Advanced Methods of Biomedical Signal Processing

Copyright © 2011 The Institute of Electrical and Electronics Engineers, Inc.

Advanced Methods of Biomedical Signal Processing

Editor(s): Sergio Cerutti, Carlo Marchesi

Published Online: 13 JUN 2011 09:27AM EST

Print ISBN: 9780470422144

Online ISBN: 9781118007747

DOI: 10.1002/9781118007747

About this Book

Product Information

About The Product

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.

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.

Table of contents

    1. You have free access to this content
      Front Matter (pages i–xxv)

  2. Part I: Fundamentals of Biomedical Signal Processing and Introduction to Advanced Methods

    1. Chapter 1

      Methods of Biomedical Signal Processing: Multiparametric and Multidisciplinary Integration toward a Better Comprehension of Pathophysiological Mechanisms (pages 1–31)

      Sergio Cerutti

    2. Chapter 2

      Data, Signals, and Information: Medical Applications of Digital Signal Processing (pages 33–60)

      Carlo Marchesi, Matteo Paoletti and Loriano Galeotti

  3. Part II: Points of View of the Physiologist and Clinician

    1. Chapter 3

      Methods and Neurons (pages 61–82)

      Gahriele E. M. Biella

    2. Chapter 4

      Evaluation of the Autonomic Nervous System: From Algorithms to Clinical Practice (pages 83–97)

      Maria Teresa La Rovere

  4. Part III: Models and Biomedical Signals

    1. Chapter 5

      Parametric Models for the Analysis of Interactions in Biomedical Signals (pages 99–125)

      Giuseppe Baselli, Alberto Porta and Paolo Bolzern

    2. Chapter 6

      Use of Interpretative Models in Biological Signal Processing (pages 127–152)

      Mauro Ursino

    3. Chapter 7

      Multimodal Integration of EEG, MEG, and Functional MRI in the Study Of Human Brain Activity (pages 153–167)

      Fabio Babiloni, Fahrizio De Vico Fallani and Febo Cincotti

    4. Chapter 8

      Deconvolution for Physiological Signal Analysis (pages 169–198)

      Giovanni Sparacino, Gianluigi Pillonetto, Giuseppe De Nicolao and Claudio Cobelli

  5. Part IV: Time-Frequency, Time-Scale, and Wavelet Analysis

    1. Chapter 9

      Linear Time-Frequency Representation (pages 199–232)

      Maurizio Varanini

    2. Chapter 10

      Quadratic Time-Frequency Representation (pages 233–257)

      Luca Mainardi

    3. Chapter 11

      Time-Variant Spectral Estimation (pages 259–288)

      Anna M. Bianchi

  6. Part V: Complexity Analysis and Nonlinear Methods

    1. Chapter 12

      Dynamical Systems and Their Bifurcations (pages 291–325)

      Fabio Dercole and Sergio Rinaldi

    2. Chapter 13

      Fractal Dimension: From Geometry to Physiology (pages 327–346)

      Rita Balocchi

    3. Chapter 14

      Nonlinear Analysis of Experimental Time Series (pages 347–378)

      Maria Gabriella Signorini and Manuela Ferrario

    4. Chapter 15

      Blind Source Separation: Application to Biomedical Signals (pages 379–409)

      Luca Mesin, Aleš Holohar and Roberto Merletti

    5. Chapter 16

      Higher Order Spectra (pages 411–426)

      Giovanni Calcagnini and Federica Censi

  7. Part VI: Information Processing of Molecular Biology Data

    1. Chapter 17

      Molecular Bioengineering and Nanobioscience: Data Analysis and Processing Methods (pages 427–441)

      Carmelina Ruggiero

    2. Chapter 18

      Microarray Data Analysis: General Concepts, Gene Selection, and Classification (pages 443–471)

      Riccardo Bellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo, Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi and Gianna Toffolo

    3. Chapter 19

      Microarray Data Analysis: Gene Regulatory Networks (pages 473–488)

      Riccardo Bellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo, Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi and Gianna Toffolo

    4. Chapter 20

      Biomolecular Sequence Analysis (pages 489–507)

      Linda Pattini and Sergio Cerutti

  8. Part VII: Classification and Feature Extraction

    1. Chapter 21

      Soft Computing in Signal and Data Analysis: Neural Networks, Neuro-Fuzzy Networks, and Genetic Algorithms (pages 509–549)

      Giovanni Magenes, Francesco Lunghi and Stefano Ramat

    2. Chapter 22

      Interpretation and Classification of Patient Status Patterns (pages 551–570)

      Matteo Paoletti and Carlo Marchesi

    1. You have free access to this content
      Index (pages 571–576)

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      IEEE Press Series in Biomedical Engineering (pages 577–578)

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