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Related Concept Videos

Brain Waves01:23

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
Fatigue01:21

Fatigue

Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...

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Related Experiment Video

Updated: May 25, 2026

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

Regional brain wave activity changes associated with fatigue.

Ashley Craig1, Yvonne Tran, Nirupama Wijesuriya

  • 1Rehabilitation Studies Unit, Sydney Medical School-Northern, The University of Sydney, Ryde, Australia. a.craig@sydney.edu.au

Psychophysiology
|February 14, 2012
PubMed
Summary
This summary is machine-generated.

Monitoring driver fatigue using brain waves is key. This study found that as drivers fatigue, slow brain wave activity (theta, alpha) increases across the cortex, while fast wave activity (beta) also rises, especially in frontal areas.

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A Rat Model of Central Fatigue Using a Modified Multiple Platform Method
05:13

A Rat Model of Central Fatigue Using a Modified Multiple Platform Method

Published on: August 14, 2018

Related Experiment Videos

Last Updated: May 25, 2026

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

A Rat Model of Central Fatigue Using a Modified Multiple Platform Method
05:13

A Rat Model of Central Fatigue Using a Modified Multiple Platform Method

Published on: August 14, 2018

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Human Factors Engineering

Background:

  • Brain wave activity assessment is a potential method for monitoring driver fatigue.
  • Previous systematic reviews show inconsistent findings regarding brain wave changes during fatigue.
  • Understanding these changes is crucial for developing effective fatigue countermeasures.

Purpose of the Study:

  • To investigate specific changes in brain wave activity associated with fatigue during a simulated driving task.
  • To clarify the relationship between different brain wave bands and fatigue onset in drivers.

Main Methods:

  • 48 healthy, nonprofessional drivers performed a simulated driving task until fatigue was reached.
  • Electroencephalography (EEG) was used to record brain wave activity throughout the task.
  • Analysis focused on changes in slow (delta, theta, alpha) and fast (beta) wave activity across cortical regions.

Main Results:

  • Fatigue was associated with increased slow wave activity (theta, alpha 1 and 2 bands) across the entire cortex.
  • No significant changes were observed in delta wave activity.
  • Fast wave activity, particularly beta waves, substantially increased, predominantly at frontal sites.

Conclusions:

  • Brain fatigue leads to a general slowing of cortical activity.
  • Increased beta activity suggests the brain's effort to maintain vigilance despite declining capacity.
  • These findings provide a clearer neurophysiological marker for driver fatigue.