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 …

One-fourths of the patients have medication-resistant seizures and require seizure detection
and treatment continuously to cope with sudden seizures. Seizures can be detected by …

Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …

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 scalp electroencephalogram (EEG)-based epileptic seizure/nonseizure detection has
been comprehensively studied, and fruitful achievements have been reported in the past …

Automatic analysis of biomedical time series such as electroencephalogram (EEG) and
electrocardiographic (ECG) signals has attracted great interest in the community of …

Electroencephalogram (EEG) based seizure subtype classification is very important in
clinical diagnostics. However, manual seizure subtype classification is expensive and time …

Electroencephalography is one of the most commonly used methods for extracting
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …

Epileptic seizures during sleep increase the probability of complications and sudden death
in patients. Effective epileptic seizure prediction in sleep can assist doctors (patients) in …

Epilepsy is a brain disorder that many persons of different ages in the world suffer from it.
According to the world health organization, epilepsy is characterized by repetitive seizures …