Investigando a importância do instante de ejeção de dispositivos de assistência ventricular pulsáteis para o desempenho de controladores síncronos

Hugo Gabriel de Melo Santos; Mateus Fernando Felismino da Silva Patriota; Roger de Almeida Matos Junior; Luís Felipe Vieira Silva; Thiago Damasceno Cordeiro; Antonio Marcus Nogueira Lima

doi:10.20906/sbai.v1i1.2823

Hugo Gabriel de Melo Santos Instituto de Computação, Universidade Federal de Alagoas, Maceió, AL
Mateus Fernando Felismino da Silva Patriota Instituto de Computação, Universidade Federal de Alagoas, Maceió, AL
Roger de Almeida Matos Junior Instituto de Computação, Universidade Federal de Alagoas, Maceió, AL
Luís Felipe Vieira Silva Instituto de Computação, Universidade Federal de Alagoas, Maceió, AL
Thiago Damasceno Cordeiro Instituto de Computação, Universidade Federal de Alagoas, Maceió, AL
Antonio Marcus Nogueira Lima Departamento de Engenharia Elétrica Universidade Federal de Campina Grande, PB

DOI: https://doi.org/10.20906/sbai.v1i1.2823

Keywords: Ventricular Assist Devices, Physiological Control Systems, Computational Simulation, Human Cardiovascular System, Polynomial Controller

Abstract

Cardiovascular diseases represent a large portion of the main cause of death in Brazil. In severe cardiovascular dysfunctions, a good treatment is using mechanical pumps called ventricular assist devices (VADs), which are designed to extend the patient's life perspective. This work proposes to use computer simulation for modeling a VAD coupled to an adult human cardiovascular system model, under the influence of a control system that changes the ejection instant, designed to improve the physiological response of patients. As a starting point, techniques available in the literature, which have fixed parameters, were analyzed under changing the values of these measures. Performance indexes based on the error signal were used to compare the original techniques and after modifications. Finally, the computational simulation results were analyzed the discovered solutions, finding the ideal parameters from the minimization of the error signal.