Monitoring of biochemical indicators before and after quantitative load exercise for athletes based on computational intelligence
Abstract
Biochemical monitoring of sports training is a major part of training monitoring. It uses biochemical methods and techniques to measure some biochemical indicators in athletes during training, so that athletes can maximize their sports ability. But for a long time, people’s awareness of the importance of biochemical indicators monitoring of athletes is not enough, which is one of the main factors that restrict and affect the development of athletes themselves. In this paper, computational intelligence technology is used to research and analyze various indicators and strengths of athletes’ load intensity. It takes the changes of creatine kinase, heart rate and hemoglobin before and after quantitative load exercise as the entry point. And through this intelligent technology, the changes in the index data can be objectively and accurately reflected, so that it is hoped that the subsequent practical training can be guided more scientifically and the blindness of training can be reduced. The results showed that the activity of serum CK (creatine kinase) enzyme increased, and the heart rate also reached a peak immediately after training, which indicates that after the optimization of the training model, these biochemical indicators can make more scientific analysis of training volume, training intensity and recovery status. Among them, the maximum difference between the values of CK and BU (blood urea) is 10. At the same time, it can also provide some reference and reference for formulating more reasonable training methods and plans in the later stage and adjusting exercise load in time.
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