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 Experiment Video

Updated: May 21, 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

[Mental fatigue assessment based on physiological signals].

Lan Xia1, Jianrong Wang, Feixue Liang

  • 1Southern Medical University, Guangzhou, China. xialan1987@yeah.net

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University
|June 16, 2012
PubMed
Summary

Physiological signals like electrodermal activity and heart rate variability can noninvasively assess mental fatigue. These markers effectively differentiate between a rested state and mental fatigue during tasks.

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 between glycolipid metabolism 7 factors (GLM7) and pregnancy loss in women aged 18-35 years: evidence from NHANES 2009-2018.

Lipids in health and disease·2026
Same author

[The role of mitochondrial gluconeogenesis in de novo serine synthesis in mouse hepatocytes under high-selenium conditions].

Wei sheng yan jiu = Journal of hygiene research·2026
Same author

Context-dependent regulation of IgH V(D)J recombination by cohesin-STAG1 and cohesin-STAG2.

Nature communications·2026
Same author

Lateral septum GABAergic neurons mediate the effects of dexmedetomidine on allodynia and sleep in a male mouse model of neuropathic pain.

Nature communications·2026
Same author

Development of diagnostic criteria for Behçet's uveitis in a Chinese population.

The British journal of ophthalmology·2026
Same author

A rapid molecular assay for the detection of Mycobacterium avium using loop-mediated isothermal amplification (LAMP) combined with a lateral flow biosensor.

Diagnostic microbiology and infectious disease·2026

Area of Science:

  • Physiological monitoring
  • Neuroscience
  • Human-computer interaction

Context:

  • Mental fatigue impacts cognitive performance and reaction times.
  • Objective assessment of mental fatigue is crucial for performance optimization and safety.
  • Current methods for assessing mental fatigue can be invasive or subjective.

Purpose:

  • To evaluate the efficacy of noninvasive physiological signal monitoring for assessing mental fatigue.
  • To identify specific physiological parameters indicative of mental fatigue.
  • To establish a practical method for real-time mental fatigue detection.

Summary:

  • This study analyzed electrodermal activity, heart rate, and heart rate variability in 14 subjects performing reaction-time tasks.
  • Significant differences in skin conductance, heart rate, and heart rate variability parameters were observed between sober and mentally fatigued states.

More Related Videos

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 21, 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

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

  • These physiological changes indicate a reliable physiological signature of mental fatigue.

    • Impact:

    • Provides a noninvasive, effective, and practical approach for assessing mental fatigue.
    • Potential applications in monitoring operator fatigue in high-stakes environments (e.g., aviation, driving).
    • Enables objective measurement of cognitive load and fatigue, aiding in performance management and well-being.