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Time Frequency and Wavelets in Biomedical Signal Processing

Akay, Metin (Herausgeber)

IEEE Press Series on Biomedical Engineering

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1. Auflage Oktober 1997
768 Seiten, Hardcover
Wiley & Sons Ltd

ISBN: 978-0-7803-1147-3
John Wiley & Sons

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Brimming with top articles from experts in signal processing and
biomedical engineering, Time Frequency and Wavelets in
Biomedical Signal Processing introduces time-frequency,
time-scale, wavelet transform methods, and their applications in
biomedical signal processing. This edited volume incorporates the
most recent developments in the field to illustrate thoroughly how
the use of these time-frequency methods is currently improving the
quality of medical diagnosis, including technologies for assessing
pulmonary and respiratory conditions, EEGs, hearing aids, MRIs,
mammograms, X rays, evoked potential signals analysis, neural
networks applications, among other topics.

Time Frequency and Wavelets in Biomedical Signal
Processing will be of particular interest to signal processing
engineers, biomedical engineers, and medical researchers.

Topics covered include:

* Time-frequency analysis methods and biomedical
applications

* Wavelets, wavelet packets, and matching pursuits and biomedical
applications

* Wavelets and medical imaging

* Wavelets, neural networks, and fractals

List of Contributors.

Preface.

TIME-FREQUENCY ANALYSIS METHODS WITH BIOMEDICAL
APPLICATIONS.

Recent Advances in Time-Frequency Representations:
SomeTheoretical Foundation (W. Williams).

Biological Applications and Interpretations of Time-Frequency
Signal Analysis (W. Williams).

The Application of Advanced Time-Frequency Analysis Techniques
to Doppler Ultrasound (S. Marple, et al.).

Analysis of ECG Late Potentials Using Time-Frequency Methods
(H. Dickhaus & H. Heinrich).

Time-Frequency Distributions Applied to Uterine EMG:
Characterization and Assessment (J. Duchene & D.
Devedeux).

Time-Frequency Analyses of the Electrogastrogram (Z. Lin and
J. Chen).

Recent Advances in Time-Frequency and Time-Scale Methods (C.
Mello & M. Akay).

WAVELETS, WAVELET PACKETS, AND MATCHING PURSUITS WITH
BIOMEDICAL APPLICATIONS.

Fast Algorithms for Wavelet Transform Computation (O. Rioul
& P. Duhamel).

Analysis of Cellular Vibrations in the Living Cochlea Using the
Continuous Wavelet Transform and the Short-Time Fourier Transform
(M. Teich, et al.).

Alterative Processing Method Using Gabor Wavelets and the
Wavelet Transform for the Analysis of Phonocardiogram Signals
(M. Matalgah, et al.).

Wavelet Feature Extraction from Neurophysiological Signals
(M. Sun & R. Sclabassi).

Experiments with Adapted Wavelet De-Noising for Medical Signals
and Images (R. Coifman & M. Wickerhauser).

Speech Enhancement for Hearing Aids (J. Rutledge).

From Continuous Wavelet Transform to Wavelet Packets:
Application to the Estimation of Pulmonary Microvascular Pressure
(M. Karrakchou & M. Kunt).

In Pursuit of Time-Frequency Representation of Brain Signals
(P. Durka & K. Blinowska).

EEG Spike Directors Based on Different Decompositions: A
Comparative Study (L. Senhadji, et al.).

WAVELETS AND MEDICAL IMAGING.

A Discrete Dyadic Wavelet Transform for Multidimensional Feature
Analysis (I. Koren & A. Laine).

Hexagonal QMF Banks and Wavelets (S. Schuler & A.
Laine).

Inversion of the Radon Transform under Wavelet Constraints
(B. Sahiner & A. Yagle).

Wavelets Applied to Mammograms (W. Richardson).

Hybrid Wavelet Transform for Image Enhancement
forComputer-Assisted Diagnosis and Telemedicine Applications (L.
Clarke, et al.).

Medical Image Enhancement Using Wavelet Transform and Arithmetic
Coding (P. Saipetch, et al.).

Adapted Wavelet Encoding in Functional Magnetic Resonance
Imaging (D. Healy, et al.).

A Tutorial Overview of a Stabilization Algorithm for
Limited-Angle Tomography (T. Olson).

Wavelet Compression of Medical Images (A. Manduca).

WAVELETS, NEURAL NETWORKS, AND FRACTALS.

Single Side Scaling Wavelet Frame and Neural Network (Q.
Zhang).

Analysis of Evoked Potentials Using Wavelet Networks (H.
Heinrich & H. Dickhaus).

Self-Organizing Wavelet-Based Neural Networks (K.
Kobayashi).

On Wavelets and Fractal Processes (P. Flandrin).

Fractal Analysis of Heart Rate Variability (R. Fischer &
M. Akay).

Index.

Editor's Biography.
Metin Akay is IEEE Press Series Editor for the IEEE Press Series in Biomedical Engineering, and a member of the IEEE Engineering in Medicine and Biology Society Publication Committee. Dr. Akay has authored Biomedical Signal Processing (Academic Press, 1994); Detection and Estimation of Biomedical Signals (Academic Press, 1996); and coauthored the most recent edition of Theory and Design of Biomedical Instruments (Academic Press, 1991). He has published a number of technical papers in the areas of noninvasive detection of coronary artery disease, early human development, and control of breathing. In addition, Dr. Akay holds two U.S. patents and has given several keynote/plenary and invited talks at international conferences, workshops, and symposiums in these areas.

M. Akay, Dartmouth College, Hanover, New Hampshire