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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51151

Title: Brain electrodynamic and hemodynamic signatures against fatigue during driving
Authors: CH Chuang
JT King
BS Wu
ZH Cao
YK Wang
CT Lin
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: EEG
driving
fNIRS
fatigue
fighting
Date: 2018-03
Issue Date: 2018-11-14T08:32:13Z
Publisher: Frontiers in Neuroscience
Abstract: Abstract: Fatigue is likely to be gradually cumulated in a prolonged and attention-demanding task that may adversely affect task performance. To address the brain dynamics during a driving task, this study recruited 16 subjects to participate in an event-related lane-departure driving experiment. Each subject was instructed to maintain attention and task performance throughout an hour-long driving experiment. The subjects' brain electrodynamics and hemodynamics were simultaneously recorded via 32-channel electroencephalography (EEG) and 8-source/16-detector functional near-infrared spectroscopy (fNIRS). The behavior performance demonstrated that all subjects were able to promptly respond to lane-deviation events, even if the sign of fatigue arose in the brain, which suggests that the subjects were fighting fatigue during the driving experiment. The EEG event-related analysis showed strengthening alpha suppression in the occipital cortex, a common brain region of fatigue. Furthermore, we noted increasing oxygenated hemoglobin (HbO) of the brain to fight driving fatigue in the frontal cortex, primary motor cortex, parieto-occipital cortex and supplementary motor area. In conclusion, the increasing neural activity and cortical activations were aimed at maintaining driving performance when fatigue emerged. The electrodynamic and hemodynamic signatures of fatigue fighting contribute to our understanding of the brain dynamics of driving fatigue and address driving safety issues through the maintenance of attention and behavioral performance.
Relation: 12
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51151
Appears in Collections:[資訊工程學系] 期刊論文

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