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Detection of incomplete left bundle branch block by non-invasive electrocardiographic imaging

  • Laura Bear*
  • , Peter Huntjens
  • , Ruben Coronel
  • , Olivier Bernus
  • , Corentin Dallet
  • , Richard Walton
  • , Remi Dubois
  • *Corresponding author for this work
  • IHU LIRYC
  • CRCTB Inserm U1045
  • Université de Bordeaux
  • Maastricht University

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

Abstract

This study sought to compare noninvasive ECGi with local epicardial activation time mapping to detect subtle electrical dyssynchrony between the left and right ventricles. We used an ex-vivo porcine model of complete and incomplete left bundle branch block (LBBB) in an experimental torso-tank. LBBB was induced in Langendorff-perfused pig hearts suspended in tank shaped as a male torso fitted with 256 body surface electrodes and 108 epicardial electrodes. Epicardial and surface potentials were recorded during sinus rhythm and ventricular pacing. Post-experiment MRI provided the epicardial geometry and electrode (epicardial and surface) locations. Epicardial electrograms were calculated and the derived reconstructed values for electrical dyssynchrony were compared to those recorded. LBBB with varying levels of electrical delay was successfully induced in 7 out of 8 hearts, with incomplete LBBB present in 4. ECGi correctly identified the presence/absence of dyssynchronous activity in 7 of the 8 cases, including incomplete LBBB with very subtle delay (VEU = 17 ms, TAT = 45 ms). Overall, there was no significant difference between measured and calculated VEU (p=0.06), or TAT values (p=0.21).

Original languageEnglish
Title of host publicationComputing in Cardiology Conference, CinC 2016
PublisherIEEE Computer Society
Pages389-392
Number of pages4
ISBN (Electronic)9781509008964
Publication statusPublished - 1 Mar 2016
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: 11 Sept 201614 Sept 2016

Publication series

NameComputing in Cardiology
Volume43
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference43rd Computing in Cardiology Conference, CinC 2016
Country/TerritoryCanada
CityVancouver
Period11/09/201614/09/2016

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