Neonatal seizure detection using deep convolutional neural networks
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 …
automated seizure detector. In most of the published studies describing features and seizure …
[HTML][HTML] The effect of acute respiratory events and respiratory stimulants on EEG-recorded brain activity in neonates: A systematic review
Objective We conducted a systematic review to investigate electroencephalography (EEG)
changes during periods of acute respiratory events such as apnoea and the effect of …
changes during periods of acute respiratory events such as apnoea and the effect of …
Outcomes of preterm infants treated with hypothermia for hypoxic-ischemic encephalopathy
TI Herrera, L Edwards, WF Malcolm, PB Smith… - Early human …, 2018 - Elsevier
Background Therapeutic hypothermia reduces the risk of death, or moderate to severe
neurodevelopmental impairment (NDI) in term infants with hypoxic-ischemic …
neurodevelopmental impairment (NDI) in term infants with hypoxic-ischemic …
Electrographic monitoring for seizure detection in the neonatal unit: current status and future direction
MAJ Ryan, A Malhotra - Pediatric Research, 2024 - nature.com
Neonatal neurocritical intensive care is dedicated to safeguarding the newborn brain by
prioritising clinical practices that promote early identification, diagnosis and treatment of …
prioritising clinical practices that promote early identification, diagnosis and treatment of …
A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants
Objective. To classify sleep states using electroencephalogram (EEG) that reliably works
over a wide range of preterm ages, as well as term age. Approach. A convolutional neural …
over a wide range of preterm ages, as well as term age. Approach. A convolutional neural …
Quiet sleep detection in preterm infants using deep convolutional neural networks
Objective. Neonates spend most of their time asleep. Sleep of preterm infants evolves
rapidly throughout maturation and plays an important role in brain development. Since …
rapidly throughout maturation and plays an important role in brain development. Since …
Analysis of a low-cost EEG monitoring system and dry electrodes toward clinical use in the neonatal ICU
Electroencephalography (EEG) is an important clinical tool for monitoring neurological
health. However, the required equipment, expertise, and patient preparation inhibits its use …
health. However, the required equipment, expertise, and patient preparation inhibits its use …
A convolutional neural network-based decision support system for neonatal quiet sleep detection
Sleep plays an important role in neonatal brain and physical development, making its
detection and characterization important for assessing early-stage development. In this …
detection and characterization important for assessing early-stage development. In this …
Complexity analysis of neonatal EEG using multiscale entropy: applications in brain maturation and sleep stage classification
O De Wel, M Lavanga, A Caicedo Dorado, K Jansen… - Entropy, 2017 - mdpi.com
Automated analysis of the electroencephalographic (EEG) data for the brain monitoring of
preterm infants has gained attention in the last decades. In this study, we analyze the …
preterm infants has gained attention in the last decades. In this study, we analyze the …
Automated artifact removal as preprocessing refines neonatal seizure detection
OBJECTIVE: The description and evaluation of algorithms using Independent Component
Analysis (ICA) for automatic removal of ECG, pulsation and respiration artifacts in neonatal …
Analysis (ICA) for automatic removal of ECG, pulsation and respiration artifacts in neonatal …