The proper development of sleep and sleep-wake rhythms during early neonatal life is
crucial to lifelong neurological well-being. Recent data suggests that infants who have poor …

Aim To evaluate quantitative electroencephalogram (EEG) measures as predictors of long‐
term neurodevelopmental outcome in infants with a postconceptional age below 46 weeks …

Exposure to environmental adversities during early brain development, such as preterm
birth, can affect early brain organization. Here, we studied whether development of cortical …

Background Electroencephalogram (EEG) monitoring is recommended as routine in
newborn neurocritical care to facilitate early therapeutic decisions and outcome predictions …

EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation
in the preterm group is particularly challenging; trained experts are scarce and the task of …

Background Early neurodevelopmental care needs better, effective and objective solutions
for assessing infants' motor abilities. Novel wearable technology opens possibilities for …

Background and objective To develop a computational algorithm that detects and identifies
different artefact types in neonatal electroencephalography (EEG) signals. Methods As part …

Objective To develop and validate an automated method for bedside monitoring of sleep
state fluctuations in neonatal intensive care units. Methods A deep learning-based algorithm …

The developing preterm brain is vulnerable to injury, especially during periods of clinical
instability; therefore, monitoring the brain may provide important information on brain health …

Preterm neonates are at risk of long-term neurodevelopmental impairments due to
disruption of natural brain development. Electroencephalography (EEG) analysis can …