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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Paperback (14 Feb 2019)

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Publisher's Synopsis

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field.

This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification.

Book information

ISBN: 9780128174265
Publisher: Elsevier Science
Imprint: Academic Press
Pub date:
DEWEY: 616.853075
DEWEY edition: 23
Language: English
Number of pages: 134
Weight: 220g
Height: 153mm
Width: 229mm
Spine width: 9mm