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 …

Recurrent atrial fibrillation/flutter detection after ablation or cardioversion using the AliveCor KardiaMobile device: iHEART results

IL Goldenthal, RR Sciacca, T Riga… - Journal of …, 2019 - Wiley Online Library
Objective This study evaluated the impact of daily ECG (electrocardiogram) self‐recordings
on time to documented recurrent atrial fibrillation (AF) or atrial flutter (AFL) and time to …

[HTML][HTML] A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

T Atta-Fosu, M LaBarbera, S Ghose… - BMC Medical …, 2021 - Springer
Objective To investigate left atrial shape differences on CT scans of atrial fibrillation (AF)
patients with (AF+) versus without (AF−) post-ablation recurrence and whether these shape …

Characterization of f Waves

L Sörnmo, R Alcaraz, P Laguna, JJ Rieta - Atrial fibrillation from an …, 2018 - Springer
This chapter reviews different approaches to f wave characterization. The two fundamental
characteristics f wave amplitude and atrial fibrillatory rate are first considered, followed by a …

Systematic analysis of ECG predictors of sinus rhythm maintenance after electrical cardioversion for persistent atrial fibrillation

T Lankveld, CB de Vos, I Limantoro, S Zeemering… - Heart rhythm, 2016 - Elsevier
Background Electrical cardioversion (ECV) is one of the rhythm control strategies in patients
with persistent atrial fibrillation (AF). Unfortunately, recurrences of AF are common after ECV …

[HTML][HTML] Noninvasive assessment of atrial fibrillation complexity in relation to ablation characteristics and outcome

M Meo, T Pambrun, N Derval, C Dumas-Pomier… - Frontiers in …, 2018 - frontiersin.org
Background: The use of surface recordings to assess atrial fibrillation (AF) complexity is still
limited in clinical practice. We propose a noninvasive tool to quantify AF complexity from …

Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG

R Alcaraz, JJ Rieta - Computational and mathematical methods …, 2012 - Wiley Online Library
Atrial fibrillation (AF) is the most common supraventricular arrhythmia in clinical practice,
thus, being the subject of intensive research both in medicine and engineering. Wavelet …

[HTML][HTML] A 3D-CNN with temporal-attention block to predict the recurrence of atrial fibrillation based on body-surface potential mapping signals

G Zhong, X Feng, H Yuan, C Yang - Frontiers in Physiology, 2022 - frontiersin.org
Catheter ablation has become an important treatment for atrial fibrillation (AF), but its
recurrence rate is still high. The aim of this study was to predict AF recurrence using a three …

[HTML][HTML] A nurse-led approach to improving cardiac lifestyle modification in an atrial fibrillation population

KT Hickey, E Wan, H Garan, AB Biviano… - The Journal of …, 2019 - ncbi.nlm.nih.gov
Atrial fibrillation (AF) is a major public health problem and the most common cardiac
arrhythmia encountered in clinical practice at this time. AF is associated with numerous …

The need for standardization of time-and frequency-domain analysis of body surface electrocardiograms for assessment of the atrial fibrillation substrate

U Schotten, B Maesen, S Zeemering - Europace, 2012 - academic.oup.com
Despite some progress in the earlier decades, the current therapy of atrial fibrillation (AF) is
still far from being satisfactory. Antiarrhythmic drugs can restore sinus rhythm only during the …