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Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation

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  • Yingjing Feng
  • Caroline H Roney
  • Jason D Bayer
  • Steven A Niederer
  • Mélèze Hocini
  • Edward J Vigmond

Abstract

Focal sources (FS) are believed to be important triggers and a perpetuation mechanism for paroxysmal atrial fibrillation (AF). Detecting FS and determining AF sustainability in atrial tissue can help guide ablation targeting. We hypothesized that sustained rotors during FS-driven episodes indicate an arrhythmogenic substrate for sustained AF, and that non-invasive electrical recordings, like electrocardiograms (ECGs) or body surface potential maps (BSPMs), could be used to detect FS and AF sustainability. Computer simulations were performed on five bi-atrial geometries. FS were induced by pacing at cycle lengths of 120–270 ms from 32 atrial sites and four pulmonary veins. Self-sustained reentrant activities were also initiated around the same 32 atrial sites with inexcitable cores of radii of 0, 0.5 and 1 cm. FS fired for two seconds and then AF inducibility was tested by whether activation was sustained for another second. ECGs and BSPMs were simulated. Equivalent atrial sources were extracted using second-order blind source separation, and their cycle length, periodicity and contribution, were used as features for random forest classifiers. Longer rotor duration during FS-driven episodes indicates higher AF inducibility (area under ROC curve = 0.83). Our method had accuracy of 90.6±1.0% and 90.6±0.6% in detecting FS presence, and 93.1±0.6% and 94.2±1.2% in identifying AF sustainability, and 80.0±6.6% and 61.0±5.2% in determining the atrium of the focal site, from BSPMs and ECGs of five atria. The detection of FS presence and AF sustainability were insensitive to vest placement (±9.6%). On pre-operative BSPMs of 52 paroxysmal AF patients, patients classified with initiator-type FS on a single atrium resulted in improved two-to-three-year AF-free likelihoods (p-value

Suggested Citation

  • Yingjing Feng & Caroline H Roney & Jason D Bayer & Steven A Niederer & Mélèze Hocini & Edward J Vigmond, 2022. "Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation," PLOS Computational Biology, Public Library of Science, vol. 18(3), pages 1-29, March.
  • Handle: RePEc:plo:pcbi00:1009893
    DOI: 10.1371/journal.pcbi.1009893
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