DocumentCode
677209
Title
Representing EEG source localization using Finite Element Method
Author
Jatoi, M.A. ; Kamel, N. ; Malik, A.S. ; Faye, Ibrahima ; Begum, Tahamina
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear
2013
fDate
Nov. 29 2013-Dec. 1 2013
Firstpage
168
Lastpage
172
Abstract
Finite Element Method (FEM) is a numerical tool usually used to solve various problems related to electromagnetic field, biomechanics, stress analysis etc. In this paper, the finite element is proposed as a solution to the localization problem of the active sources inside the brain. This localization is termed as the EEG Inverse problem. The solution to EEG inverse problem with less localization error, high resolution and less computational complexity leads to better understanding of human brain behavior and helps neurologist and neurosurgeons in curing various neurological disorders. The implementation of the FEM in solving EEG inverse problem is explained and then a pseudo code in MATLAB is designed and explained for the application to solve the problem. However, for illustration purpose, the solution to the 1D electromagnetic problem through FEM is plotted to elaborate graphically the procedure.
Keywords
bioelectric potentials; electroencephalography; finite element analysis; inverse problems; medical disorders; neurophysiology; 1D electromagnetic problem; EEG inverse problem; EEG source localization; MATLAB; biomechanics; electroencephalography; electromagnetic field; finite element method; human brain behavior; lcomputational complexity; neurological disorders; neurologist; neurosurgeons; numerical tool; pseudocode; stress analysis; Brain models; Electroencephalography; Equations; Finite element analysis; Inverse problems; Mathematical model; EEG Inverse Problem; Finite Element Method; Global Matrix; Poisson Equation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location
Mindeb
Print_ISBN
978-1-4799-1506-4
Type
conf
DOI
10.1109/ICCSCE.2013.6719953
Filename
6719953
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