Heart Rate Variability and Clinical Features as Predictors of Atrial Fibrillation Recurrence After Catheter Ablation: A Pilot Study.

Frontiers in Physiology
Javier Saiz-VivoLuca T Mainardi

Abstract

Single-procedure catheter ablation success rate is as low as 52% in atrial fibrillation (AF) patients. This study evaluated the feasibility of using clinical data and heart rate variability (HRV) features extracted from an implantable cardiac monitor (ICM) to predict recurrences in patients prior to undergoing catheter ablation for AF. HRV-derived features were extracted from the 500 beats preceding the AF onset and from the first 2 min of the last AF episode recorded by an ICM of 74 patients (67% male; 57 ± 12 years; 26% non-paroxysmal AF; 57% AF recurrence) before undergoing their first AF catheter ablation. Two types of classification algorithm were studied to predict AF recurrence: single classifiers including support vector machines, classification and regression trees, and K-nearest neighbor classifiers as well as ensemble classifiers. The sequential forward floating search algorithm was used to select the optimum feature set for each classification method. The optimum weighted voting method, which used an optimum combination of the single classifiers, was the best overall classifier (accuracy = 0.82, sensitivity = 0.76, and specificity = 0.87). Clinical and HRV features can be used to predict rhythm outcome using an ense...Continue Reading

References

Jan 12, 2001·Journal of the American College of Cardiology·F LombardiC Fiorentini
Feb 18, 2010·Circulation. Arrhythmia and Electrophysiology·Gerhard HindricksUNKNOWN XPECT Trial Investigators
May 22, 2010·Journal of Cardiovascular Electrophysiology·Ethan M BalkStanley Ip
Mar 30, 2013·Journal of the American Heart Association·Anand N GanesanPrashanthan Sanders
Jul 3, 2013·Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology·Konstantinos P LetsasAntonios Sideris
Oct 12, 2013·Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc·Geoffrey E J SeabornDamian P Redfearn
Apr 17, 2015·Clinical Research in Cardiology : Official Journal of the German Cardiac Society·Jelena KornejAndreas Bollmann
Sep 10, 2015·Bratislavské lekárske listy·H Bou EzzeddineR Hatala
Aug 28, 2016·European Heart Journal·Paulus KirchhofUNKNOWN ESC Scientific Document Group
Aug 22, 2018·International Journal of Cardiology·Tatjana S PotparaGregory Y H Lip
Mar 2, 2019·Anatolian Journal of Cardiology·Fabian Nicolas JudLaurent Max Haegeli
Feb 6, 2020·IEEE Reviews in Biomedical Engineering·Mohammad-Parsa HosseiniKiarash Ahi
May 28, 2019·Entropy·Alfonso Delgado-Bonal, Alexander Marshak

❮ Previous
Next ❯

Software Mentioned

SVMp
Reveal LINQ
MB
Matlab
SPSS
LATER
Medtronic
SUCCESS
SVMg
OWV

Related Concepts

Related Feeds

Atrial Fibrillation

Atrial fibrillation is a common arrhythmia that is associated with substantial morbidity and mortality, particularly due to stroke and thromboembolism. Here is the latest research.

Atrial Filbrillation

Atrial fibrillation refers to the abnormal heart rhythm characterized by rapid and irregular beating of the atria. Here is the latest research.

Arrhythmia

Arrhythmias are abnormalities in heart rhythms, which can be either too fast or too slow. They can result from abnormalities of the initiation of an impulse or impulse conduction or a combination of both. Here is the latest research on arrhythmias.