Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6610367 | EMBC |
Keywords | Field | DocType |
electrocardiography,cardiac pathology diagnostics,heart-surface potential reconstruction,bioelectric potentials,wavelet transforms,epicardial potential reconstruction,heart surface level,orthogonal wavelet transform,medical signal processing,wavelet-sparsity based regularization,inverse problems,intracardiac recording,inverse problem,sparse solution,electrical cardiac activity assessment,signal reconstruction,cardiac pathology therapy,time series,electric potential,surface waves,heart,surface reconstruction | Orthogonal wavelet,Computer science,Electronic engineering,Regularization (mathematics),Inverse problem,Local search (optimization),Smoothness,Signal reconstruction,Wavelet,Wavelet transform | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthijs J M Cluitmans | 1 | 2 | 2.42 |
| Joël M H Karel | 2 | 0 | 0.34 |
| pietro bonizzi | 3 | 8 | 5.81 |
| Paul G A Volders | 4 | 8 | 4.86 |
| Ronald L. Westra | 5 | 50 | 9.00 |
| Ralf L. M. Peeters | 6 | 62 | 22.61 |