Prevention of knee joint injuries in football basic training under the constraints of biomechanics model

  • Jinhui Li College of Physical Education, Qiqihar University, Qiqihar 161006, China
  • Wei Fu Basic department, Wuhan Donghu University, Wuhan 430212, China
Keywords: biomechanics model; knee injury prevention; motion trajectory analysis; inverse dynamics analysis; personalized training
Article ID: 993

Abstract

Traditional research on knee injury prevention lacks scientific and targeted research due to the lack of biomechanics quantitative analysis and the failure to fully incorporate the specificity of football, making it difficult to effectively reduce the risk of injuries to athletes. This paper solves the problems of insufficient quantification and lack of specificity in traditional research by introducing a biomechanics model. This paper uses open source 3D modeling software to construct an anatomical model of the knee joint, uses an ordinary camera combined with Kinovea software to analyze the motion trajectory of the knee joint, uses IMU (Inertial Measurement Unit) sensors to collect motion data, and uses OpenSim software to perform force analysis. Based on these analysis results, this paper designs a personalized knee injury prevention training program and conducts a basic training comparison experiment. The medial-lateral stress ratio of the knee joint in the experimental group is eventually reduced to 0.92, which reduces the peak force on the knee joint, improves knee joint stability, and the injury risk score fluctuation decreases during training, with the lowest being 7.3. The results show that the solution proposed in this paper provides scientific, systematic and practical guidance for the prevention of knee injuries in basic football training, and improves the safety and effectiveness of training.

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Published
2024-12-30
How to Cite
Li, J., & Fu, W. (2024). Prevention of knee joint injuries in football basic training under the constraints of biomechanics model. Molecular & Cellular Biomechanics, 21(4), 993. https://doi.org/10.62617/mcb993
Section
Article