Among the most common paroxysmal neurological conditions is epilepsy. When
spontaneous combustion occurs seizure is a defining feature. An epileptic seizure is caused …

An EEG signal is used for capturing the signals from the brain, which helps in localization of
epileptogenic region, thereby which plays a vital role for a successful surgery. The focal 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 …

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

Electroencephalography (EEG) is a common tool used for the detection of epileptic seizures.
However, the visual analysis of long-term EEG recordings is characterized by its subjectivity …

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 …

The electroencephalogram (EEG) is the frequently used signal to detect epileptic seizures in
the brain. For a successful epilepsy surgery, it is very essential to localize epileptogenic area …

Epilepsy is a common neurological condition which affects the central nerve system that
causes people to have a seizure and can be assessed by electroencephalogram (EEG). A …

Epilepsy is a well-known nervous system disorder characterized by seizures.
Electroencephalograms (EEGs), which capture brain neural activity, can detect epilepsy …

In the present work, we have proposed an automated system to identify focal
electroencephalogram (EEG) signals. The nonlinearity present in the focal (F) and non-focal …