Poincare Plot Indices of Heart Rate Variability for Monitoring Driving Fatigue

被引：0
|
作者：
Zeng, Chao [1 ,2 ,3 ]
Wang, Wenjun [1 ,2 ]
Chen, Chaoyang [2 ]
Zhang, Chaofei [1 ,2 ]
Cheng, Bo [1 ,2 ]
机构：
[1] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Dept Automot Engn, Beijing 100084, Peoples R China
[3] Shihezi Univ, Coll Informat Sci & Technol, Shihezi 832003, Peoples R China
来源：
CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD | 2019年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
To evaluate the effects of driver fatigue on the autonomic nervous system (ANS), Poincare plot indices of heart rate variability (HRV) were investigated. A total of 20 volunteers were recruited to perform a 60-min duration driving experiment on a high-fidelity driving simulator with ECG recorded. The Poincare plot derived from RR intervals of ECG was quantified by measuring SD1, SD2, SD2/SD1, and S. The results showed that all four indices increased significantly (Mann-Whitney U test, p < 0.01) in fatigue state compared to an alert state. Poincare plot indices seem able to distinguish drivers' mental state and have potential prospective in ECG based driving fatigue detection systems.
引用
收藏
页码：652 / 660
页数：9
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