Literature DB >> 28436840

A Parametric Computational Model of the Action Potential of Pacemaker Cells.

Weiwei Ai, Nitish D Patel, Partha S Roop, Avinash Malik, Sidharta Andalam, Eugene Yip, Nathan Allen, Mark L Trew.   

Abstract

OBJECTIVE: A flexible, efficient, and verifiable pacemaker cell model is essential to the design of real-time virtual hearts that can be used for closed-loop validation of cardiac devices. A new parametric model of pacemaker action potential is developed to address this need.
METHODS: The action potential phases are modeled using hybrid automaton with one piecewise-linear continuous variable. The model can capture rate-dependent dynamics, such as action potential duration restitution, conduction velocity restitution, and overdrive suppression by incorporating nonlinear update functions. Simulated dynamics of the model compared well with previous models and clinical data.
CONCLUSION: The results show that the parametric model can reproduce the electrophysiological dynamics of a variety of pacemaker cells, such as sinoatrial node, atrioventricular node, and the His-Purkinje system, under varying cardiac conditions. SIGNIFICANCE: This is an important contribution toward closed-loop validation of cardiac devices using real-time heart models.

Entities:  

Mesh:

Year:  2017        PMID: 28436840     DOI: 10.1109/TBME.2017.2695537

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


  5 in total

1.  Resonant model-A new paradigm for modeling an action potential of biological cells.

Authors:  Sucheta Sehgal; Nitish D Patel; Avinash Malik; Partha S Roop; Mark L Trew
Journal:  PLoS One       Date:  2019-05-22       Impact factor: 3.240

2.  Sinus node-like pacemaker mechanisms regulate ectopic pacemaker activity in the adult rat atrioventricular ring.

Authors:  Sunil Jit R J Logantha; Sanjay R Kharche; Yu Zhang; Andrew J Atkinson; Guoliang Hao; Mark R Boyett; Halina Dobrzynski
Journal:  Sci Rep       Date:  2019-08-13       Impact factor: 4.379

3.  Simplifying the Process of Going From Cells to Tissues Using Statistical Mechanics.

Authors:  Jagir R Hussan; Mark L Trew; Peter J Hunter
Journal:  Front Physiol       Date:  2022-03-25       Impact factor: 4.566

4.  Pacemaking function of two simplified cell models.

Authors:  Maxim Ryzhii; Elena Ryzhii
Journal:  PLoS One       Date:  2022-04-11       Impact factor: 3.240

5.  Compositional cyber-physical epidemiology of COVID-19.

Authors:  Jin Woo Ro; Nathan Allen; Weiwei Ai; Debi Prasad; Partha S Roop
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

  5 in total

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