Gait modelling of people with parkinson's disease

Parkinson's disease (PD) is a chronic neurodegenerative disorder. People who suffer from PD have difficulties with gait and balance, so they have a higher incidence of falls and impediments in the gait. Currently, few mathematical models have focused on analyzing gait in people with PD that allows giving support to the development and construction of devices for motor therapy and gait rehabilitation. In this research, it is proposed to model the gait of patients with PD. This model aims to facilitate the creation of new devices that help improve the quality of life of patients, especially in physical rehabilitation programs. The analysis was performed in the frequency domain using the Fourier Transform. For the capture of the patient's information Kinovea was selected because it is free software and allows us to process the data utilizing a video without using special cameras. The result of the correlation was 0, 99 for simulated trajectories vs real ones. The gait between healthy patients and patients with PD were compared, this allowed the analysis of characteristics of gait disorder, such as stride, freezing of gait, and reduction of the amplitude of movement.