###### Abstract  
This paper describes the development of an application for mobile devices under the iOS platform which has the objective of monitoring patients with alterations or affections from cardiac pathologies. The software tool developed for mobile devices provides a patient and a specialist doctor the ability to handle and treat disease remotely while monitoring through the technique of non-contact photoplethysmography (PPG). The mobile application works by processing red, green, and blue (RGB) color video images on a specific region of the face, thus obtaining the intensity of the pixels in the green channel. The results are then processed using mathematical algorithms and Fourier transform, moving from the time domain to the frequency domain to ensure proper interpretation and to obtain the pulses per minute (PPM). The results are favorable because a comparison of the results was made with respect to the application of a medical-grade pulse-oximeter, where an error rate of 3% was obtained, indicating the acceptable performance of our application. The present technological development provides an application tool with significant potential in the area of health. mobile application; PPG; heart rate; telemedicine; remote monitoring +
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The existence of a range of sensors that allows the interconnection of the human body with intelligent mobile devices and the fact that, at the same time, these devices can communicate with different devices to carry out remote monitoring, reveals the enormous potential of information technology in the area of health. A study performed by [PERSON] et al. in 2001 [PERSON] et al. (2001) revealed that the increase of the use of information technology in medical care has reduced the frequency and consequences of errors in this area, which has led to substantial improvements in patient safety. In this work, the photoplethysmography technique (PPG) is put into practice. This technique consists of an optical system capable of measuring changes in the volume on the surface of the human body, at the top part of the forehead (which is a product of the body's blood supply), thereby providing valuable information about the cardiovascular and respiratory systems. Some researchers have used this technique alongside the application of optical devices in contact with the skin to observe these changes. The use of optics sensors in PPG always requires the patient to maintain body contact (for example, using a finger) with the devices to acquire the heart rate signal, which makes this process sensitive to motion artifacts and misplacements of the study region, but, for precise heart rate estimation, the technique described in this article uses a mobile app that obtains the pulses per minute (PPM), with high precision and without direct contact with the patient, by using the camera of the mobile device. [PERSON] et al. [PERSON] et al. (2017) performed a study to compare the results of the heart rate variability (HRV) obtained from a finger-tip PPG and a standard lead ECG, showing a resemblance between both measures. In the same way, [PERSON] et al. [PERSON] et al. (2017) developed a pulse rate detection method for a computer mouse with the use of PPG sensors, proving that the heart rate signal can also be extracted from the palms with satisfactory results. On the other hand, [PERSON] et al. in 2017 [PERSON] et al. (2017), described the use of a Microsoft Kinect to validate contactless heart rate estimation through the camera of the device and the analysis of the acquired data using different algorithms. Also, a method for measuring multiple physiological parameters using a webcam was introduced by [PERSON] et al. in 2010, who achieved high degrees of agreement between the measurements across all physiological parameters (heart rate, HRV, and respiratory rate) using video recordings and signal processing methods [PERSON] et al. (2017).