Stochastic Collocation Method Applied to Transcranial Magnetic Stimulation Analysis

Abstract

This work examines the influence of the brain tissue parameters’ uncertainty and the coil positioning variations within the framework of Transcranial Magnetic Stimulation (TMS). A combination of deterministic modeling and the stochastic theoretical basis was used in the assessment of the parameter uncertainties effects on the induced electric field and the related electric current density in the homogeneous human brain model. The non-intrusive Stochastic Collocation (SC) technique, by means of which the input parameter uncertainties are taken into account, enables the assessment of the corresponding confidence margins in the set of output parameters.

Publication
The Joint Annual Meeting of The Bioelectromagnetics Society and the European BioElectromagnetics Association - BioEM 2016
Mario Cvetković
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.