Key result
Biophysically based computational modeling of cardiac defibrillation advances the understanding of electrophysiological interactions and has the potential to improve clinical defibrillation practice.
This review highlights how computational modeling of ventricular defibrillation advances our understanding of cardiac electrophysiology and has the potential to improve clinical ICD therapy by lowering defibrillation voltage.
May inform ICD optimization via modeling; leaves open prospective clinical validation.
Cardiac defibrillation, as accomplished nowadays by automatic, implantable devices (ICDs), constitutes the most important means of combating sudden cardiac death. While ICD therapy has proved to be efficient and reliable, defibrillation is a traumatic experience. Thus, research on defibrillation mechanisms, particularly aimed at lowering defibrillation voltage, remains an important topic. Advancing our understanding towards a full appreciation of the mechanisms by which a shock interacts with the heart is the most promising approach to achieve this goal. The aim of this paper is to assess the current state-of-the-art in ventricular defibrillation modeling, focusing on both numerical modeling approaches and major insights that have been obtained using defibrillation models, primarily those of realistic ventricular geometry. The paper showcases the contributions that modeling and simulation have made to our understanding of the defibrillation process. The review thus provides an example of biophysically based computational modeling of the heart (i.e., cardiac defibrillation) that has advanced the understanding of cardiac electrophysiological interaction at the organ level and has the potential to contribute to the betterment of the clinical practice of defibrillation.
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Trayanova et al. (2011) conducted a review in Sudden cardiac death. Ventricular defibrillation modeling was evaluated. Biophysically based computational modeling of cardiac defibrillation advances the understanding of electrophysiological interactions and has the potential to improve clinical defibrillation practice.
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