Quantifying the origins of population variability in cardiac electrical activity through sensitivity analysis of the electrocardiogram.
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Comprehensive analyses of ventricular myocyte models identify targets exhibiting favorable rate dependenceHeritability of ECG Biomarkers in the Netherlands Twin Registry Measured from Holter ECGs.Getting to the heart of hERG K(+) channel gating.Quantitative Comparison of Effects of Dofetilide, Sotalol, Quinidine, and Verapamil between Human Ex vivo Trabeculae and In silico Ventricular Models Incorporating Inter-Individual Action Potential Variability.Multiscale cardiac modelling reveals the origins of notched T waves in long QT syndrome type 2.Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms.Arrhythmia: 100 years on from George Ralph Mines.Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research
P2860
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P2860
Quantifying the origins of population variability in cardiac electrical activity through sensitivity analysis of the electrocardiogram.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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name
Quantifying the origins of pop ...... ysis of the electrocardiogram.
@en
Quantifying the origins of pop ...... ysis of the electrocardiogram.
@nl
type
label
Quantifying the origins of pop ...... ysis of the electrocardiogram.
@en
Quantifying the origins of pop ...... ysis of the electrocardiogram.
@nl
prefLabel
Quantifying the origins of pop ...... ysis of the electrocardiogram.
@en
Quantifying the origins of pop ...... ysis of the electrocardiogram.
@nl
P2093
P2860
P1476
Quantifying the origins of pop ...... lysis of the electrocardiogram
@en
P2093
Adam P Hill
Arash Sadrieh
Luke Domanski
Rajesh N Subbiah
Stefan A Mann
P2860
P304
P356
10.1113/JPHYSIOL.2013.251710
P407
P577
2013-04-03T00:00:00Z