Literature DB >> 8953553

Simulation of cardiac activity and the ECG using a heart model with a reaction-diffusion action potential.

O Berenfeld1, S Abboud.   

Abstract

A computerized model of the heart for the simulation of the electrical cardiac activity is described. The cardiac cells are arranged in a three-dimensional cubic lattice and their action potential is governed by modified FitzHugh-Nagumo reaction-diffusion state equations system which exhibits properties such as oscillations, variable excitability and refractoriness. The modifications of the FitzHugh-Nagumo equations system account for asymmetric action potential regarding the fast depolarization and slow repolarization rate and for rotational anisotropic propagation. An isolated cell is tested for reproduction of the strength-duration curves and restitution. The structure basic unit cell is assigned with an individual set of control parameters that creates inhomogeneity and anisotropy to simulate the various cardiac components such as pacers, muscle cells and conduction fibers. The spatial resolution of the structure is 1 mm. The collective activity of the cells generates a realistic ECG waveform that scales the simulated temporal step unit to 0.2 msec. The effective diffusion coefficient ranges between 0.055 mm2/msec to 1 mm2/msec. The propagation velocity of the myocardial activation is calculated at normal direction to the wavefront surface and values obtained are 1.17 mm/msec at the muscle cells and 2.5 mm/msec at the main conduction fibers. An ischemia is induced to verify the capability of the model to account for abnormalities. The developed model can give an insight into the local and global complex dynamics of the heart's electrical activity in the transition from normal to abnormal myocardial activity and may help to estimate the effects of myocardial properties on the ECG rhythm.

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Year:  1996        PMID: 8953553     DOI: 10.1016/s1350-4533(96)00028-8

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  4 in total

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Authors:  R Bordas; K Gillow; Q Lou; I R Efimov; D Gavaghan; P Kohl; V Grau; B Rodriguez
Journal:  Prog Biophys Mol Biol       Date:  2011-06-13       Impact factor: 3.667

2.  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

3.  3D Finite Element Electrical Model of Larval Zebrafish ECG Signals.

Authors:  James Crowcombe; Sundeep Singh Dhillon; Rhiannon Mary Hurst; Stuart Egginton; Ferenc Müller; Attila Sík; Edward Tarte
Journal:  PLoS One       Date:  2016-11-08       Impact factor: 3.240

4.  Generation of ECG signals from a reaction-diffusion model spatially discretized.

Authors:  M A Quiroz-Juárez; O Jiménez-Ramírez; R Vázquez-Medina; V Breña-Medina; J L Aragón; R A Barrio
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

  4 in total

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