2012
DOI: 10.1111/j.1469-8986.2011.01329.x
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Regional brain wave activity changes associated with fatigue

Abstract: Assessing brain wave activity is a viable strategy for monitoring fatigue when performing tasks such as driving, and numerous studies have been conducted in this area. However, results of a systematic review on changes in brain wave activity associated with fatigue have revealed equivocal findings. This study investigated brain wave activity associated with fatigue in 48 nonprofessional healthy drivers as they participated in a simulated driving task until they fatigued. The results showed that as a person fat… Show more

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Cited by 293 publications
(247 citation statements)
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References 82 publications
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“…In this study, the EEG data from previous study [4] was used which contains of 5 healthy participants aged between 18 and 55 years for driving simulator task using the divided attention steering simulator. During the driving experiment, participants were asked to drive at the center.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this study, the EEG data from previous study [4] was used which contains of 5 healthy participants aged between 18 and 55 years for driving simulator task using the divided attention steering simulator. During the driving experiment, participants were asked to drive at the center.…”
Section: Resultsmentioning
confidence: 99%
“…Electroencephalography (EEG) [4], [5], electrooculography (EOG) [6], and electrocardiography (ECG) [7] associated with fatigue were investigated. EEG is considered to be a significant and reliable method of detecting fatigue, as it directly measures neurophysiological activity in the human brain [4]. Also, EEG has been used frequently for sleep research [8].…”
Section: Introductionmentioning
confidence: 99%
“…The PSD is the most popular method in EEG analysis of fatigue research which is based on frequency analysis [5,7]. In this paper, the Welch spectrum of the PSD was used.…”
Section: B Pre-processing and Feature Extractionmentioning
confidence: 99%
“…This converts the time domain data into frequency domain and groups data into EEG bands (delta, theta, alpha and beta) [7]. Other feature extraction methods in other EEG applications such as brain computer interface (BCI) include power spectral entropy (PSE) [8], wavelet as the time-frequency method [9] and autoregressive (AR) as the parametric method [10].…”
Section: Introductionmentioning
confidence: 99%
“…From the physiological parameters point of view, a counter-fatigue monitoring device can use the signals from eye movement using electrooculography (EOG) [2], heart rate variability (HRV) using electrocardiography (ECG) [3] and brain signal using electroencephalography (EEG) [4,5]. This paper explores fatigue detection using parameters from EEG signals to form a brain monitoring device.…”
Section: Introductionmentioning
confidence: 99%