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EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science) (repost)

Posted By: hill0
EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science) (repost)

EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science) by Siuly Siuly
English | 20 Jan. 2017 | ISBN: 3319476521 | 256 Pages | PDF | 7.58 MB

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use.
Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data.