Electroencephalography (EEG) remains an essential diagnostic tool for people with epilepsy
(PWE). The International Federation of Clinical Neurophysiology produces new guidelines …

Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …

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 …

Objective To evaluate the effects of a daily patient reminder on seizure documentation
accuracy. Design Randomized controlled trial. Setting Monitoring unit of an academic …

Objective This study was undertaken to review the reported performance of noninvasive
wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures …

We conclude the review with an exercise in wishful thinking, which asks what the ideal
seizure prediction dataset would look like and how these data should be manipulated to …

Objective To investigate the hypothesis that patients diagnosed with psychogenic
nonepileptic seizures (PNES) on video-EEG monitoring (VEM) have increased mortality by …

Electroencephalogram (EEG) datasets from epilepsy patients have been used to develop
seizure detection and prediction algorithms using machine learning (ML) techniques with …

Diagnosing refractory epilepsy would facilitate referral for specialist pharmacological review
and early consideration of epilepsy surgery. An outcomes study was undertaken in an …

The objective of this clinical practice guideline is to provide recommendations on the
indications and minimum standards for inpatient long-term video-electroencephalographic …