000 10567nam a2201837 i 4500
001 5959849
003 IEEE
005 20191218152121.0
006 m o d
007 cr |n|||||||||
008 151221s2011 nju ob 001 eng d
020 _a9781118007747
_qebook
020 _z9780470422144
_qprint
020 _z1118007743
_qelectronic
024 7 _a10.1002/9781118007747
_2doi
035 _a(CaBNVSL)mat05959849
035 _a(IDAMS)0b000064815f34e1
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aR857.S47
_bA37 2011eb
082 0 4 _a610.28
_222
245 0 0 _aAdvanced methods of biomedical signal processing /
_cedited by Sergio Cerutti, Carlo Marchesi.
264 1 _aPiscataway, New Jersey :
_bIEEE Press,
_cc2011.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2011]
300 _a1 PDF (512 pages).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIEEE press series on biomedical engineering ;
_v27
500 _aIn Wiley online library
504 _aIncludes bibliographical references.
505 0 _aPreface -- Contributors -- Part I. Fundamentals of Biomedical Signal Processing and Introduction to Advanced Methods -- 1. Methods of Biomedical Signal Processing -- Multiparametric and Multidisciplinary Integration toward a Better Comprehension of Pathophysiological Mechanisms (Sergio Cerutti) -- 2. Data, Signals, and Information -- Medical Applications of Digital Signal Processing (Carlo Marchesi, Matteo Paoletti, and Loriano Galeotti) -- Part II. Points of View of the Physiologist and Clinician -- 3. Methods and Neurons (Gabriele E. M. Biella) -- 4. Evaluation of the Autonomic Nervous System -- From Algorithms to Clinical Practice (Maria Teresa La Rovere) -- Part III. Models and Biomedical Signals -- 5. Parametric Models for the Analysis of Interactions in Biomedical Signals (Giuseppe Baselli, Alberto Porta, and Paolo Bolzern) -- 6. Use of Interpretative Models in Biological Signal Processing (Mauro Ursino) -- 7. Multimodal Integration of EEG, MEG, and Functional MRI in the Study of Human Brain Activity (Fabio Babiloni, Fabrizio De Vico Fallani, and Febo Cincotti) -- 8. Deconvolution for Physiological Signal Analysis (Giovanni Sparacino, Gianluigi Pillonetto, Giuseppe De Nicolao, and Claudio Cobelli) -- Part IV. Time-Frequency, Time-Scale, and Wavelet Analysis -- 9. Linear Time-Frequency Representation (Maurizio Varanini) -- 10. Quadratic Time-Frequency Representation (Luca Mainardi) -- 11. Time-Variant Spectral Estimation (Anna M. Bianchi) -- Part V. Complexity Analysis and Nonlinear Methods -- 12. Dynamical Systems and Their Bifurcations (Fabio Dercole and Sergio Rinaldi) -- 13. Fractal Dimension -- From Geometry to Physiology (Rita Balocchi) -- 14. Nonlinear Analysis of Experimental Time Series (Maria Gabriella Signorini and Manuela Ferrario) -- 15. Blind Source Separation -- Application to Biomedical Signals (Luca Mesin, Ale�S Holobar, and Roberto Merletti) -- 16. Higher Order Spectra (Giovanni Calcagnini and Federica Censi) -- Part VI. Information Processing of Molecular Biology Data.
505 8 _a17. Molecular Bioengineering and Nanobioscience -- Data Analysis and Processing Methods (Carmelina Ruggiero) -- 18. Microarray Data Analysis -- General Concepts, Gene Selection, and Classification (Ricardo Bellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo, Fulvia Ferraazzi, Paolo Magni, Licia Sacchi, and Gianna Toffolo) -- 19. Microarray Data Analysis -- Gene Regulatory Networks (Riccardo Bellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo, Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, and Gianna Toffolo) -- 20. Biomolecular Sequence Analysis (Linda Pattini and Sergio Cerutti) -- Part VII. Classification and Feature Extraction -- 21. Soft Computing in Signal and Data Analysis -- Neural Networks, Neuro-Fuzzy Networks, and Genetic Algorithms (Giovanni Magenes, Francesco Lunghi, and Stefano Ramat) -- 22. Interpretation and Classification of Patient Status Patterns (Matteo Paoletti and Carlo Marchesi) -- Index -- IEEE Press Series in Biomedical Engineering.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aA complete introduction to the application of advanced signal processing methods to biomedical engineering problemsThis edited volume, which grew out of the GNB (Gruppo Nazionale di Bioingegneria, Italy) Summer School on Biomedical Signal Processing, explains some of the most advanced methodological signal processing techniques and applies them to biomedical engineering problems. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications.Divided into seven sections, Advanced Methods of Biomedical Signal Processing covers:. The peculiarities of biomedical signal processing with respect to more traditional applications of digital signal processing and their classification. An experimental physiologist's and cardiologist's view of the cardiovascular, central and autonomic nervous systems. An important link between biomedical signal processing and physiological modeling. Time-frequency, time-scale, and wavelet analysis. Advanced methods employed in complexity measurements. Computational genomics and proteomics. Key methods for signal classification, such as neural networks, neuro-fuzzy and genetic algorithmsThe book provides a compelling overview of techniques, such as multisource and multi-scale integration of information for physiology and clinical decision; the integration of signal processing methods with a modeling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; and classification and parameter enhancement. Various contributions reveal that biomedical signal processing must be viewed in a wider context, with key links to the modeling phase of the signal-generating mechanisms, in order to better comprehend the behavior of the biological system under investigation.Graduate and PhD students in engineering/biomedical engineering courses, physics and applied mathematics, as well as research professionals in medical and biological sciences will highly benefit from this authoritative resource.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aSignal processing.
