A Parametric Computational Model of the Action Potential of Pacemaker Cells

Autor: Sidharta Andalam, Mark L. Trew, Partha S. Roop, Avinash Malik, Nitish Patel, Weiwei Ai, Nathan Allen, Eugene Yip
Rok vydání: 2018
Předmět:
Zdroj: IEEE Transactions on Biomedical Engineering. 65:123-130
ISSN: 1558-2531
0018-9294
DOI: 10.1109/tbme.2017.2695537
Popis: 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.
Databáze: OpenAIRE