Quantifying ventricular fibrillation: in silico research and clinical implications

Alexander V Panfilov; Peter L M Kerkhof; Alberto V Panfilov

doi:https://doi.org/10.1109/TBME.2003.820608

Quantifying ventricular fibrillation: in silico research and clinical implications

Alexander V Panfilov, Peter L M Kerkhof, Alberto V Panfilov

Research output: Contribution to journal › Review article › Academic › peer-review

8 Citations (Scopus)

Abstract

Cardiovascular disease remains the leading cause of death in otherwise healthy humans. In particular, most cases of sudden cardiac death occur as a result of failure of the mechanical function of the heart which is triggered by a turbulent pattern of electrical excitation of the heart e.g., ventricular fibrillation (VF). Although the exact mechanisms of VF remain unknown, increasing evidence indicates that it is organized by multiple reentrant sources (wavelets).

Original language	English
Pages (from-to)	195-6
Number of pages	2
Journal	IEEE Transactions on Biomedical Engineering
Volume	51
Issue number	1
DOIs	https://doi.org/10.1109/TBME.2003.820608
Publication status	Published - Jan 2004

Keywords

Heart Conduction System/physiopathology
Heart Ventricles/physiopathology
Humans
Models, Cardiovascular
Research Design
Research/trends
Ventricular Fibrillation/diagnosis

Access to Document

https://doi.org/10.1109/TBME.2003.820608

Cite this

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KW - Heart Conduction System/physiopathology

KW - Heart Ventricles/physiopathology

KW - Humans

KW - Models, Cardiovascular

KW - Research Design

KW - Research/trends

KW - Ventricular Fibrillation/diagnosis

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