Two-stage EEG source reconstruction by using the layered recursive algorithm and source contracting method

Author

Zou, J. ; Xie, Y.Q. ; Dong, G.Y.

Author_Institution

Dept. of Electr. Eng., Tsinghua Univ., Beijing

Volume

42

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

1383

Lastpage

1386

Abstract

A two-stage electroencephalogram (EEG) source tomography method is proposed. First, the layer recursive algorithm (LRA) is developed to calculate the cortical potentials from the scalp potentials by using the finite volume method, which can improve spatial resolution of EEG data and be called high-resolution EEG (HIEEG). As a result, the spatial resolution is improved over that obtained with the conventional EEG. Second, the source contracting method is used to localize the equivalent electrical sources inside the brain based on HIEEG data. The applications demonstrate the effectiveness of the method proposed. The LRA provides an alternative implementation to HIEEG

Keywords

bioelectric potentials; electroencephalography; finite volume methods; medical signal processing; signal reconstruction; EEG source reconstruction; cortical potentials; electroencephalogram source tomography; finite volume method; high-resolution EEG; inverse problem; layered recursive algorithm; scalp potentials; source contracting method; Bioelectric phenomena; Brain modeling; Electric potential; Electroencephalography; Power system reliability; Power system simulation; Scalp; Skull; Spatial resolution; Tomography; Electroencephalogram (EEG); high-resolution; inverse problem; layer recursive algorithm (LRA) algorithm;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2006.871444

Filename

1608473