Tools to Support Children's Treatment Affected by Microcephaly Caused by the Syndrome Congenital Zika Virus
ETCC, genetic algorithm, finite elements
This work addresses simulation techniques for a Transcranial Stimulation treatment used in individuals with microcephaly. Discretization procedures were carried out to generate a finite element mesh that represented the geometry of a patient's brain, constructed from images from the tomography exam. This mesh was divided into different regions so that it was possible to vary the electrical conductivity throughout the domain. Laplace's equation was used to represent the distribution of electrical potential across the brain induced by transcranial stimulation therapy. The numerical solution of the model was obtained through an algorithm developed to apply the finite element method. Finally, a genetic algorithm (GA) was developed that varies several parameters, such as electrode positioning and current amplitude, in order to obtain good settings for therapy in a feasible computational time.