650 0 _aBiomedical engineering.
650 1 2 _aBiomedical Engineering.
650 1 2 _aSignal Processing, Computer-Assisted.
650 2 2 _aMicroarray Analysis
_xmethods.
650 2 2 _aModels, Biological.
655 0 _aElectronic books.
695 _aScalp
695 _aSections
695 _aSensors
695 _aShape
695 _aSignal processing
695 _aSignal processing algorithms
695 _aSignal resolution
695 _aSkeleton
695 _aSkull
695 _aSource separation
695 _aSpinal cord
695 _aSupport vector machine classification
695 _aTaylor series
695 _aTechnological innovation
695 _aTime domain analysis
695 _aTime frequency analysis
695 _aTime measurement
695 _aTime series analysis
695 _aTopology
695 _aTrajectory
695 _aTransforms
695 _aUncertainty
695 _aWavelet analysis
695 _aWavelet transforms
695 _aAdaptive systems
695 _aAdditives
695 _aAdvertising
695 _aAnalytical models
695 _aArrays
695 _aAutoregressive processes
695 _aBayesian methods
695 _aBifurcation
695 _aBioinformatics
695 _aBiological neural networks
695 _aBiological system modeling
695 _aBiological systems
695 _aBiomedical engineering
695 _aBiomedical measurements
695 _aBrain modeling
695 _aBrain models
695 _aCentral nervous system
695 _aChaos
695 _aChirp
695 _aClassification algorithms
695 _aCoherence
695 _aCorrelation
695 _aDNA
695 _aData analysis
695 _aData mining
695 _aData models
695 _aDeconvolution
695 _aDifferential equations
695 _aDigital signal processing
695 _aElectric potential
695 _aElectroencephalography
695 _aEncoding
695 _aEntropy
695 _aEquations
695 _aError probability
695 _aEstimation
695 _aExtraterrestrial measurements
695 _aFabrication
695 _aFeature extraction
695 _aFiltering
695 _aFluorescence
695 _aFourier transforms
695 _aFractals
695 _aFrequency modulation
695 _aGene expression
695 _aGenetic algorithms
695 _aGenomics
695 _aHeart rate variability
695 _aHigher order statistics
695 _aHumans
695 _aIEEE Press
695 _aImage reconstruction
695 _aIndexes
695 _aIrrigation
695 _aKernel
695 _aLeast squares approximation
695 _aLimit-cycles
695 _aMagnetic heads
695 _aManifolds
695 _aMathematical model
695 _aMedical diagnostic imaging
695 _aMicroscopy
695 _aMutual information
695 _aMyocardium
695 _aNanobioscience
695 _aNeurons
695 _aNoise
695 _aNoise measurement
695 _aOptical fiber sensors
695 _aOscillators
695 _aPathology
695 _aPerformance evaluation
695 _aPhysiology
695 _aPlasmas
695 _aPredictive models
695 _aPrincipal component analysis
695 _aProbes
695 _aProteins
695 _aRandom variables
695 _aReverse engineering
700 1 _aCerutti, Sergio.
700 1 _aMarchesi, Carlo.
710 2 _aIEEE Xplore (Online Service),
_edistributor.
710 2 _aJohn Wiley & Sons,
_epublisher.
776 0 8 _iPrint version:
_z9780470422144
830 0 _aIEEE Press series in biomedical engineering ;
_v27
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5959849
999 _c42326
_d42326