Cerutti / Marchesi Advanced Methods of Biomedical Signal Processing

1. Auflage 2011
ISBN: 978-1-118-00772-3
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 608 Seiten, E-Book

Reihe: IEEE Press Series on Biomedical Engineering

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.

Autoren/Hrsg.

Cerutti, Sergio

Marchesi, Carlo

Inhaltsverzeichnis

Preface.
Contributors.
Part I. Fundamentals of Biomedical Signal Processing andIntroduction to Advanced Methods.
1. Methods of Biomedical Signal Processing.
Multiparametric and Multidisciplinary Integration toward aBetter Comprehension of Pathophysiological Mechanisms (SergioCerutti).
2. Data, Signals, and Information.
Medical Applications of Digital Signal Processing (CarloMarchesi, Matteo Paoletti, and Loriano Galeotti).
Part II. Points of View of the Physiologist andClinician.
3. Methods and Neurons (Gabriele E. M.Biella).
4. Evaluation of the Autonomic Nervous System.
From Algorithms to Clinical Practice (Maria Teresa LaRovere).
Part III. Models and Biomedical Signals.
5. Parametric Models for the Analysis of Interactions inBiomedical Signals (Giuseppe Baselli, Alberto Porta, andPaolo Bolzern).
6. Use of Interpretative Models in Biological SignalProcessing (Mauro Ursino).
7. Multimodal Integration of EEG, MEG, and Functional MRI inthe Study of Human Brain Activity (Fabio Babiloni, FabrizioDe 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 WaveletAnalysis.
9. Linear Time-Frequency Representation (MaurizioVaranini).
10. Quadratic Time-Frequency Representation (LucaMainardi).
11. Time-Variant Spectral Estimation (Anna M.Bianchi).
Part V. Complexity Analysis and Nonlinear Methods.
12. Dynamical Systems and Their Bifurcations (FabioDercole 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, AleSHolobar, and Roberto Merletti).
16. Higher Order Spectra (Giovanni Calcagnini and FedericaCensi).
Part VI. Information Processing of Molecular BiologyData.
17. Molecular Bioengineering and Nanobioscience.
Data Analysis and Processing Methods (CarmelinaRuggiero).
18. Microarray Data Analysis.
General Concepts, Gene Selection, and Classification (RicardoBellazzi, Silvio Bicciato, Claudio Cobelli, Barbara Di Camillo,Fulvia Ferraazzi, Paolo Magni, Licia Sacchi, and GiannaToffolo).
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 andSergio 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 StatusPatterns (Matteo Paoletti and Carlo Marchesi).
Index.
IEEE Press Series in Biomedical Engineering.

Über Autor(innen)

Sergio Cerutti, PhD, is Chairman of the BiomedicalEngineering 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 ofBiomedical Engineering. He is the Co-Chair of the SteeringCommittee of the International IEEE-EMBS Summer Schools onBiomedical Signal Processing.
Carlo Marchesi, PhD, is Professor of BiomedicalEngineering at the University of Florence, Italy. A Co-Chair of theItalian Summer School on Biomedical Signal Processing, Dr.Marchesi's research interests include the application of computerscience to medicine, data mining, and assistive technology to aidthe disabled.