Estimating endocardial potentials from a noncontact probe

Lorraine G. Olson, Robert D. Throne, John R. Windle

Research output: Chapter in Book/Report/Conference proceedingChapter


We compare three inverse algorithms - zero-order Tikhonov, first-order Tikhonov, and first-order Generalized Eigensystem regularization - for their ability to estimate the endocardial potentials from measured probe potentials and known geometric data. For each method, the Composite Residual Error and Smoothing Operator (CRESO) technique was used to estimate the regularization parameter. For the preliminary data examined here, higher-order regularization produced higher correlation coefficients between the estimated and measured endocardial electrograms.

Original languageEnglish (US)
Title of host publicationComputational Fluid and Solid Mechanics 2003
PublisherElsevier Inc.
Number of pages4
ISBN (Electronic)9780080529479
ISBN (Print)9780080440460
StatePublished - Jun 2 2003


  • Electrocardiography
  • GeneraUzed Eigensystem method
  • Inverse problems
  • Tikhonov regularization

ASJC Scopus subject areas

  • Engineering(all)


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