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Advanced Biosignal Processing

Editors: Nait-Ali, Amine (Ed.)

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  • Concise overview of almost all standard methods
  • Presents latest developments in Biosignal processing
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About this book

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.

Table of contents (17 chapters)

Table of contents (17 chapters)
  • Biosignals: Acquisition and General Properties

    Pages 1-13

    Naït-Ali, Amine (et al.)

  • Extraction of ECG Characteristics Using Source Separation Techniques: Exploiting Statistical Independence and Beyond

    Pages 15-47

    Zarzoso, Vicente

  • ECG Processing for Exercise Test

    Pages 49-69

    Meste, Olivier (et al.)

  • Statistical Models Based ECG Classification

    Pages 71-93

    Andreão, Rodrigo Varejão (et al.)

  • Heart Rate Variability Time-Frequency Analysis for Newborn Seizure Detection

    Pages 95-121

    Mesbah, Mostefa (et al.)

Buy this book

eBook $119.00
price for Mexico (gross)
  • ISBN 978-3-540-89506-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for Mexico
  • ISBN 978-3-540-89505-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for Mexico
  • ISBN 978-3-642-10045-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Biosignal Processing
Editors
  • Amine Nait-Ali
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Distribution Rights
Distribution rights for India: CBS Publishers, New Delhi, India
eBook ISBN
978-3-540-89506-0
DOI
10.1007/978-3-540-89506-0
Hardcover ISBN
978-3-540-89505-3
Softcover ISBN
978-3-642-10045-1
Edition Number
1
Number of Pages
XVI, 378
Number of Illustrations
215 b/w illustrations, 3 illustrations in colour
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