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035 $a(OCoLC)728172081$z(OCoLC)758540781$z(OCoLC)798710462$z(OCoLC)1058422660$z(OCoLC)1066444323$z(OCoLC)1097095192
037 $a9780471679370$bIEEE$nhttp://ieeexplore.ieee.org
050 4 $aQP33.6.M36$bM37 2004
060 4 $a2004 L-276
060 4 $aWA 950$bM351n 2004
082 04 $a571.01/5118$223
100 1 $aMarmarelis, Vasilis Z.
245 10 $aNonlinear dynamic modeling of physiological systems /$cVasilis Z. Marmarelis.
260 $aHoboken, N.J. :$bWiley-Interscience,$c℗♭2004.
300 $a1 online resource (xvi, 541 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aIEEE Press series on biomedical engineering
504 $aIncludes bibliographical references (pages 507-533) and index.
505 0 $aNonparametric Modeling -- Parametric Modeling -- Modular and Connectionist Modeling -- A Practitioner's Guide -- Selected Applications -- Modeling of Multiinput/Multioutput Systems -- Modeling of Neuronal Systems -- Modeling of Nonstationary Systems -- Modeling of ClosedLoop Systems -- 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.
520 $aA 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.
546 $aEnglish.
650 0 $aPhysiology$xMathematical models.
650 0 $aNonlinear theories.
650 2 $aMathematics.
650 2 $aModels, Theoretical.
650 2 $aBiological Science Disciplines.
650 2 $aInvestigative Techniques
650 2 $aNatural Science Disciplines.
650 2 $aDisciplines and Occupations
650 2 $aAnalytical, Diagnostic and Therapeutic Techniques and Equipment
650 2 $aNonlinear Dynamics.
650 2 $aPhysiology.
650 6 $aSyste mes non line aires.
650 6 $aPhysiologie$xMode les mathe matiques.
650 7 $aNonlinear theories.$2fast$0(OCoLC)fst01038812
650 7 $aPhysiology$xMathematical models.$2fast$0(OCoLC)fst01063186
650 7 $aHuman Anatomy & Physiology.$2hilcc
650 7 $aHealth & Biological Sciences.$2hilcc
650 7 $aPhysiology.$2hilcc
655 0 $aElectronic books.
655 4 $aElectronic books.
710 2 $aIEEE Engineering in Medicine and Biology Society.
776 08 $iPrint version:$aMarmarelis, Vasilis Z.$tNonlinear dynamic modeling of physiological systems.$dHoboken, N.J. : Wiley-Interscience, ℗♭2004$z9780471469605$w(DLC) 2004303264$w(OCoLC)56538682
830 0 $aIEEE Press series in biomedical engineering.
856 40 $3IEEE Xplore$uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5769528
856 40 $3IEEE Xplore.$uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=5769528
856 40 $3IEEE Xplore$uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5769528
856 40 $3IEEE Xplore$uhttp://www.library.yorku.ca/e/resolver/id/2222139
856 40 $3IEEE Xplore.$uhttp://www.library.yorku.ca/e/resolver/id/2222140$zAn electronic book accessible through the World Wide Web; click for information
856 40 $3IEEE Xplore$uhttp://ieeexplore.ieee.org.ezproxy.aub.edu.lb/xpl/bkabstractplus.jsp?bkn=5769528
856 40 $3Wiley$uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9780471679370
856 40 $3Wiley InterScience$uhttps://doi.org/10.1002/9780471679370$zAn electronic book accessible through the World Wide Web; click for information
856 40 $3Wiley$uhttp://0-onlinelibrary.wiley.com.pugwash.lib.warwick.ac.uk/doi/book/10.1002/9780471679370
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