2011
DOI: 10.1109/rbme.2011.2173761
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Modeling Defibrillation of the Heart: Approaches and Insights

Abstract: 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 … Show more

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Cited by 39 publications
(28 citation statements)
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“…Many other theoretical and numerical efforts have been directed towards improving defibrillation protocols. [10][11][12] The recent paper by Trayanova et al 13 reviews the advances that have been provided by numerical modeling approaches. This paper highlights the importance of the virtual electrode phenomenon (VEP), which describes generation of action potentials in cardiac tissue (generally far from the actual electrodes).…”
Section: Introductionmentioning
confidence: 99%
“…Many other theoretical and numerical efforts have been directed towards improving defibrillation protocols. [10][11][12] The recent paper by Trayanova et al 13 reviews the advances that have been provided by numerical modeling approaches. This paper highlights the importance of the virtual electrode phenomenon (VEP), which describes generation of action potentials in cardiac tissue (generally far from the actual electrodes).…”
Section: Introductionmentioning
confidence: 99%
“…. v1, which makes exactly two values: layer 0 (u-field) and layer 1 (v-field) values at the point of the grid with integer coordinates (10,20).…”
Section: /37mentioning
confidence: 99%
“…Biophysical modeling and simulation strategies have long been used to understand electrical cardioversion and have been reviewed elsewhere (Trayanova et al 2011; Trayanova & Rantner 2014), and in more recent years used to evaluate ablative therapies (Guillem et al 2016; Jacquemet 2016). Here, we offer an overview of how computational modeling has contributed to the research pipeline and new mechanistic insight, as well as novel and improved diagnostics and therapeutics (Fig.…”
Section: Non-pharmacological Rhythm-control Therapiesmentioning
confidence: 99%