Although seizures have a higher incidence in neonates than any other age group and are
associated with significant mortality and neurodevelopmental disability, treatment is largely …

Background Despite the availability of continuous conventional electroencephalography
(cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice …

Identifying a core set of features is one of the most important steps in the development of an
automated seizure detector. In most of the published studies describing features and seizure …

Neonatal seizures are a common emergency in the neonatal intensive care unit (NICU).
There are many questions yet to be answered regarding the temporal/spatial characteristics …

A deep learning classifier for detecting seizures in neonates is proposed. This architecture is
designed to detect seizure events from raw electroencephalogram (EEG) signals as …

Electroencephalogram (EEG) is one of the main diagnostic tests for epilepsy. The detection
of epileptic activity is usually performed by a human expert and is based on finding specific …

Objective In the absence of controlled trials, treatment of neonatal seizures has changed
minimally despite poor drug efficacy. We tested bumetanide added to phenobarbital to treat …

Seizures are the most distinctive and frequent manifestations of neurological disease in the
neonatal period. Compared with seizures in older patients, neonatal seizures have different …

In clinical practice, algorithmic predictions may seriously jeopardise patients' health and thus
are required to be validated by medical experts before a final clinical decision is met …

Objective The aim of this multicentre study was to describe detailed characteristics of
electrographic seizures in a cohort of neonates monitored with multichannel continuous …