The brain is made up of billions of neurons, which control all actions performed by us. In
epilepsy, the pattern order of brain signals is altered, causing epileptiform discharges in an …

Electric activity of brain gets disturbed prior to epileptic seizure onset. Early prediction of an
upcoming seizure can help to increase effectiveness of antiepileptic drugs. The scalp …

People with epilepsy have many difficulties as a result of this complicated brain condition,
which is typified by frequent convulsions. Symptoms of these seizures include bizarre …

This study investigates the properties of the brain electrical activity from different recording
regions and physiological states for seizure detection. Neurophysiologists will find the work …

Electroencephalography (EEG) is a widely used and significant technique for aiding in
epilepsy diagnosis and investigating the electrical patterns of the human brain. Due to the …

Around 50 million individuals worldwide suffer from epilepsy, a chronic, non-communicable
brain disorder. Several screening methods, including electroencephalography, have been …

Electroencephalogram (EEG) is one of the most commonly used tools for epilepsy detection.
In this paper we have presented two methods for the diagnosis of epilepsy using machine …

Epilepsy is a well-recognized neurological illness which affects millions of people
worldwide. This illness has long been considered important in biomedical research because …

In this work, we proposed a versatile signal processing and analysis framework for
Electroencephalogram (EEG). Within this framework the signals were decomposed into the …

Epilepsy is a type of neurological disorder that is associated with recurrent seizures. This
study aimed to present three machine learning methods for predicting epileptic seizures …