Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis

NJ Welton, A McAleenan, HHZ Thom… - Health technology …, 2017 - discovery.ucl.ac.uk
BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk
of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been …

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

O Faust, A Shenfield, M Kareem, TR San… - Computers in biology …, 2018 - Elsevier
Atrial Fibrillation (AF), either permanent or intermittent (paroxysnal AF), increases the risk of
cardioembolic stroke. Accurate diagnosis of AF is obligatory for initiation of effective …

A review of atrial fibrillation detection methods as a service

O Faust, EJ Ciaccio, UR Acharya - International journal of environmental …, 2020 - mdpi.com
Atrial Fibrillation (AF) is a common heart arrhythmia that often goes undetected, and even if it
is detected, managing the condition may be challenging. In this paper, we review how the …

Automatic detection of atrial fibrillation based on continuous wavelet transform and 2D convolutional neural networks

R He, K Wang, N Zhao, Y Liu, Y Yuan, Q Li… - Frontiers in …, 2018 - frontiersin.org
Atrial fibrillation (AF) is the most common cardiac arrhythmias causing morbidity and
mortality. AF may appear as episodes of very short (ie, proximal AF) or sustained duration …

Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity

S Ladavich, B Ghoraani - Biomedical Signal Processing and Control, 2015 - Elsevier
In this study, we propose a P-wave absence (PWA) based method for atrial fibrillation (AF)
identification over a short duration of electrocardiogram (ECG). The algorithm constructs a …

Improvements in atrial fibrillation detection for real-time monitoring

S Babaeizadeh, RE Gregg, ED Helfenbein… - Journal of …, 2009 - Elsevier
Electrocardiographic (ECG) monitoring plays an important role in the management of
patients with atrial fibrillation (AF). Automated real-time AF detection algorithm is an integral …

A novel method for detection of the transition between atrial fibrillation and sinus rhythm

C Huang, S Ye, H Chen, D Li, F He… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Automatic detection of atrial fibrillation (AF) for AF diagnosis, especially for AF monitoring, is
necessarily desirable for clinical therapy. In this study, we proposed a novel method for …

An automated detection of atrial fibrillation from single‑lead ECG using HRV features and machine learning

AS Udawat, P Singh - Journal of Electrocardiology, 2022 - Elsevier
Background Atrial fibrillation (AF) is a disorder of the heart rhythm where irregular and rapid
heartbeats are observed. This supraventricular arrhythmia may increase the risk of blood …

A novel domain adaptive residual network for automatic atrial fibrillation detection

Y Jin, C Qin, J Liu, K Lin, H Shi, Y Huang… - Knowledge-Based Systems, 2020 - Elsevier
Atrial fibrillation (AF) is the most common cardiac arrhythmia and shows a rising trend with
the increase of aged. Currently, existing intelligent AF detection methods have achieved …

Application of higher order statistics for atrial arrhythmia classification

RJ Martis, UR Acharya, H Prasad, CK Chua… - … signal processing and …, 2013 - Elsevier
Atrial fibrillation (AF) and atrial flutter (AFL) are the two common atrial arrhythmia
encountered in the clinical practice. In order to diagnose these abnormalities the …