Literature DB >> 26835103

Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy.

Marieke Pluijmert1, Joost Lumens1, Mark Potse2, Tammo Delhaas1, Angelo Auricchio3, Frits W Prinzen4.   

Abstract

Mathematical or computer models have become increasingly popular in biomedical science. Although they are a simplification of reality, computer models are able to link a multitude of processes to each other. In the fields of cardiac physiology and cardiology, models can be used to describe the combined activity of all ion channels (electrical models) or contraction-related processes (mechanical models) in potentially millions of cardiac cells. Electromechanical models go one step further by coupling electrical and mechanical processes and incorporating mechano-electrical feedback. The field of cardiac computer modelling is making rapid progress due to advances in research and the ever-increasing calculation power of computers. Computer models have helped to provide better understanding of disease mechanisms and treatment. The ultimate goal will be to create patient-specific models using diagnostic measurements from the individual patient. This paper gives a brief overview of computer models in the field of cardiology and mentions some scientific achievements and clinical applications, especially in relation to cardiac resynchronisation therapy (CRT).

Entities:  

Keywords:  Computer model; bidomain model; cardiac resynchronisation therapy; finite element model; heart failure; monodomain model

Year:  2015        PMID: 26835103      PMCID: PMC4711552          DOI: 10.15420/aer.2015.4.1.62

Source DB:  PubMed          Journal:  Arrhythm Electrophysiol Rev        ISSN: 2050-3369


  53 in total

1.  The time sequence of electrical and mechanical activation during spontaneous beating and ectopic stimulation.

Authors:  F W Prinzen; C H Augustijn; M A Allessie; T Arts; T Delhaas; R S Reneman
Journal:  Eur Heart J       Date:  1992-04       Impact factor: 29.983

2.  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

3.  Approximate model of cooperative activation and crossbridge cycling in cardiac muscle using ordinary differential equations.

Authors:  John Jeremy Rice; Fei Wang; Donald M Bers; Pieter P de Tombe
Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

4.  Validation of a simple model for the morphology of the T wave in unipolar electrograms.

Authors:  Mark Potse; Alain Vinet; Tobias Opthof; Ruben Coronel
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-05-22       Impact factor: 4.733

5.  A meta-analysis of cardiac electrophysiology computational models.

Authors:  S A Niederer; M Fink; D Noble; N P Smith
Journal:  Exp Physiol       Date:  2009-01-12       Impact factor: 2.969

Review 6.  Mathematical modeling of the excitation process in myocardial tissue: influence of fiber rotation on wavefront propagation and potential field.

Authors:  P C Franzone; L Guerri; S Tentoni
Journal:  Math Biosci       Date:  1990-10       Impact factor: 2.144

Review 7.  Whole-heart modeling: applications to cardiac electrophysiology and electromechanics.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2011-01-07       Impact factor: 17.367

8.  Mechano-electrical coupling as framework for understanding functional remodeling during LBBB and CRT.

Authors:  Nico H L Kuijpers; Evelien Hermeling; Joost Lumens; Huub M M ten Eikelder; Tammo Delhaas; Frits W Prinzen
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-04-18       Impact factor: 4.733

9.  Relationship between two-dimensional speckle-tracking septal strain and response to cardiac resynchronization therapy in patients with left ventricular dysfunction and left bundle branch block: a prospective pilot study.

Authors:  Sylvestre Maréchaux; Aurélie Guiot; Anne Laure Castel; Yves Guyomar; Marc Semichon; François Delelis; Sebastien Heuls; Pierre-Vladimir Ennezat; Pierre Graux; Christophe Tribouilloy
Journal:  J Am Soc Echocardiogr       Date:  2014-02-08       Impact factor: 5.251

10.  Patient-specific modelling of cardiac electrophysiology in heart-failure patients.

Authors:  Mark Potse; Dorian Krause; Wilco Kroon; Romina Murzilli; Stefano Muzzarelli; François Regoli; Enrico Caiani; Frits W Prinzen; Rolf Krause; Angelo Auricchio
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

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Review 1.  Current developments in cardiac rhythm management devices.

Authors:  Philipp Halbfass; Kai Sonne; Karin Nentwich; Elena Ene; Thomas Deneke
Journal:  Clin Res Cardiol       Date:  2018-06-27       Impact factor: 5.460

2.  Adaptive and Wireless Recordings of Electrophysiological Signals During Concurrent Magnetic Resonance Imaging.

Authors:  Ranajay Mandal; Nishant Babaria
Journal:  IEEE Trans Biomed Eng       Date:  2018-10-23       Impact factor: 4.538

Review 3.  Myocardial Fluid Balance and Pathophysiology of Myocardial Edema in Coronary Artery Bypass Grafting.

Authors:  Rita Zahara; Anwar Santoso; Adhiala Z Barano
Journal:  Cardiol Res Pract       Date:  2020-05-20       Impact factor: 1.866

4.  Utilizing multimodal imaging to visualize potential mechanism for sudden death in epilepsy.

Authors:  Ranajay Mandal; Ryan Budde; Georgia L Lawlor; Pedro Irazoqui
Journal:  Epilepsy Behav       Date:  2021-07-05       Impact factor: 3.337

  4 in total

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