Exploring Ventricular Repolarization Gradients in Control Subjects Using the Equivalent Dipole Layer

Manon Kloosterman*, MacHteld J. Boonstra, Iris Van Der Schaaf, Peter Loh, Peter M. Van Dam

*Corresponding author for this work

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

Abstract

The electrical activity underlying the T-wave is less well understood compared to the QRS complex. In this study we aim to investigate the relationship between T-wave morphology and the underlying ventricular repolarization gradients using the equivalent dipole layer (EDL). Body-surface-potential-maps (67-leads) were obtained in nine control subjects. Subject specific CT/MRI-based anatomical heart/torso models with electrode positions were created. The boundary element method was used to compute the transfer matrix to account for the volume conductor effects. The source strength at each ventricular node of the EDL was defined by the shape of the transmembrane potential (TMP). A new template for the TMP was created and different slopes were tested for the plateau phase of the TMP. Three ventricular gradients were applied: a) transmural, b) interventricular c) apicobasal and d) combined. Realistic T-waves could be simulated for all three ventricular repolarization gradients with the apico-basal gradient resulting in the best fit. Combination of all three gradients further improved the match between measured and simulated T-waves, indicating that all three gradients are required in the genesis of the T-wave. The knowledge obtained in this study will be used to optimize the initial estimate in our EDL based inverse procedure.

Original languageEnglish
Title of host publicationComputing in Cardiology, CinC 2023
PublisherIEEE Computer Society Press
Pages1-4
Number of pages4
ISBN (Electronic)9798350382525
DOIs
Publication statusPublished - 2023
Event50th Computing in Cardiology, CinC 2023 - Atlanta, United States
Duration: 1 Oct 20234 Oct 2023

Publication series

NameComputing in Cardiology
Volume50
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference50th Computing in Cardiology, CinC 2023
Country/TerritoryUnited States
CityAtlanta
Period1/10/234/10/23

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