Dynamic evolution of college students’ physical health test data based on biomechanics
Abstract
This study explores the dynamic evolution of physical fitness data in college students from a biomechanics perspective, analyzing the impact of different exercise intensities on physical health. Using biomechanical modeling methods, combined with the Euler-Lagrange equation, joint torque calculation formula, and health index variation model, experiments were designed and data were collected. The exercise process under different intensities was simulated, measuring indicators such as health index change rate, peak joint torque, energy efficiency ratio, physical fitness distribution, and dynamic coordination score. The experimental results indicate that high-intensity exercise significantly improves the health index of college students, with the greatest changes observed in the moderate and high-intensity groups. High-intensity exercise results in larger joint torques and energy efficiency ratios, suggesting higher joint loads and energy consumption. The improvement in health index is closely related to an individual’s initial fitness level, while dynamic coordination scores are lowest in the high-intensity group, indicating that high-intensity exercise may affect coordination. Therefore, exercise intervention programs should be adjusted based on individual differences to optimize health improvement outcomes.
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