Chapter
Jul 2, 2019
Poincaré Plot Indices of Heart Rate Variability for Monitoring Driving Fatigue
Authors: Chao Zeng, Wenjun Wang [email protected], Chaoyang Chen, Chaofei Zhang, and Bo ChengAuthor Affiliations
Publication: CICTP 2019
Abstract
To evaluate the effects of driver fatigue on the autonomic nervous system (ANS), Poincaré 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 Poincaré 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. Poincaré plot indices seem able to distinguish drivers’ mental state and have potential prospective in ECG based driving fatigue detection systems.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Chao Zeng
State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China; Dept. of Automotive Engineering, Tsinghua Univ., Beijing 100084, China; College of Information Science and Technology, Shihezi Univ., Shihezi 832003, China.
State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China; Dept. of Automotive Engineering, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]
Chaoyang Chen
Dept. of Biomedical Engineering, Wayne State Univ., Detroit, MI 48201.
Chaofei Zhang
State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China; Dept. of Automotive Engineering, Tsinghua Univ., Beijing 100084, China.
Bo Cheng
State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China; Dept. of Automotive Engineering, Tsinghua Univ., Beijing 100084, China.
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