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Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart

We investigated a novel sparsity-based regularization method in the wavelet domain of the inverse problem of electrocardiography that aims at preserving the spatiotemporal characteristics of heart-surface potentials. In three normal, anesthetized dogs, electrodes were implanted around the epicardium...

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Autores principales: Cluitmans, Matthijs, Karel, Joël, Bonizzi, Pietro, Volders, Paul, Westra, Ronald, Peeters, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208718/
https://www.ncbi.nlm.nih.gov/pubmed/29752679
http://dx.doi.org/10.1007/s11517-018-1831-2
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author Cluitmans, Matthijs
Karel, Joël
Bonizzi, Pietro
Volders, Paul
Westra, Ronald
Peeters, Ralf
author_facet Cluitmans, Matthijs
Karel, Joël
Bonizzi, Pietro
Volders, Paul
Westra, Ronald
Peeters, Ralf
author_sort Cluitmans, Matthijs
collection PubMed
description We investigated a novel sparsity-based regularization method in the wavelet domain of the inverse problem of electrocardiography that aims at preserving the spatiotemporal characteristics of heart-surface potentials. In three normal, anesthetized dogs, electrodes were implanted around the epicardium and body-surface electrodes were attached to the torso. Potential recordings were obtained simultaneously on the body surface and on the epicardium. A CT scan was used to digitize a homogeneous geometry which consisted of the body-surface electrodes and the epicardial surface. A novel multitask elastic-net-based method was introduced to regularize the ill-posed inverse problem. The method simultaneously pursues a sparse wavelet representation in time-frequency and exploits correlations in space. Performance was assessed in terms of quality of reconstructed epicardial potentials, estimated activation and recovery time, and estimated locations of pacing, and compared with performance of Tikhonov zeroth-order regularization. Results in the wavelet domain obtained higher sparsity than those in the time domain. Epicardial potentials were non-invasively reconstructed with higher accuracy than with Tikhonov zeroth-order regularization (p < 0.05), and recovery times were improved (p < 0.05). No significant improvement was found in terms of activation times and localization of origin of pacing. Next to improved estimation of recovery isochrones, which is important when assessing substrate for cardiac arrhythmias, this novel technique opens potentially powerful opportunities for clinical application, by allowing to choose wavelet bases that are optimized for specific clinical questions. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11517-018-1831-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-62087182018-11-09 Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart Cluitmans, Matthijs Karel, Joël Bonizzi, Pietro Volders, Paul Westra, Ronald Peeters, Ralf Med Biol Eng Comput Original Article We investigated a novel sparsity-based regularization method in the wavelet domain of the inverse problem of electrocardiography that aims at preserving the spatiotemporal characteristics of heart-surface potentials. In three normal, anesthetized dogs, electrodes were implanted around the epicardium and body-surface electrodes were attached to the torso. Potential recordings were obtained simultaneously on the body surface and on the epicardium. A CT scan was used to digitize a homogeneous geometry which consisted of the body-surface electrodes and the epicardial surface. A novel multitask elastic-net-based method was introduced to regularize the ill-posed inverse problem. The method simultaneously pursues a sparse wavelet representation in time-frequency and exploits correlations in space. Performance was assessed in terms of quality of reconstructed epicardial potentials, estimated activation and recovery time, and estimated locations of pacing, and compared with performance of Tikhonov zeroth-order regularization. Results in the wavelet domain obtained higher sparsity than those in the time domain. Epicardial potentials were non-invasively reconstructed with higher accuracy than with Tikhonov zeroth-order regularization (p < 0.05), and recovery times were improved (p < 0.05). No significant improvement was found in terms of activation times and localization of origin of pacing. Next to improved estimation of recovery isochrones, which is important when assessing substrate for cardiac arrhythmias, this novel technique opens potentially powerful opportunities for clinical application, by allowing to choose wavelet bases that are optimized for specific clinical questions. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11517-018-1831-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-05-12 2018 /pmc/articles/PMC6208718/ /pubmed/29752679 http://dx.doi.org/10.1007/s11517-018-1831-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Cluitmans, Matthijs
Karel, Joël
Bonizzi, Pietro
Volders, Paul
Westra, Ronald
Peeters, Ralf
Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
title Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
title_full Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
title_fullStr Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
title_full_unstemmed Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
title_short Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
title_sort wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208718/
https://www.ncbi.nlm.nih.gov/pubmed/29752679
http://dx.doi.org/10.1007/s11517-018-1831-2
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