Literature DB >> 22273793

Modeling defibrillation of the heart: approaches and insights.

Natalia Trayanova1, Jason Constantino, Takashi Ashihara, Gernot Plank.   

Abstract

Cardiac defibrillation, as accomplished nowadays by automatic, implantable devices (ICDs), constitutes the most important means of combating sudden cardiac death. While ICD therapy has proved to be efficient and reliable, defibrillation is a traumatic experience. Thus, research on defibrillation mechanisms, particularly aimed at lowering defibrillation voltage, remains an important topic. Advancing our understanding towards a full appreciation of the mechanisms by which a shock interacts with the heart is the most promising approach to achieve this goal. The aim of this paper is to assess the current state-of-the-art in ventricular defibrillation modeling, focusing on both numerical modeling approaches and major insights that have been obtained using defibrillation models, primarily those of realistic ventricular geometry. The paper showcases the contributions that modeling and simulation have made to our understanding of the defibrillation process. The review thus provides an example of biophysically based computational modeling of the heart (i.e., cardiac defibrillation) that has advanced the understanding of cardiac electrophysiological interaction at the organ level and has the potential to contribute to the betterment of the clinical practice of defibrillation.

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Year:  2011        PMID: 22273793      PMCID: PMC3328410          DOI: 10.1109/RBME.2011.2173761

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  102 in total

1.  Pacemaker and ICD generator reliability: meta-analysis of device registries.

Authors:  William H Maisel
Journal:  JAMA       Date:  2006-04-26       Impact factor: 56.272

2.  A computational model of the human left-ventricular epicardial myocyte.

Authors:  Vivek Iyer; Reza Mazhari; Raimond L Winslow
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

3.  Optical mapping of ventricular defibrillation in isolated swine right ventricles: demonstration of a postshock isoelectric window after near-threshold defibrillation shocks.

Authors:  N C Wang; M H Lee; T Ohara; Y Okuyama; G A Fishbein; S F Lin; H S Karagueuzian; P S Chen
Journal:  Circulation       Date:  2001-07-10       Impact factor: 29.690

4.  Parallel multigrid preconditioner for the cardiac bidomain model.

Authors:  Rodrigo Weber dos Santos; Gernot Plank; Steffen Bauer; Edward J Vigmond
Journal:  IEEE Trans Biomed Eng       Date:  2004-11       Impact factor: 4.538

5.  A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

Authors:  Mark Potse; Bruno Dubé; Jacques Richer; Alain Vinet; Ramesh M Gulrajani
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

6.  Electroporation and shock-induced transmembrane potential in a cardiac fiber during defibrillation strength shocks.

Authors:  K A DeBruin; W Krassowska
Journal:  Ann Biomed Eng       Date:  1998 Jul-Aug       Impact factor: 3.934

7.  Transmembrane voltage changes produced by real and virtual electrodes during monophasic defibrillation shock delivered by an implantable electrode.

Authors:  I R Efimov; Y N Cheng; M Biermann; D R Van Wagoner; T N Mazgalev; P J Tchou
Journal:  J Cardiovasc Electrophysiol       Date:  1997-09

8.  Fiber orientation in the canine left ventricle during diastole and systole.

Authors:  D D Streeter; H M Spotnitz; D P Patel; J Ross; E H Sonnenblick
Journal:  Circ Res       Date:  1969-03       Impact factor: 17.367

9.  Computer simulations of three-dimensional propagation in ventricular myocardium. Effects of intramural fiber rotation and inhomogeneous conductivity on epicardial activation.

Authors:  A E Pollard; M J Burgess; K W Spitzer
Journal:  Circ Res       Date:  1993-04       Impact factor: 17.367

10.  Low-energy control of electrical turbulence in the heart.

Authors:  Stefan Luther; Flavio H Fenton; Bruce G Kornreich; Amgad Squires; Philip Bittihn; Daniel Hornung; Markus Zabel; James Flanders; Andrea Gladuli; Luis Campoy; Elizabeth M Cherry; Gisa Luther; Gerd Hasenfuss; Valentin I Krinsky; Alain Pumir; Robert F Gilmour; Eberhard Bodenschatz
Journal:  Nature       Date:  2011-07-13       Impact factor: 49.962

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  10 in total

1.  Shock-induced termination of reentrant cardiac arrhythmias: comparing monophasic and biphasic shock protocols.

Authors:  Jean Bragard; Ana Simic; Jorge Elorza; Roman O Grigoriev; Elizabeth M Cherry; Robert F Gilmour; Niels F Otani; Flavio H Fenton
Journal:  Chaos       Date:  2013-12       Impact factor: 3.642

Review 2.  New insights into defibrillation of the heart from realistic simulation studies.

Authors:  Natalia A Trayanova; Lukas J Rantner
Journal:  Europace       Date:  2014-05       Impact factor: 5.214

3.  Placement of implantable cardioverter-defibrillators in paediatric and congenital heart defect patients: a pipeline for model generation and simulation prediction of optimal configurations.

Authors:  Lukas J Rantner; Fijoy Vadakkumpadan; Philip J Spevak; Jane E Crosson; Natalia A Trayanova
Journal:  J Physiol       Date:  2013-06-24       Impact factor: 5.182

Review 4.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

Review 5.  Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Authors:  Natalia A Trayanova; Patrick M Boyle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-12-06

Review 6.  Data integration for the numerical simulation of cardiac electrophysiology.

Authors:  Stefano Pagani; Luca Dede'; Andrea Manzoni; Alfio Quarteroni
Journal:  Pacing Clin Electrophysiol       Date:  2021-03-08       Impact factor: 1.976

7.  BeatBox-HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology.

Authors:  Mario Antonioletti; Vadim N Biktashev; Adrian Jackson; Sanjay R Kharche; Tomas Stary; Irina V Biktasheva
Journal:  PLoS One       Date:  2017-05-03       Impact factor: 3.240

8.  Computational cardiology: the heart of the matter.

Authors:  Natalia A Trayanova
Journal:  ISRN Cardiol       Date:  2012-11-14

9.  Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons.

Authors:  Karoline Horgmo Jæger; Aslak Tveito
Journal:  Front Physiol       Date:  2022-01-07       Impact factor: 4.566

10.  Computational Model for Therapy Optimization of Wearable Cardioverter Defibrillator: Shockable Rhythm Detection and Optimal Electrotherapy.

Authors:  Oishee Mazumder; Rohan Banerjee; Dibyendu Roy; Ayan Mukherjee; Avik Ghose; Sundeep Khandelwal; Aniruddha Sinha
Journal:  Front Physiol       Date:  2021-12-10       Impact factor: 4.566

  10 in total

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