Spectral Analysis of Heart Rate Variability as a Quantitative Indicator of Driver Mental Fatigue

Zengyong Li; Kun Jiao; Ming Chen; Yushu Yang; Chengtao Wang; Shaohua Qi

doi:10.4271/2002-01-0090

2002-03-04

Spectral Analysis of Heart Rate Variability as a Quantitative Indicator of Driver Mental Fatigue 2002-01-0090

The purpose of this study was to quantifiably evaluate driver mental fatigue using the power spectral analysis of the heart rate variability (HRV). The quantitative detector of driver fatigue can present appropriate warnings and help to prevent traffic accidents. A simulation creating driver mental workload was set up using vigilance, considered to be an accurate assessment of driver mental workload, to evaluate a driver's performance. In the experiment eight healthy male subjects were required to perform a vigilance task for 90 minutes. The physiological variables for evaluating driver mental load were spectral values of heart rate variability (HRV). As a result HRV showed a high correlation with driver mental fatigue.

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Spectral Analysis of Heart Rate Variability as a Quantitative Indicator of Driver Mental Fatigue 2002-01-0090

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