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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
ISBN-13:
9780128174272
Veröffentl:
2019
Seiten:
134
Autor:
Sandeep Kumar Satapathy
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
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.
1. Introduction 2. Literature survey 3. Empirical study on the performance of the classifiers in EEG classification 4. EEG signal classification using RBF neural network trained with improved PSO algorithm for epilepsy identification 5. ABC optimized RBFNN for classification of EEG signal for epileptic seizure identification 6. Conclusion and future research
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