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Bioelectrical Signal Processing in Cardiac and Neurological Applications - 1st Edition - ISBN: 9780124375529, 9780080527925

Bioelectrical Signal Processing in Cardiac and Neurological Applications

1st Edition

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Authors: Leif Sörnmo Pablo Laguna
Hardcover ISBN: 9780124375529
Paperback ISBN: 9781493301454
eBook ISBN: 9780080527925
Imprint: Academic Press
Published Date: 15th June 2005
Page Count: 688
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Table of Contents


  1. Introduction
  2. 1 Biomedical Signal Processing: Objectives and Contexts
  3. 2 Basics of Bioelectrical Signals
  4. 3 Signal Acquisition and Analysis
  5. 4 Performance Evaluation
  6. The Electroencephalogram – A Brief Background
  7. 1 The Nervous System
  8. 2 The EEG – Electrical Activity Measured on the Scalp
  9. 3 Recording Techniques
  10. 4 EEG Applications
  11. EEG Signal Processing
  12. 1 Modeling the EEG Signal
  13. 2 Artifacts in the EEG
  14. 3 Nonparametric Spectral Analysis
  15. 4 Model-based Spectral Analysis
  16. 5 EEG Segmentation
  17. 6 Joint Time-Frequency Analysis
  18. Evoked Potentials
  19. 1 Evoked Potential Modalities
  20. 2 Noise Characteristics
  21. 3 Noise Reduction by Ensemble Averaging
  22. 4 Noise Reduction by Linear Filtering
  23. 5 Single-Trial Analysis Using Basic Functions
  24. 6 Adaptive Analysis Using Basis Functions
  25. 7 Wavelets
  26. The Electromyogram
  27. 1 The Electrical Activity of Muscles
  28. 2 Amplitude Estimation in the Surface EMG
  29. 3 Spectral Analysis of the Surface EMG
  30. 4 Conduction Velocity Estimation
  31. 5 Modeling the Intramuscular EMG
  32. 6 Intramuscular EMG Signal Decomposition
  33. The Electrocardiogram – A Brief Background
  34. 1 Electrical Activity of the Heart
  35. 2 Generation and Recording of an ECG
  36. 3 Heart Rhythms
  37. 4 Heartbeat Morphologies
  38. 5 Noise and Artifacts
  39. 6 Clinical Applications
  40. ECG Signal Processing
  41. 1 Baseline Wander
  42. 2 Powerline Interference (50/60 Hz)
  43. 3 Muscle Noise Filtering
  44. 4 QRS Detection
  45. 5 Wave Delineation
  46. 6 Data Compression
  47. ECG Signal Processing: Heart Rate Variability
  48. 1 Acquisition and RR Interval Conditioing
  49. 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


The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications–the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers.

Key Features

  • A problem-driven, interdisciplinary presentation of biomedical signal processing
  • Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG)
  • Covers both classical and recent signal processing techniques
  • Emphasis on model-based statistical signal processing
  • Comprehensive exercises and illustrations
  • Extensive bibliography


Biomedical Engineers, Electrical Engineers, Signal Processing Engineers, Electrocardiologists and other medical professionals involved in biomedical engineering research and biomedical instrument/device development.


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© Academic Press 2005
15th June 2005
Academic Press
Hardcover ISBN:
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About the Authors

Leif Sörnmo

Affiliations and Expertise

Department of Electrical Engineering, Lund University Lund, Sweden

Pablo Laguna

Affiliations and Expertise

Department of Electrical Engineering and Aragon Institute of Engineering Research, Zaragoza University, Zaragoza, Spain.