Tissue conductivity anisotropy inhomogeneity study in EEG head modelling
Presentation
Paper/Presentation Title | Tissue conductivity anisotropy inhomogeneity study in EEG head modelling |
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Presentation Type | Presentation |
Authors | Bashar, Md. Rezaul (Author), Li, Yan (Author) and Wen, Peng (Author) |
Journal or Proceedings Title | Proceedings of the International Conference on Bioinformatics and Computational Biology (BIOCOMP 2008) |
Journal Citation | 2, pp. 862-867 |
Number of Pages | 6 |
Year | 2008 |
Place of Publication | Las Vegas, NV. USA |
ISBN | 9781601320551 |
Web Address (URL) of Paper | http://www.world-academy-of-science.org/worldcomp08/ws/conferences/biocomp08 |
Conference/Event | BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology |
Event Details | BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology Event Date 14 to end of 17 Jul 2008 Event Location Las Vegas, United States |
Abstract | This study investigates the effects of anisotropic inhomogeneous tissue conductivity with local variations on the electroencephalogram (EEG) forward computation. Human head modelling for the forward computation using finite element method (FEM) requires a large set of elements to represent the head geometry. Anatomically, the electrical property of each element is different, even though it represents the same type of tissue. At microscopic level, tissues are anisotropic and inhomogeneous. However, most of the researchers implement the computation for the homogeneous case. This paper presents a numerical approach to model a human head by using statistical conductivity approximation (SCA) technique for the computation based on white matter (WM) and skull anisotropic inhomogeneity. FEM is used to model the head volume conductor with WM and skull anisotropic inhomogeneous conductivity estimated by the volume constrained method. A current dipole is also used inside the gray matter to simulate the brain electrical activity. The experimental results show that the anisotropic inhomogeneous tissue conductivity has effects on the scalp EEG.. |
Keywords | anisotropy; inhomogeneous; finite element method; statistical conductivity approximation; head model; electroencephalogram |
ANZSRC Field of Research 2020 | 490510. Stochastic analysis and modelling |
320602. Medical biotechnology diagnostics (incl. biosensors) | |
400303. Biomechanical engineering | |
Public Notes | No evidence of copyright restrictions on web site. |
Byline Affiliations | Department of Mathematics and Computing |
Centre for Systems Biology |
https://research.usq.edu.au/item/9yyq4/tissue-conductivity-anisotropy-inhomogeneity-study-in-eeg-head-modelling
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