title: Modeling atrial arrhythmias: impact on clinical diagnosis and therapies.
abstract: Atrial arrhythmias are the most frequent sustained rhythm disorders in humans and often lead to severe complications such as heart failure and stroke. Despite the important insights provided by animal models into the mechanisms of atrial arrhythmias, direct translation of experimental findings to new therapies in patients has not been straightforward. With the advances in computer technology, large-scale electroanatomical computer models of the atria that integrate information from the molecular to organ scale have reached a level of sophistication that they can be used to interpret the outcome of experimental and clinical studies and aid in the rational design of therapies. This paper reviews the state-of-the-art of computer models of the electrical dynamics of the atria and discusses the evolving role of simulation in assisting the clinical diagnosis and treatment of atrial arrhythmias.
authors.affiliation: Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA. vincent.jacquemet@a3.epfl.ch
authors.forename: Vincent
authors.initials: V
authors.lastname: Jacquemet
authors.forename: Lukas
authors.initials: L
authors.lastname: Kappenberger
authors.forename: Craig S
authors.initials: CS
authors.lastname: Henriquez
mesh_terms: D000818:Animals; D001145:Arrhythmias, Cardiac / Q000175:diagnosis / Q000503:physiopathology / Q000628:therapy; D003198:Computer Simulation; D006801:Humans; D008955:Models, Cardiovascular; D013813:Therapy, Computer-Assisted / Q000379:methods* / Q000639:trends