@article{ref1,
title="Detecting driver mental fatigue based on EEG alpha power changes during simulated driving",
journal="Iranian journal of public health",
year="2015",
author="Gharagozlou, Faramarz and Nasl Saraji, Gebraeil and Mazloumi, Adel and Nahvi, Ali and Motie Nasrabadi, Ali and Rahimi Foroushani, Abbas and Arab Kheradmand, Ali and Ashouri, Mohammadreza and Samavati, Mehdi",
volume="44",
number="12",
pages="1693-1700",
abstract="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. <br><br>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. <br><br>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. <br><br>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.<p /> <p>Language: en</p>",
language="en",
issn="2251-6085",
doi="",
url="http://dx.doi.org/"
}