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Novel methods for predicting clinical outcome in neonates from clinical electroencephalography recordings
Author(s) -
Kartik K. Iyer
Publication year - 2015
Publication title -
queensland's institutional digital repository (the university of queensland)
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.14264/uql.2015.748
Subject(s) - electroencephalography , outcome (game theory) , hierarchy , criticality , noise (video) , neuroscience , computer science , psychology , artificial intelligence , physics , mathematics , mathematical economics , economics , nuclear physics , market economy , image (mathematics)
23 1.1 The neonatal brain: conception to postnatal development 24 1.1.1 Formation of the brain 24 1.1.2 Neonatal cortical connections 25 1.2 Brief epidemiology of neonatal encephalopathy 29 1.2.1 Birth asphyxia and hypoxic ischemic encephalopathy 29 1.2.2 Preterm brain injury: risk factors and incidence 30 1.3 Common measures in neonatal brain monitoring 33 1.3.1 Neuroprotective care for at-risk infants: full-term hypoxia and preterm birth 33 1.3.2 Continuous Electroencephalography monitoring of neonates 34 1.4 Insights from neuroscience 36 1.5 Research aims and hypotheses 37 1.6 Organization of thesis chapters 38 2.0 Review of selected literature 41 Abstract 41 41 2.1 Full-term hypoxia and Burst Suppression 42 2.1.1 Pathophysiology of HIE 42 2.1.2 Common EEG features in burst suppression 43 2.1.3 Quantification of EEG features from neonatal burst suppression 45 2.2 Cortical activity in the early preterm 49

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