Making the Discrimination in the Walking Parameters of Individuals with Multiple Sclerosis and Parkinson’s Disease with Machine Learning

Gait analysis is a study of the kinetic and kinematic analysis of joints in the human body, based on objective parameters. Neurological diseases can affect the joint movement functions of individuals over time. This influence causes changes in walking as well as in many movements of patients. In order to examine this change in the walking of the patients, the walking videos of the patients were examined in terms of movement direction, speed, acceleration and range of motion in the computer environment in our study. In this study, it was aimed to determine the contribution of gait analysis to the diagnosis and differentiation of these diseases by examining the walking videos of individuals diagnosed with multiple sclerosis and Parkinson's disease using deep learning method.

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