The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …

Epilepsy is a neurological disorder with prevalence of about 1-2% of the world's population
(Mormann, Andrzejak, Elger & Lehnertz, 2007). It is characterized by sudden recurrent and …

This paper addresses the prediction of epileptic seizures from the online analysis of EEG
data. This problem is of paramount importance for the realization of monitoring/control units …

Interictal high-frequency oscillations over 200 Hz have been recorded with microelectrodes
in the seizure onset zone of epileptic patients suffering from mesial temporal lobe epilepsy …

Brain interictal epileptiform discharges (IEDs), as one of the hallmarks of epileptic brain, are
transient events captured by electroencephalogram (EEG). IEDs are generated by seizure …

There exist significant clinical and basic research needs for accurate, automated seizure
detection algorithms. These algorithms have translational potential in responsive …

In this paper, a wavelet-based neural network (WNN) classifier for recognizing EEG signals
is implemented and tested under three sets EEG signals (healthy subjects, patients with …

We describe a strategy to automatically identify epileptiform activity in 18-channel human
electroencephalogram (EEG) based on a multi-resolution, multi-level analysis. The signal on …

Electroencephalography (EEG) has an important role in the diagnosis and classification of
epilepsy. It can provide information for predicting the response to antiseizure drugs and to …

Objective. Epilepsy is one of the most common brain disorders. For epilepsy diagnosis or
treatment, the neurologist needs to observe epileptic spikes from electroencephalography …