Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving

Background: Driver fatigue is one of the major implications in transportation safety and accounted for up to 40% of road accidents. This study aimed to analyze the EEG alpha power changes in partially sleep-deprived drivers while performing a simulated driving task. Methods: Twelve healthy male car...

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Main Authors: Faramarz GHARAGOZLOU (Author), Gebraeil Nasl SARAJI (Author), Adel MAZLOUMI (Author), Ali NAHVI (Author), Ali Motie NASRABADI (Author), Abbas RAHIMI FOROUSHANI (Author), Ali Arab KHERAD­MAND (Author), Mohammadreza ASHOURI (Author), Mehdi SAMAVATI (Author)
Format: Book
Published: Tehran University of Medical Sciences, 2015-12-01T00:00:00Z.
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Summary:Background: Driver fatigue is one of the major implications in transportation safety and accounted for up to 40% of road accidents. This study aimed to analyze the EEG alpha power changes in partially sleep-deprived drivers while performing a simulated driving task. Methods: Twelve healthy male car drivers participated in an overnight study. Continuous EEG and EOG records were taken during driving on a virtual reality simulator on a monotonous road. Simultaneously, video recordings from the driver face and behavior were performed in lateral and front views and rated by two trained observers. Moreover, the subjective self-assessment of fatigue was implemented in every 10-min interval during the driving using Fatigue Visual Analog Scale (F-VAS). Power spectrum density and fast Fourier transform (FFT) were used to determine the absolute and relative alpha powers in the initial and final 10 minutes of driving. Results: The findings showed a significant increase in the absolute alpha power (P = 0.006) as well as F-VAS scores during the final section of driving (P = 0.001). Meanwhile, video ratings were consistent with subjective self-assessment of fatigue. Conclusion: The increase in alpha power in the final section of driving indicates the decrease in the level of alertness and attention and the onset of fatigue, which was consistent with F-VAS and video ratings. The study suggested that variations in alpha power could be a good indicator for driver mental fatigue, but for using as a countermeasure device needed further investigations.   Keywords: Driver mental fatigue, F-VAS, Video rating, EEG alpha power.
Item Description:2251-6085
2251-6093