Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes
Published 2023 View Full Article
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Title
Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes
Authors
Keywords
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Journal
npj Digital Medicine
Volume 6, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-03-27
DOI
10.1038/s41746-023-00791-1
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Note: Only part of the references are listed.- An intelligent computer-aided approach for atrial fibrillation and atrial flutter signals classification using modified bidirectional LSTM network
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- Low-complexity detection of atrial fibrillation in continuous long-term monitoring
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- Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy
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- AF burden is important - fact or fiction?
- (2014) G. Boriani et al. INTERNATIONAL JOURNAL OF CLINICAL PRACTICE
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- (2014) Travis J Moss et al. PHYSIOLOGICAL MEASUREMENT
- Results From a Single-Blind, Randomized Study Comparing the Impact of Different Ablation Approaches on Long-Term Procedure Outcome in Coexistent Atrial Fibrillation and Flutter (APPROVAL)
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- (2013) Staffan Björck et al. STROKE
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- Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices
- (2010) Douglas E. Lake et al. AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY
- A Detector for a Chronic Implantable Atrial Tachyarrhythmia Monitor
- (2008) S. Sarkar et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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