Student health data early warning and intervention method and system

Abstract

The invention provides a student physical health data early warning and intervention method and system; the method comprises the steps: obtaining the student physical health data of a target student, and calculating the vital capacity index, the height and weight index, the body composition index and the balance capability index of the target student according to the student physical health data; then, comparing the vital capacity index, the height and weight index, the body composition index and/or the balance ability index of the target student with corresponding preset standard indexes, and if the vital capacity index, the height and weight index, the body composition index and/or the balance ability index of the target student do not meet the preset standard indexes, performing early warning and intervention on the target student. By analyzing the physical health data of the students, reliable support can be provided for the students to formulate personalized exercise schemes, adjust exercise habits and make up for health shortages; in addition, the analysis result of the invention also helps education administrative departments, schools, physical education teachers and students' parents to know the physical condition of the students in time, and provides a scientific basis for performing exercise intervention on the students in the later period, thereby improving the physical health condition.

Description

technical field [0001] The invention relates to the technical field of health data processing, in particular to a student health data early warning and intervention method and system. Background technique [0002] The early warning of students' physical health data is aimed at student groups or individuals, based on the students' physical health test data, to systematically analyze and judge the source, type, degree and trend of the risk of physical decline, and to issue corresponding early warning methods. [0003] According to the latest National Physical Fitness Monitoring Bulletin, the results of the national student physical fitness and health survey show that the physical health data of most students are still at the pass or fail level, and the proportion of good and excellent students is relatively small. The reason comes down to two main points: First, most students pay less attention to the physical fitness test. Not only do they not perform targeted exercises befor...

AI Technical Summary

Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a student health data early warning and intervention method and system, which is used to so

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