Validation of a novel algorithm for quantification of the percentage of signal fractionation in atrial fibrillation
Author(s) -
Charlotte Haley,
Lorne J. Gula,
Rodrigo Miranda,
Kevin A. Michael,
Adrián Baranchuk,
Christopher S. Simpson,
Hoshiar Abdollah,
Adam J. West,
Selim G. Akl,
Damian Redfearn
Publication year - 2012
Publication title -
ep europace
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.119
H-Index - 102
eISSN - 1532-2092
pISSN - 1099-5129
DOI - 10.1093/europace/eus361
Subject(s) - medicine , atrial fibrillation , algorithm , cardiology , cardiac arrhythmia , computer science
Catheter ablation for paroxysmal atrial fibrillation (AF) is rapidly becoming a standard practice. There is literature to support that catheter ablation of persistent AF requires additional 'substrate modification'. In clinical practice, operators rely on automated fractionation maps created by three-dimensional anatomic mapping systems to rapidly assess complex 'fractionated' signals (CFAE). These systems use differing algorithms to automate the process. The agreement between operators and contemporary algorithms has not been examined. We sought to assess the agreement between operators and a novel method of quantification calculating percentage fractionation (PF).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom