Deep learning has served pattern classification in many applications, with a performance which often well exceeds that of other machine paradigms. Yet, general, deep used computational architectures built, albeit partially, by ad hoc means, and its decisions are not necessarily interpretable terms knowledge relevant to the application it serves. This is referred as black box problem, certain su...

Epilepsy is one of the most prevalent neurological diseases among humans and can lead to severe brain injuries, strokes, tumors. Early detection seizures help mitigate be used aid treatment patients with epilepsy. The purpose a seizure prediction system successfully identify pre-ictal stage, which occurs before event. Patient-independent models are designed offer accurate performance across mul...

PURPOSE To investigate whether serial electroencephalographic (EEG) findings can predict relapse of epileptic spasms after synthetic adrenocorticotropic hormone (ACTH) therapy in patients with West syndrome (WS). SUBJECTS AND METHODS Thirty-nine WS patients (8 cryptogenic and 31 symptomatic) were included in this study. These patients received ACTH therapy for the first time and were regularl...

Background: Epilepsy is a Brain disorder disease that affects people's quality of life. If it is diagnosed at an early stage, it will not be spread. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. However, this screening system cannot diagnose epileptic seizure states precisely. Nevertheless, with the help of computer-aided diagnosis systems (CADS), neurologists ca...

Background and Objective: Temporal lobe epilepsy is hallmarked with neuronal degeneration in some areas of hippocampus and mossy fiber sprouting in dentate area. Considering some evidences on neuroprotective and antioxidant activity of silymarin (SM), this study was undertaken to evaluate the preventive effect of this agent on structural changes in hippocampus of kainate-epileptic rats. Materia...

Epilepsy is a debilitating and potentially life-threatening neurological condition which affects approximately 65 million people worldwide. There currently no reliable simple early warning seizure-onset device available, means many with unstable epilepsy live in fear of injury or sudden death the negative impact social stigmatization. If anecdotal claims that untrained dogs anticipate seizures ...

Recently, many researchers have deployed different deep learning techniques to predict epileptic seizure, using electroencephalogram signals. However, most of this research requires very large amounts memory and complicated feature extraction algorithms. In addition, they could not precisely examine EEG signal characteristics, which led poor prediction performance. research, a non-patient-speci...