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Author:   Sergio Cerutti (Department of Bioengineering, Polytechnic University, Milan, Italy) ,  Carlo Marchesi (University of Florence, Italy) ,  Carlo Marchesi
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
Dimensions:   Width: 16.30cm , Height: 3.30cm , Length: 24.40cm
Weight:   0.962kg
ISBN:  

9780470422144

ISBN 10:   0470422149
Pages:   608
Publication Date:   27 May 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Preface. 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, Aleš Holobar, and Roberto Merletti). 16. Higher Order Spectra (Giovanni Calcagnini and Federica Censi). Part VI. Information Processing of Molecular Biology Data. 17. 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.

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Sergio Cerutti, 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. Carlo Marchesi, 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.

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