Huang Shimeng, Luo Qiulan, Liao Jingwen
Swimming Teaching and Research Office, Guangzhou Sport University, Guangzhou, 510500 Guangdong, China.
Department of Sports, Central China Normal University, Wuhan, 430070 Hubei, China.
Appl Bionics Biomech. 2022 Apr 26;2022:2573058. doi: 10.1155/2022/2573058. eCollection 2022.
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.
游泳运动员在运动过程中必须充分调动全身肌肉，因此有必要研究如何保护游泳运动员免受肌肉损伤。如今，肌肉损伤逐年增加，越来越多的运动员受到影响。所以，研究肌肉损伤的原因并探索更有效的治疗方法已成为运动医学领域的重要研究课题。本研究主要基于深度学习来分析支链氨基酸对游泳运动员肌肉损伤的保护作用。由于环境复杂多变且存在未知因素的干扰，单一传感器无法满足获取信息的需求。因此，人们开发了多传感器信息融合技术来获取足够的信息。多传感器数据融合技术可以综合每个传感器的信息，进而获得更全面、准确的决策信息。本研究主要基于多传感器融合和深度学习来分析支链氨基酸对游泳运动员肌肉健康信息的影响。最后，本文设计了两个实验。第一个实验结果表明，在运动后三天内，服用支链氨基酸补充剂的实验组疼痛程度比未服用支链氨基酸补充剂的对照组低19%。第二个实验结果如下：运动后，服用支链氨基酸补充剂的实验组肌酸激酶活性值为4.38±1.45，服用安慰剂的对照组肌酸激酶活性值为5.42±2.12。这证明支链氨基酸可以通过降低肌酸激酶的活性来保护肌肉损伤。
