TY - GEN
T1 - Validation of numerical simulation for subdural cortical stimulation
T2 - 5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
AU - Jeong, Jinmo
AU - Kim, Donghyeon
AU - Jeong, Sangdo
AU - Lee, Jonghyun
AU - Chung, Euiheon
AU - Jun, Sung Chan
AU - Kim, Sohee
PY - 2014
Y1 - 2014
N2 - The purpose of this study is to investigate the accuracy of numerical simulation for electric brain stimulation. For this, we modelled brains using simple computational models with 2 and 3 shells, with and without realistic head geometry, and performed numerical simulations using finite element method (FEM). The corresponding head phantoms were constructed for the validation of simulation results. We implanted stimulation electrodes in the head phantom, and measured the electric potential induced by the electrodes. When comparing the electric potential obtained from numerical simulations and phantom experiments, both results showed similar trend and amplitude, with a relative difference of 13.64% on average in the realistic head model study. This result demonstrates that predicting the electric potential and its gradient (current density) using computational simulation is reliable with reasonably small deviation from the actual measurement.
AB - The purpose of this study is to investigate the accuracy of numerical simulation for electric brain stimulation. For this, we modelled brains using simple computational models with 2 and 3 shells, with and without realistic head geometry, and performed numerical simulations using finite element method (FEM). The corresponding head phantoms were constructed for the validation of simulation results. We implanted stimulation electrodes in the head phantom, and measured the electric potential induced by the electrodes. When comparing the electric potential obtained from numerical simulations and phantom experiments, both results showed similar trend and amplitude, with a relative difference of 13.64% on average in the realistic head model study. This result demonstrates that predicting the electric potential and its gradient (current density) using computational simulation is reliable with reasonably small deviation from the actual measurement.
KW - Brain Phantom
KW - Cortical Stimulation
KW - Finite Element Method
KW - Numerical Simulation
UR - https://www.scopus.com/pages/publications/84902347427
U2 - 10.5220/0004796801360141
DO - 10.5220/0004796801360141
M3 - Conference contribution
AN - SCOPUS:84902347427
SN - 9789897580123
T3 - BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
SP - 136
EP - 141
BT - BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PB - SciTePress
Y2 - 3 March 2014 through 6 March 2014
ER -