Representing EEG Source Localization Using Finite Element Method

Jatoi, Munsif Ali and Kamel , Nidal and Malik, Aamir Saeed and Ibrahima, Faye and Begum, Tahamina (2013) Representing EEG Source Localization Using Finite Element Method. In: 2013 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2013), November 29 – December 1, 2013, Penang, Malaysia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: EEG Inverse Problem, Finite Element Method, Global Matrix, Poisson Equation
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 16 Dec 2013 23:48
Last Modified: 16 Dec 2013 23:48
URI: http://scholars.utp.edu.my/id/eprint/10977

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