Valoración y análisis de los movimientos de las manos de un paciente de Parkinson según la escala UPDRS usando técnicas de visión artificial con Kinect

Abstract

This article describes the methodology used to implement a system of assessment and analysis of the movements of the hands of a Parkinson's patient under UPDRS scale using computer vision techniques with Kinect. Results allow to assess quantitatively the evolution of the rehabilitation process followed by the patient, and to assess the effect of different pharmacological treatments the patient over time. Three hand movements have been analyzed: finger tapping, hand movements and pronation - supination of the hands. Analysis of these movements is important in a Parkinson's patient and allowing to evaluate their motor condition. Results can be used to be compared on subjective decision that qualify doctors to patients in every action or activity performed. The implemented algorithms have been evaluated for a number of cases and the obtained results show that the proposed system can be useful for the treating physician.