Titlebook: Nonlinear Analysis of Physiological Data; H. Kantz,J. Kurths,G. Mayer-Kress Conference proceedings 1998 Springer-Verlag Berlin Heidelberg

Figate

冥界三河

Chaotic Measures and Real-World Systemsterministic dynamical systems. Questions are naturally raised about applicability of Lyapunov exponents and other “chaotic measures” when analyzing data from real-world systems, which are either stochastic or affected by numerous external influences, which cannot be described in any other way than a

引起

Cumulus

Analyzing Spatio-Temporal Patterns of Complex Systemsg methods with high time resolutions like multivariate measurements of the electroencephalogram (EEG) or the magnetoencephalogram (MEG) will allow for a detailed documentation of spatio-temporal processes in biological systems. Therefore, it is of extreme importance to develop methods which allow fo

Middle-Ear

Are R-R-Intervals Data Appropriate to Study the Dynamics of Heart?n conclusion is that on small time scales such recovery fails, and on large time scales the correlation integral behaves like that for noisy system. Consequently, it seems that recovery of underlying dynamical system and measuring its parameters (dimension, Lyapunov exponents etc.) from these data i

高射炮

New Nonlinear Algorithms for Analysis of Heart Rate Variability: Low-Dimensional Chaos Predicts Leths. Such loss of control is manifested in the heartbeat intervals as a reduction in the total variability, including contributions made by oscillatory reflexes. Animal studies suggest that although the loss of autonomic control may arise following acute coronary artery obstruction, myocardial infarct

ARCHE

Nonlinear Analysis of the Cardiorespiratory Coordination in a Newborn Pigletlockade. The coordinated behavior of heart rate fluctuation and respiratory movement reflects essential capabilities of the autonomic coordination. A corresponding multivariate data analysis was done by means of several nonlinear methods: generalized mutual information, redundancy and surrogate data

Ventilator

Cardiorespiratory Synchronization based on electrocardiogram and respiratory flow data obtained from 3 different subjects during paced breathing at 10 different pacing cycle lengths ranging from 5 s to 12 s. Two different methods ideally suited for the analysis of synchronization pattern of coupled oscillators are applied: 1. Symbo

biopsy

小平面

Classification of EEG Signals From a Music Perception Experiment Using Empirical Dynamical Modelses in Physiological Time Series Analysis (Dresden, 1995). This method is derived from the theory of nonlinear dynamics, and consists of a classification processing chain which utilizes estimated sets of nonlinear ODEs as a data model. The investigation consisted of a blind analysis of the EEG record