Nonlinear Biomedical Signal Processing, Volume 1: Fuzzy Logic, Neural Networks, and New AlgorithmsISBN: 978-0-7803-6011-2
Hardcover
276 pages
August 2000, Wiley-IEEE Press
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For the first time, eleven experts in the fields of signal
processing and biomedical engineering have contributed to an
edition on the newest theories and applications of fuzzy logic,
neural networks, and algorithms in biomedicine. Nonlinear
Biomedical Signal Processing, Volume I provides comprehensive
coverage of nonlinear signal processing techniques. In the last
decade, theoretical developments in the concept of fuzzy logic have
led to several new approaches to neural networks. This compilation
delivers plenty of real-world examples for a variety of
implementations and applications of nonlinear signal processing
technologies to biomedical problems. Included here are discussions
that combine the various structures of Kohenen, Hopfield, and
multiple-layer "designer" networks with other approaches to produce
hybrid systems. Comparative analysis is made of methods of genetic,
back-propagation, Bayesian, and other learning algorithms.
Topics covered include:
- Uncertainty management
- Analysis of biomedical signals
- A guided tour of neural networks
- Application of algorithms to EEG and heart rate variability signals
- Event detection and sample stratification in genomic sequences
- Applications of multivariate analysis methods to measure glucose concentration