Title :
Spatio-temporal multi-dipole source localization using ICA and lead-fields in FEM head models
Author :
Zhukov, Leonid ; Weinstein, David ; Johnson, Chris ; MacLeod, Rob
Author_Institution :
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA
Abstract :
In this paper we introduce a framework for the solution of the multi-dipole, time-dependent, source localization problem in realistic head models. Our technique combines a PCA/ICA signal decomposition with an FEM-based lead-field approach to source localization. This combination enables the efficient localization of multiple dipole sources.
Keywords :
brain models; electroencephalography; finite element analysis; medical signal processing; EEG analysis; FEM head models; FEM-based lead-field approach; PCA/ICA signal decomposition; efficient localization; electrodiagnostics; lead-fields; multiple dipole sources; realistic head models; spatio-temporal multi-dipole source localization; Brain modeling; Covariance matrix; Electrodes; Electroencephalography; Head; Independent component analysis; Lead; Matrix decomposition; Principal component analysis; Vectors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020617
