Methods for Monitoring Mental Fatigue Based on Biosignal Analysis

A protocol for inducing mental fatigue based on an associative learning task has been developed and tested. A comprehensive analysis of behavioral and physiological indicators revealed highly sensitive markers of fatigue. The key behavioral markers included task accuracy, reaction time, and an integral efficiency index. Physiological measurements recorded a significant increase in heart rate variability, a decrease in breathing depth, an increase in vasomotor fluctuations, a decrease in skin temperature, and an increase in electromyographic activity variability. Skin conductance and skin potential indicators did not show statistically significant changes. The obtained data indicate a comprehensive restructuring of autonomic regulation with a transition to an energy-saving mode. The identified markers are suitable for recording with wearable devices and can be used to develop systems for objective real-time monitoring of cognitive state.