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心脏动力学中的混沌控制:通过局部极小值起搏终止混沌状态。

Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing.

作者信息

Suth Daniel, Luther Stefan, Lilienkamp Thomas

机构信息

Computational Physics for Life Science, Nuremberg Institute of Technology Georg Simon Ohm, Nuremberg, Germany.

Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.

出版信息

Front Netw Physiol. 2024 Jul 3;4:1401661. doi: 10.3389/fnetp.2024.1401661. eCollection 2024.

DOI:10.3389/fnetp.2024.1401661
PMID:39022296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11252590/
Abstract

Current treatments of cardiac arrhythmias like ventricular fibrillation involve the application of a high-energy electric shock, that induces significant electrical currents in the myocardium and therefore involves severe side effects like possible tissue damage and post-traumatic stress. Using numerical simulations on four different models of 2D excitable media, this study demonstrates that low energy pulses applied shortly after local minima in the mean value of the transmembrane potential provide high success rates. We evaluate the performance of this approach for ten initial conditions of each model, ten spatially different stimuli, and different shock amplitudes. The investigated models of 2D excitable media cover a broad range of dominant frequencies and number of phase singularities, which demonstrates, that our findings are not limited to a specific kind of model or parameterization of it. Thus, we propose a method that incorporates the dynamics of the underlying system, even during pacing, and solely relies on a scalar observable, which is easily measurable in numerical simulations.

摘要

目前针对心律失常(如心室颤动)的治疗方法包括施加高能电击,这会在心肌中诱发显著的电流,因此会带来严重的副作用,如可能的组织损伤和创伤后应激。通过对四种不同的二维可兴奋介质模型进行数值模拟,本研究表明,在跨膜电位平均值的局部最小值之后不久施加低能量脉冲可获得很高的成功率。我们针对每个模型的十种初始条件、十种空间上不同的刺激以及不同的电击幅度评估了该方法的性能。所研究的二维可兴奋介质模型涵盖了广泛的主导频率和相奇点数量,这表明我们的发现并不局限于特定类型的模型或其参数化。因此,我们提出了一种方法,该方法即使在起搏期间也能纳入基础系统的动力学,并且仅依赖于一个标量可观测量,而这个可观测量在数值模拟中很容易测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/307ab6fb0889/fnetp-04-1401661-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/64fb6890e19a/fnetp-04-1401661-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/679807cef18d/fnetp-04-1401661-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/307ab6fb0889/fnetp-04-1401661-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/64fb6890e19a/fnetp-04-1401661-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/b8d93cfc5343/fnetp-04-1401661-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6368/11252590/307ab6fb0889/fnetp-04-1401661-g007.jpg

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N Engl J Med. 2022 Nov 24;387(21):1947-1956. doi: 10.1056/NEJMoa2207304. Epub 2022 Nov 6.
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