Introduction: Prediction of neurodevelopmental outcome in infants with hypoxic-ischemic
encephalopathy remains an important challenge. Various studies have shown that the …

Despite advances in neonatal care to prevent neonatal brain injury and
neurodevelopmental impairment, predicting long-term outcome in neonates at risk for brain …

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

Hypoxic-ischemic encephalopathy (HIE) is an important cause of permanent damage to
central nervous system (CNS) that may result in neonatal death or manifest later as mental …

Electroencephalogram (EEG) is an important biomarker for neonatal encephalopathy (NE)
and has significant predictive value for brain injury and neurodevelopmental outcomes …

Objectives To identify relevant quantitative parameters for early classification of neonatal
hypoxic-ischemic encephalopathy (HIE) severity from conventional EEGs. Methods Ninety …

In neonates with hypoxic ischemic encephalopathy, the computation of wavelet coherence
between electroencephalogram (EEG) power and regional cerebral oxygen saturation …

Objective To evaluate the utility of a fully automated deep learning-based quantitative
measure of EEG background, Brain State of the Newborn (BSN), for early prediction of …

Objective: To determine the changes due to therapeutic hypothermia (TH) exposure in the
strength of association between traditional clinical and biochemical indicators of severity of …

The objective was to examine the discriminatory ability of electroencephalogram (EEG) delta
power in neonates with hypoxic-ischemic encephalopathy (HIE) with well-defined outcomes …