introduction: seizure is the most common pediatric neurology problem that occurs in 10% of children. the purpose of this study was to determine the recurrence rate of seizures after one year and its relationship with paraclinical findings of the first attack. methods : in a historical cohort analytic study , 131 children with first seizure admitted to shaheed sadoughi hospital between march 200...

The invertible, compact and Fredholm multiplication operators on generalized Lorentz-Zygmund (GLZ) spaces Lp,q;α, 1 < p ≤ ∞, 1 ≤ q ≤ ∞, α in the Euclidean space R, are characterized in this paper.

Objectives: To optimize the EEG signals in order to predict epileptic seizures at early stage and improve accuracy level by employing genetic algorithm machine learning methods. Methods: Virus Swarm Particle Optimization Technique (VSPO) based Genetic is utilized for purpose of feature selection Machine Learning SVM technique classification determine seizure or non-seizure. The Discrete Wavelet...

introduction: febrile seizure is the most common problem in pediatric neurology that occur s in 3– 4% of children. the purpose of this study was to evaluate demographic and clinical characteristics of first febrile seizures in children admitted to the hospital. methods: in a descriptive retrospective study, medical records of children with first febrile seizure, admitted between march 2004and a...

This article addresses the problem of real-time seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously maximizing sensitivity and minimizing latency and false detection rates has been challenging as thes...

UNLABELLED The prediction of seizure thresholds in electroconvulsive therapy (ECT) remains problematic. We examined the relationship between bispectral index (BIS) score and seizure duration in ECT performed under thiopental anesthesia in patients receiving their usual regimen of antidepressant medication for its potential as a predictor of seizure inducibility. One-hundred ECT treatments were ...

Lyapunov exponents are a set of fundamental dynamical invariants characterizing a system's sensitive dependence on initial conditions. For more than a decade, it has been claimed that the exponents computed from electroencephalogram (EEG) or electrocorticogram (ECoG) signals can be used for prediction of epileptic seizures minutes or even tens of minutes in advance. The purpose of this paper is...