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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Provides the knowledge necessary to classify EEG brain signals for the detection of epileptic seizures using machine learning techniques

Sandeep Kumar Satapathy (Author), Satchidananda Dehuri (Author), Alok Kumar Jagadev (Author), Shruti Mishra (Author)

9780128174265

Paperback, published 14 February 2019

134 pages
22.9 x 15.1 x 1 cm, 0.45 kg

Approx.126 pages

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

Subject Areas: Other manufacturing technologies [TDP], Biotechnology [TCB]

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