Stochastic Models of the Slow/Fast Type of Atrioventricular Nodal Reentrant Tachycardia and Tachycardia with Conduction Aberration

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
B. Jackowska-Zduniak
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引用次数: 0

Abstract

Abstract Models are proposed to describe the heart’s action potential. A system of stochastic differential equations is used to recreate pathological behaviour in the heart such as atrioventricular nodal reentrant tachycardia (AVNRT) and also AVNRT with conduction aberration. Part of the population has abnormal accessory pathways: fast and slow. An additional pathway is not always induced, since the deterministic model is not proper due to a stochasticity in this process. Introduction of a stochastic term allows modelling a pre-excitation perturbation (such as unexpected excitation by premature contractions in atrium (PAC)) which triggers the mechanism of AVNRT. Also, a system of AVNRT with additional conduction aberration, which is a rare type of arrhythmia, is considered. The aim of this work is to propose a mathematical model superior to the deterministic one that recreates this disease better and allows understanding its mechanism and physical dependencies, which may help to propose a new therapy of AVNRT. Results are illustrated with numerical solutions.
慢/快型房室结折返性心动过速和伴传导畸变的心动过速的随机模型
摘要提出了描述心脏动作电位的模型。随机微分方程系统用于重建心脏的病理行为,如房室结性重入性心动过速(AVNRT)和伴有传导畸变的AVNRT。部分人群有异常的副通路:快的和慢的。由于这一过程的随机性,确定性模型是不合适的,因此并不总是诱导一个额外的途径。引入随机术语可以模拟触发AVNRT机制的预兴奋扰动(例如由心房过早收缩(PAC)引起的意外兴奋)。此外,考虑到AVNRT系统伴有额外的传导畸变,这是一种罕见的心律失常。这项工作的目的是提出一种优于确定性模型的数学模型,更好地再现这种疾病,并允许理解其机制和物理依赖性,这可能有助于提出一种新的治疗AVNRT的方法。结果用数值解说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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