000 07101nam a2201333 i 4500
001 5263163
003 IEEE
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006 m o d
007 cr |n|||||||||
008 151229s2000 nyua ob 001 eng d
020 _a9780470545379
_qelectronic
020 _z9780780360129
_qprint
020 _z0470545372
_qelectronic
024 7 _a10.1109/9780470545379
_2doi
035 _a(CaBNVSL)mat05263163
035 _a(IDAMS)0b000064810c3304
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aR857.S47
_bN66 2000eb
060 1 4 _a2000 M-536
060 1 4 _aQT 26.5
_bN813 2000-
082 0 4 _a610/.285/632
_222
245 0 0 _aNonlinear biomedical signal processing..
_nVolume 2,
_pDynamic analysis and modeling /
_cedited by Metin Akay.
246 3 _aDynamic analysis and modeling
264 1 _aNew York :
_bIEEE Press,
_cc2000.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2000]
300 _a1 PDF (364 pages) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIEEE Press series on biomedical engineering ;
_v6
500 _a"IEEE Engineering in medicine and biology society, sponsor."
504 _aIncludes bibliographical references and index.
505 0 _aPreface. List of Contributors. Nonlinear Dynamics Time Series Analysis (B. Henry, et al.). Searching for the Origin of Chaos (T. Yambe, et al.). Approximate Entropy and Its Applications to Biosignal Analysis (Y. Fusheng, et al.). Parsimonious Modeling of Biomedical Signals and Systems: Applications to the Cardiovascular System (P. Celka, et al.). Nonlinear Behavior of Heart Rate Variability as Registered After Heart Transplantation (C. Maier, et al.). Heart Rate Variability: Measures and Models (M. Teich, et al.). Ventriculo-Arterial Interaction After Acute Increase of the Aortic Input Impedance: Description Using Recurrence Plot Analysis (S. Schulz, et al.). Nonlinear Estimation of Respiratory-Induced Heart Movements and Its Application in ECG/VCG Processing (L. Sornmo, et al.). Detecting Nonlinear Dynamics in Sympathetic Activity Directed to the Heart (A. Porta, et al.). Assessment of Nonlinear Dynamics in Heart Rate Variability Signal (M. Signorini, et al.). Nonlinear Deterministic Behavior in Blood Pressure Control (N. Lovell, et al.). Measurement and Quantification of Spatiotemporal Dynamics of Human Epileptic Seizures (L. Iasemidis, et al.). Rhythms and Chaos in the Stomach (Z. Wang, et al). Index. About the Editor.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aFeaturing current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant MATLAB(R) and Pascal programs. Topics covered include: . Nonlinear dynamics. Behavior and estimation. Modeling of biomedical signals and systems. Heart rate variability measures, models, and signal assessments. Origin of chaos in cardiovascular and gastric myoelectrical activity. Measurement of spatio-temporal dynamics of human epileptic seizures A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume II is an excellent companion to Dr. Akay's Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/29/2015.
650 0 _aSignal processing.
_94052
650 0 _aBiomedical engineering.
_93292
650 0 _aFuzzy logic.
_93518
650 0 _aNeural networks (Computer science)
_93414
650 1 2 _aSignal Processing, Computer-Assisted.
_926041
650 2 2 _aAlgorithms.
_93390
650 2 2 _aBiomedical Engineering.
_93292
650 2 2 _aFuzzy Logic.
_93518
650 2 2 _aModels, Biological.
_97703
650 2 2 _aNeural Networks (Computer)
_921566
655 0 _aElectronic books.
_93294
695 _aAnimals
695 _aAutoregressive processes
695 _aBaroreflex
695 _aBiographies
695 _aBiological system modeling
695 _aBlood
695 _aChaos
695 _aComputational modeling
695 _aCorrelation
695 _aCouplings
695 _aDischarges
695 _aDogs
695 _aElectrocardiography
695 _aElectrodes
695 _aElectroencephalography
695 _aEntropy
695 _aEpilepsy
695 _aEquations
695 _aEstimation
695 _aExtraterrestrial measurements
695 _aFilling
695 _aFinite element methods
695 _aFluctuations
695 _aFractals
695 _aHeart
695 _aHeart beat
695 _aHeart rate variability
695 _aHemodynamics
695 _aHeuristic algorithms
695 _aHistograms
695 _aIndexes
695 _aLead
695 _aMathematical model
695 _aMatrix decomposition
695 _aMaximum likelihood estimation
695 _aNoise
695 _aNonlinear dynamical systems
695 _aOrbits
695 _aOscillators
695 _aParticle measurements
695 _aPhase measurement
695 _aPolynomials
695 _aProbability
695 _aResonant frequency
695 _aRhythm
695 _aSignal processing algorithms
695 _aSpatiotemporal phenomena
695 _aStochastic processes
695 _aStomach
695 _aSynchronization
695 _aTime frequency analysis
695 _aTime series analysis
695 _aTrajectory
695 _aValves
695 _aVentilation
700 1 _aAkay, Metin.
_926043
710 2 _aJohn Wiley & Sons,
_epublisher.
_96902
710 2 _aIEEE Engineering in Medicine and Biology Society.
_926044
710 2 _aIEEE Xplore (Online service),
_edistributor.
_926604
776 0 8 _iPrint version:
_z9780780360129
830 0 _aIEEE Press series on biomedical engineering ;
_v6
_926605
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263163
942 _cEBK
999 _c73825
_d73825