Swimmers must fully mobilize the muscles of the whole body during exercise, and it is necessary to study the protection of swimmers from muscle damage. Now, muscle damage is increasing year by year, and more athletes are affected. Therefore, studying the causes of muscle injuries and exploring more effective treatments have become important research topics in the field of sports medicine. This study is mainly based on deep learning to analyze the protective effect of branched-chain amino acids on swimming athletes’ muscle injury. Due to the complex and changeable environment and the interference of unknown factors, a single sensor cannot meet the needs of obtaining information. Therefore, people have developed the technology of multisensor information fusion to obtain enough information. Multisensor data fusion technology can synthesize the information of each sensor and then obtain more comprehensive and accurate decision-making information. This study is mainly based on multisensor fusion and deep learning to analyze the impact of branched chain amino acids on Swimmers’ muscle health information. Finally, two experiments were designed in this article. The first experimental result showed that the pain level of the experimental group who took BCAA supplements was 19% lower than that of the control group that did not take the BCAA supplement within three days after exercise. The results of the second experiment show the following: after exercise, the creatine kinase activity value of the experimental group taking BCAA supplement was 4.38 ± 1.45 , and the creatine kinase activity value of the control group taking placebo was 5.42 ± 2.12 . It proves that BBCA can protect muscle damage by reducing the activity of creatine kinase.

The development of medical information technology has rapidly promoted the development of medical information technology towards intelligence. Health medical data provides basic data resource protection for intelligent medical services and smart medical services. This article abstracts the typical models of domestic and international health medical information management services, and provides theoretical basis and practical reference for the building of an evaluation index system for health management service capabilities. An system for health management service capabilities under a data sharing standard system was constructed, and the status and linkage of health management services were investigated and comprehensively evaluated to provide an index system and empirical data for evaluating hospital health management service capabilities. Finally, analyze the advantages and disadvantages of health management services under the medical consortium framework, propose countermeasures to improve the health management service system, provide decision-making references for units to improve their health management service capabilities, optimize health management service models, and formulate health management services for relevant government departments Provisional policies to promote the implementation of health management.