DocumentCode :
1823073
Title :
Quantitative modeling of electric field in deep brain stimulation: Study of medium brain tissue and stimulation pulse parameters
Author :
Saad, J.F.H. ; Gabran, S.R.I. ; Salama, M.M.A. ; Mansour, R.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2011
fDate :
April 27 2011-May 1 2011
Firstpage :
220
Lastpage :
224
Abstract :
This paper introduces a finite difference time domain (FDTD) model for the electromagnetic simulation and analysis of a 4-channel deep brain stimulation (DBS) electrode. The analysis uses non-homogenous tissue models representing the gray and white tissue matter. The model includes the encapsulation layer of unexcitable tissues. Several low frequency signal models for brain tissue and the DBS electrode are developed to investigate the effect of the dielectric properties, stimulation pulse parameters and firing pattern (current steering) on controlling the field intensity distribution. These models are used to provide a quantitative formulation of the tissue-field interaction and the parameters influencing the electric field distribution within the brain tissue. The simulation results provide reference and benchmarking data for DBS electrode development.
Keywords :
biological effects of fields; biological tissues; biomedical electrodes; brain; data analysis; electric field effects; finite difference time-domain analysis; medical computing; neuromuscular stimulation; physiological models; 4-channel deep brain stimulation electrode; DBS electrode; FDTD model; current steering; data benchmarking; dielectric properties; electromagnetic simulation; electrotherapeutic techniques; field intensity distribution control; finite difference time domain model; firing pattern; gray tissue matter; medium brain tissue; nonhomogenous tissue models; quantitative electric field modeling; stimulation pulse parameters; tissue-field interaction; white tissue matter; Brain modeling; Dielectrics; Electric fields; Electrodes; Mathematical model; Satellite broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location :
Cancun
ISSN :
1948-3546
Print_ISBN :
978-1-4244-4140-2
Type :
conf
DOI :
10.1109/NER.2011.5910527
Filename :
5910527
Link To Document :
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