Comprehensive risk reduction in patients with atrial fibrillation: emerging diagnostic and therapeutic options—a report from the 3rd Atrial Fibrillation Competence …
P Kirchhof, GYH Lip, IC Van Gelder, J Bax, E Hylek… - Europace, 2012 - academic.oup.com
While management of atrial fibrillation (AF) patients is improved by guideline-conform
application of anticoagulant therapy, rate control, rhythm control, and therapy of …
application of anticoagulant therapy, rate control, rhythm control, and therapy of …
The ECG as a tool to determine atrial fibrillation complexity
TAR Lankveld, S Zeemering, HJGM Crijns, U Schotten - Heart, 2014 - heart.bmj.com
The use of the ECG for atrial fibrillation (AF) in clinical daily practice is still limited to its
diagnosis. Recent research shows however that ECG-derived parameters can also be used …
diagnosis. Recent research shows however that ECG-derived parameters can also be used …
Atrial fibrillation complexity parameters derived from surface ECGs predict procedural outcome and long-term follow-up of stepwise catheter ablation for atrial …
T Lankveld, S Zeemering, D Scherr… - Circulation …, 2016 - Am Heart Assoc
Background—The success rate of catheter ablation for persistent atrial fibrillation (AF) is still
far from satisfactory. Identification of patients who will benefit from ablation is highly …
far from satisfactory. Identification of patients who will benefit from ablation is highly …
Spatial variability of the 12-lead surface ECG as a tool for noninvasive prediction of catheter ablation outcome in persistent atrial fibrillation
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia encountered in
clinical practice. Radiofrequency catheter ablation (CA) is increasingly employed to treat this …
clinical practice. Radiofrequency catheter ablation (CA) is increasingly employed to treat this …
Novel risk score for predicting recurrence of atrial fibrillation after the Cryo-Maze procedure
T Kakuta, S Fukushima, K Minami… - European Journal of …, 2021 - academic.oup.com
A predictive model for atrial fibrillation recurrence and the rate of freedom from atrial
fibrillation recurrence by each score OBJECTIVES This study aimed to develop a novel risk …
fibrillation recurrence by each score OBJECTIVES This study aimed to develop a novel risk …
Noninvasive time and frequency predictors of long‐standing atrial fibrillation early recurrence after electrical cardioversion
Background: Several clinical factors have been studied to predict atrial fibrillation (AF)
recurrence after electrical cardioversion (ECV) with limited predictive value. Methods: A …
recurrence after electrical cardioversion (ECV) with limited predictive value. Methods: A …
The Amplitude of Fibrillatory Waves on Leads aVF and V1 Predicting the Recurrence of Persistent Atrial Fibrillation Patients Who Underwent Catheter Ablation
Z Cheng, H Deng, K Cheng, T Chen… - Annals of …, 2013 - Wiley Online Library
Objective To evaluate whether the amplitude of fibrillatory wave (F wave) on
electrocardiography could predict the recurrence in persistent atrial fibrillation (AF) patients …
electrocardiography could predict the recurrence in persistent atrial fibrillation (AF) patients …
Preoperative prediction of catheter ablation outcome in persistent atrial fibrillation patients through spectral organization analysis of the surface fibrillatory waves
Catheter ablation (CA) is a commonly used treatment for persistent atrial fibrillation (AF).
Since its medium/long-term success rate remains limited, preoperative prediction of its …
Since its medium/long-term success rate remains limited, preoperative prediction of its …
Electrocardiographic spectral features for long-term outcome prognosis of atrial fibrillation catheter ablation
Atrial fibrillation (AF) is the most common arrhythmia in routine clinical practice. Despite
many years of research, its mechanisms still are not well understood, thus reducing the …
many years of research, its mechanisms still are not well understood, thus reducing the …
xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Deep learning-based methods have demonstrated high classification performance in the
detection of cardiovascular diseases from electrocardiograms (ECGs). However, their …
detection of cardiovascular diseases from electrocardiograms (ECGs). However, their …