Title :
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
fDate :
5/1/2003 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2003.810528
