Advanced search
1 file | 3.85 MB

Physiology-based regularization of the electrocardiographic inverse problem

Author
Organization
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.
Keywords
Electrocardiographic imaging, Electrocardiography, Cardiology, BIDOMAIN MODEL, POTENTIALS, ELECTROPHYSIOLOGY

Downloads

  • Cluitmans2017 Article Physiology-basedRegularization.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 3.85 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Cluitmans, Matthijs JM, Michael Clerx, Nele Vandersickel, Ralf LM Peeters, Paul GA Volders, and Ronald L Westra. 2016. “Physiology-based Regularization of the Electrocardiographic Inverse Problem.” Medical & Biological Engineering & Computing 55 (8): 1353–1365.
APA
Cluitmans, M. J., Clerx, M., Vandersickel, N., Peeters, R. L., Volders, P. G., & Westra, R. L. (2016). Physiology-based regularization of the electrocardiographic inverse problem. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 55(8), 1353–1365.
Vancouver
1.
Cluitmans MJ, Clerx M, Vandersickel N, Peeters RL, Volders PG, Westra RL. Physiology-based regularization of the electrocardiographic inverse problem. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. 2016;55(8):1353–65.
MLA
Cluitmans, Matthijs JM et al. “Physiology-based Regularization of the Electrocardiographic Inverse Problem.” MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 55.8 (2016): 1353–1365. Print.
@article{8591367,
  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.},
  author       = {Cluitmans, Matthijs JM and Clerx, Michael and Vandersickel, Nele and Peeters, Ralf LM and Volders, Paul GA and Westra, Ronald L},
  issn         = {0140-0118},
  journal      = {MEDICAL \& BIOLOGICAL ENGINEERING \& COMPUTING},
  language     = {eng},
  number       = {8},
  pages        = {1353--1365},
  title        = {Physiology-based regularization of the electrocardiographic inverse problem},
  url          = {http://dx.doi.org/10.1007/s11517-016-1595-5},
  volume       = {55},
  year         = {2016},
}

Altmetric
View in Altmetric
Web of Science
Times cited: