Epileptic seizures happen because of neuronal disorder that produces an unusual pattern of
brain signals. Automatic seizure detection has proved to be a challenging task, for both long …

Epilepsy is a critical neurological disorder with critical influences on the way of living of its
victims and prominent features such as persistent convulsion periods followed by …

Aiming at the problems of low accuracy, poor universality and functional singleness for
seizure detection, an effective approach using wavelet-based non-linear analysis and …

Epilepsy is a neurobiological disease caused by abnormal electrical activity of the human
brain. It is important to detect the epileptic seizures to help the epileptic patients. Using brain …

Epilepsy is one of the most common central nervous system disorders. Epileptic people
suffer from recurrent seizures depending on many trigger factors such as genetic …

The analysis of EEG signal is a relevant problem in health informatics, and its development
can help in detection of epileptic's seizures. The diagnosis is based on classification of EEG …

In this work, a framework is provided for identifying intracranial electroencephalography
(iEEG) seizures based on discrete wavelet transform (DWT) analysis of iEEG signals using …

EEG (Electroencephalogram) is a technique for identifying neurological disorders. There are
various neurological disorders like Epilepsy, brain cancer, etc. Feature extraction and …

Epilepsy is a common neural abnormality of the nervous system, which is constituted by
recurring abnormalities, and humans with their class often suffered from disgrace and …

This paper presents a novel technique for detection of electroencephalogram (EEG) signals
based on discrete wavelet transform (DWT) and Teager-Kaiser energy operator (TKEO). In …