The book aims at describing new techniques and outcomes in electroencephalogram (EEG) research mainly in analysis, processing and decision making about various brain states, abnormalities, and disorders by means of advance signal processing and machine learning techniques respectively.

About the Author:

Saeid Sanei, PhD, DIC, FBCS, is Professor of Signal Processing and Machine Learning at Nottingham Trent University, UK, and a Visiting Professor at Imperial College London, UK. He received his doctorate in Biomedical Signal and Image Processing from Imperial College London in 1991. He is an internationally renowned expert in signal processing, biomedical signal processing, and pattern recognition.

Jonathon A. Chambers, FREng, FIEEE, DSc (Imperial), is Emeritus Professor of Signal and Information Processing within the College of Science and Engineering at the University of Leicester, UK. His research interests are focused upon adaptive signal processing and machine learning and their application in biomedicine, communications, defense, and navigation systems.

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Eeg Signal Processing and Machine Learning

Sanei, Saeid; Chambers, Jonathon A.

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