GENETIC ALGORITHM FOR PARAMETER ADJUSTMENT OF REDUCED CARDIAC ELECTROMECHANICAL MODEL

The simulation of the electromechanical activity of the heart by means of mathematical-computational models is important in the prevention, diagnosis and testing of procedures and medications. However, due to the complexity of this system, such simulations may require high computational costs. In this sense, in this work, a simplified mathematical model was developed, supported by a genetic algorithm capable of adjusting parameters and reproducing activity behaviors of complex and detailed models. The goal of the genetic algorithm is to minimize the difference between the simplified model simulation and the detailed biophysical model - which is highly computationally costly. Results proved the efficiency of the algorithm and the ability of the simplified model to reproduce the behavior of more complex models.