Novel tibial tuberosity traction model

Abstract

The invention discloses a novel tibial tuberosity traction model which comprises surface skin and a femur, a hip joint is installed above the femur, a groove is formed in the inner side of the hip joint, a ball socket type joint is arranged in the groove, a tibia is arranged below the femur, and the femur and the tibia are located in the surface skin. A connecting ring is connected between the tibia and the femur, an ankle joint is arranged at the bottom of the tibia, and a simulated knee joint is installed on the front side of the connecting ring. According to the novel tibial tuberosity traction model, the surface skin, the femur and the tibia are manufactured strictly according to human anatomy, internal muscles are filled with elastic sponge, the first detachable skin, the second detachable skin and the third detachable skin are consistent in structure, splicing with the surface skin is completed through patches and fixing nails, and the novel tibial tuberosity traction model is detachable. The model is mainly used for evaluating traction quality, regional sclerotin and skin can be replaced, and repeated use of the model is facilitated.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps train people how to perform various movements accurately without causing any discomfort or injury from traditional methods like physical exercise machines. Instead it uses special surfaces called splashboards instead of regular clothes worn against the person being trained. These splats absorb shock waves while allowing them to move smoothly along their entire length. They have holes inside through which airflow passes but there may still be some space left behind if the training needs further improvement. Overall, these technical improvements make learning better than just relying solely on physical activity alone.

Problems solved by technology

This technical problem addressed by this patented method relates to learning how to train knees during physical therapy without having them fixed permanently while still being able to move around freely within an artificial environment like living tissue. Current methods involve manually adjusting weights based only upon visual feedback from physiotherapists who have trained muscles directly onto patient bodies that were previously set up. However, current structures cannot accurately simulate these movements over time when moving about inside different environments such as those affected by accident conditions or other environmental changes.

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