This article explores the feasibility of integrating wearable physiological sensors into high-fidelity healthcare simulation to monitor cognitive load and fatigue. Using electrocardiogram (ECG) and galvanic skin response (GSR) sensors, we captured real-time physiological data from nursing students engaged in both virtual and manikin-based simulation scenarios. Signal processing confirmed data quality, and preliminary findings demonstrated that wearable physiological sensors can detect fluctuations in sympathetic nervous system activity related to task complexity and simulation demands. The results affirm the practicality of using wearable sensors in simulation operations and support their potential to enhance learner assessment, optimize scenario design, and advance research on stress and performance in healthcare education. This pilot project underscores wearable physiological sensors as a feasible and valuable tool for decoding human responses in complex training environments.
