Synchronization as a mechanism for low-energy anti-fibrillation pacing.

BACKGROUND: Low-energy anti-fibrillation pacing (LEAP) has been suggested as an alternative treatment in symptomatic fibrillation patients. It significantly lowers the energy required compared with standard 1-shock defibrillation. OBJECTIVE: In this study, we investigated the mechanism of arrhythmia termination by LEAP and systematically analyzed the influence of shock period and timing on the success rate of LEAP. METHODS: We induced atrial and ventricular fibrillation in isolated canine hearts and applied LEAP and standard 1-shock defibrillation to terminate the arrhythmia. We simulated the arrhythmia and LEAP using a 2-dimensional bidomain human atrial model. RESULTS: The ex vivo experiments showed successful termination of atrial fibrillation and ventricular fibrillation using LEAP, with an average 88% and 81% energy reduction, respectively, and both experiments and simulations verified that synchronization from virtual electrodes is the key mechanism for termination of arrhythmia by LEAP using modified Kuramoto phase plots and fraction of tissue excited (FTE) plots. We also observed in simulations that LEAP is more effective when the shock period is close to the dominant period and the first shock is delivered when FTE is decreasing. CONCLUSIONS: Our results support synchronization as the mechanism for arrhythmia termination by LEAP, and its effectiveness can be improved by adjusting shock period and timing.

Implementation of Contraction to Electrophysiological Ventricular Myocyte Models, and Their Quantitative Characterization via Post-Extrasystolic Potentiation.

Heart failure (HF) affects over 5 million Americans and is characterized by impairment of cellular cardiac contractile function resulting in reduced ejection fraction in patients. Electrical stimulation such as cardiac resynchronization therapy (CRT) and cardiac contractility modulation (CCM) have shown some success in treating patients with HF. Computer simulations have the potential to help improve such therapy (e.g. suggest optimal lead placement) as well as provide insight into the underlying mechanisms which could be beneficial. However, these myocyte models require a quantitatively accurate excitation-contraction coupling such that the electrical and contraction predictions are correct. While currently there are close to a hundred models describing the detailed electrophysiology of cardiac cells, the majority of cell models do not include the equations to reproduce contractile force or they have been added ad hoc. Here we present a systematic methodology to couple first generation contraction models into electrophysiological models via intracellular calcium and then compare the resulting model predictions to experimental data. This is done by using a post-extrasystolic pacing protocol, which captures essential dynamics of contractile forces. We found that modeling the dynamic intracellular calcium buffers is necessary in order to reproduce the experimental data. Furthermore, we demonstrate that in models the mechanism of the post-extrasystolic potentiation is highly dependent on the calcium released from the Sarcoplasmic Reticulum. Overall this study provides new insights into both specific and general determinants of cellular contractile force and provides a framework for incorporating contraction into electrophysiological models, both of which will be necessary to develop reliable simulations to optimize electrical therapies for HF.