Frontiers in Biomedical Technologies (Jan 2023)
Knee Joint Modeling Based on Muscle Interactions Using a Central Pattern Generator to Predict Disease Progression and Rehabilitation Techniques in Incomplete Spinal Cord Injury
Abstract
Purpose: Musculoskeletal systems have a complex and different nature, and it is very difficult to control issues in these systems due to various characteristics such as speed and accuracy. Therefore, investigating these musculoskeletal systems requires simple and analyzable methods. Also, due to sudden changes during the movement process, the speed and accuracy of the calculations should be proportional to the operating speed of the system. Predicting the available system norms and meeting is the next challenge of relevant studies. Methods: Accordingly, it was attempted in the present study to investigate the knee joint function, the joint condition in an incomplete spinal cord injury (SCI), as well as its rehabilitation conditions by designing a simple mathematical model. This model is designed based on the interactions between hamstring muscles and vasti muscle group. Considering changes in the central pattern generator (CGP) as a variable input, we analyze the model output in fixed point, periodic and chaotic modes. Results: The results of the present study show that the knee joint model output is chaotic and fixed point in the health and incomplete SCI modes, respectively. In order to rehabilitate the model, stimulation of Ia, II and Ib afferents is used in the CPG, which continues the rehabilitation process due to the change of output from the fixed-point mode to the periodic mode. Conclusion: According to the results obtained from the knee joint mathematical model, it can be stated that this model, while having simple calculations, has acceptable accuracy and has the ability to predict different norms. It can also be hoped that, better and more accurate results will be achieved in the study of musculoskeletal systems with the development of this model.
Keywords
