DocumentCode :
3383473
Title :
Localization of intra-cerebral sources of electrical activity via linearly constrained minimum variance spatial filtering
Author :
Veen, B. ; Joseph, Jon ; Hecox, Kurt
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fYear :
1992
fDate :
7-9 Oct 1992
Firstpage :
526
Lastpage :
529
Abstract :
Measurements of electrical field potentials at the scalp are used to localize sources of electrical activity within the brain. Neuronal sources are modeled as current dipoles. The medum (brain, skull scalp) is linear so that the potential at the scalp is the superposition of the potentials from many active neurons. These properties are used to develop a mathematical model relating neural activity to the spatial distribution of the scalp potential. Linearly constrained minimum variance spatial filters are based on this model to estimate power as a function of position within the brain. Simulations illustrate the effectiveness of this approach for localizing an unknown number of sources
Keywords :
bioelectric potentials; brain models; filtering and prediction theory; medical signal processing; spatial filters; current dipoles; effectiveness; intra-cerebral sources of electrical activity; linearly constrained minimum variance spatial filtering; mathematical model; neural activity; scalp potential; source localisation; Additive noise; Band pass filters; Covariance matrix; Decision support systems; Electrodes; Matrices; Narrowband; Power generation; Spatial filters; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
Type :
conf
DOI :
10.1109/SSAP.1992.246899
Filename :
246899
Link To Document :
بازگشت