Title :
Estimating evoked dipole responses by MEG/EEG for unknown noise covariance
Author :
A. Dogandzic;A. Nehorai
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
Abstract :
We develop a method for estimating evoked responses by magnetoencephalography (MEG) and electroencephalography (EEG) under the assumption that the noise is spatially correlated with unknown covariance. The source is modeled as a collection of current dipoles and the head as a spherical conductor. We approximate the time evolution of the evoked response by a series of functions. We derive a goodness-of-fit procedure for this model. We also test if the covariance matrix of the noise only equals the covariance matrix of the noise when the evoked response is present. A numerical example demonstrating the performance of the proposed method is presented.
Keywords :
"Electroencephalography","Brain modeling","Sensor arrays","Covariance matrix","Noise measurement","Electronic mail","Magnetoencephalography","Magnetic heads","Conductors","Testing"
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756587