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
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 ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Javier Saiz-Vivo ◽  
Valentina D. A. Corino ◽  
Robert Hatala ◽  
Mirko de Melis ◽  
Luca T. Mainardi

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.


2012 ◽  
Vol 28 (5) ◽  
pp. S110
Author(s):  
G.E. Seaborn ◽  
K. Todd ◽  
K.A. Michael ◽  
A. Baranchuk ◽  
H. Abdollah ◽  
...  

2013 ◽  
Vol 19 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Geoffrey E.J. Seaborn ◽  
Keith Todd ◽  
Kevin A. Michael ◽  
Adrian Baranchuk ◽  
Hoshiar Abdollah ◽  
...  

2020 ◽  
pp. 81-85
Author(s):  
E. P. Popova ◽  
O. T. Bogova ◽  
S. N. Puzin ◽  
D. A. Sychyov ◽  
V. P. Fisenko

Spectral analysis of heart rate variability gives an idea of the role of the autonomic nervous system in the regulation of chronotropic heart function. This method can be used to evaluate the effectiveness of drug therapy. Drug therapy should be carried out taking into account the individual clinical form of atrial fibrillation. Information about the vegetative status of the patient will undoubtedly increase the effectiveness of treatment. In this study, spectral parameters were studied in patients with newly diagnosed atrial fibrillation. The effect of antiarrhythmic drug class III amiodarone on the spectral parameters of heart rate variability was studied.


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