Diagnosis of epilepsy in patients based on the classification of EEG signals using fast fourier transform

Abstract

The brain signals of human or animal is recorded from many sensors placed on the scalp, called EEG signals. Based on this signal, many brain diseases which occur in human and animal is simply found and prevented. A popular brain disease is epileptic seizure. Nowadays, many scientists use the different methods to recognize abnormal activities of the brain functionality, thence diagnosis of epilepsy is easier. In this paper, we propose a way to detect seizure in human. Fast Fourier transform is used to convert the EEGs signals into the simpler form, remove some noises and get better features.