Physiology-based regularization of the electrocardiographic inverse problem

Matthijs J. M. Cluitmans*, Michael Clerx, Nele Vandersickel, Ralf L. M. Peeters, Paul G. A. Volders, Ronald L. Westra

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Web of Science)

Abstract

The inverse problem of electrocardiography aims at noninvasively reconstructing electrical activity of the heart from recorded body-surface electrocardiograms. A crucial step is regularization, which deals with ill-posedness of the problem by imposing constraints on the possible solutions. We developed a regularization method that includes electrophysiological input. Body-surface potentials are recorded and a computed tomography scan is performed to obtain the torso-heart geometry. Propagating waveforms originating from several positions at the heart are simulated and used to generate a set of basis vectors representing spatial distributions of potentials on the heart surface. The real heart-surface potentials are then reconstructed from the recorded body-surface potentials by finding a sparse representation in terms of this basis. This method, which we named 'physiology-based regularization' (PBR), was compared to traditional Tikhonov regularization and validated using in vivo recordings in dogs. PBR recovered details of heart-surface electrograms that were lost with traditional regularization, attained higher correlation coefficients and led to improved estimation of recovery times. The best results were obtained by including approximate knowledge about the beat origin in the PBR basis.

Original languageEnglish
Pages (from-to)1353-1365
Number of pages13
JournalMedical & Biological Engineering & Computing
Volume55
Issue number8
DOIs
Publication statusPublished - Aug 2017

Keywords

  • Electrocardiographic imaging
  • Electrocardiography
  • Cardiology
  • BIDOMAIN MODEL
  • POTENTIALS
  • ELECTROPHYSIOLOGY

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