DocumentCode :
2192925
Title :
Adaptive Spatial filter and Adaptive Inverse Modeling for Electromagnetic Source Imaging
Author :
Sekihara, Kensuke ; Hild, Kenneth E., II ; Dalal, Sarang S. ; Timer, Johanna M. ; Wipf, David ; Attias, Hagai T. ; Nagarajan, Srikantan S.
Author_Institution :
Tokyo Metropolitan Univ., Tokyo
fYear :
2007
fDate :
12-14 Oct. 2007
Firstpage :
190
Lastpage :
191
Abstract :
This paper provides a comprehensive review on the adaptive spatial filter technique used for electromagnetic source imaging. The paper first describes basic principles and underlying assumptions for formulating the adaptive spatial filters, and then evaluate their performances in comparison with the conventional non-adaptive techniques including the minimum-norm-based methods. An extension based on the empirical Bayesian approach is also described.
Keywords :
adaptive filters; bioelectric phenomena; biomedical imaging; brain; medical signal processing; neurophysiology; spatiotemporal phenomena; adaptive inverse modeling; adaptive spatial filter; electromagnetic source imaging; empirical Bayesian approach; neuronal activity; spatio-temporal brain activities; Adaptive filters; Bayesian methods; Brain; Electromagnetic measurements; Interference constraints; Inverse problems; Power filters; Power generation; Sensor arrays; Spatial filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-0949-5
Electronic_ISBN :
978-1-4244-0949-5
Type :
conf
DOI :
10.1109/NFSI-ICFBI.2007.4387723
Filename :
4387723
Link To Document :
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