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Physiology-based regularization of the electrocardiographic inverse problem

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11517-016-1595-5

Authors


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Role:
Author
ORCID:
0000-0002-3456-7668
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0003-4062-3061
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Role:
Author
ORCID:
0000-0002-9973-8181


Publisher:
Springer Verlag
Journal:
Medical & Biological Engineering & Computing More from this journal
Volume:
55
Issue:
8
Pages:
1353–1365
Publication date:
2016-11-21
Acceptance date:
2016-10-26
DOI:
EISSN:
1741-0444
ISSN:
0140-0118
Pmid:
27873155


Language:
English
Keywords:
Pubs id:
pubs:693358
UUID:
uuid:5193cc42-da61-40c3-9e47-7e148e0fe164
Local pid:
pubs:693358
Source identifiers:
693358
Deposit date:
2019-01-24

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