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

Since the manual detection of electrographic seizures in continuous electroencephalogram
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …

Epileptic seizures are a prevalent neurological condition that impacts a considerable portion
of the global population. Timely and precise identification can result in as many as 70% of …

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

Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG) modalities have
been used in several screening procedures to diagnose epileptic seizures with a high-level …

Correctly interpreting an Electroencephalography (EEG) signal with high accuracy is a
tedious and time-consuming task that may take several years of manual training due to its …

Electroencephalography (EEG) is a common tool used for the detection of epileptic seizures.
However, the visual analysis of long-term EEG recordings is characterized by its subjectivity …

Millions of individuals throughout the world suffer from epilepsy, a neurological illness
characterized by frequent seizures. To improve patient safety and quality of life, seizure …

Epilepsy is a complex neurological disorder recognized by abnormal synchronization of
cerebral neurons, named seizures. During the last decades, significant progress has been …

Seizure event detection by manually analyzing electroencephalogram (EEG) data is a
routine process in epilepsy units done by trained professionals. Misdiagnosis of epileptic …