DocumentCode :
975221
Title :
Modeling Atrial Arrhythmias: Impact on Clinical Diagnosis and Therapies
Author :
Jacquemet, Vincent ; Kappenberger, Lukas ; Henriquez, Craig S.
Author_Institution :
Dept. of Biomed. Eng., Duke Univ., Durham, NC
Volume :
1
fYear :
2008
fDate :
6/30/1905 12:00:00 AM
Firstpage :
94
Lastpage :
114
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.
Keywords :
bioelectric phenomena; blood vessels; cardiology; diseases; patient diagnosis; patient treatment; atrial arrhythmias; clinical diagnosis; electrical dynamics; electroanatomical computer models; heart failure; patient therapy; rhythm disorders; stroke; Animal structures; Clinical diagnosis; Computational modeling; Computer simulation; Concurrent computing; Heart rate; Humans; Large scale integration; Medical treatment; Rhythm; Atrial arrhythmia; cardiac electrophysiology; computer modeling; fibrillation; Animals; Arrhythmias, Cardiac; Computer Simulation; Humans; Models, Cardiovascular; Therapy, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Reviews in
Publisher :
ieee
ISSN :
1937-3333
Type :
jour
DOI :
10.1109/RBME.2008.2008242
Filename :
4664314
Link To Document :
بازگشت