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Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography. [PDF]
Johnson LS+56 more
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Checking Ablation Lines-Is Bidirectional Block Sufficient? [PDF]
Weyand S, Löbig S, Seizer P.
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How to indicate implantable cardioverter-defibrillator in the aging population. [PDF]
Orita R, Kataoka N, Imamura T.
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Acromegaly and Cardiovascular Disease: Associated Cardiovascular Risk Factors, Cardiovascular Prognosis, and Therapeutic Impact. [PDF]
Iglesias P.
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In-hospital outcomes of catheter ablation in atrial arrhythmias: a nationwide analysis of 2,901 patients with adult congenital heart disease compared to 787,995 without. [PDF]
Grundmann S+8 more
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2022
Heart rhythm disorders (cardiac arrhythmias) are a common cause of death and disability, affecting millions of individuals worldwide. More than half of sudden cardiac deaths are attributed to ventricular arrhythmias and atrial fibrillation, with the latter being the most prevalent clinical arrhythmia affecting >30 million individuals worldwide ...
Heijman, Jordi, Dobrev, Dobromir
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Heart rhythm disorders (cardiac arrhythmias) are a common cause of death and disability, affecting millions of individuals worldwide. More than half of sudden cardiac deaths are attributed to ventricular arrhythmias and atrial fibrillation, with the latter being the most prevalent clinical arrhythmia affecting >30 million individuals worldwide ...
Heijman, Jordi, Dobrev, Dobromir
openaire +2 more sources
LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
IEEE Transactions on Instrumentation and Measurement, 2020This paper introduces a novel deep learning-based algorithm that integrates a long short-term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) for electrocardiogram (ECG) arrhythmias classification.
Borui Hou+3 more
semanticscholar +1 more source