/AMR.1014.417
页码417-420
英文摘要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.
会议录Advanced Materials Research
会议录出版者Trans Tech Publications Ltd
语种英语
ISSN号10226680
内容类型会议论文
源URL[http://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
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]. 见:. Nanjing, China. July 26, 2014 - July 27, 2014.
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