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" Experimental and numerical modelling of buried continuous pipelines crossing active faults "
Demirci, Hasan Emre
Bhattacharya, Suby
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BL
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578292
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b407511
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| Main Entry
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Kantz, H.
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Nonlinear Analysis of Physiological Data\ edited by H. Kantz, J. Kurths, G. Mayer-Kress.
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| Publication Statement
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Berlin, Heidelberg :: Springer Berlin Heidelberg,, 1998.
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| ISBN
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9783642719493
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: 9783642719516
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| Contents
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I Directions in Nonlinear Data Analysis -- Processing of Physiological Data -- Problems in the Reconstruction of High-dimensional Deterministic Dynamics from Time Series -- Chaotic Measures and Real-World Systems: Does the Lyapunov Exponent Always Measure Chaos -- Ranking and Entropy Estimation in Nonlinear Time Series Analysis -- Analysing Synchronization Phenomena from Bivariate Data by Means of the Hilbert Transform -- Analyzing Spatio-Temporal Patterns of Complex Systems -- II Cardio-Respiratory System -- Are R-R-Interval Data Appropriate to Study the Dynamics of the Heart -- New Nonlinear Algorithms for Analysis of Heart Rate Variability: Low-Dimensional Chaos Predicts Lethal Arrhythmias -- Nonlinear Analysis of the Cardiorespiratory Coordination in a Newborn Piglet -- Cardiorespiratory Synchronization -- III EEG Analysis -- EEG Signal Analysis by Continuous Wavelet Transform Techniques -- Relativity of Dynamical Measures in Study of the Human Brain: Local Lyapunov Exponent as a Tool for Comparative Studies -- Classification of EEG Signals Prom a Music Perception Experiment Using Empirical Dynamical Models -- IV Perception and Motor Control -- Nonlinear Analysis of Perceptual-Motor Coupling in the Developement of Postural Control -- Symbolic Dynamics of Bimanual Production of Polyrhythms -- Human Postural Control: Force Plate Experiments and Modelling -- Delay Induced Patterns of Visually Guided Movements -- V Voice -- Detecting Bifurcations in Voice Signals.
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| Abstract
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This book surveys recent developments in the analysis of physiological time series. The authors, physicists and mathematicans, physiologists and medical researchers, have succeeded in presenting a review of the new field of nonlinear data analysis as needed for more refined computer-aided diagnostics. Together with the techniques, they actually propose a new approach to the problems. Practitioners may find the many applications to the cardio-respiratory system, EEG analysis, motor control and voice signals very useful.
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Physics.
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Neurosciences.
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Psychiatry.
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Software engineering.
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Physiology-- Mathematics.
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Kurths, J.
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Mayer-Kress, G.
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SpringerLink (Online service)
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