Exercise health management method based on big data technology

Abstract

The invention relates to the technical field of health management, in particular to an exercise health management method based on a big data technology. Comprising the steps of data acquisition, and the data acquisition comprises file establishment, item physical examination, exercise knowledge training, analysis of corresponding individual conditions, adjustment of exercise amount corresponding to the individual conditions, body function detection after exercise, evaluation according to the exercise, and corresponding adjustment and information data updating according to a result; the item physical examination is arranged at the rear end of the file establishment, the exercise knowledge training is arranged at the rear end of the item physical examination, the corresponding individual condition analysis is arranged at the rear end of the exercise knowledge training, and the corresponding individual condition adjustment exercise amount is arranged at the rear end of the corresponding individual condition analysis. And the post-exercise body function detection row is arranged at the rear end of the corresponding individual condition adjusting exercise amount. The method has the advantages that a scientific data file is established, analysis is performed according to a physical examination result, targeted adjustment is performed, and the method can be used for exercise health management.

Description

Technical Field

[0001] The present invention relates to the field of health management technology, and in particular to a sports health management method based on big data technology. Background Art

[0002] Scientific research shows that lack of exercise is one of the main reasons for sub-health, and that active physical activity and scientific exercise are effective strategies to reduce the cost of chronic non-communicable diseases, and play an important role in preventing, delaying, reversing and treating chronic diseases.

[0003] Lack of physical activity and sitting still are common lifestyles today, and health problems caused by lack of physical activity have attracted attention from people from all walks of life.

[0004] In an environment that advocates exercise and fitness, we cannot ignore the fact that lack of guidance and planning for exercise, blind exercise and incorrect exercise methods often lead to certain exercise risks. When inappropriate types of exercise and inappropriate amounts of exercise may have certain negative effects on the human body, how to carry out scientific and effective exercise becomes a very important issue. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the above-mentioned background technology, and provide a sports health management method based on big data technology, characterized in that it includes data collection, and the data collection includes establishing archives, project physical examination, sports knowledge training, corresponding individual condition analysis, adjusting the amount of exercise according to the individual condition, post-exercise body function detection, evaluation according to this exercise, corresponding adjustment according to the results and information data update;

[0006] The project physical examination is arranged at the file creation back end, the sports knowledge training is arranged at the project physical examination back end, the corresponding individual condition analysis is arranged at the sports knowledge training back end, the corresponding individual condition adjustment of exercise volume is arranged at the corresponding individual condition analysis back end, the post-exercise body function detection is arranged at the corresponding individual condition adjustment of exercise volume back end, the evaluation based on this exercise is arranged at the post-exercise body function detection back end, the corresponding adjustment based on the result is arranged at the evaluation based on this exercise back end, and the information data update is arranged at the corresponding adjustment based on the result back end.

[0007] Preferably, the physical examination project includes medical history information, self-status feedback, basic physical skills detection, banned drug detection, current exercise level detection and expected exercise intensity detection, the self-status feedback is arranged at the back end of the medical history information, the basic physical skills detection is arranged at the back end of the self-status feedback, the banned drug detection is arranged at the back end of the basic physical skills detection, the current exercise level detection is arranged at the back end of the banned drug detection, and the expected exercise intensity detection is arranged at the back end of the current exercise level detection.

[0008] The beneficial effects of the present invention are: establishing a scientific data file, analyzing according to the physical examination results, and making targeted adjustments, which can be used as sports health management. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0010] The present invention is described below with specific embodiments, but is not intended to be limiting of the present invention.

