Epilepsy stands out as one of the common neurological diseases. The neural activity of the
brain is observed using electroencephalography (EEG), which allows the diagnosis of …

Abstract While Deep Learning (DL) is often considered the state-of-the art for Artificial Intel-
ligence-based medical decision support, it remains sparsely implemented in clinical practice …

Introduction: The diagnosis of epilepsy takes a certain process, depending entirely on the
attending physician. However, the human factor may cause erroneous diagnosis in the …

Electroencephalography is the recording of brain electrical activities that can be used to
diagnose brain seizure disorders. By identifying brain activity patterns and their …

Detecting brain disorders using deep learning methods has received much hype during the
last few years. Increased depth leads to more computational efficiency, accuracy, and …

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 …

Electroencephalography (EEG) signals denote the electric activities of the brain. They are
measured in microvolt (μV). There are various methods for the collection of raw data from …

Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in
combination with deep learning computational methods has received much attention in …

Epilepsy is a life-threatening and challenging neurological disorder, which is affecting a
large number of people all over the world. For its detection, encephalography (EEG) is a …

Background The identification of seizure and its complex waveforms in
electroencephalography (EEG) through manual examination is time consuming, tedious …