Publisher description for EEG signal processing / Saeid Sanei and Jonathon Chambers.


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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 modeling are reviewed, such as restoration, enhancement, segmentation, and the removal of different internal and external artifacts from the EEG and ERP signals._ The following chapters review seizure detection and prediction, including chaotic behavior 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 noninvasive 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.


Library of Congress subject headings for this publication:
Electroencephalography.
Signal processing.
Electroencephalography -- methods.
Evoked Potentials.
Signal Processing, Computer-Assisted.