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