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Nonlinear dynamic modeling of physiological systems / (Record no. 40401)

MARC details
000 -LEADER
fixed length control field	07649nam a2201189 i 4500
001 - CONTROL NUMBER
control field	5769528
003 - CONTROL NUMBER IDENTIFIER
control field	IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20230927112352.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field	m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field	cr \|n\|\|\|\|\|\|\|\|\|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	151221s2004 njua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9780471679370
Qualifying information	electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	9780471469605
Qualifying information	print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	0471679372
Qualifying information	electronic
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1002/9780471679370
Source of number or code	doi
035 ## - SYSTEM CONTROL NUMBER
System control number	(CaBNVSL)mat05769528
035 ## - SYSTEM CONTROL NUMBER
System control number	(IDAMS)0b000064815400e9
040 ## - CATALOGING SOURCE
Original cataloging agency	CaBNVSL
Language of cataloging	eng
Description conventions	rda
Transcribing agency	CaBNVSL
Modifying agency	CaBNVSL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Marmarelis, Vasilis Z.,
Relator term	author.
245 10 - TITLE STATEMENT
Title	Nonlinear dynamic modeling of physiological systems /
Statement of responsibility, etc.	Vasilis Z. Marmarelis.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer	Wiley-Interscience,
Date of production, publication, distribution, manufacture, or copyright notice	c2004
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	[Piscataqay, New Jersey] :
Name of producer, publisher, distributor, manufacturer	IEEE Xplore,
Date of production, publication, distribution, manufacture, or copyright notice	[2004]
300 ## - PHYSICAL DESCRIPTION
Extent	1 PDF (xvi, 541 pages) :
Other physical details	illustrations.
336 ## - CONTENT TYPE
Content type term	text
Source	rdacontent
337 ## - MEDIA TYPE
Media type term	electronic
Source	isbdmedia
338 ## - CARRIER TYPE
Carrier type term	online resource
Source	rdacarrier
490 1# - SERIES STATEMENT
Series statement	IEEE Press series on biomedical engineering ;
Volume/sequential designation	10
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note	Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Prologue -- 1 Introduction -- 1.1 Purpose of this Book -- 1.2 Advocated Approach -- 1.3 The Problem of System Modeling in Physiology -- 1.4 Types of Nonlinear Models of Physiological Systems -- 2 Nonparametric Modeling -- 2.1 Volterra Models -- 2.2 Wiener Models -- 2.3 Efficient Volterra Kernel Estimation -- 2.4 Analysis of Estimation Errors -- 3 Parametric Modeling -- 3.1 Basic Parametric Model Forms and Estimation Procedures -- 3.2 Volterra Kernels of Nonlinear Differential Equations -- 3.3 Discrete-Time Volterra Kernels of NARMAX Models -- 3.4 From Volterra Kernel Measurements to Parametric Models -- 3.5 Equivalence Between Continuous and Discrete Parametric Models -- 4 Modular and Connectionist Modeling -- 4.1 Modular Form of Nonparametric Models -- 4.2 Connectionist Models -- 4.3 The Laguerre-Volterra Network -- 4.4 The VWM Model -- 5 A Practitioner's Guide -- 5.1 Practical Considerations and Experimental Requirements -- 5.2 Preliminary Tests and Data Preparation -- 5.3 Model Specification and Estimation -- 5.4 Model Validation and Interpretation -- 5.5 Outline of Step-by-Step Procedure -- 6 Selected Applications -- 6.1 Neurosensory Systems -- 6.2 Cardiovascular System -- 6.3 Renal System -- 6.4 Metabolic-Endocrine System -- 7 Modeling of Multiinput/Multioutput Systems -- 7.1 The Two-Input Case -- 7.2 Applications of Two-Input Modeling to Physiological Systems -- 7.3 The Multiinput Case -- 7.4 Spatiotemporal and Spectrotemporal Modeling -- 8 Modeling of Neuronal Systems -- 8.1 A General Model of Membrane and Synaptic Dynamics -- 8.2 Functional Integration in the Single Neuron -- 8.3 Neuronal Systems with Point-Process Inputs -- 8.4 Modeling of Neuronal Ensembles -- 9 Modeling of Nonstationary Systems -- 9.1 Quasistationary and Recursive Tracking Methods -- 9.2 Kernel Expansion Method -- 9.3 Network-Based Methods -- 9.4 Applications to Nonstationary Physiological Systems -- 10 Modeling of Closed-Loop Systems -- 10.1 Autoregressive Form of Closed-Loop Model -- 10.2 Network Model Form of Closed-Loop Systems.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note	Appendix I: Function Expansions -- Appendix II: Gaussian White Noise -- Appendix III: Construction of the Wiener Series -- Appendix IV: Stationarity, Ergodicity, and Autocorrelation Functions of Random Processes -- References -- Index.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access	Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc.	