Epilepsy is a complex neurological disorder characterized by recurrent and unpredictable
seizures that affect millions of people around the world. Early and accurate epilepsy …

Epilepsy is a chronic disorder that causes unprovoked, recurrent-seizures. Characteristic
spikes are often observed in the electroencephalogram (EEG) of epileptic patients in order …

The use of feature extraction and selection from EEG signals has shown to be useful in the
detection of epileptic seizure segments. However, these traditional methods have more …

Epilepsy is a neurological disorder that affects approximately fifty million people according to
the World Health Organization. While electroencephalography (EEG) plays important roles …

Electroencephalogram (EEG) used to record the electrical activity of the brain is a standout
amongst the most helpful tools which are utilized in the diagnosis of neurological disorders …

Automatic seizure detection is significant for the diagnosis of epilepsy and reducing the
massive workload of reviewing continuous EEGs. In this work, a novel approach, combining …

Electroencephalography (EEG) is considered as a potential tool for diagnosis of epilepsy in
clinical applications. Epileptic seizures occur irregularly and unpredictably. Its automatic …

The manual review of an electroencephalogram (EEG) for seizure detection is a laborious
and error-prone process. Thus, automated seizure detection based on machine learning has …

Epilepsy is the second most popular neurological disorder affecting 65 million people
around the world. Seizures are classified into two kinds; focal and generalized ictal activities …

Deep learning for the automated detection of epileptic seizures has received much attention
during recent years. In this work, one dimensional convolutional neural network (1D-CNN) …