Epilepsy is a central nervous system (CNS) disorder that affects nerve cells in the brain and
produces seizures in which consciousness is lost. People with epilepsy have frequent …

High performance in the epileptic electroencephalogram (EEG) signal classification is an
important step in diagnosing epilepsy. Furthermore, this classification is carried out to …

The electroencephalogram (EEG) signal plays a key role in the diagnosis of epilepsy. This
study describes an automated classification of EEG signal for the detection of Epilepsy …

Electroencephalogram (EEG) has established itself as an important means of identifying and
analyzing epileptic seizure activity in humans. In most cases, identification of the epileptic …

ABSTRACT Objectives: An Electroencephalogram (EEG) is the result of co-operative actions
performed by brain cells. In other words, it can be defined as the time course of extracellular …

Epilepsy disease is one of the most prevalent neurological disorders caused by malfunction
of large symptoms number of neurons. That's lead us to propose an automated approach to …

Epilepsy is a neurobiological disease caused by abnormal electrical activity of the human
brain. It is important to detect the epileptic seizures to help the epileptic patients. Using brain …

In this study, it has been intended to analyze Electroencephalography (EEG) signals by
Wavelet Transform (WT) for diagnosis of epilepsy, to employ various Artificial Neural …

Signals of the Electroencephalogram (EEG) can reflect the electrical background activity of
the brain generated by the cerebral cortex nerve cells. This has been the mostly utilized …

Epilepsy is a common neurological disorder characterized by the recurrence of seizures,
which can significantly impact the lives of patients. Electroencephalography (EEG) can …