M
Marek Malik
Researcher at National Institutes of Health
Publications - 548
Citations - 63023
Marek Malik is an academic researcher from National Institutes of Health. The author has contributed to research in topics: QT interval & Myocardial infarction. The author has an hindex of 78, co-authored 535 publications receiving 58778 citations. Previous affiliations of Marek Malik include St. George's University & Imperial College London.
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Journal ArticleDOI
Usefulness of Signal-Averaged Electrocardiography in Evaluation of Idiopathic-Dilated Cardiomyopathy in Families
Gang Yi,Philip J. Keeling,Katerina Hnatkova,Jonathan H. Goldman,Marek Malik,William J. McKenna +5 more
TL;DR: The signal-averaged ECG is frequently abnormal in patients with idiopathic dilated cardiomyopathy and relatives with left ventricular enlargement and similar positive predictive accuracy was achievable with spectral turbulence analysis and with time domain analysis.
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Is Vagal Innervation to the Atrioventricular Node Impaired After Radiofrequency Ablation of the Slow Atrioventricular Nodal Pathway
TL;DR: Patients with AVNRT have a preserved modulation of AV nodal conduction in response tovagal stimulation during sinus rhythm, and vagal stimulation seems to exert a predominant effect on the fast A V nodal pathway.
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Identification of electrocardiographic patterns.
TL;DR: This tutorial text discusses some of common features of pattern recognition and Identification and demonstrates their potential in example of T wave localizations in a surface EGG lead and of His-depolarization patterns in an intracardiac ECG recording.
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Predictive Characteristics of Holter‐Based Postinfarction Risk Stratifiers Appear Superior to Electrophysiological Testing
TL;DR: Compared with the noninvasive Holter‐based CRS, invasive PVS appears inferior in the identification of high‐risk post‐MI patients with left ventricular dysfunction.
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Atrial premature beats preceding episodes of paroxysmal atrial fibrillation: factorial analysis of a prediction system.
TL;DR: In this article, the increased frequency of atrial premature beats (APB) was found to be a predictor of the onset of Atrial Fibrillation (AF), and hypotheses were proposed that increased APB frequency might be a useful predictor of AF onset.