Classification of Normal and Epileptic EEG Signals Using Adaptive Neuro-Fuzzy Network Based on Time Series Prediction
Hossein Komijani, Armin Nabaei, Houman Zarrabi · Neuroscience and Biomedical Engineering · 2017
Background: Epilepsy is one of the brain illnesses known as epileptic seizures which occurs because of the disruption of the electrical communication between neurons. Epilepsy causes abnormalities in electroencephalogram (EEG) signals. Therefore, with observing and declaring the relevant abnormalities in EEG signals, the Epilepsy would be recognized. Keywords: Classification, electroencephalography (EEG), epileptic, adaptive neuro-fuzzy network (ANFIS).