Classification of electroncephao-graph signals by convolutional neural network
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.
PublisherUiT Norges arktiske universitet
UiT The Arctic University of Norway
The following license file are associated with this item: