The recording of seizures is of primary interest in the evaluation of epileptic patients. Seizure
is the phenomenon of rhythmicity discharge from either a local area or the whole brain and …

Epileptic seizures are manifestations of epilepsy, which is a serious brain dynamic disorder.
The analysis of the electroencephalographic (EEG) recordings provides valuable insight …

We present a new technique for detection of epileptiform activity in EEG signals. After
preprocessing of EEG signals we extract representative features in time, frequency and time …

The detection of recorded epileptic seizure activity in EEG segments is crucial for the
localization and classification of epileptic seizures. However, since seizure evolution is …

Abstract Background and Objectives Nowadays, an automated computer-aided diagnosis
(CAD) is an approach that plays an important role in the detection of health issues. The main …

This study concerns the detection of epileptic seizures from electroencephalogram (EEG)
data using computational methods. Using short sliding time windows, a set of features is …

Epilepsy is a chronic neurological disorder. Epileptics are prone to sudden seizures that
cause disruptions in their daily lives. The separation of epileptic and non-epileptic activity on …

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 …

Epilepsy is a chronic chaos of the central nervous system that influences individual's daily
life by putting it at risk due to repeated seizures. Epilepsy affects more than 2% people …

The automatic seizure detection system can effectively help doctors to monitor and diagnose
epilepsy thus reducing their workload. Many outstanding studies have given good results in …