DefibViz: a visualization tool for the assessment of electrode parameters on transthoracic defibrillation thresholds.

DefibViz is a software application developed for defibrillation simulation and visualization. It exploits both surface techniques and methods for the interactive exploration of volumetric datasets for the analysis of transthoracic defibrillation simulation results. DefibViz\ has a graphical user interface for the specification of the shape, size, position, and applied voltage of a defibrillator's electrodes. An option is provided for using 3-D slice plane widgets, which operate on the volumetric datasets, such that the distribution of the voltage gradient induced by an electric shock can be visually inspected in various tissues throughout the myocardium and torso. One goal of DefibViz is to enhance understanding of how electrode parameters relate to the change of the voltage gradient distribution throughout the heart, which may help lead to optimal defibrillator design. DefibViz; is significant, in that, it is built by using an open-source graphics and visualization framework providing a platform for subsequent modifiability and extensibility. Moreover, it integrates simulation and visualization techniques, which previously required the running of several independent software executables, into an enhanced, seamless, and comprehensive software application.

Simultaneous double external DC shock techniques for atrial fibrillation: a simulation study.

The success rate of direct current cardioversion (DCC), the most common method to convert atrial fibrillation (AF) to sinus rhythm (SR), depends on various factors including AF duration, prior anti-arrhythmic therapy, electrode position and size, transthoracic impedance, and the use of biphasic versus monophasic shocks. Recent, small clinical studies have reported using quadruple electrodes to deliver higher energy, in order to increase DCC success rates in refractory patients. This study aims to computationally model and compare double shock defibrillation with conventional single shock DCC, based on the two parameters, defibrillation threshold (DFT) and heterogeneity index (HI). DFT is the energy required to achieve a voltage gradient of 5 V/cm over 95% of the atrial myocardium. HI, calculated as the (95(th)-5(th))/50(th) percentile of atrial electric field magnitudes, is a measure of non-uniformity. The electric field distributions in the myocardium were generated for over five thousand different conventional and quadruple electrode placements with electrodes of two different sizes. Results show that there is a significant decrease in DFT (p0.01) and HI (p0.01) with increase in electrode size and quantity.

Finite element computer modeling of transthoracic atrial defibrillation.

Placement of external electrodes can significantly affect the success rate of transthoracic atrial defibrillation, but studies have not led to agreement on optimal electrode placements. This study aims to (1) develop an anatomically realistic, finite element model of the human torso for external atrial defibrillation, (2) investigate model parameters of skeletal muscle conductivity and anisotropy and the presence of subcutaneous fat, and (3) investigate clinical defibrillation parameters of electrode size, shape, and location. The model predicts atrial defibrillation threshold (ADFT) energy by requiring a voltage gradient of 5 V/cm over at least 95% of atrial myocardium. The model compares favorably with a clinical study of 301 patients that reported an anterior-posterior electrode position required approximately 20% less energy than an anterior-anterior position. Results indicate that a change in electrode size has a different effect for different electrode placements. This study finds that variation in electrode placement by only a few centimeters can change ADFTs by up to 51%. This is the first computer model of transthoracic atrial defibrillation to our knowledge. Our computer model is not limited to a few empirically selected electrode placements as in clinical studies and can test any location, size, and number of electrode placements.