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Poincaré plot indices of heart rate variability for monitoring driving fatigue

CICTP 2019: Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals,(2019)

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Abstract
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.
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Key words
monitoring driving fatigue,heart rate variability,heart rate
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