Title :
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
fDate :
4/1/2006 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.871444