Advanced Biosignal Processing / Edition 1
  • Advanced Biosignal Processing / Edition 1
  • Advanced Biosignal Processing / Edition 1

Advanced Biosignal Processing / Edition 1

by Amine Nait-Ali
     
 

ISBN-10: 3540895051

ISBN-13: 9783540895053

Pub. Date: 03/01/2009

Publisher: Springer Berlin Heidelberg

Through 17 chapters, this book presents the principle of many advanced biosignal processing techniques. After an important chapter introducing the main biosignal properties as well as the most recent acquisition techniques, it highlights five specific parts which build the body of this book. Each part concerns one of the most intensively used biosignals in the

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Overview

Through 17 chapters, this book presents the principle of many advanced biosignal processing techniques. After an important chapter introducing the main biosignal properties as well as the most recent acquisition techniques, it highlights five specific parts which build the body of this book. Each part concerns one of the most intensively used biosignals in the clinical routine, namely the Electrocardiogram (ECG), the Elektroenzephalogram (EEG), the Electromyogram (EMG) and the Evoked Potential (EP). In addition, each part gathers a certain number of chapters related to analysis, detection, classification, source separation and feature extraction. These aspects are explored by means of various advanced signal processing approaches, namely wavelets, Empirical Modal Decomposition, Neural networks, Markov models, Metaheuristics as well as hybrid approaches including wavelet networks, and neuro-fuzzy networks.

The last part, concerns the Multimodal Biosignal processing, in which we present two different chapters related to the biomedical compression and the data fusion.

Instead organising the chapters by approaches, the present book has been voluntarily structured according to signal categories (ECG, EEG, EMG, EP). This helps the reader, interested in a specific field, to assimilate easily the techniques dedicated to a given class of biosignals. Furthermore, most of signals used for illustration purpose in this book can be downloaded from the Medical Database for the Evaluation of Image and Signal Processing Algorithm. These materials assist considerably the user in evaluating the performances of their developed algorithms.

This book is suited for final year graduate students, engineers and researchers in biomedical engineering and practicing engineers in biomedical science and medical physics.

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Product Details

ISBN-13:
9783540895053
Publisher:
Springer Berlin Heidelberg
Publication date:
03/01/2009
Edition description:
2009
Pages:
378
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Preface: Amine Naït-Ali

Chapter 1: Biosignals: acquisition and general properties
Amine Naït-Ali and Patrick Karasinski

Chapter 2: Extraction of ECG characteristics using source separation techniques
Vicente Zarzozo

Chapter 3: ECG processing for exercise test
Olivier Meste, Hervé Rix and Grégory Blain

Chapter 4: Statistical models based ECG classification
Rodrigo Varejão Andreão1, Jérôme Boudy, Bernadette Dorizzi, Jean-Marc Boucher and Salim Graja

Chapter 5: Newborn Seizure Detection Using both the ECG and EEG via the Heart Rate Variability Time-Frequency Analysis
Mostefa Mesbah, Boualem Boashash and Malarvili Balakrishnan

Chapter 6: Adaptive tracking of EEG frequency components
Laurent Uldry, Cédric Duchêne, Yann Prudat, Micah M. Murray, Jean-Marc Vesin

Chapter 7: From EEG signals to brain connectivity: methods and applications in epilepsy
Lotfi Senhadji, K. Ansari-Asl and F. Wendling

Chapter 8: Neural Network approaches for EEG classification
Amitava Chatterje, Amine Naït-Ali and Patrick Siarry

Chapter 9: Analysis of event-related potentials using wavelet networks
Hartmut Heinrich and Hartmut Dickhaus

Chapter 10: Detection of evoked potentials
Peter Husar

Chapter 11: Visual Evoked Potential Analysis Using Adaptive Chirplet Transform
Jie Cui1 and Willy Wong

Chapter 12: EMG analysis: time-frequency based techniques
Mohamad Khalil, Marwa Chendeb, Mohamad Diab, Catherine Marque and Jacques Duchêne

Chapter 13: Pattern Classification Techniques for EMG Decomposition
Sarbast Rasheed and Dan Stashuk

Chapter 14: Parametrical modeling of some biosignals using optimization metaheuristics
Amir Nakib, Amine. Naït-Ali, Virginie Van Wassenhove and Patrick Siarry

Chapter 15: Nonlinear analysis of physiological time series
Anisoara Ionescu and Kamiar Aminian

Chapter 16: Biomedical data processing using HHT: a review
Ming-Chya Wu and Norden Huang

Chapter 17: Multimodal compression of biomedical data
Amine Naït-Ali, Emre Zeybek and Xavier Drouot

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