EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Satapathy, Sandeep Kumar/ Dehuri, Satchidananda/ Jagadev, Alok Kumar

Academic Press Inc（2019/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 134 p.
• 言語 ENG
• 商品コード 9780128174265
• DDC分類 616.8047547

Full 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.

Contents

1. Introduction2. Literature survey3. Empirical study on the performance of the classifiers in EEG classification4. EEG signal classification using RBF neural network trained with improved PSO algorithm for epilepsy identification5. ABC optimized RBFNN for classification of EEG signal for epileptic seizure identification6. Conclusion and future research