起搏心房模型中的记忆效应、瞬态增长与波碎裂
Memory effects, transient growth, and wave breakup in a model of paced atrium
AI总结：
本研究探讨了起搏频率增加导致心房颤动的转变机制，发现在二维心房组织模型中，心律失稳与有限振幅扰动的瞬态增长相关，类似于流体层流到湍流的亚临界转换。
摘要：
一个多世纪以来，人们一直在研究心脏颤动的潜在机制，但我们仍在不断发现令人惊讶的结果，这些结果改变了我们对这一现象的看法。本研究关注与起搏频率逐渐增加相关的从正常心律到心房颤动的转变。虽然我们的部分发现与该问题现有的实验、数值和理论研究结果一致，但有一项结果似乎与公认的观点相矛盾。具体而言，我们表明，在起搏的均匀心房组织的二维模型中，从不协调交替到传导阻滞、波碎裂、折返和螺旋波混沌的转变，与有限振幅扰动的瞬态增长有关，而非传统的失稳。在数学上，这非常类似于层流到湍流的亚临界或旁路转换，这使得在流体湍流背景下开发的许多工具能够被用于增进我们对心律失常的理解。
英文摘要：
The mechanisms underlying cardiac fibrillation have been investigated for over a century, but we are still finding surprising results that change our view of this phenomenon. The present study focuses on the transition from normal rhythm to atrial fibrillation associated with a gradual increase in the pacing rate. While some of our findings are consistent with existing experimental, numerical, and theoretical studies of this problem, one result appears to contradict the accepted picture. Specifically we show that, in a two-dimensional model of paced homogeneous atrial tissue, transition from discordant alternans to conduction block, wave breakup, reentry, and spiral wave chaos is associated with transient growth of finite amplitude disturbances rather than a conventional instability. It is mathematically very similar to subcritical, or bypass, transition from laminar fluid flow to turbulence, which allows many of the tools developed in the context of fluid turbulence to be used for improving our understanding of cardiac arrhythmias.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
