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Physiology-based regularization of the electrocardiographic inverse problem.
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- Author(s): Cluitmans, Matthijs1 ; Clerx, Michael1; Vandersickel, Nele2; Peeters, Ralf3; Volders, Paul4; Westra, Ronald3; Cluitmans, Matthijs J M5 (AUTHOR); Peeters, Ralf L M6 (AUTHOR); Volders, Paul G A7 (AUTHOR); Westra, Ronald L6 (AUTHOR)
- Source:
Medical & Biological Engineering & Computing. Aug2017, Vol. 55 Issue 8, p1353-1365. 13p.- Subject Terms:
*ALGORITHMS; ELECTROCARDIOGRAPHY; COMPUTED tomography; SPATIAL distribution (Quantum optics); ARRHYTHMIA; CARDIOLOGY; HEART conduction system; ACTION potentials; ANIMAL experimentation; ANIMALS; BIOLOGICAL models; BODY surface mapping; COMPUTER simulation; DOGS; RESEARCH evaluation; COMPUTER-aided diagnosis; PHYSIOLOGY - Source:
- Additional Information
- 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. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Medical & Biological Engineering & Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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