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Method of calculating contact force of knee joint by artificial fish swarm algorithm in fusion with random forest algorithm

A technology of random forest algorithm and artificial fish swarm algorithm, which is applied in the direction of calculation, calculation model, artificial life, etc., can solve the problems of slow convergence speed, low solution accuracy, and fast convergence speed in the later period, and achieve uniform and stable population distribution, reduce Intrusive, global convergence effects

Inactive Publication Date: 2019-08-16
EAST CHINA JIAOTONG UNIVERSITY
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Problems solved by technology

However, the artificial fish swarm algorithm has the disadvantages of fast convergence in the early stage, slow convergence in the later stage, and low solution accuracy.

Method used

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  • Method of calculating contact force of knee joint by artificial fish swarm algorithm in fusion with random forest algorithm
  • Method of calculating contact force of knee joint by artificial fish swarm algorithm in fusion with random forest algorithm
  • Method of calculating contact force of knee joint by artificial fish swarm algorithm in fusion with random forest algorithm

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Embodiment Construction

[0043] The specific embodiment of the present invention is as Figure 4 shown.

[0044] In this embodiment, the nonlinear relationship between knee force and gait parameters is constructed based on the improved artificial fish swarm and random forest algorithm.

[0045] Among them, during the collection of experimental data, there were three subjects (two men and one woman) who received single knee prosthesis replacement, with a height of (168.2+-2.6) cm and a weight of (69.1+-6.2) kg. First, 3 subjects were tested under 3 different experimental paradigms, including 1 pre-rehabilitation gait pattern and 2 intervention gait patterns.

[0046] Under the same test paradigm, subjects will perform 5 walking trials with the same gait pattern and self-selected pace.

[0047] During each walking trial, surface electromyography was used to collect EMG signals from 14 lower extremity muscles on the replacement side; a 10-camera motion capture system was used to collect motion trajecto...

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Abstract

A method of calculating contact force of a knee joint by artificial fish swarm algorithm in fusion with random forest algorithm comprises acquiring experimental data, preprocessing experimental data,optimizing gait parameters, performing integrated learning on a gait parameter set, constructing a training and verification model of gait parameter and knee joint contact force data, and establishinga nonlinear relationship between the gait parameters and knee joint contact force. On basis of acquiring a patient's gait parameters, the acquired parameters are optimized through the modified artificial fish swarm algorithm; a data set under the optimal parameters is subjected to integrated learning according to the random forest algorithm; the nonlinear relationship between the gait parametersand the knee joint contact force is acquired finally. The method is suitable for accurately constructing the linear relationship between gait parameters and knee joint contact force; implanting sensors directly in the human body by surgeons is avoided; invasion to the human body is lessened. The method is suitable for calculating the magnitude of contact force of the knee joint in real time, and basis can be provided for rehabilitation doctors to provide postoperative rehabilitation treatment.

Description

technical field [0001] The invention relates to a calculation method of knee joint contact force combined with artificial fish swarm and random forest algorithm, belonging to the technical field of clinical medical auxiliary measurement methods. Background technique [0002] Gait correction strategies have an important impact on the postoperative rehabilitation of knee arthroplasty. A good strategy can speed up the recovery, enhance joint function, reduce gait asymmetry, and prolong the service life of the knee prosthesis. Therefore, by adjusting the patient's Gait pattern to relieve knee load is one of the main goals of postoperative rehabilitation. The study of the relationship between knee joint contact force and gait pattern is an important basis for designing rehabilitation programs, so accurate measurement of knee joint contact force becomes the key to evaluating rehabilitation programs and rehabilitation effects. [0003] At present, there are two main methods for me...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0488A61B5/11A61B5/22G06N3/00
CPCA61B5/112A61B5/222A61B5/389G06N3/006
Inventor 王浩伦徐唯祎刘凯徐苒朱业安王新雨
Owner EAST CHINA JIAOTONG UNIVERSITY
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