LAUSR

The rapid development of today’s society and the rapidly increasing incidence of skeletal injuries caused by traffic and industrial accidents have led to a significant increase in the number of patients with fractures accompanied by severe soft tissue injuries, as well as an increased incidence of osteomyelitis and bone defects. Many of these patients cannot be treated with internal fixators and can only be treated with external fixators. The Taylor Bone External Fixator is the most advanced bone external fixation brace in the field of orthopedics, in which the algorithm study of the forward and backward solution of the computer software that accompanies the Taylor Bone External Fixator is the key. There is still a huge gap between the current research on kinematic orthotropic solution algorithms based on Taylor fixator structures and the actual clinical applications, which is limited by the accuracy of the solution of the correction parameters or the solution method. In this paper, we analyze the positional kinematic model based on the Taylor structure platform and derive the equations for solving the six positional parameters of the fracture segment in the dynamic platform with this model. A multi-objective genetic algorithm and Pareto optimization theory are combined to propose a solution to the kinematic positive solution problem of the Taylor Spatial Frame (TSF) structure, and the experimental data are verified to be extremely correlated using Pearson correlation coefficients. According to the comparison experiments between the multi-objective optimization algorithm and Newton-Raphson for solving nonlinear problems, the comparison results show that the multi-objective optimization algorithm significantly improves the accuracy of the parameter solutions based on the Taylor frame strut installation parameters, with a minimum improvement of about 0.8 mm accuracy. And in this paper, based on the human tibial fracture as the test object, using the prescription data generated by the orthopedic system to simulate the healing process of the tibial fracture end, proved the accuracy and feasibility of the software system, and achieved the expected orthopedic effect.