Classification of electroncephao-graph signals by convolutional neural network

Abstract

This thesis presents a brief introduction to epilepsy diagnosis use convolution neutral network. The datasets create through Electroencephao-graph(EEG) signal.Electroencephao-graph(EEG) is one of the most commonly signals recorded from humans like electrocardiogram(ECG). In this thesis give a short introduce about the EEG signal. Because EEG recordings are important in the diagnosis of epilepsy. But there is not a good way to classification these EEG signal. This paper aims to develop epileptic EEG signal classification method.