A comparison of two methods for choosing the regularization parameter for the inverse problem of electrocardiography

David A. Lowther, Robert D. Throne, Lorraine G. Olson, John R. Windle

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

We have previously compared both generalized eigensystem (GES) and Tikhonov regularization methods for estimating epicardial potentials from measured body surface potentials. Both of these methods require the choice of a regularization parameter. In this study we compare two methods for choosing this parameter: the Composite Residual Error and Smoothing Operator (CRESO) method, and a new Zero Crossing (ZC) method. We compared both CRESO and ZC methods for zero and first order GES and Tikhonov regularization methods on a swine model and found that the ZC method sometimes produces smaller errors, but only for small noise levels.

Original languageEnglish (US)
Pages (from-to)257-261
Number of pages5
JournalBiomedical Sciences Instrumentation
Volume38
StatePublished - Sep 23 2002

Keywords

  • Inverse electrocardiography
  • Parameter selection
  • Regularization

ASJC Scopus subject areas

  • Biophysics
  • Medical Laboratory Technology

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