Aplicación de técnica de visión artificial para el análisis de los movimientos oculares en pacientes con nistagmo durante la rehabilitación visual

Abstract

The present study focuses on the application of the eye tracking technique based in ocular characteristics to analyze the eye movements of patients with nystag- mo during visual rehabilitation, this demonstrates the potential for objective analysis and quantitative of eye movements in patients with nystagmus, which may contribute to improve the diagnostic and visual rehabilitation processes of these conditions. The main objective was to develop an eye tracking system based on artificial vision to accurately see the eye movements of these patients. The artificial vision system was created using the Python programming language in the PyCharm integrated development environment (IDE). This software was used for the development of system in Python, which allowed evaluating various aspects related to nystagmus, an eye disorder characterized by involuntary eye movements. Specifically, The system was able to perform eye detection, amplitude calculation, measurement of period and frequency of eye movements, calculation of the Nystagmus index. The results demonstrated that the artificial vision system was effective in detecting eye movements. Furthermore, significant improvements were observed in the patterns of eye movement of patients after their rehabilitation process, which suggests the usefulness of the system in the monitoring and evaluation of patients.