A review on the state of the art in atrial fibrillation detection enabled by machine learning
Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the
main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally …
main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally …
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms
The application of non-linear metrics to physiological signals is a valuable tool because
“hidden information” related to underlying mechanisms can be obtained. In this respect …
“hidden information” related to underlying mechanisms can be obtained. In this respect …
Robust independent component analysis by iterative maximization of the kurtosis contrast with algebraic optimal step size
Independent component analysis (ICA) aims at decomposing an observed random vector
into statistically independent variables. Deflation-based implementations, such as the …
into statistically independent variables. Deflation-based implementations, such as the …
Electrocardiographic imaging for atrial fibrillation: a perspective from computer models and animal experiments to clinical value
Electrocardiographic imaging (ECGI) is a technique to reconstruct non-invasively the
electrical activity on the heart surface from body-surface potential recordings and geometric …
electrical activity on the heart surface from body-surface potential recordings and geometric …
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 …
Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms
The proper analysis and characterization of atrial fibrillation (AF) from surface
electrocardiographic (ECG) recordings requires to cancel out the ventricular activity (VA) …
electrocardiographic (ECG) recordings requires to cancel out the ventricular activity (VA) …
Analysis of a deep learning model for 12-lead ECG classification reveals learned features similar to diagnostic criteria
T Bender, JM Beinecke, D Krefting… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Despite their remarkable performance, deep neural networks remain unadopted in clinical
practice, which is considered to be partially due to their lack of explainability. In this work, we …
practice, which is considered to be partially due to their lack of explainability. In this work, we …
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis
Sample entropy (SampEn) is a nonlinear regularity index that requires the a priori selection
of three parameters: the length of the sequences to be compared, m, the patterns similarity …
of three parameters: the length of the sequences to be compared, m, the patterns similarity …
Early and comprehensive management of atrial fibrillation: proceedings from the 2nd AFNET/EHRA consensus conference on atrial fibrillation entitled 'research …
P Kirchhof, J Bax, C Blomstrom-Lundquist, H Calkins… - Europace, 2009 - academic.oup.com
Atrial fibrillation (AF) is already an endemic disease, and its prevalence is soaring, due to
both an increasing incidence of the arrhythmia and an age-related increase in its …
both an increasing incidence of the arrhythmia and an age-related increase in its …
Atrial fibrillation detected by continuous electrocardiographic monitoring using implantable loop recorder to prevent stroke in individuals at risk (the LOOP study) …
SZ Diederichsen, KJ Haugan, L Køber, S Højberg… - American heart …, 2017 - Elsevier
Background Atrial fibrillation (AF) increases the rate of stroke 5-fold, and AF-related strokes
have a poorer prognosis compared with non–AF-related strokes. Atrial fibrillation and stroke …
have a poorer prognosis compared with non–AF-related strokes. Atrial fibrillation and stroke …