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A REDUCED ORDER MODEL FOR SPATIOTEMPORAL DYNAMICS AND CONTROL OF CARDIAC ALTERNANS

机译:时空动力学的降阶模型及其对拟南芥的控制

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摘要

Sudden cardiac arrest, caused primarily by ventricular fibrillation, is one of the leading causes of mortality in the Western world. There is a compelling need for risk stratification to identify patients at risk for sudden cardiac arrest. Cardiac alternans, a recognized harbinger of sudden cardiac arrest, manifests as a beat-to-beat alternation in action potential duration (cellular level) or in electrocardiogram morphology (whole heart level). Although much progress has been made to understand the mechanisms of alternans, predicting and control of alternans, especially at the heart level, remain great challenges. Current approaches to predict cardiac alternans based on restitution properties of the heart are either too simple to be valid or too complex to be useful. In this work, we developed a reduced order model from the amplitude equation to investigate dynamics and control of alternans in cardiac fiber, i.e. beyond single cell level. Detailed bifurcation and stability analyses were carried out to illustrate complex spatiotemporal patterns of alternans and the limitations in feedback control due to spatial effect.
机译:主要由心室纤颤引起的突然心脏骤停是西方世界死亡的主要原因之一。迫切需要进行风险分层,以识别有心脏骤停风险的患者。心脏交替神经是心脏骤停的公认预兆,表现为动作电位持续时间(细胞水平)或心电图形态(整个心脏水平)的逐跳交替。尽管在了解交替素的机制方面已经取得了很大进展,但是预测和控制交替素,特别是在心脏水平,仍然是巨大的挑战。基于心脏的恢复特性来预测心脏交替性的当前方法要么太简单以至于无效,要么太复杂以至于无法使用。在这项工作中,我们从振幅方程式开发了降阶模型,以研究心脏纤维中交替分子的动力学和控制,即超出单细胞水平。进行了详细的分叉和稳定性分析,以说明交替蛋白的复杂时空模式以及由于空间效应而导致的反馈控制方面的局限性。

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