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Responsive upper limb and cognitive fatigue measures during light precision work: an 8-hour simulated micro-pipetting
Marcus Yung1, Richard P Wells1,2
1a Department of Kinesiology , University of Waterloo , 200 University Avenue West, Waterloo , Canada.
Ergonomics
|September 30, 2016
Summary
This study identified nine responsive fatigue measures for low-intensity work over 8 hours, including perceived fatigue and tremor. Commonly used methods like electromyography were less effective in detecting fatigue in these occupations.
Area of Science:
- Occupational Health
- Ergonomics
- Human Factors Engineering
Background:
- Many jobs involve prolonged low-load tasks, a factor in work-related musculoskeletal disorders.
- Existing fatigue studies often overlook these low-intensity activities.
- Previous fatigue measurements in light work showed inconsistent results.
Purpose of the Study:
- To identify fatigue measures sensitive to low force levels (<10% MVC) during an 8-hour workday.
- To evaluate a range of neuromuscular and cognitive fatigue indicators.
- To find reliable fatigue assessment tools for precision-based tasks.
Main Methods:
- An 8-hour micro-pipetting task was performed by 11 participants.
- A comprehensive set of fatigue measures, including neuromuscular and cognitive indicators, was recorded.
- Data analysis focused on identifying significant changes over the 8-hour period.
Main Results:
- Nine fatigue measures demonstrated significant responsiveness over the 8-hour period.
- Responsive measures included perceived fatigue, postural tremor, blink frequency, and critical flicker fusion frequency threshold.
- Standard measures like electromyography RMS amplitude and maximum voluntary contractions showed limited time-dependent effects.
Conclusions:
- Several field-usable fatigue measures are sensitive to low-intensity work over extended periods.
- Traditional fatigue monitoring tools may not be adequate for assessing risks in light manual or precision occupations.
- The findings support the use of alternative measures for better occupational fatigue assessment.
