Pregled bibliografske jedinice broj: 1025773
Stochastic-Deterministic Boundary Integral Method for Transcranial Electric Stimulation: A Cylindrical Head Representation
Stochastic-Deterministic Boundary Integral Method for Transcranial Electric Stimulation: A Cylindrical Head Representation // 27th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2019
Split, Hrvatska, 2019. str. 1-7 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Stochastic-Deterministic Boundary Integral Method for Transcranial Electric Stimulation: A Cylindrical Head Representation
Autori
Šušnjara, Anna ; Ravnik, Jure ; Verhnjak, Ožbej, Poljak, Dragan ; Cvetković, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
27th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2019
/ - , 2019, 1-7
Skup
27th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2019
Mjesto i datum
Split, Hrvatska, 19.09.2019. - 21.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
boundary domain integral method ; sensitivity analysis ; stochastic collocation ; transcranial electric stimulation
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split