A practical approach to obtaining nonlinear dynamic models from stimulus-response dataNonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substantial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addressing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems.Nonlinear Dynamic Modeling of Physiological Systems provides the most comprehensive treatment of the subject to date. Starting with the mathematical background upon which these methodologies are built, the book presents the methodologies that have been developed and used over the past thirty years. The text discusses implementation and computational issues and gives illustrative examples using both synthetic and experimental data. The author discusses the various modeling approaches-nonparametric, including the Volterra and Wiener models; parametric; modular; and connectionist-and clearly identifies their comparative advantages and disadvantages along with the key criteria that must guide successful practical application. Selected applications covered include neural and sensory systems, cardiovascular and renal systems, and endocrine and metabolic systems. This lucid and comprehensive text is a valuable reference and guide for the community of scientists and engineers who wish to develop and apply the skills of nonlinear modeling to physiological systems.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note	Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note	Mode of access: World Wide Web
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note	Description based on PDF viewed 12/21/2015.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Physiology
General subdivision	Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Nonlinear theories.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term	Electronic books.
695 ## -
--	Accuracy
695 ## -
--	Adaptation models
695 ## -
--	Anisotropic magnetoresistance
695 ## -
--	Approximation error
695 ## -
--	Approximation methods
695 ## -
--	Autoregressive processes
695 ## -
--	Bandwidth
695 ## -
--	Bibliographies
695 ## -
--	Biomembranes
695 ## -
--	Broadband communication
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--	Complexity theory
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--	Computational modeling
695 ## -
--	Context
695 ## -
--	Context modeling
695 ## -
--	Correlation
695 ## -
--	Data models
695 ## -
--	Difference equations
695 ## -
--	Dynamic range
695 ## -
--	Eigenvalues and eigenfunctions
695 ## -
--	Electric potential
695 ## -
--	Equations
695 ## -
--	Estimation
695 ## -
--	Filter banks
695 ## -
--	Firing
695 ## -
--	Fourier transforms
695 ## -
--	Gain
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--	Gaussian processes
695 ## -
--	Genetic expression
695 ## -
--	Hilbert space
695 ## -
--	Indexes
695 ## -
--	Joints
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--	Kernel
695 ## -
--	Linear regression
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--	Linearity
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--	Mathematical model
695 ## -
--	Minimization
695 ## -
--	Modeling
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--	Nerve fibers
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--	Neurons
695 ## -
--	Noise
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--	Nonlinear dynamical systems
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--	Nonlinear systems
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--	Parametric statistics
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--	Physiology
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--	Polynomials
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--	Predictive models
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--	Probabilistic logic
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--	Radiation detectors
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--	Random processes
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--	Retina
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--	Sections
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--	Taylor series
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--	Time varying systems
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--	Training
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--	White noise
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	IEEE Xplore (Online Service),
Relator term	distributor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	John Wiley & Sons,
Relator term	publisher.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	IEEE Engineering in Medicine and Biology Society.
730 0# - ADDED ENTRY--UNIFORM TITLE
Uniform title	IEEE Xplore (Livres)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Print version:
International Standard Book Number	9780471469605
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title	IEEE Press series in biomedical engineering ;
Volume/sequential designation	10
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified	Abstract with links to resource
Uniform Resource Identifier	<a href="https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5769528">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5769528</a>

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