Optimization of Fuzzy Output through Gaussian Mixture Model for Epilepsy Detection.

摘要

ABSTRACT The primary aim of the paper is to optimize the fuzzy output with the help of Gaussian Mixture Model (GMM) for Epilepsy Classification and Detection from EEG Signals. Initially, the fuzzy techniques are incorporated in order to classify the epilepsy risk levels based on extracted parameters like energy, peaks, sharp and spike waves, variance, duration, covariance and events which are obtained from the EEG of the patient. The Gaussian Mixture Model is then implemented on the classified .