Literature DB >> 12398418

Region specific modeling of cardiac muscle: comparison of simulated and experimental potentials.

Adam L Muzikant1, Edward W Hsu, Patrick D Wolf, Craig S Henriquez.   

Abstract

This article investigates the quantitative predictive capabilities of region-specific models by comparing experimental electrograms obtained from in vivo mapping of the ventricular free wall with those obtained through simulation of a region specific three-dimensional bidomain model that incorporates measured fiber orientations. Epicardial electrograms were recorded from canine left ventricles during and after unipolar pacing using a 528-channel electrode plaque. Fiber directions throughout the tissue were estimated from diffusion-weighted MRI and from pace mapping. Electrograms were computed in the bidomain model with experimentally derived properties during paced activations at the same spatiotemporal resolution as those recorded experimentally. Epicardial potentials from model and experiment were directly compared, and sensitivities of these comparisons to reference electrode location and to the choice of material properties were analyzed. The comparisons performed here demonstrate, that (1) the stimulus artifact can be used to estimate the in vivo myocardial fiber architecture, (2) the correlation between simulated and experimental electrograms decreases with increasing pacing depth, and (3) the quantitative comparisons between bidomain model and experimental data are sensitive to both the description of the fiber architecture, and the location of the unipolar reference electrode, but relatively insensitive to moderate changes in the bidomain conductivities.

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Year:  2002        PMID: 12398418     DOI: 10.1114/1.1509453

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  6 in total

1.  A phased-array stimulator system for studying planar and curved cardiac activation wavefronts.

Authors:  Rashida A Abbas; Shien-Fong Lin; David Mashburn; Junkai Xu; John P Wikswo
Journal:  IEEE Trans Biomed Eng       Date:  2008-01       Impact factor: 4.538

2.  A pilot study examining the performance of polynomial-modeled ventricular shock electrograms for rhythm discrimination in implantable devices.

Authors:  Jeffrey L Williams; Vladimir Shusterman; Samir Saba
Journal:  Pacing Clin Electrophysiol       Date:  2006-09       Impact factor: 1.976

3.  A segmental polynomial model of ventricular electrograms as a simple and efficient morphology discriminator for implantable devices.

Authors:  Jeffrey L Williams; Vladimir Shusterman; Samir Saba
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

4.  Origin of the electrocardiographic U wave: effects of M cells and dynamic gap junction coupling.

Authors:  Bruce Hopenfeld; Hiroshi Ashikaga
Journal:  Ann Biomed Eng       Date:  2010-02-03       Impact factor: 3.934

Review 5.  Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.

Authors:  Pras Pathmanathan; Richard A Gray
Journal:  Front Physiol       Date:  2018-02-15       Impact factor: 4.566

Review 6.  Understanding AF Mechanisms Through Computational Modelling and Simulations.

Authors:  Konstantinos N Aronis; Rheeda L Ali; Jialiu A Liang; Shijie Zhou; Natalia A Trayanova
Journal:  Arrhythm Electrophysiol Rev       Date:  2019-07
  6 in total

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