Physiological study of joint loaded force in the artificial knee with the neural approach

Measuring how organs transfer power is a tough problem that researchers are studying closely. There have been different ways to talk about this topic, like using computer technology and its programs. In this research, we used test results to create a new computer model that can predict how a synthetic knee joint will work. We used specific parts to build the model. In this research, we used medical software to simulate a prosthetic knee instead of studying how a real knee works. At first, a study was done using computer software to figure out how power is transferred in the body. This gave us important information to use in computer programs that imitate the brain. Then, using MATLAB software, we created a computer program to predict future outcomes by using diagrams and simulations to analyze the force in a joint. The neural network worked really well. In this way, we can get accurate results because the CNN neural network can handle a lot of information. To see how well the neural network model works, we compared its results to real data. We also looked at how it performed compared to another software called Mimics. We found that the neural network was very accurate.

کلیدواژه ها:

Transmission and function ، Knee synthetic joint ، CNN neural network ، MIMICS ، MATLAB