Factors and clinical characteristics of anterior cruciate ligament injury caused by basketball training injury based on multimedia visual images
Abstract
With the coordinated development of China’s national economy and the people’s awareness of the importance of physical and mental health, people have become active in sports, and the development of sports medical care for athletes is particularly important. In training, athletes are likely to have ligament injuries, which makes athletes face rehabilitation, prevention and other problems. This paper describes the joint structure, injury factors and preventive measures of the anterior cruciate ligament, and compares the detection algorithm based on multimedia visual image with the traditional algorithm, focusing on the contrast between the clarity of the cruciate ligament injury image and the image information obtained. The results showed that the algorithm under machine learning improved 16.7% in the clarity of the athletes’ ligaments compared with the traditional algorithm, and the amount of information obtained increased 0.168, which made it better to understand the situation of the basketball players’ cruciate ligaments, so as to better prevent them, providing the best rehabilitation training for basketball players. This paper has a certain reference significance for basketball players in the research of cruciate ligament injury.
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