Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association of fetal cerebral growth and sulcal development with 2-year neurodevelopmental outcome in children with prenatally diagnosed mild-to-moderate isolated ventriculomegaly.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2026
Same author

Evidence based recommendations for health professionals to improve care of people with spinal cord injury and cognitive impairment: an update to the psychosocial care practice guide.

Spinal cord·2025
Same author

Health literacy, multimorbidity and its effect on mental health in South African adults: a repeated cross-sectional nationally representative panel study.

Frontiers in public health·2025
Same author

Preconception health knowledge, attitudes and behavioural intentions among adults: a multi-country study.

Reproductive health·2025
Same author

Dairy cow performance and nutrient utilization when offered high or low digestibility grass silages at 2 levels of total diet crude protein.

JDS communications·2025
Same author

Reducing dietary crude protein levels while meeting metabolizable protein requirements: Performance of dairy cows over a full lactation period.

Journal of dairy science·2024
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Jun 26, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue

Y Tran1, N Wijesuryia, R A Thuraisingham

  • 1Key University Research Centre in Health Technologies, University of Technology, Sydney, Australia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary
This summary is machine-generated.

Driver fatigue significantly increases road accident risks. Analyzing electroencephalogram (EEG) signals using sample entropy and difference plots can detect fatigue by identifying changes in brain signal regularity and variability.

More Related Videos

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

Polygraphic Recording Procedure for Measuring Sleep in Mice
08:45

Polygraphic Recording Procedure for Measuring Sleep in Mice

Published on: January 25, 2016

Related Experiment Videos

Last Updated: Jun 26, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

Polygraphic Recording Procedure for Measuring Sleep in Mice
08:45

Polygraphic Recording Procedure for Measuring Sleep in Mice

Published on: January 25, 2016

Area of Science:

  • Neuroscience
  • Road Safety
  • Biomedical Engineering

Background:

  • Driver fatigue is a major cause of motor vehicle accidents, contributing to 20-40% of crashes.
  • Countermeasure devices aim to prevent fatigue-related accidents by detecting physiological fatigue indicators.
  • Electroencephalogram (EEG) offers a promising technique for monitoring fatigue due to its high temporal resolution.

Purpose of the Study:

  • To investigate the effectiveness of nonlinear analysis techniques for detecting driver fatigue.
  • To analyze electroencephalogram (EEG) signals during simulated driving tasks in alert and fatigued states.
  • To quantify changes in EEG signal complexity and variability associated with fatigue.

Main Methods:

  • Utilized nonlinear analysis methods, specifically sample entropy and second-order difference plots.
  • Quantified EEG signal characteristics using the central tendency measure (CTM).
  • Collected EEG data from participants during a simulated driving task under alert and fatigue conditions.

Main Results:

  • Both sample entropy and second-order difference plots demonstrated significant changes in EEG signals from alert to fatigue states.
  • An increase in regularity of EEG signals was observed as drivers transitioned to a fatigued state.
  • A decrease in the variability of EEG signals was also noted with increasing fatigue.

Conclusions:

  • Nonlinear analysis of EEG signals, including sample entropy and second-order difference plots, can effectively detect driver fatigue.
  • Changes in EEG signal regularity and variability are reliable indicators of fatigue.
  • These findings support the development of EEG-based countermeasure devices for enhancing road safety.