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Related Experiment Video

Updated: May 27, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

[Study on visual display terminal mental fatigue status based on physiological information].

Aihua Zhang1, Hua Yang, Lingjie Kong

  • 1College of Electrical and Information Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China. lutzhangah@163.com

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|November 22, 2011
PubMed
Summary

This study explored objective indicators for diagnosing visual display terminal (VDT) mental fatigue using temperature and electrocardiograph (ECG) signals. Findings suggest temperature and specific ECG parameters can effectively evaluate VDT mental fatigue status.

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Area of Science:

  • Physiological monitoring
  • Human-computer interaction
  • Biomedical signal processing

Context:

  • Visual display terminal (VDT) use is prevalent, often leading to mental fatigue.
  • Objective diagnostic tools for VDT-induced mental fatigue are currently lacking.
  • Understanding the physiological correlates of mental fatigue is crucial for workplace health.

Purpose:

  • To identify objective physiological indicators for diagnosing and evaluating mental fatigue induced by VDT use.
  • To analyze temperature and electrocardiograph (ECG) signals for reliable fatigue markers.
  • To compare physiological changes during and after a VDT mental fatigue task.

Summary:

  • Subjects underwent a VDT mental fatigue task while temperature and ECG signals were recorded.

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Last Updated: May 27, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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A Rat Model of Central Fatigue Using a Modified Multiple Platform Method
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Published on: August 14, 2018

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
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  • Analysis focused on time-domain temperature, and time/frequency-domain ECG parameters like heart rate (HR) and heart rate variability (HRV).
  • Significant changes in temperature (increase) and RR-PNN50 (increase) and S wavelet (decrease) were observed post-fatigue, with further changes upon recovery.

    • Impact:

    • This research offers a promising approach to developing objective diagnostic tools for VDT mental fatigue.
    • Identified physiological markers (temperature, RR-PNN50, S wavelet) could inform fatigue assessment and management strategies.
    • Findings contribute to understanding the physiological impact of prolonged VDT use and developing healthier work environments.