Objective. Brain-computer interface (BCI) aims to establish communication paths between
the brain processes and external devices. Different methods have been used to extract …

Epilepsy is one of the most common neurological disorders typically characterized by
recurrent and uncontrollable seizures, which seriously affects the quality of life of epilepsy …

Neonatal care is becoming increasingly complex with large amounts of rich, routinely
recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the …

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

Despite advances in obstetric care, hypoxic ischemic encephalopathy (HIE) remains a
significant disease burden. We determined the national trends of HIE prevalence …

Objective The primary aim of this study is to develop and evaluate algorithms for neonatal
EEG artefact detection. The secondary aim is to subsequently assess its application as a …

Neonatal brain monitoring in the neonatal intensive care units (NICU) requires a continuous
review of the spontaneous cortical activity, ie, the electroencephalograph (EEG) background …

Artificial intelligence (AI) offers tremendous potential to transform neonatology through
improved diagnostics, personalized treatments, and earlier prevention of complications …

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

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 …