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  4. Vol 5, Issue 1, 2025

Applied Research on Automated Monitoring of Athletic Training Metrics through Public Health Service Platforms

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DOI: 10.23977/phpm.2025.050112 | Downloads: 7 | Views: 408

Author(s)

Miaomiao Zhang 1, Xiuli Lyu 2, Huan Shu 3,4, E. M. Serba 5, G.G. Alekhina 5, A. N. Suvorov 5, Danyang Guo 4,5

Affiliation(s)

1 The Second Nanning People’s Hospital, Nanning 530000, Guangxi Province, China
2 Micromiro(Hainan)Industrial Co.,Ltd, Sanya 572000, Hainan Province, China
3 Russia-China International Microecology Research Center, Institute of Experimental Medicine, Saint Petersburg 190000, Russia
4 Russia-China Bioengineering and Biotechnology Research Center, Moscow State University, Moscow 119991, Russia
5 Russian Scientific Research Institute of Food Biotechnology, Moscow, Russia

Corresponding Author

Danyang Guo

ABSTRACT

Although the government has been increasing its investment in sports in public services in recent years, the matching between these investments and people's actual needs for fitness is not high, and people's satisfaction is not high. At present, the national fitness plan for all is still relatively macro. It does not combine the people's fitness needs with their physical health needs, and does not form a systematic sports training index system, nor does it have a clear special plan. The lack of a set of systematic sports training indicators and a set of clear monitoring methods has caused certain constraints on the effective promotion of security measures such as organization construction, human resources construction, site and facilities construction, which has led to the imperfection of China's public service system and the single operation mechanism, and there is a big gap between the growing needs of the people for fitness and health. Therefore, this paper proposes analytic hierarchy process (AHP) to evaluate the automatic monitoring of sports training indicators. The experimental results showed that in sample 1, when the monitoring object was 250, the monitoring accuracy of platform 1 and platform 2 were 56.9% and 78.8%respectively. In sample 2, when the monitoring object was 250, the monitoring accuracy of platform 1 and platform 2 were 64.5% and 90.1% respectively. It can be seen that the monitoring accuracy of platform 2 was higher than that of platform 1 no matter which sample. 

KEYWORDS

Public Health Service Platform, Analytic Hierarchy Process, Sports Training Indicators, Automatic Monitoring

CITE THIS PAPER

Miaomiao Zhang, Xiuli Lyu, Huan Shu, E. M. Serba, G.G. Alekhina, A. N. Suvorov, Danyang Guo, Applied Research on Automated Monitoring of Athletic Training Metrics through Public Health Service Platforms. MEDS Public Health and Preventive Medicine (2025) Vol. 5: 78-88. DOI: http://dx.doi.org/10.23977/phpm.2025.050112.

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