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《Journal of Zhejiang University(Engineering Science)》 2010-01
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Study of correlation between heart rate variability and driving fatigue

DONG Zhan-xun,SUN Shou-qian,WU Qun,XU Juan-fang(College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China)  
Ten adult male drivers were tested on a driving simulation platform to find an objective,quantifiable electrocardiograph indicator which highly related with driving fatigue.Heart rate variability (HRV) signals were monitored and eye tracking was recorded simultaneously during the driving process.Then,the correlation between the indicators of HRV signals and the objective driving fatigue indicator-PERCLOS p80 was calculated.Results showed that,in the HRV frequency spectrum,the ratio of low to high frequency,which indicating the tension equilibrium of sympathetic and parasympathetic nervous system,had the maximum correlation with PERCLOS p80,and the Pearson's correlation coefficient was 0.728.So this ratio can be a real-time quantitative indicator for driving fatigue detection.For the HRV signals are chaotic,the R-R interval C_0 complexity is selected to represent the fatigue cumulating process.This non-linear indicator can be used to assess the driver's control and response ability when confronted with unexpected dangers.
【Fund】: 国家“973”重点基础研究发展规划资助项目(2002CB312106);; 国家自然科学基金资助项目(60703041)
【CateGory Index】: U491.254;R541
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