Selection of human gait mathematical model for use in rehabilitation devices

Abstract

Due to musculoskeletal diseases progression and increase in spinal injuries, the use of domestically developed multifunctional rehabilitation complexes for functional therapy is becoming increasingly important.Aim: To analyze existing human gait patterns and select a suitable model for choosing the optimal design and engineering solution for a mechatronic rehabilitation complex, affecting the lower limbs of a person.Methodology and Research Methods. An analysis of existing technical solutions for rehabilitation complexes was carried out. Brief overview of the main approaches to studying human gait is provided. A model was selected; its detailed description is given for implementation for the robotic rehabilitation complex of functional therapy development.Results. As a result of the study, data on the position of the legs during gait was obtained and visualization of the walking process was carried out to identify the shortcomings for the selected model. The selected model is implemented in the experimental sample rehabilitation complex.Conclusion. In the future, it is necessary to refine the model and compare it with a model based on machine learning, and use the most realistic option in rehabilitation complexes.