Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator

Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90min with simulta...

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Published inAccident analysis and prevention Vol. 45; pp. 83 - 90
Main Authors Zhao, Chunlin, Zhao, Min, Liu, Jianpin, Zheng, Chongxun
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.03.2012
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Abstract Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90min with simultaneous ECG and multi-channel EEG recording of each subject. Several important physiological parameters were investigated using preprocessed ECG and EEG signals. The results show that the EEG alpha and beta, the relative power, the amplitude of P300 wave of event-related potential (ERP), the approximated entropy of the ECG, and the lower and upper bands of power of heart rate variability (HRV) are significantly different before and after finishing the driving task (p<0.05). These metrics are possible indices for measuring simulated driving mental fatigue.
AbstractList Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90min with simultaneous ECG and multi-channel EEG recording of each subject. Several important physiological parameters were investigated using preprocessed ECG and EEG signals. The results show that the EEG alpha and beta, the relative power, the amplitude of P300 wave of event-related potential (ERP), the approximated entropy of the ECG, and the lower and upper bands of power of heart rate variability (HRV) are significantly different before and after finishing the driving task (p <0.05). These metrics are possible indices for measuring simulated driving mental fatigue.
Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90 min with simultaneous ECG and multi-channel EEG recording of each subject. Several important physiological parameters were investigated using preprocessed ECG and EEG signals. The results show that the EEG alpha and beta, the relative power, the amplitude of P300 wave of event-related potential (ERP), the approximated entropy of the ECG, and the lower and upper bands of power of heart rate variability (HRV) are significantly different before and after finishing the driving task (p<0.05). These metrics are possible indices for measuring simulated driving mental fatigue.Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90 min with simultaneous ECG and multi-channel EEG recording of each subject. Several important physiological parameters were investigated using preprocessed ECG and EEG signals. The results show that the EEG alpha and beta, the relative power, the amplitude of P300 wave of event-related potential (ERP), the approximated entropy of the ECG, and the lower and upper bands of power of heart rate variability (HRV) are significantly different before and after finishing the driving task (p<0.05). These metrics are possible indices for measuring simulated driving mental fatigue.
Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90 min with simultaneous ECG and multi-channel EEG recording of each subject. Several important physiological parameters were investigated using preprocessed ECG and EEG signals. The results show that the EEG alpha and beta, the relative power, the amplitude of P300 wave of event-related potential (ERP), the approximated entropy of the ECG, and the lower and upper bands of power of heart rate variability (HRV) are significantly different before and after finishing the driving task (p<0.05). These metrics are possible indices for measuring simulated driving mental fatigue.
Author Zhao, Min
Zhao, Chunlin
Liu, Jianpin
Zheng, Chongxun
Author_xml – sequence: 1
  givenname: Chunlin
  surname: Zhao
  fullname: Zhao, Chunlin
  email: zclwj1974@163.com
  organization: Engineering College of Armed Police Force, Xi’an 710049, China
– sequence: 2
  givenname: Min
  surname: Zhao
  fullname: Zhao, Min
  organization: Engineering College of Armed Police Force, Xi’an 710049, China
– sequence: 3
  givenname: Jianpin
  surname: Liu
  fullname: Liu, Jianpin
  organization: Engineering College of Armed Police Force, Xi’an 710049, China
– sequence: 4
  givenname: Chongxun
  surname: Zheng
  fullname: Zheng, Chongxun
  organization: Key Laboratory of Biomedical Information Engineering of Education Ministry, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/22269488$$D View this record in MEDLINE/PubMed
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Snippet Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram...
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SubjectTerms Adult
Arousal
Assessments
Attention - physiology
Automobile Driving - psychology
Cerebral Cortex - physiopathology
China
Color Perception - physiology
Computer Simulation
Driving mental fatigue
ECG
EEG
Electrocardiographs
Electrocardiography
Electroencephalography
Entropy
Event-Related Potentials, P300 - physiology
Fatigue (materials)
Fourier Analysis
Heart rate
HRV
Humans
Male
Mental Fatigue - physiopathology
P300
Pattern Recognition, Visual - physiology
Psychomotor Performance - physiology
Reaction Time - physiology
Sex Factors
Signal Processing, Computer-Assisted
Simulation
Tasks
Young Adult
Title Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator
URI https://dx.doi.org/10.1016/j.aap.2011.11.019
https://www.ncbi.nlm.nih.gov/pubmed/22269488
https://www.proquest.com/docview/1635014661
https://www.proquest.com/docview/1651410042
https://www.proquest.com/docview/917854461
Volume 45
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