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 …

Arrhythmia detection and classification using ECG and PPG techniques: A review

Neha, HK Sardana, R Kanwade, S Tewary - Physical and Engineering …, 2021 - Springer
Electrocardiogram (ECG) and photoplethysmograph (PPG) are non-invasive techniques that
provide electrical and hemodynamic information of the heart, respectively. This information …

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 …

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 …

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 …

Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy

X Zhou, H Ding, B Ung, E Pickwell-MacPherson… - Biomedical engineering …, 2014 - Springer
Background Atrial fibrillation (AF) is the most common and debilitating abnormalities of the
arrhythmias worldwide, with a major impact on morbidity and mortality. The detection of AF …

[HTML][HTML] Computer vision-based limestone rock-type classification using probabilistic neural network

AK Patel, S Chatterjee - Geoscience Frontiers, 2016 - Elsevier
Proper quality planning of limestone raw materials is an essential job of maintaining desired
feed in cement plant. Rock-type identification is an integrated part of quality planning for …

Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation

M García, J Ródenas, R Alcaraz, JJ Rieta - computer methods and …, 2016 - Elsevier
Abstract Background and Objectives Atrial fibrillation (AF) is the most common sustained
cardiac arrhythmia and a growing healthcare burden worldwide. It is often asymptomatic and …

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 …

A real-time atrial fibrillation detection algorithm based on the instantaneous state of heart rate

X Zhou, H Ding, W Wu, Y Zhang - PloS one, 2015 - journals.plos.org
Atrial fibrillation (AF), the most frequent cause of cardioembolic stroke, is increasing in
prevalence as the population ages, and presents with a broad spectrum of symptoms and …