Literature DB >> 21536516

Impact of physiological ventricular deformation on the morphology of the T-wave: a hybrid, static-dynamic approach.

David U J Keller1, Oussama Jarrousse, Thomas Fritz, Sebastian Ley, Olaf Dossel, Gunnar Seemann.   

Abstract

Ventricular wall deformation is widely assumed to have an impact on the morphology of the T-wave that can be measured on the body surface. This study aims at quantifying these effects based on an in silico approach. To this end, we used a hybrid, static-dynamic approach: action potential propagation and repolarization were simulated on an electrophysiologically detailed but static 3-D heart model while the forward calculation accounted for ventricular deformation and the associated movement of the electrical sources (thus, it was dynamic). The displacement vectors that describe the ventricular motion were extracted from cinematographic and tagged MRI data using an elastic registration procedure. To probe to what extent the T-wave changes depend on the synchrony/asynchrony of mechanical relaxation and electrical repolarization, we created three electrophysiological configurations, each with a unique QT time: a setup with physiological QT time, a setup with pathologically short QT time (SQT), and pathologically long QT time (LQT), respectively. For all three electrophysiological configurations, a reduction of the T-wave amplitude was observed when the dynamic model was used for the forward calculations. The largest amplitude changes and the lowest correlation coefficients between the static and dynamic model were observed for the SQT setup, followed by the physiological QT and LQT setups.
© 2011 IEEE

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Year:  2011        PMID: 21536516     DOI: 10.1109/TBME.2011.2147785

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

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Journal:  J Cardiovasc Transl Res       Date:  2012-01-27       Impact factor: 4.132

2.  Comparison of Electric- and Magnetic-Cardiograms Produced by Myocardial Ischemia in Models of the Human Ventricle and Torso.

Authors:  Erick A Perez Alday; Haibo Ni; Chen Zhang; Michael A Colman; Zizhao Gan; Henggui Zhang
Journal:  PLoS One       Date:  2016-08-24       Impact factor: 3.240

3.  Human ventricular activation sequence and the simulation of the electrocardiographic QRS complex and its variability in healthy and intraventricular block conditions.

Authors:  Louie Cardone-Noott; Alfonso Bueno-Orovio; Ana Mincholé; Nejib Zemzemi; Blanca Rodriguez
Journal:  Europace       Date:  2016-12       Impact factor: 5.214

4.  In silico validation of electrocardiographic imaging to reconstruct the endocardial and epicardial repolarization pattern using the equivalent dipole layer source model.

Authors:  Jeanne van der Waal; Veronique Meijborg; Steffen Schuler; Ruben Coronel; Thom Oostendorp
Journal:  Med Biol Eng Comput       Date:  2020-05-31       Impact factor: 2.602

5.  Effects of Heart Rate and Ventricular Wall Thickness on Non-invasive Mapping: An in silico Study.

Authors:  Erick Andres Perez Alday; Dominic G Whittaker; Alan P Benson; Michael A Colman
Journal:  Front Physiol       Date:  2019-04-05       Impact factor: 4.566

6.  A Fully-Coupled Electro-Mechanical Whole-Heart Computational Model: Influence of Cardiac Contraction on the ECG.

Authors:  Robin Moss; Eike Moritz Wülfers; Steffen Schuler; Axel Loewe; Gunnar Seemann
Journal:  Front Physiol       Date:  2021-12-16       Impact factor: 4.566

7.  Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation.

Authors:  Christoph M Augustin; Aurel Neic; Manfred Liebmann; Anton J Prassl; Steven A Niederer; Gundolf Haase; Gernot Plank
Journal:  J Comput Phys       Date:  2016-01-15       Impact factor: 3.553

8.  Effects of early afterdepolarizations on excitation patterns in an accurate model of the human ventricles.

Authors:  Enid Van Nieuwenhuyse; Gunnar Seemann; Alexander V Panfilov; Nele Vandersickel
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

  8 in total

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