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A 46-year-old woman with type 1 myotonic dystrophy (DM1) presented to the emergency department with dyspnea and palpitations.
Department of Medical-Diagnostic Sciences, University of Padua, Padua, Italy Correspondence to Dr D Corrado, Department of Cardiac, Thoracic and Vascular Sciences, University of Padua Medical School, ...
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The Healthy @Reader's Digest on MSN11 Silent Signs of Heart Trouble You Shouldn’t IgnoreIf you can usually finish a run with ease, but are suddenly hit with severe fatigue, it could be a subtle sign of an ...
The AI and ECG combo can help uncover early signs of acute kidney injury, for example, or detect electrolyte abnormalities that may be caused by medications. Since ECGs are easily obtainable and ...
The purpose of this study was to evaluate whether the 12-lead ECG could be substituted by ECG sets with a limited number of leads. Materials and methods: The performance of three ECG systems (ie ...
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Woman's World on MSNIs Your HRV Normal for Your Age? What It Means for Your Heart HealthIf you wear a fitness tracker, you've likely seen a stat labeled "HRV" pop up on your screen. But what does it mean, and does ...
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Vashon-Maury Island Beachcomber on MSNInaugural heart screening helps VHS athletesAccording to the Mayo Clinic, sudden cardiac arrest — when the heart suddenly stops beating — is the leading cause of death in young athletes. But the rapid and proper use of an AED delivers an ...
Transesophageal echocardiography may be done to evaluate signs and symptoms that may suggest: Atherosclerosis. This is a gradual clogging of the arteries by fatty materials and other substances in the ...
From the Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, Md (D.S.K., W.J.K., F.H.G., M.B.); the ...
I have attended the A and E at the Royal Hospital Belfast and would like to say that long waiting, pain and discomfort while waiting to been seen are soon forgotten by the kind attention of nurses and ...
Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG ...
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