Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models
Paper
Paper/Presentation Title | Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models |
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Presentation Type | Paper |
Authors | Shahid, Salman (Author) and Wen, Peng (Author) |
Editors | Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong |
Journal or Proceedings Title | Proceedings of the IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010) |
ERA Conference ID | 50435 |
Number of Pages | 6 |
Year | 2010 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781424468430 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCME.2010.5558878 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5558878&tag=1 |
Conference/Event | 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010) |
ICME International Conference on Complex Medical Engineering | |
Event Details | 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010) Parent ICME International Conference on Complex Medical Engineering Event Date 13 to end of 15 Jul 2010 Event Location Gold Coast, Australia |
Event Details | ICME International Conference on Complex Medical Engineering CME |
Abstract | 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 |
Keywords | EEG forward problem; spherical head models |
ANZSRC Field of Research 2020 | 320602. Medical biotechnology diagnostics (incl. biosensors) |
400399. Biomedical engineering not elsewhere classified | |
320999. Neurosciences not elsewhere classified | |
Public Notes | © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Department of Electrical, Electronic and Computer Engineering |
https://research.usq.edu.au/item/q0116/analytic-and-numeric-evaluation-of-eeg-forward-problem-using-spherical-volume-conductor-models
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