Study of Multiobjective Genetic Algorithm on Taylor External Fixation
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 inc...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9766206/ |
| _version_ | 1818554648350425088 |
|---|---|
| author | Jianmin Guo Jialong Su |
| author_facet | Jianmin Guo Jialong Su |
| author_sort | Jianmin Guo |
| collection | DOAJ |
| description | 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. In this paper, we analyze the positional kinematic model based on the Taylor Spatial Frame 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. The algorithm proposed in this paper has a minimum accuracy improvement of about 0.8 mm compared to the conventional Newton-Raphson in terms of the accuracy of the Taylor frame mounting parameters solution. Finally, based on the human tibial fracture as the test object, the healing process of the tibial fracture end was simulated using the prescription data generated by the orthopedic system, and the experimental results proved the accuracy and feasibility of the software system, and achieved the expected orthopedic effect. |
| first_indexed | 2024-12-12T09:42:45Z |
| format | Article |
| id | doaj.art-9b3cfcdd370045f69d15c2e3fe1b1f21 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-12T09:42:45Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9b3cfcdd370045f69d15c2e3fe1b1f212022-12-22T00:28:31ZengIEEEIEEE Access2169-35362022-01-0110469864699910.1109/ACCESS.2022.31704529766206Study of Multiobjective Genetic Algorithm on Taylor External FixationJianmin Guo0https://orcid.org/0000-0002-2834-0782Jialong Su1School of Computer Science and Technology, Tiangong University, Tianjin, ChinaSchool of Computer Science and Technology, Tiangong University, Tianjin, ChinaThe 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. In this paper, we analyze the positional kinematic model based on the Taylor Spatial Frame 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. The algorithm proposed in this paper has a minimum accuracy improvement of about 0.8 mm compared to the conventional Newton-Raphson in terms of the accuracy of the Taylor frame mounting parameters solution. Finally, based on the human tibial fracture as the test object, the healing process of the tibial fracture end was simulated using the prescription data generated by the orthopedic system, and the experimental results proved the accuracy and feasibility of the software system, and achieved the expected orthopedic effect.https://ieeexplore.ieee.org/document/9766206/Taylor bone external fixatormulti-objective genetic algorithmPearson correlation coefficientkinematic positive solutioncorrection prescription |
| spellingShingle | Jianmin Guo Jialong Su Study of Multiobjective Genetic Algorithm on Taylor External Fixation IEEE Access Taylor bone external fixator multi-objective genetic algorithm Pearson correlation coefficient kinematic positive solution correction prescription |
| title | Study of Multiobjective Genetic Algorithm on Taylor External Fixation |
| title_full | Study of Multiobjective Genetic Algorithm on Taylor External Fixation |
| title_fullStr | Study of Multiobjective Genetic Algorithm on Taylor External Fixation |
| title_full_unstemmed | Study of Multiobjective Genetic Algorithm on Taylor External Fixation |
| title_short | Study of Multiobjective Genetic Algorithm on Taylor External Fixation |
| title_sort | study of multiobjective genetic algorithm on taylor external fixation |
| topic | Taylor bone external fixator multi-objective genetic algorithm Pearson correlation coefficient kinematic positive solution correction prescription |
| url | https://ieeexplore.ieee.org/document/9766206/ |
| work_keys_str_mv | AT jianminguo studyofmultiobjectivegeneticalgorithmontaylorexternalfixation AT jialongsu studyofmultiobjectivegeneticalgorithmontaylorexternalfixation |