DYNAMICAL ASSESSMENT OF PHYSIOLOGICAL SYSTEMS AND STATES USING RECURRENCE PLOT STRATEGIES
DYNAMICAL ASSESSMENT OF PHYSIOLOGICAL SYSTEMS AND STATES USING RECURRENCE PLOT STRATEGIES
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DOI：
10.1152/jappl.1994.76.2.965
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发表时间：
1994-02-01
影响因子：
3.3
通讯作者：
ZBILUT, JP
中科院分区：
文献类型：
--
作者：
WEBBER, CL;ZBILUT, JP
生理系统的最佳特征是复杂的动态过程，不断受到非线性前馈和反馈输入的影响并不断更新。由于系统组件之间的动态相互作用、外部噪声扰动和生理状态变化，系统输出通常表现出各种各样的行为。复杂的相互作用发生在各种层次结构上，并涉及许多相互作用的变量，其中许多变量无法进行实验测量。在本文中，我们说明了递归图如何获取单个生理测量值，通过嵌入程序将其投影到多维空间，并识别一维时间序列中不明显的时间相关性（递归）。我们通过计算一系列特定的递归变量来扩展递归图的原始描述，这些变量量化了图的确定性结构和复杂性。然后，我们演示如何通过在向下滑动任何生理动态的窗口内进行重复的循环图计算来评估生理状态。与其他主要时间序列技术不同，递归图分析不受数据平稳性和大小限制的限制。呼吸和骨骼运动系统的相关生理例子说明了递归图在非线性系统诊断中的实用性。该方法完全适用于任何节奏系统，无论是机械的、电的、神经的、激素的、化学的，甚至是空间的。
Physiological systems are best characterized as com plex dynamical processes that are continuously subjected to and updated by nonlinear feedforward and feedback inputs. System outputs usually exhibit wide varieties of behaviors due to dynamical interactions between system components, external noise perturbations, and physiological state changes. Complicated interactions occur at a variety of hierarchial levels and involve a number of interacting variables, many of which are unavailable for experimental measurement. In this paper we illustrate how recurrence plots can take single physiological measurements, project them into multidimensional space by embedding procedures, and identify time correlations (recurrences) that are not apparent in the one-dimensional time series. We extend the original description of recurrence plots by computing an array of specific recurrence variables that quantify the deterministic structure and complexity of the plot. We then demonstrate how physiological states can be assessed by making repeated recurrence plot calculations within a window sliding down any physiological dynamic. Unlike other predominant time series techniques, recurrence plot analyses are not limited by data stationarity and size constraints. Pertinent physiological examples from respiratory and skeletal motor systems illustrate the utility of recurrence plots in the diagnosis of nonlinear systems. The methodology is fully applicable to any rhythmical system, whether it be mechanical, electrical, neural, hormonal, chemical, or even spacial.