EAN: 9783960670995

COMPREHENSIVE ANALYSIS OF EXTREME LEARNING MACH...

Epilepsy is a common and diverse set of chronic neurological disorders characterized by
seizures. It is a paroxysmal behavioral spell generally caused by an excessive disorderly
discharge of cortical nerve cells of the brain. Epilepsy is marked by the term epileptic
seizures. Epileptic seizures result from abnormal  excessive or hyper-synchronous neuronal
activity in the brain. About 50 million people worldwide have epilepsy  and nearly 80% of
epilepsy occurs in developing countries. The most common way to interfere with epilepsy is to
analyse the EEG (electroencephalogram) signal which is a non-invasive  multi channel recording
of the brain's electrical activity. It is also essential to classify the risk levels of
epilepsy so that the diagnosis can be made easier. This study investigates the possibility of
Extreme Learning Machine (ELM) and Continuous GA as a post classifier for detecting and
classifying epilepsy of various risk levels from the EEG signals. Singular Value Decomposition
(SVD)  Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are used for
dimensionality reduction.

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