Kolmogorov complexity of coronary sinus atrial electrograms before ablation predicts termination of atrial fibrillation after pulmonary vein isolation

Katarzyna Stepień, Pawel Kuklik, Jan J. Zebrowski, Prashanthan Sanders, Paweł Derejko, Piotr Podziemski

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Atrial fibrillation (AF) is related to a very complex local electrical activity reflected in the rich morphology of intracardiac electrograms. The link between electrogram complexity and efficacy of the catheter ablation is unclear. We test the hypothesis that the Kolmogorov complexity of a single atrial bipolar electrogram recorded during AF within the coronary sinus (CS) at the beginning of the catheter ablation may predict AF termination directly after pulmonary vein isolation (PVI). The study population consisted of 26 patients for whom 30 s baseline electrograms were recorded. In all cases PVI was performed. If AF persisted after PVI, ablation was extended beyond PVs. Kolmogorov complexity estimated by Lempel-Ziv complexity and the block decomposition method was calculated and compared with other measures: Shannon entropy, AF cycle length, dominant frequency, regularity, organization index, electrogram fractionation, sample entropy and wave morphology similarity index. A 5 s window length was chosen as optimal in calculations. There was a significant difference in Kolmogorov complexity between patients with AF termination directly after PVI compared to patients undergoing additional ablation (p < 0.01). No such difference was seen for remaining complexity parameters. Kolmogorov complexity of CS electrograms measured at baseline before PVI can predict self-termination of AF directly after PVI.

Original languageEnglish
Article number970
Issue number10
Publication statusPublished or Issued - 1 Oct 2019
Externally publishedYes


  • Atrial fibrillation
  • Catheter ablation
  • Electrogram complexity
  • Kolmogorov complexity
  • Shannon entropy
  • Symbolic dynamics

ASJC Scopus subject areas

  • Information Systems
  • Mathematical Physics
  • Physics and Astronomy (miscellaneous)
  • Electrical and Electronic Engineering

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