Biomechanical and biochemical indexes of sprinters during training based on health monitoring: A Mechanobiological perspective
Abstract
To promote and strengthen the scientific nature of sprint training, this study investigates the interplay between biochemical indicators and biomechanical responses during athlete training using a Zigbee-based health monitoring system. This system conducts real-time health monitoring of sprinters. The system uses sensors to collect human physiological signals and transmits them to the monitoring center through wired or wireless methods. The human motion recognition algorithm is used to establish a state space model of human body acceleration, and dynamic modeling methods and Kalman filtering for precise estimation and analysis of the athlete's biomechanical state. significant differences in the biochemical indicators of sprinters at different training stages, highlighting how these changes correlate with biomechanical responses such as force production, joint angles, and movement patterns. This research underscores the importance of integrating biomechanical assessments with biochemical monitoring to provide a comprehensive understanding of athletes’ physiological status and optimize training regimens. The insights gained from this study contribute to the fields of biomechanics and mechanobiology, offering valuable implications for improving athletic performance and health monitoring.
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