The predictive value of heart rate variability indices tested in early period after radiofrequency catheter ablation for the recurrence of atrial fibrillation

2020 ◽  
Vol 31 (6) ◽  
pp. 1350-1355
Author(s):  
Zhenyan Zhu ◽  
Weiming Wang ◽  
Yamin Cheng ◽  
Xiaoqing Wang ◽  
Jianhui Sun
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Catheter Ablation ◽  
Predictive Value ◽  
Radiofrequency Catheter Ablation ◽  
Early Period

scholarly journals Alterations of Heart Rate Variability After Radiofrequency Catheter Ablation of Focal Atrial Fibrillation Originating From Pulmonary Veins

Circulation ◽  
1999 ◽  
Vol 100 (22) ◽  
pp. 2237-2243 ◽  
Author(s):  
Ming-Hsiung Hsieh ◽  
Chuen-Wang Chiou ◽  
Zu-Chi Wen ◽  
Chieh-Hung Wu ◽  
Ching-Tai Tai ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Catheter Ablation ◽  
Radiofrequency Catheter Ablation ◽  
Pulmonary Veins

144 The influence of radiofrequency catheter ablation of right ventricle outflow tract on heart rate variability

EP Europace ◽  
2005 ◽  
Vol 7 (Supplement_1) ◽  
pp. 22-22
Author(s):  
B. Sredniawa ◽  
A. Musialik-Lydka ◽  
P. Pruszkowska-Skrzep ◽  
R. Lenarczyk ◽  
O. Kowalski ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Catheter Ablation ◽  
Right Ventricle ◽  
Radiofrequency Catheter Ablation ◽  
Outflow Tract

scholarly journals Heart rate variability changes following catheter ablation for atrial fibrillation

2020 ◽  
Vol 78 (3) ◽  
pp. 179-180
Author(s):  
Alena Shantsila ◽  
Dhiraj Gupta ◽  
Gregory Y. H. Lip
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Catheter Ablation

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

2021 ◽  
Vol 12 ◽  
Author(s):  
Javier Saiz-Vivo ◽  
Valentina D. A. Corino ◽  
Robert Hatala ◽  
Mirko de Melis ◽  
Luca T. Mainardi
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Catheter Ablation ◽  
Success Rate ◽  
Search Algorithm ◽  
Support Vector ◽  
Ensemble Classifiers ◽  
K Nearest Neighbor ◽  
Af Recurrence

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 ensemble classifier which would enable a more effective pre-ablation patient triage that could reduce the economic and personal burden of the procedure by increasing the success rate of first catheter ablation.

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