EEG source reconstruction based on the boundary-element method and weighted minimum norm approaches

Author

Wu, Qing ; Yan, Weili ; Shen, Xueqin ; Li, Ying ; He, Shijuan ; Xu, Guizhi

Author_Institution

Comput. Sci. Dept., Hebei Univ. of Technol., Tianjin, China

Volume

39

Issue

3

fYear

2003

fDate

5/1/2003 12:00:00 AM

Firstpage

1547

Lastpage

1550

Abstract

Within the frames of the boundary-element method (BEM) and weighted minimum norm (WMN) estimation, the electroencephalogram (EEG) sources distribution images are reconstructed. In order to solve the ill-conditioning problem caused by the low conductivity of the skull, an improved BEM with an adjustable parameter isolated problem is presented to solve the EEG forward problem. Combined with BEM results, a hybrid WMN solution to the EEG inverse problem is analyzed. The simulation experiments are also given.

Keywords

boundary-elements methods; digital simulation; electroencephalography; image reconstruction; inverse problems; medical image processing; EEG inverse problem; EEG source reconstruction; adjustable parameter isolated problem; boundary-element method; conductivity; electroencephalogram forward problem; electroencephalogram sources distribution images; hybrid weighted minimum norm solution; ill-conditioning problem; skull; weighted minimum norm approaches; weighted minimum norm estimation; Brain modeling; Conductivity; Electroencephalography; Head; Helium; Image reconstruction; Inverse problems; Neurons; Skull; Vectors;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2003.810528

Filename

1198521