Computational cardiac electrophysiology: implementing mathematical models of cardiomyocytes to simulate action potentials of the heart

Michael M Bell; Elizabeth M Cherry

doi:10.1007/978-1-4939-2572-8_5

Computational cardiac electrophysiology: implementing mathematical models of cardiomyocytes to simulate action potentials of the heart

Methods Mol Biol. 2015:1299:65-74. doi: 10.1007/978-1-4939-2572-8_5.

Authors

Michael M Bell¹, Elizabeth M Cherry

Affiliation

¹ School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY, USA.

PMID: 25836575
DOI: 10.1007/978-1-4939-2572-8_5

Abstract

Mathematical models are now an important tool for studying cardiac electrophysiology and arrhythmias. Utilizing these models to quantify behavior and make predictions requires solving the models computationally using numerical schemes. We discuss different solution methods and other computational considerations for simulating cardiac action potentials in single cells and multicellular preparations.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Action Potentials
Algorithms
Electrophysiological Phenomena*
Heart / physiology*
Humans
Models, Cardiovascular*
Models, Theoretical
Myocytes, Cardiac / metabolism