Department of Biomedical Engineering and Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD 20218, USA.
IEEE Rev Biomed Eng. 2011;4:89-102. doi: 10.1109/RBME.2011.2173761.
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.
心脏除颤,目前通过自动植入式设备(ICD)来实现,是对抗心源性猝死的最重要手段。尽管 ICD 疗法已被证明是有效且可靠的,但除颤仍是一种创伤性体验。因此,研究除颤机制,特别是旨在降低除颤电压的机制,仍然是一个重要的课题。推进我们对电击与心脏相互作用机制的全面理解,是实现这一目标最有希望的途径。本文旨在评估心室除颤建模的最新现状,重点介绍了数值建模方法以及使用除颤模型(主要是真实心室几何模型)获得的主要见解。本文展示了建模和模拟对我们理解除颤过程的贡献。因此,该综述提供了一个基于生物物理的心脏除颤计算模型的范例,该范例推进了对器官水平中心律失常电生理相互作用的理解,并有可能有助于改善除颤的临床实践。