Sistema IOT para el auto-diagnóstico de enfermedades del corazón usando la evaluación matemática de la dinámica cardíaca basada en la teoría de la probabilidad

Abstract

Heart disease is one of the causes of death more common worldwide, although these can be treated if they are detected early despite knowing this, either due to lack of time or resources people do not attend cardiovascular health checkups periodically. By for this reason, this article presents the development of an IOT system with architecture oriented to services, which allows the patient to perform preventive check-ups in any time using an android mobile device and a rhythm band cardiac. This solution uses a methodology of analysis based on the theory of probability, which allows generating a preventive diagnosis that informs the patient when it is necessary to consult a specialized medical service, achieving in this way reduce the cost and time factors that make patients skip monitoring your cardiovascular health.