title: Evaluating the effectiveness of using electroencephalogram power indices to measure visual fatigue.
abstract: Electroencephalography (EEG) is widely used in cognitive and behavioral research. This study evaluates the effectiveness of using the EEG power index to measure visual fatigue. Three common visual fatigue measures, critical-flicker fusion (CFF), near-point accommodation (NPA), and subjective eye-fatigue rating, were used for comparison. The study participants were 20 men with a mean age of 20.4 yr. (SD = 1.5). The experimental task was a car-racing video game. Results indicated that the EEG power indices were valid as a visual fatigue measure and the sensitivity of the objective measures (CFF and EEG power index) was higher than the subjective measure. The EEG beta and EEG alpha were effective for measuring visual fatigue in short- and long-duration tasks, respectively. EEG beta/alpha were the most effective power indexes for the visual fatigue measure.
authors.affiliation: Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan, ROC.
authors.forename: Bin-Wei
authors.initials: BW
authors.lastname: Hsu
authors.forename: Mao-Jiun J
authors.initials: MJ
authors.lastname: Wang
mesh_terms: D000065:Accommodation, Ocular / Q000502:physiology*; D000328:Adult; D001248:Asthenopia / Q000175:diagnosis*; D004569:Electroencephalography / Q000379:methods / Q000592:standards*; D005425:Flicker Fusion / Q000502:physiology*; D005717:Games, Experimental; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D013997:Time Factors; D055815:Young Adult