Acute Changes in P-Wave Morphology by Pulmonary Vein Isolation in Atrial Fibrillation Patients

Ali Gharaviri*, Matthias Zink, Mark Potse, Simone Pezzuto, Stef Zeemering, Rolf Krause, Angelo Auricchio, Ulrich Schotten

*Corresponding author for this work

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

2 Scopus citations

Abstract

Pulmonary vein (PV) plays an important role in atrial fibrillation (AF) initiation, progression, and stability. Successful PV isolation (PVI), either by radiofrequency catheter or Cryoballoon ablation, may terminate AF and prevent its recurrence. Whereas, incomplete PV isolation or reconnection of isolated PVs underlies mechanisms of AF recurrence. Hence, defining parameters able to predict a successful PVI and detect reconnections can assist clinicians in treatment of AF patients. Here, we developed a highly detailed human atrial model to simulate PVI and its acute effect on the P-wave morphology. Afterwards, the simulation results were compared and validated by recorded ECGs from patients before and after PVI procedure. In both simulation data and clinical recordings, we observed morphological changes in P-wave after PVI. More importantly our simulation helped us to find electrode positions, in which the differences in P-wave morphology before and after PVI were more pronounced.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781728109589
DOIs
StatePublished - Sep 2018
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: Sep 23 2018Sep 26 2018

Publication series

NameComputing in Cardiology
Volume2018-September
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference45th Computing in Cardiology Conference, CinC 2018
Country/TerritoryNetherlands
CityMaastricht
Period09/23/1809/26/18

Bibliographical note

Publisher Copyright:
© 2018 Creative Commons Attribution.

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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