Literature DB >> 31366249

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

Chin-Teng Lin1, Jung-Tai King2, Chun-Hsiang Chuang3, Weiping Ding4, Wei-Yu Chuang2, Lun-De Liao5, Yu-Kai Wang1.   

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.

Entities:  

Keywords:  EEG; fNIRS; fatigue driving; oxygenated hemoglobin

Year:  2019        PMID: 31366249     DOI: 10.1142/S0129065719500187

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  3 in total

Review 1.  A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles.

Authors:  Stephanie Balters; Joseph M Baker; Joseph W Geeseman; Allan L Reiss
Journal:  Front Hum Neurosci       Date:  2021-04-22       Impact factor: 3.169

2.  Head-Down Tilt Position, but Not the Duration of Bed Rest Affects Resting State Electrocortical Activity.

Authors:  Katharina Brauns; Anika Friedl-Werner; Martina A Maggioni; Hanns-Christian Gunga; Alexander C Stahn
Journal:  Front Physiol       Date:  2021-02-24       Impact factor: 4.566

Review 3.  Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review.

Authors:  Rihui Li; Dalin Yang; Feng Fang; Keum-Shik Hong; Allan L Reiss; Yingchun Zhang
Journal:  Sensors (Basel)       Date:  2022-08-05       Impact factor: 3.847

  3 in total

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