By Topic

A simulation study on spatial filters for cortical source imaging from EEG

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hori, J. ; Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA ; Bin He

The objective of this study was to explore suitable spatial filters for inverse estimation of cortical equivalent dipole layer from the scalp EEG. The performance of the Weiner filter and the projection filter as a restoration filter was examined by computer simulations. The parametric Weiner filter (PWF) and the parametric projection filter (PPF) were applied to an idealized 3D head model under the various noise conditions in order to estimate the dipole layer distribution from scalp potentials. The PPF and PWF algorithms were compared with commonly used inverse regularization techniques, such as the general inverse using the truncated singular value decomposition (TSVD) and the Tikhonov regularization (TKNV). The present simulation results suggest that the PWF and PPF perform better than that of the TSVD and the TKNV in the condition of edge-concentrated non-uniform noise when the correlation between the signal and noise is low

Published in:

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE  (Volume:4 )

Date of Conference:

2000