Judgment method for dynamic soft tissue balance during total knee replacement based on support vector machine

Abstract

The invention relates to the technical field of total knee replacement, and in particular relates to a judgment method for dynamic soft tissue balance during total knee replacement surgery based on asupport vector machine. The method comprises the following steps: collecting posture angle data of leg postures, and establishing a dynamic soft tissue balance judgment formula model; training the dynamic soft tissue balance judgment formula model by using the support vector machine; and performing classification output by using the support vector machine. In the judgment method of the dynamic soft tissue balance during the total knee replacement surgery based on support vector machine, the dynamic soft tissue balance judgment formula is established, and soft tissue balance judgment is performed to guide doctors to make timely correction through a clinical technical means during operation, so that realize accurate recovery of a lower limb force line is realized; and a supervised machine learning classification algorithm is used for soft tissue balance judgment, so that errors caused by formula judgment are reduced, and the accuracy of balance judgment results is improved.

Description

technical field [0001] The invention relates to the technical field of total knee replacement, in particular to a method for judging dynamic soft tissue balance in total knee replacement based on a support vector machine. Background technique [0002] Total knee arthroplasty is currently the most reliable treatment for severe knee OA, with a success rate of over 90%. The key to the success of total knee replacement surgery lies in the correct balance of osteotomy and soft tissue, which together enable the accurate reconstruction of the normal mechanical force line of the lower limbs during the operation. After the operation, the pain of the patient disappears, the gait is improved, and good joint motion function is obtained. patient's quality of life. The traditional method of judging soft tissue balance is that doctors use their experience to feel the tension of the inner and outer soft tissues with their hands in different postures of the knee joint. There are subjective ...

AI Technical Summary

Problems solved by technology

At present, relatively mature soft tissue balance technologies are mainly computer navigation systems and Verasense sensor systems developed abroad. Although these systems have solved the problem of intraoperative soft tissue balance judgment to a certain extent, their learning time is long and the operation is complicated, which prolongs the operation time. , which increases the risk of intraoperative infection. At the same time, there are many approximations in the construction of the formula model, and it is necessary to determine the correction coefficient and balance judgment pressure threshold based on clinical trials. Even so, there are still errors

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