Over the past few years, there has been growing interest in neuro-responsive intracerebral
local treatments of seizures, such as focal drug delivery, focal cooling, or electrical …

Electroencephalography (EEG) is a commonly used clinical approach for the diagnosis of
epilepsy which is a life-threatening neurological disorder. Many algorithms have been …

We present a multistage fuzzy rule‐based algorithm for epileptic seizure onset detection.
Amplitude, frequency, and entropy‐based features were extracted from intracranial …

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 …

Removing the brain part, as the epilepsy source attack, is a surgery solution for those
patients who have drug resistant. So, the epilepsy localization area is an essential step …

In this paper, a comprehensive statistical analysis of electroencephalogram (EEG) signals is
carried out in the dual tree complex wavelet transform domain using a publicly available …

Recent electrophysiological studies support command-specific changes in the
electroencephalography (EEG) that have promoted their intensive application in the …

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 …

In this paper, we propose a new approach to the analysis and modeling of esophageal
manometry (EGM) data to assist the diagnosis of esophageal motility disorders in humans …

In this study, a novel real-time seizure prediction algorithm is introduced to predict epileptic
seizures. The proposed algorithm is expected to be applicable in a noninvasive …