title: Quantifying ventricular fibrillation: in silico research and clinical implications.
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).
authors.affiliation: Department of Mathematics, University of Dundee, Dundee DD1 4HN, UK. panfilov@maths.dundee.ac.uk
authors.forename: Alexander V
authors.initials: AV
authors.lastname: Panfilov
authors.forename: Peter L M
authors.initials: PL
authors.lastname: Kerkhof
authors.forename: Alberto V
authors.initials: AV
authors.lastname: Panfilov
mesh_terms: D006329:Heart Conduction System / Q000503:physiopathology*; D006352:Heart Ventricles / Q000503:physiopathology*; D006801:Humans; D008955:Models, Cardiovascular; D012106:Research / Q000639:trends; D012107:Research Design; D014693:Ventricular Fibrillation / Q000175:diagnosis / Q000503:physiopathology* / Q000628:therapy