Title :
Line source modeling and estimation with magnetoencephalography
Author :
I.S. Yetik;A. Nehorai;C.H. Muravchik;J. Haueisen
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fDate :
6/26/1905 12:00:00 AM
Abstract :
We propose a number of line-source models for magnetoencephalography (MEG). We derive forward solutions, maximum likelihood (ML) estimates, and Cramer-Rao bound (CRB) expressions for the unknown parameters. We also apply our methods to real MEG data, the N20 response after electric stimulation of the median nerve, known to be an extended source. It is observed that the line-source models represent the N20 generator better than the focal model.
Keywords :
"Magnetoencephalography","Maximum likelihood estimation","Parameter estimation","Hospitals","Magnetic analysis","Spatial resolution","Degradation","Taylor series","Azimuth"
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398794
