Representing EEG source localization using Finite Element Method

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 localizatio...

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Main Authors: Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Begum, T.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32513 /
Published: 2013
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894148809&doi=10.1109%2fICCSCE.2013.6719953&partnerID=40&md5=65e6293f778cfa2bf13bf8e97fbc8b98
http://eprints.utp.edu.my/32513/
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spelling utp-eprints.325132022-03-29T14:04:37Z Representing EEG source localization using Finite Element Method Jatoi, M.A. Kamel, N. Malik, A.S. Faye, I. Begum, T. 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. © 2013 IEEE. 2013 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894148809&doi=10.1109%2fICCSCE.2013.6719953&partnerID=40&md5=65e6293f778cfa2bf13bf8e97fbc8b98 Jatoi, M.A. and Kamel, N. and Malik, A.S. and Faye, I. and Begum, T. (2013) Representing EEG source localization using Finite Element Method. In: UNSPECIFIED. http://eprints.utp.edu.my/32513/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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. © 2013 IEEE.
format Conference or Workshop Item
author Jatoi, M.A.
Kamel, N.
Malik, A.S.
Faye, I.
Begum, T.
spellingShingle Jatoi, M.A.
Kamel, N.
Malik, A.S.
Faye, I.
Begum, T.
Representing EEG source localization using Finite Element Method
author_sort Jatoi, M.A.
title Representing EEG source localization using Finite Element Method
title_short Representing EEG source localization using Finite Element Method
title_full Representing EEG source localization using Finite Element Method
title_fullStr Representing EEG source localization using Finite Element Method
title_full_unstemmed Representing EEG source localization using Finite Element Method
title_sort representing eeg source localization using finite element method
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894148809&doi=10.1109%2fICCSCE.2013.6719953&partnerID=40&md5=65e6293f778cfa2bf13bf8e97fbc8b98
http://eprints.utp.edu.my/32513/
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score 11.62408