Physiology-based regularization of the electrocardiographic inverse problem.
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 develo...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1353 - 1366 |
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| Autores principales: | , , , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Aug2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485682&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485682 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2017 vid: 55 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485682 124485682 143991571 NLM27873155 124485682 10.1007/s11517-016-1595-5 NLM27873155 124485682 ppf: 1353 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Physiology-based regularization of the electrocardiographic inverse problem. aug: au: Cluitmans, Matthijs Clerx, Michael Vandersickel, Nele Peeters, Ralf Volders, Paul Westra, Ronald Cluitmans, Matthijs J M Peeters, Ralf L M Volders, Paul G A Westra, Ronald L affil: Department of Data Science and Knowledge Engineering and CARIM School for Cardiovascular Diseases , Maastricht University , Maastricht The Netherlands sug: subj: Action Potentials Physiology Heart Conduction System Physiology Models, Biological Diagnosis, Computer Assisted Methods Body Surface Potential Mapping Methods Electrocardiography Methods Algorithms Dogs Reproducibility of Results Sensitivity and Specificity Animals Computer Simulation Animal Studies ab: 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. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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