EVIDENCE-BASED SPORTS MEDICINE TO PREVENT KNEE JOINT INJURY IN TRIPLE JUMP

Abstract

ABSTRACT Introduction: Triple jump has high technical requirements. However, in recent years, the frequent knee injuries during the training of triple jump athletes have seriously impacted their training and competition levels. Objective: This article proposes a method for modeling knee joint injury caused by triple jump athletes overtraining based on an improved principal component analysis algorithm. It also studied the relationship between movement amplitude and sports injury. Methods: We obtained the optimal hyperplane showing data on the relationship between sports injury and joint motion range through the triple jump in the decision table. Then, the relationship model between the two was established. The article estimated the principal components of triple jump athletes’ knee joint injuries and established an accurate model relating the overtraining of these athletes and their knee joint injuries. Results: The accuracy of improved algorithm modeling is closer to that of physical examination outpatient records than to that of traditional algorithm modeling. Conclusion: The relationship model between triple jump injury and joint motion range was established using the improved algorithm. This model can greatly improve the accuracy of the relationship between the two and can effectively prevent triple jump injuries. Level of evidence II; Therapeutic studies - investigation of treatment results.