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 …

Objective: Validation of epileptic seizures annotations from long-term electroencephalogram
(EEG) recordings is a tough and tedious task for the neurological community. It is a well …

In this study, a new scheme was presented for detecting epileptic seizures from electro-
encephalo-gram (EEG) data recorded from normal subjects and epileptic patients. The new …

Visual inspection of Electroencephalogram (EEG) records is the conventional diagnostic
method of epilepsy but it is expensive, time-consuming and tedious. Therefore, it is …

Epilepsy is the most prevalent neurological disorder in humans after stroke. Recurrent
seizure is the main characteristic of the epilepsy. Electroencephalogram (EEG) is the …

This paper analyzes the underlying complexity and non-linearity of electroencephalogram
(EEG) signals by computing a novel multi-scale entropy measure for the classification of …

There are numerous neurological disorders such as dementia, headache, traumatic brain
injuries, stroke, and epilepsy. Out of these epilepsy is the most prevalent neurological …

This paper has proposed a new method for classification of epileptic seizures based on
weighted multiscale Renyi permutation entropy (WMRPE) and rhythms obtained with Fourier …

Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …

Computer assisted automated detection is highly inevitable for recognizing neurological
disorders, as it involves continuous monitoring of Electroencephalogram (EEG) signal …