COMPARISON BETWEEN PARAMETRIC WEINER FILTER AND PARAMETRIC PROJECTION FILTER IN CORTICAL EQUIVALENT DIPOLE LAYER IMAGING

J. Hori1+, J. Lian2, B. He2, 3

1Department of Biocybernetics, Niigata University, Niigata, Japan
2Department of Bioengineering and 3Department of ECE, University of Illinois at Chicago, Chicago, USA

Abstract: The objective of this study is to explore suitable spatial filters for inverse estimation of cortical equivalent dipole layer imaging from the scalp electroencephalogram. The effects of incorporating signal and noise covariance into inverse procedures were examined by computer simulations. The parametric projection filter (PPF) and parametric Weiner filter (PWF) were applied to an ideal 3D head model under various noise conditions. The present simulation results suggest that the PPF has better performance than the PWF, when the correlation between the signal and noise is low, and the PWF performs better than the PPF when the correlation is high.

Keywords: High resolution EEG, equivalent dipole layer imaging, inverse problem, parametric projection filter, parametric Weiner filter, signal and noise covariance

HORI-EMBC2002 (PDF)