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Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis
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 …
of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been …
Arrhythmia detection and classification using ECG and PPG techniques: A review
Electrocardiogram (ECG) and photoplethysmograph (PPG) are non-invasive techniques that
provide electrical and hemodynamic information of the heart, respectively. This information …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
cardiac arrhythmia and a growing healthcare burden worldwide. It is often asymptomatic and …
A review of atrial fibrillation detection methods as a service
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 …
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
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 …
prevalence as the population ages, and presents with a broad spectrum of symptoms and …