Power Spectral Analysis of Heart Rate Variability of Driver Fatigue

IntroductionDrivingfatigue overloadinghas threatenedpeople s healthand life. Investigation datum from suggested that estimates ofthe contribution of driver mental fatigue to total trafficaccidents vary from 4% in 1980 to 25% in 1995[1]. Surveyresults revealed that 64% of respondents had experiencedfatigue on the road. In addition, 7% of the subject sampleclaimed to have had traffic accident due to fatigue.Drivingfatigue is a substantialproblem and serious threat inthe …

Power Spectral Analysis of Heart Rate Variability of Driver Fatigue

This investigation was to evaluate the driving fatigue based on power spectral analysis of heart rate variability (HRV) under vertical vibration. Forty healthy male subjects (29.7±3.5 years) were randomly divided into two groups, Group A (28.8±4.3 years) and Group B (30.6±2.7 years). Group A (experiment group) was required to perform the simulated driving and Group B (control group) kept calm for 90min. The frequency domain indices of HRV such as low frequency (0.040.15 Hz, LF), high frequency (0.15-0.4Hz, HF), LF/HF together with the indices of hemodynamics such as blood pressure (BP) and heart rate (HR) of the subjects between both groups were calculated and analyzed after the simulated driving. There were significances of the former indices between both groups (P＜0.05). All the data collected after experiment of Group A was observed the remarkable linear correlation (P＜0.05) and parameters and errors of their linear regression equation were stated (α=0.05, P＜0.001) in this paper, respectively. The present study investigated that sympathetic activity of the subjects enhanced after the simulated driving while parasympathetic activities decreased. The sympathovagal balance was also improved. As autonomic function indictors of HRV reflected fatigue level, quantitative evaluation of driving mental fatigue from physiological reaction could be possible.