engleski

Stochastic-Deterministic Boundary Integral Method for Transcranial Electric Stimulation: A Cylindrical Head Representation

In this paper the boundary integral method (BIM) is applied to modelling of the transcranial electric stimulation which is a novel approach in comparison to usually used finite element method (FEM) based solvers. The formulation of the problem is based on a quasi- static approximation of the currents and voltages induced in living tissues. A cylindrical canonical geometry is chosen as a simple representation of the head. Another novelty introduced in this work is taking into account for the possible variations in the model input parameters. The shape and the position of electrodes, as well as the shape of the head are considered as random variables distributed in the specific range. By means of stochastic collocation method (SCM), the uncertainty is propagated to the output values of interest. Accordingly, stochastic moments are computed and sensitivity analysis is carried out. The results obtained in this simple test case may serve as the first step for a rigorous, anatomically based BDIM+SCM model of the realistic head which is important for the validation of the results obtained from other more sophisticated, mostly FEM based head models.

boundary domain integral method ; sensitivity analysis ; stochastic collocation ; transcranial electric stimulation

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