Advanced Biosignal Processing


ISBN: 978-3-540-89505-3 (Print) 978-3-540-89506-0 (Online)
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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvi

  2. Book Chapter

    Pages 1-13

    Biosignals: Acquisition and General Properties

  3. Book Chapter

    Pages 15-47

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

  4. Book Chapter

    Pages 49-69

    ECG Processing for Exercise Test

  5. Book Chapter

    Pages 71-93

    Statistical Models Based ECG Classification

  6. Book Chapter

    Pages 95-121

    Heart Rate Variability Time-Frequency Analysis for Newborn Seizure Detection

  7. Book Chapter

    Pages 123-144

    Adaptive Tracking of EEG Frequency Components

  8. Book Chapter

    Pages 145-164

    From EEG Signals to Brain Connectivity: Methods and Applications in Epilepsy

  9. Book Chapter

    Pages 165-182

    Neural Network Approaches for EEG Classification

  10. Book Chapter

    Pages 183-199

    Analysis of Event-Related Potentials Using Wavelet Networks

  11. Book Chapter

    Pages 201-220

    Detection of Evoked Potentials

  12. Book Chapter

    Pages 221-244

    Visual Evoked Potential Analysis Using Adaptive Chirplet Transform

  13. Book Chapter

    Pages 245-266

    Uterine EMG Analysis: Time-Frequency Based Techniques for Preterm Birth Detection

  14. Book Chapter

    Pages 267-289

    Pattern Classification Techniques for EMG Signal Decomposition

  15. Book Chapter

    Pages 291-305

    Parametric Modeling of Some Biosignals Using Optimization Metaheuristics

  16. Book Chapter

    Pages 307-333

    Nonlinear Analysis of Physiological Time Series

  17. Book Chapter

    Pages 335-352

    Biomedical Data Processing Using HHT: A Review

  18. Book Chapter

    Pages 353-374

    Introduction to Multimodal Compression of Biomedical Data

  19. Back Matter

    Pages 375-378