Study of Multi-objective Genetic Algorithm on Taylor External Fixation
نویسندگان
چکیده
The rapid development of today’s society and the rapidly increasing incidence skeletal injuries caused by traffic industrial accidents have led to a significant increase in number patients with fractures accompanied severe soft tissue injuries, as well an increased osteomyelitis bone defects. Many these cannot be treated internal fixators can only external fixators. Taylor Bone External Fixator is most advanced fixation brace field orthopedics, which algorithm study forward backward solution computer software that accompanies key. There still huge gap between current research on kinematic orthotropic algorithms based fixator structures actual clinical applications, limited accuracy correction parameters or method. In this paper, we analyze positional model structure platform derive equations for solving six fracture segment dynamic model. A multi-objective genetic Pareto optimization theory are combined propose positive problem Spatial Frame (TSF) structure, experimental data verified extremely correlated using Pearson correlation coefficients. According comparison experiments Newton-Raphson nonlinear problems, results show significantly improves parameter solutions frame strut installation parameters, minimum improvement about 0.8 mm accuracy. And human tibial test object, prescription generated orthopedic system simulate healing process end, proved feasibility system, achieved expected effect.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3170452