Human Atrial Fibrillation: Insights From Computational Electrophysiological Models

Donald M Bers; Eleonora Grandi

doi:10.1016/j.tcm.2012.04.004

Human Atrial Fibrillation: Insights From Computational Electrophysiological Models

Donald M Bers, Eleonora Grandi

Pharmacology

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Computational electrophysiology has proven useful to investigate the mechanisms of cardiac arrhythmias at various spatial scales, from isolated myocytes to the whole heart. This article reviews how mathematical modeling has aided our understanding of human atrial myocyte electrophysiology to study the contribution of structural and electrical remodeling to human atrial fibrillation. Potential new avenues of investigation and model development are suggested.

Original language	English (US)
Pages (from-to)	145-150
Number of pages	6
Journal	Trends in Cardiovascular Medicine
Volume	21
Issue number	5
DOIs	https://doi.org/10.1016/j.tcm.2012.04.004
State	Published - Jul 2011

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

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title = "Human Atrial Fibrillation: Insights From Computational Electrophysiological Models",

abstract = "Computational electrophysiology has proven useful to investigate the mechanisms of cardiac arrhythmias at various spatial scales, from isolated myocytes to the whole heart. This article reviews how mathematical modeling has aided our understanding of human atrial myocyte electrophysiology to study the contribution of structural and electrical remodeling to human atrial fibrillation. Potential new avenues of investigation and model development are suggested.",

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Human Atrial Fibrillation: Insights From Computational Electrophysiological Models

Abstract

ASJC Scopus subject areas

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