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 …

Epileptic seizure is a neurological condition caused by short and unexpectedly occurring
electrical disruptions in the brain. It is estimated that roughly 60 million individuals worldwide …

In this paper, we proposed a Recurrent Neural Network (RNN) for the classification of
epileptic EEG signal. The EEG dataset is first preprocessed using Discrete Wavelet …

Epileptic seizure detection is commonly implemented by expert clinicians with visual
observation of electroencephalography (EEG) signals, which tends to be time consuming …

Epilepsy is a neurological disorder that affects approximately fifty million people according to
the World Health Organization. While electroencephalography (EEG) plays important roles …

Abstract Analysis of electroencephalogram (EEG) signal is crucial due to its non-stationary
characteristics, which could lead the way to proper detection method for the treatment of …

One of the most common neurological disorders is epilepsy, which disturbs the nerve cell
activity in the brain, causing seizures. Electroencephalography (EEG) signals are used to …

Background Epilepsy is a neurological disorder that is usually detected by
electroencephalogram (EEG) signals. Since manual examination of epilepsy seizures is a …

Background Epilepsy is a neurological disease characterized by unprovoked seizures in the
brain. The recent advances in sensor technologies allow researchers to analyze the …

Epilepsy is a common neurological disorder, and epileptic seizure detection is a scientific
challenge since sometimes patient do not experience any alert. The objective of this …