[0011] like Figure 1 As shown in the figure, a sports health management method based on big data technology is

[0012] Embodiment 1:

[0013] Including data collection, the data collection includes the establishment of archives, project physical examination, sports knowledge training, corresponding individual condition analysis, adjustment of exercise volume according to individual conditions, post-exercise body function testing, evaluation based on this exercise, corresponding adjustment based on the results and information data update;

[0014] The project physical examination is arranged at the file creation back end, the sports knowledge training is arranged at the project physical examination back end, the corresponding individual condition analysis is arranged at the sports knowledge training back end, the corresponding individual condition adjustment of exercise volume is arranged at the corresponding individual condition analysis back end, the post-exercise body function detection is arranged at the corresponding individual condition adjustment of exercise volume back end, the evaluation based on this exercise is arranged at the post-exercise body function detection back end, the corresponding adjustment based on the result is arranged at the evaluation based on this exercise back end, and the information data update is arranged at the corresponding adjustment based on the result back end.

[0015] The physical examination project includes medical history information, self-status feedback, basic physical skills detection, banned drug detection, current exercise level detection and expected exercise intensity detection. The self-status feedback is arranged at the back end of the medical history information, the basic physical skills detection is arranged at the back end of the self-status feedback, the banned drug detection is arranged at the back end of the basic physical skills detection, the current exercise level detection is arranged at the back end of the banned drug detection, and the expected exercise intensity detection is arranged at the back end of the current exercise level detection.

[0016] Embodiment 2:

[0017] Including data collection, the data collection includes establishing archives, project physical examination, sports knowledge training, corresponding individual condition analysis, corresponding individual condition adjustment of exercise volume, post-exercise body function detection, evaluation based on this exercise, corresponding adjustment and information data update based on the results, the project physical examination includes medical history information, self-status feedback, basic physical skills detection, illegal drug detection, current exercise level detection and expected exercise intensity detection, the self-status feedback is arranged at the back end of the medical history information, the basic physical skills detection is arranged at the back end of the self-status feedback, the illegal drug detection is arranged at the back end of the basic physical skills detection, and the current exercise level detection is arranged at the back end of the illegal drug detection The back end, the expected exercise intensity detection is arranged in the current exercise level detection back end, the project physical examination is arranged in the archive creation back end, the sports knowledge training is arranged in the project physical examination back end, the corresponding individual condition analysis is arranged in the sports knowledge training back end, the corresponding individual condition adjustment exercise amount is arranged in the corresponding individual condition analysis back end, the post-exercise body function detection is arranged in the corresponding individual condition adjustment exercise amount back end, the evaluation based on this exercise is arranged in the post-exercise body function detection back end, the corresponding adjustment based on the result is arranged in the evaluation based on this exercise back end, and the information data update is arranged in the corresponding adjustment based on the result back end.

[0018] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A sports health management method based on big data technology, characterized in that: Including data collection, the data collection includes the establishment of archives, project physical examination, sports knowledge training, corresponding individual condition analysis, adjustment of exercise volume according to individual conditions, post-exercise body function testing, evaluation based on this exercise, corresponding adjustment based on the results and information data update; The project physical examination is arranged at the file creation back end, the sports knowledge training is arranged at the project physical examination back end, the corresponding individual condition analysis is arranged at the sports knowledge training back end, the corresponding individual condition adjustment of exercise volume is arranged at the corresponding individual condition analysis back end, the post-exercise body function detection is arranged at the corresponding individual condition adjustment of exercise volume back end, the evaluation based on this exercise is arranged at the post-exercise body function detection back end, the corresponding adjustment based on the result is arranged at the evaluation based on this exercise back end, and the information data update is arranged at the corresponding adjustment based on the result back end.

2. According to claim 1, a sports health management method based on big data technology is characterized in that: The physical examination project includes medical history information, self-status feedback, basic physical skills detection, banned drug detection, current exercise level detection and expected exercise intensity detection. The self-status feedback is arranged at the back end of the medical history information, the basic physical skills detection is arranged at the back end of the self-status feedback, the banned drug detection is arranged at the back end of the basic physical skills detection, the current exercise level detection is arranged at the back end of the banned drug detection, and the expected exercise intensity detection is arranged at the back end of the current exercise level detection.

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