Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements

Author:

Lin Chin-Teng1,King Jung-Tai2,Chuang Chun-Hsiang3,Ding Weiping4,Chuang Wei-Yu2,Liao Lun-De5,Wang Yu-Kai1

Affiliation:

1. CIBCI, Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Sydney, Broadway, 15, Ultimo NSW 2007, Australia

2. Brain Research Center, National Chiao Tung University, Hsinchu 300, Taiwan

3. Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung 202, Taiwan

4. School of Information Science and Technology, Nantong University, Nantong 226019, China

5. Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Zhunan, 350, Taiwan

Abstract

Fatigue is one problem with driving as it can lead to difficulties with sustaining attention, behavioral lapses, and a tendency to ignore vital information or operations. In this research, we explore multimodal physiological phenomena in response to driving fatigue through simultaneous functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) recordings with the aim of investigating the relationships between hemodynamic and electrical features and driving performance. Sixteen subjects participated in an event-related lane-deviation driving task while measuring their brain dynamics through fNIRS and EEGs. Three performance groups, classified as Optimal, Suboptimal, and Poor, were defined for comparison. From our analysis, we find that tonic variations occur before a deviation, and phasic variations occur afterward. The tonic results show an increased concentration of oxygenated hemoglobin (HbO2) and power changes in the EEG theta, alpha, and beta bands. Both dynamics are significantly correlated with deteriorated driving performance. The phasic EEG results demonstrate event-related desynchronization associated with the onset of steering vehicle in all power bands. The concentration of phasic HbO2 decreased as performance worsened. Further, the negative correlations between tonic EEG delta and alpha power and HbO2 oscillations suggest that activations in HbO2 are related to mental fatigue. In summary, combined hemodynamic and electrodynamic activities can provide complete knowledge of the brain’s responses as evidence of state changes during fatigue driving.

Funder

the Australian Research Council

the Taiwan Ministry of Science and Technology

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

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