Epilepsy is the most common neurological disorder in the world, second only to stroke. There are nearly 15 million patients suffer from refractory epilepsy, with no available therapy. Although most seizures are not life threatening, they are an unpredictable source of annoyance and embarrassment, which will result in unconfident and fear. Prediction of epileptic seizures has a profound effect i...

how to cite this article: namakin k, zardast m, sharifzadeh gh, bidar t, zargarian s. serum trace elements in febrile seizure: a case-control study. iran j child neurol. summer 2016; 10(3):57-60.     abstract objective febrile seizure (fs) is one of the most common neurological problems during childhood.pathogenesis of febrile convulsion is unknown. this study investigated some trace elements a...

Many types of electrographic seizures are readily identifiable by direct visual examination of electroencephalographic or electrocorticographic recordings. This process can, however, be painstakingly slow, and much effort has been expended to automate the process using various dynamic properties of epileptiform waveforms. As methods have become more subtle and powerful they have been used for s...

In this paper, we present a new method for epilepsy seizure detection based on autoregressive modelling. The method, termed linear prediction coding (LPC), is used to model ictal and seizure-free EEG signals. It is found that the modeling error energy is substantially higher for ictal EEG signals compared to seizure-free EEG signals. Moreover, it is known that ictal EEG signals have higher ener...

Epilepsy withholds patients’ control of their body or consciousness and puts them at risk in the course daily life. This article pursues development a smart neurocomputational technology to alert epileptic patients wearing EEG sensors an impending seizure. An innovative approach for seizure prediction has been proposed improve accuracy reduce false alarm rate comparison with state-of-the-art be...

Digital signal processing of Electroencephalogram (EEG) can support the diagnosis and alarming for the benefit of humans. About one third of all epileptic patients suffer from refractory epilepsy; seizure prediction based on the EEG information content is an area of intense activity since at least twenty years. In this paper we analyze the high dimensional feature space created by a variety of ...

Anecdotal evidence suggests that some dogs may be able to sense the onset of seizures and other medical conditions in humans, although this has never been explored scientifically. There is, however, evidence that dogs can be specially trained to recognize specific changes preceding a seizure and give an overt signal enabling the dog to warn his/her owner. The introduction of the use of dogs to ...

BACKGROUND A responsive electrical stimulation pattern based on our recently developed novel seizure prediction method was designed to suppress the penicillin-induced epileptic seizures. METHODOLOGY Seizures were induced by Penicillin injection at rat cortex. A responsive electrical stimulation system was triggered prior to seizures predicted with phase synchronisation. Rats with induced seiz...

This book is an ideal way for clinicians and researchers in epileptology to update themselves about current concepts and knowledge of pathophysiological seizure generation mechanisms and ongoing developments in seizure prediction strategies. The book especially highlights the importance of multidisciplinary teamwork involving experts in the neurosciences, mathematics, physics, and engineering (...