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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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A new approach for TU complex characterization

TL;DR: A new TU complex detection and characterization algorithm that consists of two stages, including the inclusion of U-wave characterization and a mathematical modeling stage, that avoids many of the problems of classic techniques when there is a low signal-to-noise ratio or when wave morphology is atypical.
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Adjustment of QT dispersion assessed from 12 lead electrocardiograms for different numbers of analysed electrocardiographic leads: comparison of stability of different methods.

TL;DR: Important differences are found between different formulas for assessment of QT dispersion with respect to compensation for missing measurements ofQT interval and it is likely to be more appropriate to assess QT Dispersion from standardised constant sets of electrocardiographic leads.
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Phase-rectified signal averaging for the detection of quasi-periodicities and the prediction of cardiovascular risk.

TL;DR: The phase-rectified signal averaging method is presented as an efficient technique for the study of quasi-periodic oscillations in noisy, nonstationary signals and it is found that decreased DC is a more precise predictor of mortality in survivors of heart attack than left ventricular ejection fraction, the current "gold standard" risk predictor.
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The imprecision in heart rate correction may lead to artificial observations of drug induced QT interval changes

TL;DR: The study showed that the concept of “majority voting” by different heart rate correction formulas is inappropriate and may lead to erroneous conclusions.
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Prevalent low-frequency oscillation of heart rate: novel predictor of mortality after myocardial infarction.

TL;DR: An innovative analysis of frequency-domain HRV, which characterizes the distribution of spectral power within the low-frequency band, is a potent and independent risk stratifier in postinfarction patients.