Intelligent application of biosensor system in university sports health monitoring
Abstract
The study seeks to examine the design, development, and assessment of an intelligent biosensor system for tracking the health status of university athletes with specific reference to motion, temperature, and blood pressure. The system incorporates state-of-the-art sensor technologies and data analytics for non-contact, continuous tracking of physiological signs during exercise. A series of tests under resting, moderate, and high activity levels provided high accuracy values with MAE below 5 mmHg for blood pressure and 0.3 °C for temperature. The motion data showed a significant correlation with the reference systems, indicating that the system was accurate in dynamic conditions. The findings show that the biosensor system can help manage sports health by detecting overexertion, illness, and stress early to protect the athletes and improve their performance.
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