Title :
Spatial analysis of electroencephalogram signal sources
Author :
Wu, Qing ; Li, Ying ; Yan, Weili
Author_Institution :
Hebei Inst. of Technol., Tianjin, China
Abstract :
Spatial analysis of electroencephalogram (EEG) signal sources is a technology based on the methods solving EEG inverse problem. In this field, the human brain is often considered as a quasi-static electromagnetic system. Combined with boundary element method results, the spatial distribution of EEG sources is analyzed by a hybrid weighted minimum norm solution. The simulation experiments are given to show the promising ability of the proposed approach.
Keywords :
boundary-elements methods; electroencephalography; inverse problems; medical signal processing; EEG inverse problem; boundary element method results; electroencephalogram signal sources; hybrid weighted minimum norm; quasi-static electromagnetic system; spatial distribution; Boundary element methods; Brain modeling; Conductivity; Electric variables measurement; Electrodes; Electroencephalography; Electromagnetic fields; Inverse problems; Scalp; Signal analysis;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180081
