Bioelectrical Signal Processing in Cardiac and Neurological Applications

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.

A problem-driven, interdisciplinary presentation of biomedical signal processingFocus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG)Covers both classical and recent signal processing techniquesEmphasis on model-based statistical signal processingComprehensive exercises and illustrationsExtensive bibliography

Chapter 1. Introduction
Chapter 2. The Electroencephalogram
Chapter 3. EEG Signal Processing
Chapter 4. Evoked Potentials
Chapter 5. The Electromyogram
Chapter 6. The Electrocardiogram
Chapter 7. ECG Signal Processing
Chapter 8. Heart Rate Variability
Appendices
Problems