In this paper, a new seizure detection system aimed at assisting in a rapid review of
prolonged intracerebral EEG recordings is described. It is based on quantifying the …

A Teager energy (TE) based approach to discriminate electroencephalogram signals
corresponding to nonseizure (eyes open, eyes closed, or interictal) and seizure (ictal) …

We developed a multi-modal brain imaging system to investigate the relationship between
blood flow, blood oxygenation/volume, intracellular calcium and electrographic activity …

Detection of non-convulsive seizures (NCSz) is a challenging task because they lack
convulsions, meaning no physical visible symptoms are there to detect the presence of a …

Algorithm design for low power platforms is constrained by memory and computational
limitations, and real-world applications demand robust performance. This paper presents …

Most of the automatic seizure detection schemes reported in the literature are complex for
detecting seizures that are of (a) short duration,(b) minimal amplitude evolution, or (c) non …

Epilepsy is one of the most prevalent neurological disorders with no age, racial, social class,
and neither national nor geographic boundaries. There are 50 million sufferers in the world …

The success of an epilepsy treatment, such as resective surgery, relies heavily on the
accurate identification and localization of the brain regions involved in epilepsy for which …

Algorithm design for low power platforms is constrained by memory and computational
limitations, and real-world applications demand robust performance. This paper presents …

The electroencephalogram (EEG) is a widely used traditional procedure for diagnosing,
monitoring and managing neurological disorders. Many artifact types that often contaminate …