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Nonlinear Analysis of Physiological Data by Holger Kantz HARDBACK 1st ed

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Book is very good, clean aside from owner's name in ink on ffep; bumped corners; Kantz Kurths ... Read moreabout condition
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Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
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“Book is very good, clean aside from owner's name in ink on ffep; bumped corners; Kantz Kurths ...
Book Title
Nonlinear Analysis of Physiological Data
ISBN-13
9783642719516
ISBN
9783642719516

About this product

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642719511
ISBN-13
9783642719516
eBay Product ID (ePID)
143879816

Product Key Features

Number of Pages
VIII, 344 Pages
Publication Name
Nonlinear Analysis of Physiological Data
Language
English
Publication Year
2011
Subject
Software Development & Engineering / General, Life Sciences / Neuroscience, Functional Analysis, Life Sciences / Anatomy & Physiology (See Also Life Sciences / Human Anatomy & Physiology), Life Sciences / Biophysics
Type
Textbook
Subject Area
Mathematics, Computers, Science
Author
Jürgen Kurths
Format
Trade Paperback

Dimensions

Item Height
0.3 in
Item Weight
19 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
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.
Synopsis
This book is more than a standard proceedings volume, although it is an almost direct result of the workshop on "Nonlinear Analysis of Physiologi­ cal Time Series" held in Freital near Dresden, Germany, in October 1995. The idea of the meeting was, as for previous meetings devoted to related topics, such as the conference on dynamical diseases held near Montreal in February 1994 (see CHAOS Vol. 5(1), 1995), to bring together experts on the techniques of nonlinear analysis and the theory of chaos and applicants from the most fascinating field where such methods could potentially be useful: the life sciences. The former group consisted mainly of physicists and mathe­ maticians, the latter was represented by physiologists and medical researchers and practitioners. Many aspects of this workshop were unusual and not previously expe­ rienced. Also, the hosting institution, the Max Planck Institute for Physics of Complex Systems (MPIPKS), at this time was brand new. The organiz­ ers' rather unconventional intention was to bring specialists of both groups together to really work together. Therefore, there was an excessive availabil­ ity of computers and the possibility to numerically study time series data sets practitioners had supplied from their own fields, e. g. electrocardiogram (ECG) data, electroencephalogram (EEG) data, data from the respiratory system, from human voice, human posture control, and several others. These data formed a much stronger link between theoreticians and applicants than any of the common ideas., This book is more than a standard proceedings volume, although it is an almost direct result of the workshop on "Nonlinear Analysis of Physiologi- cal Time Series" held in Freital near Dresden, Germany, in October 1995. The idea of the meeting was, as for previous meetings devoted to related topics, such as the conference on dynamical diseases held near Montreal in February 1994 (see CHAOS Vol. 5(1), 1995), to bring together experts on the techniques of nonlinear analysis and the theory of chaos and applicants from the most fascinating field where such methods could potentially be useful: the life sciences. The former group consisted mainly of physicists and mathe- maticians, the latter was represented by physiologists and medical researchers and practitioners. Many aspects of this workshop were unusual and not previously expe- rienced. Also, the hosting institution, the Max Planck Institute for Physics of Complex Systems (MPIPKS), at this time was brand new. The organiz- ers' rather unconventional intention was to bring specialists of both groups together to really work together. Therefore, there was an excessive availabil- ity of computers and the possibility to numerically study time series data sets practitioners had supplied from their own fields, e. g. electrocardiogram (ECG) data, electroencephalogram (EEG) data, data from the respiratory system, from human voice, human posture control, and several others. These data formed a much stronger link between theoreticians and applicants than any of the common ideas.
LC Classification Number
QH505

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