Electroencephalography (EEG) data, which provides information about the electrical activity of brain, are widely used in diagnosis neurological diseases, EEG signals also provide important detection epilepsy, is one diseases affecting approximately 1% world’s population. In this study, it was aimed to detect epileptic seizure before by using signals. For purpose, after preprocessing steps were ...

SUMMARY We report a case of oligodendroglial hyperplasia detected by using high-resolution high-field MR imaging. This disorder is considered part of the spectrum of cortical migrational abnormalities and is found with increased incidence in patients with epilepsy. Surgery offers the best chance for cure in patients with medically refractory partial complex epilepsy. Accurate localization and d...

Physiologically based models are attractive for seizure detection, as their parameters can be explicitly related to neurological mechanisms. We propose an early seizure detection algorithm based on parameter identification of a neural mass model. The occurrence of a seizure is detected by analysing the time shift of key model parameters. The algorithm was evaluated against the manual scoring of...

A wearable electroencephalogram (EEG) device for continuous monitoring of patients suffering from epilepsy would provide valuable information for the management of the disease. Currently no EEG setup is small and unobtrusive enough to be used in daily life. Recording behind the ear could prove to be a solution to a wearable EEG setup. This article examines the feasibility of recording epileptic...

Abstract Epilepsy is a neurological disease that affects approximately 1% of the world’s population. characterized by occurrence repeated epileptic seizures due to abnormal neuronal activity. Although this disorder currently incurable, it can be controlled for years with appropriate therapy and patient adherence. Inflammation an organism’s natural response pathological stimulus, aimed at elimin...

In recent years humans suffer from various neurological disorders such as headache, dementia, traumatic brain injuries, strokes and epilepsy. Nearly 50 million people of the world population in all ages suffer from epilepsy. To diagnose epilepsy an automatic seizure detection system is an important tool. In this paper we present a new approach for classification of Electroencephalogram (EEG) si...

The burden of comorbidity in people with epilepsy is high. Several diseases, including depression, anxiety, dementia, migraine, heart disease, peptic ulcers, and arthritis are up to eight times more common in people with epilepsy than in the general population. Several mechanisms explain how epilepsy and comorbidities are associated, including shared risk factors and bidirectional relations. Th...

BACKGROUND High-field 3.0 T MR scanners provide an improved signal-to-noise ratio which can be translated in higher image resolution, possibly allowing critical detection of subtle epileptogenic lesions missed on standard-field 1.0-1.5 T MRIs. In this study, the authors explore the potential value of re-imaging at 3.0 T patients with refractory partial epilepsy and negative 1.5 T MRI. METHODS...

In the last couple of years, the EEG signal analysis was focused on epilepsy seizure detection. Epilepsy is a common chronic neurological disorder; they are result of transient and unexpected electrical disturbance of the brain. Epilepsy seizures also a symptom of brain tumor existence, 30% patients with brain tumor are affected with epilepsy seizure. This paper proposes a two level brain tumor...

27 In 2008, a group of clinicians, scientists, engineers, and industry representatives met to discuss advances 28 in the application of engineering technologies to the diagnosis and treatment of patients with epilepsy. 29 The presentations also provided a guide for further technological development, specifically in the evalua30 tion of patients for epilepsy surgery, seizure onset detection and ...