Computational modelling of electrocardiograms: repolarisation and T-wave polarity in the human heart.
Computational modelling of electrocardiograms: repolarisation and T-wave polarity in the human heart.
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DOI:
10.1080/10255842.2012.729582
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发表时间:
2014
影响因子:
1.6
通讯作者:
Kuhl E
中科院分区:
文献类型:
--
作者:
Hurtado DE;Kuhl E
For more than a century, electrophysiologists, cardiologists, and engineers have studied the electrical activity of the human heart to better understand rhythm disorders and possible treatment options. While the depolarization sequence of the heart is relatively well characterized, the repolarization sequence remains a subject of great controversy. Here we study regional and temporal variations in both depolarization and repolarization using a finite element approach. We discretize the governing equations in time using an unconditionally stable implicit Euler backward scheme and in space using a consistently linearized Newton-Raphson-based finite element solver. Through systematic parameter-sensitivity studies, we establish a direct relation between a normal positive T-wave and the non-uniform distribution of the controlling parameter, which we have termed refractoriness. To establish a healthy baseline model, we calibrate the refractoriness using clinically measured action potential durations at different locations in the human heart. We demonstrate the potential of our model by comparing the computationally predicted and clinically measured depolarization and repolarization profiles across the left ventricle. The proposed framework allows us to explore how local action potential durations on the microscopic scale translate into global repolarization sequences on the macroscopic scale. We anticipate that our calibrated human heart model can be widely used to explore cardiac excitation in health and disease. For example, our model can serve to identify optimal pacing sites in patients with heart failure and to localize optimal ablation sites in patients with cardiac fibrillation.
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影响因子:
1.3
作者:
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通讯作者:
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DOI:
10.1152/ajpheart.01241.2010
发表时间:
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影响因子:
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作者:
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通讯作者:
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DOI:
10.1080/10255842.2011.554410
发表时间:
2012-01-01
影响因子:
1.6
作者:
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通讯作者:
Kuhl, Ellen
影响因子:
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作者:
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通讯作者:
FITZHUGH, R