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Leif Sörnmo and Pablo Laguna:

Bioelectrical Signal Processing in
Cardiac and Neurological Applications

Elsevier Academic Press, Amsterdam (etc.), 2005. 668 p.

    
     Preface
     1. Introduction 
         1.1 Biomedical Signal Processing: Objectives and Contexts 
         1.2 Basics of Bioelectrical Signals
         1.3 Signal Acquisition and Analysis
         1.4 Performance Evaluation
     2. The Electroencephalogram – A Brief Background 
         2.1 The Nervous System
         2.2 The EEG – Electrical Activity Measured on the Scalp 
         2.3 Recording Techniques
         2.4 EEG Applications
     3. EEG Signal Processing
         3.1 Modeling the EEG Signal 
         3.2 Artifacts in the EEG
         3.3 Nonparametric Spectral Analysis 
         3.4 Model-based Spectral Analysis
         3.5 EEG Segmentation
         3.6 Joint Time-Frequency Analysis 
     4. Evoked Potentials
         4.1 Evoked Potential Modalities 
         4.2 Noise Characteristics
         4.3 Noise Reduction by Ensemble Averaging 
         4.4 Noise Reduction by Linear Filtering
         4.5 Single-Trial Analysis Using Basic Functions 
         4.6 Adaptive Analysis Using Basis Functions
         4.7 Wavelets
     5. The Electromyogram 
         5.1 The Electrical Activity of Muscles 
         5.2 Amplitude Estimation in the Surface EMG 
         5.3 Spectral Analysis of the Surface EMG 
         5.4 Conduction Velocity Estimation 
         5.5 Modeling the Intramuscular EMG 
         5.6 Intramuscular EMG Signal Decomposition 
    
    
    
     6. The Electrocardiogram – A Brief Background 
         6.1 Electrical Activity of the Heart 
         6.2 Generation and Recording of an ECG 
         6.3 Heart Rhythms 
         6.4 Heartbeat Morphologies 
         6.5 Noise and Artifacts 
         6.6 Clinical Applications 
     7. ECG Signal Processing 
         7.1 Baseline Wander 
         7.2 Powerline Interference (50/60 Hz) 
         7.3 Muscle Noise Filtering 
         7.4 QRS Detection 
         7.5 Wave Delineation 
         7.6 Data Compression 
     8. ECG Signal Processing: Heart Rate Variability 
         8.1 Acquisition and RR Interval Conditioing 
         8.2 Time Domain Measures 
         8.3 Heart Rhythm Representations 
         8.4 Spectral Analysis of Heart Rate Variability 
         8.5 Clustering of Beat Morphologies 
         8.6 Dealing with Ectopic Beats 
         8.7 Interaction with Other Physiological Signals 
     Appendix A: Review of Important Concepts 
         A.1 Matrix Fundamentals 
         A.2 Discrete-Time Stochastic Process 
     Appendix B: Symbols and Abbreviations 
         B.1 Mathematical Symbols 
         B.2 Abbreviations 
     Index