Model and Simulation of the Brain Scalp Potential Analysis

Article Preview

Abstract:

Based on spherical head models, this paper, by employing the finite element method (FEM), analyzes the potential distribution of the brain scalp surface and attempts to work out the electroencephalography (EEG) forward problem, in hope of finding out the impact the dipole parameters has on it. According to the electromagnetism theory, this paper discusses the general resolution of EEG, it requires electric potentials of the globe's surface, and graphically displays results of computation through finite element post-processing, which tests their effectiveness. Furthermore, it analyzes the influences of dipole parameters on the potential distribution of scalp surface, such as position, direction and strength, which attempts to provide an effective method to solve EEG forward problem, based on diversified head model, and also proposes a prior information to the solution to EEG inverse problem.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

942-947

Citation:

Online since:

September 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] B.R. Yitembe, G. Crevecoeur and R. Van Keer: Reduced conductivity dependence method for increase of dipole localization accuracy in the EEG inverse problem[J]. IEEE transactions on biomedical engineering, 2011, 58(5): 1430-1440.

DOI: 10.1109/tbme.2011.2107740

Google Scholar

[2] Dadi Xing, Xiaoming Wu: Application of modified genetic algorithm in inverse problem of electroencephalogram[J]. Journal of Clinical Rehabilitative Tissue Engineering Research, 2009, 13 (17): 3268-3271.

Google Scholar

[3] Wang Yi, Peng Li: Numerical simulation of EEG/MEG forward problem in different head models[J]. Journal of Shanghai Normal University, 2010, 39(2): 128-136.

Google Scholar

[4] Li Jing, Zhongshi Li, Yingchun Zhang: Comparison of finite element method and finite difference method for solving eletroencephalogram forward problem[J]. Journal of Zhejiang Univerity (Engineering Science), 2008, 42(4): 647-650.

Google Scholar

[5] S. Shahid, Peng Wen: Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models[C]. Complex Medical Engineering , 2010, pp.28-33.

DOI: 10.1109/iccme.2010.5558878

Google Scholar

[6] Ruijuan Chen: MEG forward problem analysis with the finite element method[D]. Tianjin: Hebei Univerity of Technology, 2008: 20-31.

Google Scholar

[7] Weili Yan, Guizhi Xu: Numerical analysis of biomedical electromagnetic field[M]. Beijing: Chi-na Machine Press, (2006).

Google Scholar

[8] Yingchun Zhang: Finite element method in 3D anisotropic EEG forward problem and CIT [D]. Hangzhou: Zhejiang Univerity, (2008).

Google Scholar

[9] Zhang Jing, Renxi Hu: ANSYSl2. 0 electromagnetic finite element analysis from entry to the master[M]. Beijing: China Machine Press, (2010).

Google Scholar