Literature DB >> 35754518

A Network-based Cardiac Electrophysiology Simulator with Realistic Signal Generation and Response to Pacing Maneuvers.

Shahriar Iravanian1, Ilija Uzelac2, Abouzar Kaboudian2, Jonathan Langberg1, Flavio Fenton1.   

Abstract

Diagnosis and localization of cardiac arrhythmias, especially supraventricular tachycardia (SVT), by inspecting intracardiac signals and performing pacing maneuvers is the core of electrophysiology studies. Acquiring and maintaining complex skill sets can be facilitated by using simulators, allowing the operator to practice in a safe and controlled setting. An electrophysiology simulator should not only display arrhythmias but it has to respond to the user's arbitrary inputs. While, in principle, it is possible to model the heart using a detailed anatomical and cellular model, such a system would be unduly complex and computationally intensive. In this paper, we describe a freely available web-based electrophysiology simulator (http://svtsim.com), which is composed of a visualization/interface unit and a heart model based on a dynamical network. In the network, nodes represent the points of interest, such as the sinus and the atrioventricular nodes, and links model the conduction system and pathways. The dynamics are encoded explicitly in the state machines attached to the nodes and links. Simulated intracardiac signals and surface ECGs are generated from the internal state of the heart model. Reentrant tachycardias, especially various forms of SVT, can emerge in this system in response to the user's actions in the form of pacing maneuvers. Additionally, the resulting arrhythmias respond realistically to various inputs, such as overdrive pacing and delivery of extra stimuli, cardioversion, ablation, and infusion of medications. For nearly a decade, svtsim.com has been used successfully to train electrophysiology practitioners in many institutions. We will present our experience regarding best practices in designing and using electrophysiology simulators for training and testing. We will also discuss the current trends in clinical cardiac electrophysiology and the anticipated next generation electrophysiology simulators.

Entities:  

Year:  2022        PMID: 35754518      PMCID: PMC9228610          DOI: 10.23919/cinc53138.2021.9662834

Source DB:  PubMed          Journal:  Comput Cardiol (2010)        ISSN: 2325-887X


  11 in total

1.  Differentiation of atypical atrioventricular node re-entrant tachycardia from orthodromic reciprocating tachycardia using a septal accessory pathway by the response to ventricular pacing.

Authors:  G F Michaud; H Tada; S Chough; R Baker; K Wasmer; C Sticherling; H Oral; F Pelosi; B P Knight; S A Strickberger; F Morady
Journal:  J Am Coll Cardiol       Date:  2001-10       Impact factor: 24.094

2.  Diagnostic value of tachycardia features and pacing maneuvers during paroxysmal supraventricular tachycardia.

Authors:  B P Knight; M Ebinger; H Oral; M H Kim; C Sticherling; F Pelosi; G F Michaud; S A Strickberger; F Morady
Journal:  J Am Coll Cardiol       Date:  2000-08       Impact factor: 24.094

3.  A COMPUTER MODEL OF ATRIAL FIBRILLATION.

Authors:  G K MOE; W C RHEINBOLDT; J A ABILDSKOV
Journal:  Am Heart J       Date:  1964-02       Impact factor: 4.749

4.  Computer simulation of cardiac rhythm and artificial pacemakers using a ten-element heart model.

Authors:  M Malik; T Cochrane; A J Camm
Journal:  Comput Biomed Res       Date:  1986-06

5.  Real-time computer simulations of excitable media: JAVA as a scientific language and as a wrapper for C and FORTRAN programs.

Authors:  Flavio H Fenton; Elizabeth M Cherry; Harold M Hastings; Steven J Evans
Journal:  Biosystems       Date:  2002-01       Impact factor: 1.973

6.  Virtual heart guides cardiac ablation.

Authors:  Michael S Sacks
Journal:  Nat Biomed Eng       Date:  2018-10       Impact factor: 25.671

7.  Computer simulation of cardiac pacing.

Authors:  H Ahlfeldt; H Tanaka; M E Nygårds; T Furukawa; O Wigertz
Journal:  Pacing Clin Electrophysiol       Date:  1988-02       Impact factor: 1.976

8.  A technique for the rapid diagnosis of atrial tachycardia in the electrophysiology laboratory.

Authors:  B P Knight; A Zivin; J Souza; M Flemming; F Pelosi; R Goyal; C Man; S A Strickberger; F Morady
Journal:  J Am Coll Cardiol       Date:  1999-03       Impact factor: 24.094

9.  Computer simulation of cardiac arrhythmias.

Authors:  H Ahlfeldt; H Tanaka; M E Nygårds; T Furukawa; O Wigertz
Journal:  Comput Biomed Res       Date:  1987-08

10.  Real-time interactive simulations of large-scale systems on personal computers and cell phones: Toward patient-specific heart modeling and other applications.

Authors:  Abouzar Kaboudian; Elizabeth M Cherry; Flavio H Fenton
Journal:  Sci Adv       Date:  2019-03-27       Impact factor: 14.136

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