A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signals

Luca Faes, Alessandro Cristoforetti, Ulrike Richter, Luca Faes, Leif Sörnmo, Michela Masè, Flavia Ravelli, Martin Stridh

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordings, selected to present typical propagation mechanisms and recording situations in atrial tachyarrhythmias. In both simulation scenarios the significant PDCs correctly reflect the direction of coupling and thus the propagation between all recording sites. In the real data recordings, clear propagation patterns are identified which agree with previous clinical observations. Thus, the results illustrate the ability of the novel approach to identify propagation patterns from intracardiac signals during AF, which can provide important information about the underlying AF mechanisms, potentially improving the planning and outcome of arrhythmia ablation. © 2010 Biomedical Engineering Society.
Original languageEnglish
Pages (from-to)310-323
Number of pages14
JournalAnnals of Biomedical Engineering
Volume39
Publication statusPublished - 2011

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signals'. Together they form a unique fingerprint.

Cite this