EEG Brain Signal Classification for Epileptic Seizure Disorder Detection Paperback / softback
by Sandeep Kumar, PhD (Associate Professor, Department of Computer Science & Engineering and Satapathy, Satchidananda (Professor, Department of Information & Communication Technology, Fakir Mohan Dehuri, Alok Kumar (Professor, School of Computer Engineering, Kalinga Institute of Industrial Tech Jagadev, Shruti (Associate Professor, Department of Computer Science & Engineering, Vignana Bharathi Mishra
Paperback / softback
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Description
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.
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:134 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:14/02/2019
- Category:
- ISBN:9780128174265
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:134 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:14/02/2019
- Category:
- ISBN:9780128174265