Athlete Health Status Assessment Based on Edge Computing Model and Large-Scale Multimedia Health Data Analysis

This study explores the athlete's health status evaluation system based on an edge computing model and large-scale multimedia health data analysis in order to improve the assessment effect of athletes' current health state. In addition to that, this research builds a wireless signal propagation model in edge areas using bicubic polynomial interpolation, improves the accuracy of DEM data by using bicubic polynomial interpolation, and digitally represents the sports field by utilizing DEM data. In addition to that, the model and DEM data are utilized in this paper to realize the site selection process for base station networking. The experimental analysis demonstrates that the athletes' health status evaluation system suggested in this research, which is based on the edge computing model and the large-scale multimedia health data analysis, has a good effect on the assessment of athletes' health.