Validation of a novel automated signal analysis tool for ablation of Wolff-Parkinson-White Syndrome.
Scott R Ceresnak; Robert H Pass; Anne M Dubin; Lingyao Yang; Kara S Motonaga; Haley Hedlin; Kishor Avasarala; Anthony Trela · 2019 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
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 si
Abstract by Scott R Ceresnak; Robert H Pass; Anne M Dubin; Lingyao Yang; Kara S Motonaga; Haley Hedlin; Kishor Avasarala; Anthony Trela, PLoS ONE (2019) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1371/journal.pone.0217282