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A reliable detection of atrial fibrillation (AF) in Electrocardiogram (ECG) monitoring systems is significant for early treatment and health risk reduction.
Dec 12, 2012 · SUMMARY. A reliable detection of atrial fibrillation (AF) in Electro- cardiogram (ECG) monitoring systems is significant for early treatment ...
Oct 22, 2024 · It includes an active learning method in conjunction with an ECG parameter customization technique to achieve a better AF arrhythmia detection ...
Dec 1, 2012 · It includes an active learning method in conjunction with an ECG parameter customization technique to achieve a better AF arrhythmia detection ...
Detection of patients at risk for paroxysmal atrial fibrillation during sinus rhythm by P wave-triggered signal-averaged electrocardiogram. Fukunami M., Yamada ...
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Blood pressure monitors offer pulse rhythm detection, making this another technology for AF screening which is cost-effective and easy to use in daily routine.
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This study presents a deep-learning model capable of predicting the transition from SR to AF on average 30.8 min before the onset appears, with an accuracy of ...
Employing the Mixture of Experts classification proceeds to ensure precise decision-making on the output of different pro- cesses. By means of Multilayer ...
Mar 11, 2022 · Other modalities include utilizing external loop recorders (ELRs) or triggered event recorders which can diagnose up to 60% of cases; however, ...
In brief. Unlocking the potential of wearable technology for cardiac health, this paper presents a deep learning model that can predict atrial fibrillation ...