Acceso usuarios
Bing Yi, Xueting Zhang, Pu Liu, Guibo Liu
The perfect multi-source health monitoring system is essential to the effective enhancement of the physical and mental health of college students. This paper innovatively applies the analysis of multi-source health monitoring data to the integrated management of college students’ sports and psychology and designs the functions of the integrated management platform. Firstly, a college students’ sports and psychological integrated management platform was established, along with its functional modules and platform framework. Next, the sensing approach for multi-source health data was introduced, and data sensing was carried out to obtain the data about the physiological and mental health of college students. On this basis, the integrated health of college students was predicted, the common diseases of college students were diagnosed based on electronic medical records (EMRs), and the emotions of college students were regulated through personalized recommendations of sports. Finally, an outlier detection method was given for multi-source health monitoring data. To verify its performance, the proposed approach was applied to derive the psychological states of subjects through empirical modal decomposition of multisource health data and recommend personalized sports to subjects. The results confirm the effectiveness of multi-source health monitoring and analysis in the integrated management of college students’ sports and psychology
