This paper describes the development of an application for mobile devices under the iOS\nplatform which has the objective of monitoring patients with alterations or affections from cardiac\npathologies. The software tool developed for mobile devices provides a patient and a specialist\ndoctor the ability to handle and treat disease remotely while monitoring through the technique of\nnon-contact photoplethysmography (PPG). The mobile application works by processing red, green,\nand blue (RGB) color video images on a specific region of the face, thus obtaining the intensity of the\npixels in the green channel. The results are then processed using mathematical algorithms and Fourier\ntransform, moving from the time domain to the frequency domain to ensure proper interpretation and\nto obtain the pulses per minute (PPM). The results are favorable because a comparison of the results\nwas made with respect to the application of a medical-grade pulse-oximeter, where an error rate of 3%\nwas obtained, indicating the acceptable performance of our application. The present technological\ndevelopment provides an application tool with significant potential in the area of health.
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