{"product_id":"advanced-methods-of-biomedical-signal-processing-isbn-9780470422144","title":"Advanced Methods of Biomedical Signal Processing","description":"This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. 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.  \u003cp\u003e The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement.\u003c\/p\u003e  Preface.  \u003cp\u003eContributors.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I. Fundamentals of Biomedical Signal Processing and Introduction to Advanced Methods.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Methods of Biomedical Signal Processing.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMultiparametric and Multidisciplinary Integration toward a Better Comprehension of Pathophysiological Mechanisms (\u003ci\u003eSergio Cerutti\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Data, Signals, and Information.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMedical Applications of Digital Signal Processing (\u003ci\u003eCarlo Marchesi, Matteo Paoletti, and Loriano Galeotti\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II. Points of View of the Physiologist and Clinician.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3. \u003cb\u003eMethods and Neurons\u003c\/b\u003e (\u003ci\u003eGabriele E. M. Biella\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Evaluation of the Autonomic Nervous System.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrom Algorithms to Clinical Practice (\u003ci\u003eMaria Teresa La Rovere\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III. Models and Biomedical Signals.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Parametric Models for the Analysis of Interactions in Biomedical Signals\u003c\/b\u003e (\u003ci\u003eGiuseppe Baselli, Alberto Porta, and Paolo Bolzern\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Use of Interpretative Models in Biological Signal Processing\u003c\/b\u003e (\u003ci\u003eMauro Ursino\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Multimodal Integration of EEG, MEG, and Functional MRI in the Study of Human Brain Activity\u003c\/b\u003e (\u003ci\u003eFabio Babiloni, Fabrizio De Vico Fallani, and Febo Cincotti\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e8. \u003cb\u003eDeconvolution for Physiological Signal Analysis\u003c\/b\u003e (\u003ci\u003eGiovanni Sparacino, Gianluigi Pillonetto, Giuseppe De Nicolao, and Claudio Cobelli).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV. Time-Frequency, Time-Scale, and Wavelet Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9. \u003cb\u003eLinear Time-Frequency Representation\u003c\/b\u003e (\u003ci\u003eMaurizio Varanini\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Quadratic Time-Frequency Representation\u003c\/b\u003e (\u003ci\u003eLuca Mainardi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Time-Variant Spectral Estimation\u003c\/b\u003e (\u003ci\u003eAnna M. Bianchi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V. Complexity Analysis and Nonlinear Methods.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Dynamical Systems and Their Bifurcations\u003c\/b\u003e (\u003ci\u003eFabio Dercole and Sergio Rinaldi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Fractal Dimension.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrom Geometry to Physiology (\u003ci\u003eRita Balocchi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Nonlinear Analysis of Experimental Time Series\u003c\/b\u003e (\u003ci\u003eMaria Gabriella Signorini and Manuela Ferrario\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Blind Source Separation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eApplication to Biomedical Signals (\u003ci\u003eLuca Mesin, Aleš Holobar, and Roberto Merletti\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e16. Higher Order Spectra (\u003ci\u003eGiovanni Calcagnini and Federica Censi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VI. Information Processing of Molecular Biology Data.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Molecular Bioengineering and Nanobioscience.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Analysis and Processing Methods (\u003ci\u003eCarmelina Ruggiero\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Microarray Data Analysis\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003eGeneral Concepts, Gene Selection, and Classification (\u003ci\u003eRicardo Bellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo, Fulvia Ferraazzi, Paolo Magni, Licia Sacchi, and Gianna Toffolo\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. Microarray Data Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGene Regulatory Networks (\u003ci\u003eRiccardo Bellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo, Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, and Gianna Toffolo)\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20. Biomolecular Sequence Analysis\u003c\/b\u003e (\u003ci\u003eLinda Pattini and Sergio Cerutti\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VII. Classification and Feature Extraction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21. Soft Computing in Signal and Data Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNeural Networks, Neuro-Fuzzy Networks, and Genetic Algorithms (\u003ci\u003eGiovanni Magenes, Francesco Lunghi, and Stefano Ramat\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22. Interpretation and Classification of Patient Status Patterns\u003c\/b\u003e (\u003ci\u003eMatteo Paoletti and Carlo Marchesi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e \u003cp\u003eIEEE Press Series in Biomedical Engineering.\u003c\/p\u003e  \u003cb\u003eSergio Cerutti\u003c\/b\u003e, PhD, is Chairman of the Biomedical Engineering Program at the Department of Bioengineering, Politecnico in Milan. A Fellow of the IEEE, EAMBES and AIMBE, Dr. Cerutti serves as Associate Editor of the IEEE Transactions of Biomedical Engineering. He is the Co-Chair of the Steering Committee of the International IEEE-EMBS Summer Schools on Biomedical Signal Processing.  \u003cp\u003e\u003cb\u003eCarlo Marchesi\u003c\/b\u003e, PhD, is Professor of Biomedical Engineering at the University of Florence, Italy. A Co-Chair of the Italian Summer School on Biomedical Signal Processing, Dr. Marchesi's research interests include the application of computer science to medicine, data mining, and assistive technology to aid the disabled.\u003c\/p\u003e  \u003cb\u003eA complete introduction to the application of advanced signal processing methods to biomedical engineering problems\u003c\/b\u003e  \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eDivided into seven sections, \u003ci\u003eAdvanced Methods of Biomedical Signal Processing\u003c\/i\u003e covers:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eThe peculiarities of biomedical signal processing with respect to more traditional applications of digital signal processing and their classification\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAn experimental physiologist's and cardiologist's view of the cardiovascular, central and autonomic nervous systems\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAn important link between biomedical signal processing and physiological modeling\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eTime-frequency, time-scale, and wavelet analysis\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAdvanced methods employed in complexity measurements\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eComputational genomics and proteomics\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eKey methods for signal classification, such as neural networks, neuro-fuzzy and genetic algorithms\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003eGraduate 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.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47988668170469,"sku":"NP9780470422144","price":142.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470422144.jpg?v=1761781189","url":"https:\/\/k12savings.com\/products\/advanced-methods-of-biomedical-signal-processing-isbn-9780470422144","provider":"K12savings","version":"1.0","type":"link"}