Objective We evaluated the performance of our previously developed seizure prediction
approach on thirty eight seizures from ten patients with focal hippocampal epilepsy. Methods …

OBJECTIVE: In the present study, we have developed a novel patient-specific rule-based
seizure prediction system for focal neocortical epilepsy. METHODS: Five univariate …

Objectives The aim of this study is to develop a model based seizure prediction method.
Methods A neural mass model was used to simulate the macro-scale dynamics of …

Purpose: To investigate whether a correct lateralization of the primary epileptogenic area by
means of neuronal complexity loss analysis can be obtained from interictal EEG recordings …

A seizure prediction algorithm is proposed that combines novel multivariate EEG features
with patient-specific machine learning. The algorithm computes the eigenspectra of space …

Purpose: The purpose of this study was to analyze electrophysiological properties of four
main stages of ictal patterns of patients with operated temporal lobe epilepsy related to …

This paper presents a very large scale integration (VLSI) circuit implementation for Epileptic
Seizure Prediction System based combination of wavelet and chaos theory. The system …

In human partial epilepsies and in experimental models of chronic and/or acute epilepsy, the
role of inhibition and the relationship between the inhibition and excitation and …

Objectives In patients with intractable epilepsy, predicting seizures above chance and with
clinically acceptable performance has yet to be demonstrated. In this study, an intracranial …

Neural dynamics preceding seizures are of interest because they may shed light on
mechanisms of seizure generation and could be predictive. In healthy animals, hippocampal …