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In silico validation of electrocardiographic imaging to reconstruct the endocardial and epicardial repolarization pattern using the equivalent dipole layer source model

Waal, Jeanne van der; Meijborg, Veronique; Schuler, Steffen 1; Coronel, Ruben; Oostendorp, Thom
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)


The solution of the inverse problem of electrocardiology allows the reconstruction of the spatial distribution of the electrical activity of the heart from the body surface electrocardiogram (electrocardiographic imaging, ECGI). ECGI using the equivalent dipole layer (EDL) model has shown to be accurate for cardiac activation times. However, validation of this method to determine repolarization times is lacking. In the present study, we determined the accuracy of the EDL model in reconstructing cardiac repolarization times, and assessed the robustness of the method under less ideal conditions (addition of noise and errors in tissue conductivity). A monodomain model was used to determine the transmembrane potentials in three different excitationrepolarization patterns (sinus beat and ventricular ectopic beats) as the gold standard. These were used to calculate the body surface ECGs using a finite element model. The resulting body surface electrograms (ECGs) were used as input for the EDLbased inverse reconstruction of repolarization times. The reconstructed repolarization times correlated well (COR > 0.85) with the gold standard, with almost no decrease in correlation after adding errors in tissue conductivity of the model or noise to the body surface ECG. ... mehr

Postprint §
DOI: 10.5445/IR/1000120606
Veröffentlicht am 25.06.2020
DOI: 10.1007/s11517-020-02203-y
Zitationen: 7
Web of Science
Zitationen: 5
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0140-0118, 1741-0444
KITopen-ID: 1000120606
Erschienen in Medical & biological engineering & computing
Verlag Springer
Band 58
Seiten 1739–1749
Vorab online veröffentlicht am 31.05.2020
Schlagwörter Equivalent dipole layer, Electrocardiographic imaging (ECGI), Inverse problem of ECG, Repolarization, Cardiac arrhythmias
Nachgewiesen in Scopus
Web of Science
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