KurSL: Model of Anharmonic Coupled Oscillations Based on Kuramoto Coupling and Sturm-Liouville Problem

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Advances in Data Science and Adaptive Analysis Pub Date : 2018-05-09 DOI:10.1142/S2424922X18400028
D. Laszuk, J. O. Cadenas, S. Nasuto
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Abstract

Physiological signalling is often oscillatory and shows nonlinearity due to complex interactions of underlying processes or signal propagation delays. This is particularly evident in case of brain activity which is subject to various feedback loop interactions between di erent brain structures, that coordinate their activity to support normal function. In order to understand such signalling in health and disease, methods are needed that can deal with such complex oscillatory phenomena. In this paper, a data-driven method for analysing anharmonic oscillations is introduced. The KurSL model incorporates two well-studied components, which in the past have been used separately to analyse oscillatory behaviour. The Sturm-Liouville equations describe a form of a general oscillation, and the Kuramoto coupling model represents a set of oscillators interacting in the phase domain. Integration of these components provides a flexible framework for capturing complex interactions of oscillatory processes of more general form than the most commonly used harmonic oscillators. The paper introduces a mathematical framework of the KurSL model and analyses its behaviour for a variety of parameter ranges. The signi cance of the model follows from its ability to provide information about coupled oscillators' phase dynamics directly from the time series. KurSL o ers a novel framework for analysing a wide range of complex oscillatory behaviours, such as encountered in physiological signals.
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基于Kuramoto耦合和Sturm-Liouville问题的非调和耦合振荡模型
生理信号通常是振荡的,并且由于潜在过程的复杂相互作用或信号传播延迟而表现出非线性。这在大脑活动中尤其明显,因为大脑活动受到不同大脑结构之间各种反馈回路的相互作用的影响,这些反馈回路协调它们的活动以支持正常功能。为了理解健康和疾病中的这种信号,需要能够处理这种复杂振荡现象的方法。本文介绍了一种分析非谐波振荡的数据驱动方法。KurSL模型包含两个经过充分研究的组成部分,这两个组成部分在过去被分别用于分析振荡行为。Sturm-Liouville方程描述了一般振荡的一种形式,Kuramoto耦合模型表示一组在相域中相互作用的振子。这些组件的集成提供了一个灵活的框架,用于捕获比最常用的谐波振荡器更一般形式的振荡过程的复杂相互作用。本文介绍了KurSL模型的数学框架,并分析了其在各种参数范围内的行为。该模型的意义在于它能够直接从时间序列中提供有关耦合振荡器相位动力学的信息。KurSL提出了一个新的框架,用于分析各种复杂的振荡行为,例如在生理信号中遇到的振荡行为。
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来源期刊
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
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