Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

Importance Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …

Many complex and interesting phenomena in nature are due to nonlinear phenomena. The
theory of nonlinear dynamical systems, also called 'chaos theory', has now progressed to a …

The ability to forecast seizures minutes to hours in advance of an event has been verified
using invasive EEG devices, but has not been previously demonstrated using noninvasive …

The sudden and apparently unpredictable nature of seizures is one of the most disabling
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …

Recent research has investigated the possibility of predicting epileptic seizures. Intervention
before the onset of seizure manifestations could be envisioned with accurate seizure …

Epilepsy is now conceptualized as a network disease. The epileptic brain network
comprises structurally and functionally connected cortical and subcortical brain regions …

Purpose: We propose a patient‐specific algorithm for seizure prediction using multiple
features of spectral power from electroencephalogram (EEG) and support vector machine …

It is now established that epilepsy is characterized by periodic dynamics that increase
seizure likelihood at certain times of day, and which are highly patient-specific. However …