Development of an IoT System for Monitoring Hamstring Muscle Activity

Hamstring injuries are among the most common in sports, and literature shows that several factors can contribute to the onset of injuries, such as muscle fatigue. In this context, IoT-based wearable technologies have emerged as valuable tools for monitoring muscle activity, enabling early detection of fatigue and helping to prevent injuries. Similarly, these devices enable the collection of physiological data which can be useful for understanding muscle fatigue. This study presents the development of a real-time monitoring system that uses a wearable device to assess hamstring muscle activity, collect physiological data and identify signs of fatigue. The prototype captures electromyographic signals and performs fatigue detection through frequency domain analysis, with a decrease in median frequency relative to baseline indicating fatigue onset. Experimental evaluations during hip lift exercises confirmed the system's ability to accurately identify fatigue patterns. Designed for scalability, the system architecture allows simultaneous monitoring of multiple users, making it suitable for both professional athletes and recreational users.