Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models

Shahid, Salman and Wen, Peng (2010) Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models. In: 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010), 13-15 Jul 2010, Gold Coast, Australia.


This paper investigates the effects of inhomogeneity and anisotropy on the EEG forward problem using spherical head models. The role of skull and brain anisotropy along with the effects of inhomogeneity in different layers of the spherical volume conductor have been quantified, numerically and analytically, using statistical modalities such as RDM, MAG and CC. The paper also investigates the effect of mesh density, selection of element type and role of adaptive mesh refinement on the accuracy and convergence of the finite
element method.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 08 Oct 2010 07:32
Last Modified: 14 Mar 2018 02:48
Uncontrolled Keywords: EEG forward problem; spherical head models
Fields of Research : 10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified
11 Medical and Health Sciences > 1109 Neurosciences > 110999 Neurosciences not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1109/ICCME.2010.5558878

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