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Distinct mental fatigue mechanisms under prolonged work and night shifts Implications for safety management in a real-world oil drilling site
Different mental fatigue causes during long daytime and night work shifts and their safety risks at an oil drilling site
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Abstract
The machine learning model achieved a 93.46% classification accuracy for identifying mental fatigue in workers.
- Distinct heart rate changes were observed under prolonged work and night-shift conditions, indicating effects on the body's stress response.
- EEG analysis revealed significant changes in brain activity, particularly in the α band, associated with mental fatigue.
- Increased functional connectivity was noted in the left frontal lobe, suggesting alterations in cognitive processing during fatigue.
- Night-shift work produces different fatigue characteristics compared to day shifts, highlighting the need for specific safety management strategies.
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