Systemic Model of Cardiac Simulation with Ventricular Assist Device for Medical Decision Support

Biomedical Engineering uses computational simulation models that are increasingly refined to represent human physiological systems. These models allow changes and analysis In Silico, optimizing implementation in a real (human) system. This work explores the CVSim computational model of the cardiovascular system, developed and used by MIT and Harvard Medical School, since 1984. The purpose of this work is the prospect of a resilient and adaptive system that by obtaining a mass of data; associated to the hemodynamic behavior of the set: Heart and Ventricular Assist Device (VAD); through simulations, to predict the behavior of this system in an autonomous intelligent environment, which can support the decision making about possible adverse events that may occur. It is intended to consider the profile of the patient with heart disease and the exploration of data: Big Data Analytics.