Development of e‐Health technologies for big data analysis in contact lens

Abstract

AbstractPurpose: Development of an App for e‐health in Optometry to study the comfort of contact lenses. Within this objective is the study of blinking (frequency, duration, quality, speed, etc.) from videos collected by the application.Methods: HTML5, CSS3 and JavaScript are used with Angular and Ionic libraries for a hybrid application on Web, IOS and Android (mobile phones). It connects with nearby free access weather stations, collecting only environmental pollution data. From videos of the patient face taken at that moment, programs in the MATLAB environment are used to locate the eyes (Viola‐Jones algorithms) and give the frequency and duration of the blinks. Using PIV (Particle Image Velocimetry) techniques, information is also acquired on the speed and quality of the blink. In addition, adding patient questionnaires, it is expected to collect joint data for later analysis in the MATLAB environment with an online server and various Big Data techniques.Results: The application collects data and videos. It allows the analysis of the number of blinks, their frequency and duration in a simple way, having been tested with several MATLAB algorithms. PIV techniques also allow the characterization of blink process, allowing a better characterization of the influence of contact lenses on blinking showing some differences.Conclusions: The characterization of the comfort and fit of contact lenses depends on a large number of factors, so the development of an application that collects both physical and behavioural data is of great importance. Hence, it is important to have an instrument that collects data in real time on a large number of patients for subsequent analysis using statistical techniques.