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Updated: Oct 29, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Higher order regularization techniques for inverse electrocardiography
1Dept. of Electrical Engineering, University of Nebraska, USA.
Abstract:
We have previously presented the generalized eigensystem (GES) approach as an alternative to truncated singular value decomposition and zero order Tikhonov regularization methods for the ill-conditioned inverse problem of electrocardiography. In this paper we extend our comparison of GES with Tikhonov regularization utilizing higher order regularizers applied to a realistic heart/torso geometry with measured epicardial and body surface potentials. Utilizing higher order regularizers the results from Tikhonov regularization more closely match those of the GES techniques.
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