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Validation of a novel automated signal analysis tool for ablation of Wolff-Parkinson-White Syndrome

Author

Listed:
  • Scott R Ceresnak
  • Robert H Pass
  • Anne M Dubin
  • Lingyao Yang
  • Kara S Motonaga
  • Haley Hedlin
  • Kishor Avasarala
  • Anthony Trela
  • Doff B McElhinney
  • Christopher Janson
  • Lynn Nappo
  • Xuefeng B Ling
  • Gregory J Gates

Abstract

Background: In previous pilot work we demonstrated that a novel automated signal analysis tool could accurately identify successful ablation sites during Wolff-Parkinson-White (WPW) ablation at a single center. Objective: We sought to validate and refine this signal analysis tool in a larger multi-center cohort of children with WPW. Methods: A retrospective review was performed of signal data from children with WPW who underwent ablation at two pediatric arrhythmia centers from 2008–2015. All patients with WPW ≤ 21 years who underwent invasive electrophysiology study and ablation with ablation signals available for review were included. Signals were excluded if temperature or power delivery was inadequate or lesion time was

Suggested Citation

  • Scott R Ceresnak & Robert H Pass & Anne M Dubin & Lingyao Yang & Kara S Motonaga & Haley Hedlin & Kishor Avasarala & Anthony Trela & Doff B McElhinney & Christopher Janson & Lynn Nappo & Xuefeng B Lin, 2019. "Validation of a novel automated signal analysis tool for ablation of Wolff-Parkinson-White Syndrome," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-13, June.
    • Handle: RePEc:plo:pone00:0217282
    DOI: 10.1371/journal.pone.0217282
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