eprintid: 7187
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/71/87
datestamp: 2023-11-09 16:18:59
lastmod: 2023-11-09 16:18:59
status_changed: 2023-11-09 16:08:42
type: conference_item
metadata_visibility: show
creators_name: Jatoi, M.A.
creators_name: Kamel, N.
creators_name: Faye, I.
creators_name: Malik, A.S.
creators_name: Bornot, J.M.
creators_name: Begum, T.
title: BEM based solution of forward problem for brain source estimation
ispublished: pub
keywords: Boundary element method; Brain; Electroencephalography; Electrophysiology; Finite difference method; Finite element method; Image processing; Neuroimaging; Numerical methods; Sailing vessels, Brain source localization; Eeg inverse problems; EEG source localization; Finitedifference methods (FDM); Forward problem; Neuroimaging techniques; Numerical techniques; Source localization, Inverse problems
note: cited By 15; Conference of 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 ; Conference Date: 19 October 2015 Through 21 October 2015; Conference Code:119504
abstract: The localization of active sources inside the brain is termed as brain source localization. However, when the neuroimaging technique is EEG, then it is specifically termed as EEG source localization. This problem is also referred to as EEG inverse problem. The source localization problem is defined by forward problem and inverse problem. For the forward problem, head modelling is carried out by using either analytical methods or by using numerical techniques such as finite element method (FEM), boundary element method (BEM) and finite difference method (FDM). This head modelling information is further used to localize the active regions by estimating the current density by using various inverse algorithms. This research discusses the usage of boundary element method (BEM) for the modelling of head and consequently generation of simulated data. The results have shown that by simulating dipole on the cortical surface, the simulated EEG data can be generated. Hence, after the generation of simulated data, the inverse techniques are applied for the localization of active sources. This information can be used for the estimation of active sources inside the brain during various physical activities and for localizing of brain parts for the diagnoses of various brain disorders. © 2015 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971602944&doi=10.1109%2fICSIPA.2015.7412186&partnerID=40&md5=09e18b66107c2dd315bf60dbd027413e
id_number: 10.1109/ICSIPA.2015.7412186
full_text_status: none
publication: IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
pagerange: 180-185
refereed: TRUE
isbn: 9781479989966
citation:   Jatoi, M.A. and Kamel, N. and Faye, I. and Malik, A.S. and Bornot, J.M. and Begum, T.  (2016) BEM based solution of forward problem for brain source estimation.  In: UNSPECIFIED.