|  | Cerutti, Sergio / Marchesi, Carlo (Hrsg.)
Advanced Methods of Biomedical Signal Processing
IEEE Press Series on Biomedical Engineering
 1. Auflage Mai 2011
95,90 Euro
2011. 608 Seiten, Hardcover
ISBN 978-0-470-42214-4 - John Wiley & Sons
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| Kurzbeschreibung
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. 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; and classification and parameter enhancement. Graduate and PhD students in engineering and physics courses and research professionals in biological sciences will highly benefit.
Aus dem Inhalt
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, Alea 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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