Clinical outcome prediction with an automated EEG trend, Brain State of the Newborn, after perinatal asphyxia
Author:
Funder
Horizon 2020 Marie Skłodowska-Curie Actions
Suomen Akatemia
Sigrid Juséliuksen Säätiö
National Health and Medical Research Council
Lastentautien Tutkimussäätiö
Suomen Aivosäätiö
HUS
Publisher
Elsevier BV
Reference51 articles.
1. Neonatal Seizure detection using deep convolutional neural networks;Ansari;Int J Neural Syst,2019
2. A deep shared multi-scale inception network enables accurate neonatal quiet sleep detection with limited EEG channels;Ansari;IEEE J Biomed Health Inform,2022
3. The TOBY Study. Whole body hypothermia for the treatment of perinatal asphyxial encephalopathy: a randomised controlled trial;Azzopardi;BMC Pediatr,2008
4. The prognostic value of early amplitude-integrated electroencephalography monitoring after pediatric cardiac arrest;Bourgoin;Pediatr Crit Care Med,2020
5. Interrater agreement between critical care providers for background classification and seizure detection after implementation of amplitude-integrated electroencephalography in neonates, infants, and children;Bourgoin;J Clin Neurophysiol,2020
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1. Free access via computational cloud to deep learning-based EEG assessment in neonatal hypoxic-ischemic encephalopathy: revolutionary opportunities to overcome health disparities;Pediatric Research;2024-08-06
2. Progression of Amplitude-Integrated Electroencephalography and Neurological Outcomes in Neonates With Hypoxic-Ischemic Encephalopathy: A Single-Institution Cohort Study in Vietnam;Cureus;2024-06-13
3. Quantitative EEG features during the first day correlate to clinical outcome in perinatal asphyxia;Pediatric Research;2024-05-14
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