通过邻接优化实现超低能量除颤

Alejandro GarzonUniversidad Sergio Arboleda, Roman O. GrigorievGeorgia Institute of Technology
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引用次数: 0

摘要

这项研究利用简单的二维心脏组织模型研究了超低能量除颤方案。我们发现,与采用一连串双相脉冲的低能量抗心动过速起搏(LEAP)相比,与直觉相反的是,单次、适当定时的双相脉冲能更有效地对组织进行除颤。此外,我们还证明,在邻接优化的帮助下,除颤所需的能量有可能进一步降低,使其比 LEAP 所需的能量低三个数量级。最后,我们证实,这种大幅降低是通过利用脆弱窗口中动态的敏感性来促进附近相位奇点对的湮灭而实现的。
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Ultra-low-energy defibrillation through adjoint optimization
This study investigates ultra-low-energy defibrillation protocols using a simple two-dimensional model of cardiac tissue. We find that, rather counter-intuitively, a single, properly timed, biphasic pulse can be more effective in defibrillating the tissue than low energy antitachycardia pacing (LEAP) which employs a sequence of such pulses, succeeding where the latter approach fails. Furthermore, we show that, with the help of adjoint optimization, it is possible to reduce the energy required for defibrillation even further, making it three orders of magnitude lower than that required by LEAP. Finally, we establish that this dramatic reduction is achieved through exploiting the sensitivity of the dynamics in vulnerable windows to promote annihilation of pairs of nearby phase singularities.
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