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

22 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

Access to Document

10.1016/j.tcm.2012.04.004

Fingerprint Dive into the research topics of 'Human Atrial Fibrillation: Insights From Computational Electrophysiological Models'. Together they form a unique fingerprint.

Cite this

@article{c780d55e8ec44d81b9c4d0fc0a3092a2,

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.",

author = "Bers, {Donald M} and Eleonora Grandi",

year = "2011",

month = jul,

doi = "10.1016/j.tcm.2012.04.004",

language = "English (US)",

volume = "21",

pages = "145--150",

journal = "Trends in Cardiovascular Medicine",

issn = "1050-1738",

publisher = "Elsevier Inc.",

number = "5",

}

TY - JOUR

T1 - Human Atrial Fibrillation

T2 - Insights From Computational Electrophysiological Models

AU - Bers, Donald M

AU - Grandi, Eleonora

PY - 2011/7

Y1 - 2011/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84862736456&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862736456&partnerID=8YFLogxK

U2 - 10.1016/j.tcm.2012.04.004

DO - 10.1016/j.tcm.2012.04.004

M3 - Article

C2 - 22732550

AN - SCOPUS:84862736456

VL - 21

SP - 145

EP - 150

JO - Trends in Cardiovascular Medicine

JF - Trends in Cardiovascular Medicine

SN - 1050-1738

IS - 5

ER -