Numerical analysis of a three-compartment head model subjected to variation of input parameters

Abstract

A stochastic framework for the assessment of the induced electric field in the three- compartment model of human head subjected to parameter variations is presented. The relative permittivity and conductivity of scalp, skull and brain are modelled as random variables. The statistical moments are calculated by means of a stochastic collocation method. The sparse grid interpolation in the multidimensional random space is used resulting in a small number of simulations. The sensitivities of the input parameters with respect to induced electric field are computed. The results indicate the higher overall impact of relative permittivity over the tissue conductivity on the induced field in the brain. When considering the induced field along head axis, the results show the impact of parameters’ variability to be distributed unevenly.

Mario Cvetković

Associate Professor | Department of Electrical Engineering Fundamentals

Associate professor at FESB in Split, with a research focus on numerical modeling including finite element and moment methods, computational bioelectromagnetics and heat transfer related phenomena. He is involved in IEEE’s ICES Technical Committee 95, various international projects and is committed to advancing both knowledge and practical applications in electromagnetic safety and biomedical engineering.