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 …

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …

Background Epilepsy is one of the most common neurological conditions globally, and the
fourth most common in the United States. Recurrent non-provoked seizures characterize it …

Introduction In the clinical setting, it becomes increasingly important to detect epileptic
seizures automatically since it could significantly reduce the burden for the care of patients …

Epilepsy is a complex neurological condition that affects a large number of people
worldwide. Electroencephalography (EEG) measures the electrical activity of the brain and …

This paper proposes a new method for epileptic seizure detection in
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …

Epilepsy is one of the most common neurological disorder diseases all over the world, which
gives patients a huge burden in seizure-related disabilities. For epileptic seizure detection …

The EEG is one of the main medical instruments used by clinicians in the analysis and
diagnosis of epilepsy through visual observations or computers. Visual inspection is difficult …

Epilepsy is a neurological disorder characterized by seizures, which are caused by a
sudden, uncontrollable electrical disturbance in the brain. Recently, machine learning and …

Epilepsy is a serious neurological disorder that results in seizures. It can be diagnosed by
analyzing the brain's electrical activity using an electroencephalogram (EEG). However, the …