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EEG Signal Processing
John Wiley and Sons Ltd, July 2007, Pages: 304
It begins with an introductory chapter discussing the significance of EEG signal analysis and processing and provides some simple examples. A useful theoretical and mathematical background for analysis and processing of the EEG signals is developed within the next chapter and the mathematical tools to be applied in the rest of the book are covered.
Impressions from the EEG are next discussed, including normal and abnormal EEGs and the neurological symptoms diagnosed. The representations of the EEG’s are illustrated, showing EEGs in various domains together with two-dimensional maps of the brain. Theoretical approaches in EEG modelling are reviewed, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP signals. The following chapters review seizure detection and prediction, including chaotic behaviour of the EEG sources. Symptoms for a number of well-known illnesses such as dementia, schizophrenia, and Alzheimer’s diseases found from the EEG and ERPs are explained. The concluding chapters review the monitoring and diagnosis of stages of psychiatric disorders using non-invasive techniques such as from the EEG/ERP, and a number of high potential future topics for research in the area of EEG signal processing are discussed.
About the Authors:
Dr. Sanei received his PhD from Imperial College of Science, Technology, and Medicine, London, in Biomedical Signal and Image Processing in 1991. His major interest is in biomedical signal and image processing, adaptive and nonlinear signal processing, pattern recognition and classification. He has had a major contribution to Electroencephalogram (EEG) analysis such as epilepsy prediction, cognition evaluation, and brain computer interface (BCI). Currently, he is involved in teaching various undergraduate and postgraduate subjects such as Real-time Signal Processing, Non-linear and Adaptive Signal & Image processing, Intelligent Signal Processing, VHDL based Digital Signal Processing, and Digital Design.
Jonathon Chambers joined the Cardiff School of Engineering in January 2004 and leads a team of researchers involved in the analysis, design and evaluation of new algorithms for digital signal processing with application in acoustics, biomedicine and beyond 3G wireless communications, and is the Director of the Centre of Digital Signal Processing and the Group Leader of the Telecommunications and Information Technology Group.
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