Advanced Methods of Biomedical Signal Processing
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.
From the Publisher
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.
From the Back Cover
A complete introduction to the application of advanced signal processing methods to biomedical engineering problems
This 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.
Divided into seven sections, Advanced Methods of Biomedical Signal Processing covers:
The peculiarities of biomedical signal processing with respect to more traditional applications of digital signal processing and their classification
An experimental physiologist's and cardiologist's view of the cardiovascular, central and autonomic nervous systems
An important link between biomedical signal processing and physiological modelling
Time-frequency, time-scale, and wavelet analysis
Advanced methods employed in complexity measurements
Computational genomics and proteomics
Key methods for signal classification, such as neural networks, neuro-fuzzy and genetic algorithms
The 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.
Graduate 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.
- Publisher : Wiley-IEEE Press; 1st edition (20 April 2011)
- Author: Sergio Cerutti, Carlo Marchesi
- Language : English
- Hardcover : 608 pages
- ISBN-10 : 9780470422144
- ISBN-13 : 978-0470422144
- Dimensions : 16.26 x 3.3 x 24.38 cm