Description

Electroencephalogram (EEG) is a recording of the electrical activity of the brain from the brain waves produced by the electrical current passing through the nerves during the brain activities. The nonlinear features are extracted from the EEG signals such as Approximate Entropy (ApEn), Largest Lyapunov Exponent (LLE), Sample Entropy (SampEn), and four other Higher Order Spectra (HOS) features. Finally Fuzzy Neural Network (FNN) is used for classifying the EEG signal as normal or alcoholic. Based on the FNN can analyze the performance in terms of accuracy, sensitivity and specificity.