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Detalle de: Control of electrical turbulence by periodic excitation of cardiac tissue

Title Control of electrical turbulence by periodic excitation of cardiac tissue
Abstract

Electrical turbulence in cardiac tissue is associated with arrhythmias such as life-threatening ventricular fibrillation. Recent experimental studies have shown that a sequence of low-energy electrical far-field pulses is able to terminate fibrillation more gently than a single high-energy pulse which causes severe side effects. During this low-energy antifibrillation pacing (LEAP), only tissue near sufficiently large conduction heterogeneities, such as large coronary arteries, is activated. In order to optimize LEAP, we performed extensive simulations of cardiac tissue perforated by blood vessels, employing two alternative cellular models that exhibit electrical turbulence at a similar length scale. Moreover, the scale of blood vessels in our two-dimensional simulations was chosen such that the threshold for single pulse defibrillation matches experimental values. For each of the 100 initial conditions, we tested different electrical field strengths, pulse shapes, numbers of pulses, and periods between the pulses. LEAP is successful for both models, albeit with substantial differences. One model exhibits a spectrum of chaotic activity featuring a narrow peak around a dominant frequency. In this case, the optimal period between low-energy pulses matches this frequency and LEAP greatly reduces the required energy for successful defibrillation. For pulses with larger energies, the system is perturbed such that underdrive pacing becomes advantageous. The spectrum of the second model features a broader peak, resulting in a less pronounced optimal pacing period and a decreased energy reduction. In both cases, pacing with five or six pulses which are separated by the dominant period maximizes the energy reduction.

Apa Reference Buran, P., Bär, M., Alonso, S., & Niedermayer, T. (2017). Control of electrical turbulence by periodic excitation of cardiac tissue. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(11). 10.1063/1.5010787
Doi 10.1063/1.5010787
Publication Date 1 Nov 2017
Publication Type Article
Researcher Sergio Alonso Muñoz
Ontology Computational models and simulations
Research Groups Computational Biology and Complex Systems (BIOCOMSC)
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