Using a 1D CNN for detecting epilepsy has shown promising results in accurately detecting seizures by capturing temporal features in the data.And checking the detection with other models to find the ...

Analysis of EEG is the primary method for diagnosis of epilepsy. In this paper discrete wavelet transform is used for the time-frequency analysis of EEG signal. Using discrete wavelet transform, EEG ...

Since the manual detection and monitoring of electrographic seizures in continuous EEG is very time-consuming and requires a trained expert, so attempting to develop an automatic seizure detection is ...

In the automatic detection of epileptic seizures, the monitoring of critically ill patients with time varying EEG signals is an essential procedure in intensive care units. There is an increasing ...

World health organization (WHO) estimated that more than 50 million people worldwide suffer from epilepsy. Although electroencephalogram (EEG) signals contain vital physiological and pathological ...