Literature DB >> 24759278

A brief history of tissue models for cardiac electrophysiology.

Craig S Henriquez.   

Abstract

The last four decades have produced a number of significant advances in the developments of computer models to simulate and investigate the electrical activity of cardiac tissue. The tissue descriptions that underlie these simulations have been built from a combination of clever insight and careful comparison with measured data at multiple scales. Tissue models have not only led to greater insights into the mechanisms of life-threatening arrhythmias but have been used to engineer new therapies to treat the consequences of cardiac disease. This paper is a look back at the early years in the cardiac modeling and the challenges facing the field as models move toward the clinic.

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Year:  2014        PMID: 24759278     DOI: 10.1109/TBME.2014.2310515

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  19 in total

1.  Mechano-electric feedback in one-dimensional model of myocardium.

Authors:  Nathalie A Vikulova; Leonid B Katsnelson; Alexander G Kursanov; Olga Solovyova; Vladimir S Markhasin
Journal:  J Math Biol       Date:  2015-12-19       Impact factor: 2.259

2.  Modeling dynamics in diseased cardiac tissue: Impact of model choice.

Authors:  Tanmay A Gokhale; Eli Medvescek; Craig S Henriquez
Journal:  Chaos       Date:  2017-09       Impact factor: 3.642

Review 3.  Potassium currents in the heart: functional roles in repolarization, arrhythmia and therapeutics.

Authors:  Nipavan Chiamvimonvat; Ye Chen-Izu; Colleen E Clancy; Isabelle Deschenes; Dobromir Dobrev; Jordi Heijman; Leighton Izu; Zhilin Qu; Crystal M Ripplinger; Jamie I Vandenberg; James N Weiss; Gideon Koren; Tamas Banyasz; Eleonora Grandi; Michael C Sanguinetti; Donald M Bers; Jeanne M Nerbonne
Journal:  J Physiol       Date:  2017-01-05       Impact factor: 5.182

4.  Initiation and entrainment of multicellular automaticity via diffusion limited extracellular domains.

Authors:  Steven Poelzing; Seth H Weinberg; James P Keener
Journal:  Biophys J       Date:  2021-10-30       Impact factor: 4.033

5.  Computational prediction of the effect of D172N KCNJ2 mutation on ventricular pumping during sinus rhythm and reentry.

Authors:  Aulia Khamas Heikhmakhtiar; Chung Hao Lee; Kwang Soup Song; Ki Moo Lim
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

6.  Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.

Authors:  Yanhang Zhang; Victor H Barocas; Scott A Berceli; Colleen E Clancy; David M Eckmann; Marc Garbey; Ghassan S Kassab; Donna R Lochner; Andrew D McCulloch; Roger Tran-Son-Tay; Natalia A Trayanova
Journal:  Ann Biomed Eng       Date:  2016-05-02       Impact factor: 3.934

Review 7.  Approaches for determining cardiac bidomain conductivity values: progress and challenges.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2020-10-22       Impact factor: 2.602

Review 8.  Strategies to Refine Gastric Stimulation and Pacing Protocols: Experimental and Modeling Approaches.

Authors:  Leo K Cheng; Nipuni D Nagahawatte; Recep Avci; Peng Du; Zhongming Liu; Niranchan Paskaranandavadivel
Journal:  Front Neurosci       Date:  2021-04-22       Impact factor: 5.152

Review 9.  The virtual heart as a platform for screening drug cardiotoxicity.

Authors:  Yongfeng Yuan; Xiangyun Bai; Cunjin Luo; Kuanquan Wang; Henggui Zhang
Journal:  Br J Pharmacol       Date:  2015-01-13       Impact factor: 8.739

10.  Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI Approach.

Authors:  Sofia Monaci; Karli Gillette; Esther Puyol-Antón; Ronak Rajani; Gernot Plank; Andrew King; Martin Bishop
Journal:  Front Physiol       Date:  2021-07-01       Impact factor: 4.566

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