Research output

Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography. / Cluitmans, Matthijs J M; Karel, Joël M H; Bonizzi, Pietro; Volders, Paul G A; Westra, Ronald L; Peeters, Ralf L M.

35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2013. p. 3781-3784.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Harvard

Cluitmans, MJM, Karel, JMH, Bonizzi, P, Volders, PGA, Westra, RL & Peeters, RLM 2013, Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography. in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 3781-3784, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1/01/10. https://doi.org/10.1109/EMBC.2013.6610367

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Bibtex

@inproceedings{2561ff64bc144ceba3bf1e19d7e5bf84,
title = "Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography",
abstract = "Noninvasive, detailed assessment of electrical cardiac activity at the level of the heart surface has the potential to revolutionize diagnostics and therapy of cardiac pathologies. Due to the requirement of noninvasiveness, body-surface potentials are measured and have to be projected back to the heart surface, yielding an ill-posed inverse problem. Ill-posedness ensures that there are non-unique solutions to this problem, resulting in a problem of choice. In the current paper, it is proposed to restrict this choice by requiring that the time series of reconstructed heart-surface potentials is sparse in the wavelet domain. A local search technique is introduced that pursues a sparse solution, using an orthogonal wavelet transform. Epicardial potentials reconstructed from this method are compared to those from existing methods, and validated with actual intracardiac recordings. The new technique improves the reconstructions in terms of smoothness and recovers physiologically meaningful details. Additionally, reconstruction of activation timing seems to be improved when pursuing sparsity of the reconstructed signals in the wavelet domain.",
keywords = "Action Potentials, Body Surface Potential Mapping, Electrocardiography, Heart Conduction System, Humans, Imaging, Three-Dimensional, Wavelet Analysis",
author = "Cluitmans, {Matthijs J M} and Karel, {Jo{\"e}l M H} and Pietro Bonizzi and Volders, {Paul G A} and Westra, {Ronald L} and Peeters, {Ralf L M}",
year = "2013",
month = "8",
doi = "10.1109/EMBC.2013.6610367",
language = "English",
pages = "3781--3784",
booktitle = "35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

}

RIS

TY - GEN

T1 - Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography

AU - Cluitmans, Matthijs J M

AU - Karel, Joël M H

AU - Bonizzi, Pietro

AU - Volders, Paul G A

AU - Westra, Ronald L

AU - Peeters, Ralf L M

PY - 2013/8

Y1 - 2013/8

N2 - Noninvasive, detailed assessment of electrical cardiac activity at the level of the heart surface has the potential to revolutionize diagnostics and therapy of cardiac pathologies. Due to the requirement of noninvasiveness, body-surface potentials are measured and have to be projected back to the heart surface, yielding an ill-posed inverse problem. Ill-posedness ensures that there are non-unique solutions to this problem, resulting in a problem of choice. In the current paper, it is proposed to restrict this choice by requiring that the time series of reconstructed heart-surface potentials is sparse in the wavelet domain. A local search technique is introduced that pursues a sparse solution, using an orthogonal wavelet transform. Epicardial potentials reconstructed from this method are compared to those from existing methods, and validated with actual intracardiac recordings. The new technique improves the reconstructions in terms of smoothness and recovers physiologically meaningful details. Additionally, reconstruction of activation timing seems to be improved when pursuing sparsity of the reconstructed signals in the wavelet domain.

AB - Noninvasive, detailed assessment of electrical cardiac activity at the level of the heart surface has the potential to revolutionize diagnostics and therapy of cardiac pathologies. Due to the requirement of noninvasiveness, body-surface potentials are measured and have to be projected back to the heart surface, yielding an ill-posed inverse problem. Ill-posedness ensures that there are non-unique solutions to this problem, resulting in a problem of choice. In the current paper, it is proposed to restrict this choice by requiring that the time series of reconstructed heart-surface potentials is sparse in the wavelet domain. A local search technique is introduced that pursues a sparse solution, using an orthogonal wavelet transform. Epicardial potentials reconstructed from this method are compared to those from existing methods, and validated with actual intracardiac recordings. The new technique improves the reconstructions in terms of smoothness and recovers physiologically meaningful details. Additionally, reconstruction of activation timing seems to be improved when pursuing sparsity of the reconstructed signals in the wavelet domain.

KW - Action Potentials

KW - Body Surface Potential Mapping

KW - Electrocardiography

KW - Heart Conduction System

KW - Humans

KW - Imaging, Three-Dimensional

KW - Wavelet Analysis

U2 - 10.1109/EMBC.2013.6610367

DO - 10.1109/EMBC.2013.6610367

M3 - Conference article in proceeding

SP - 3781

EP - 3784

BT - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

ER -