Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6007877 | Clinical Neurophysiology | 2016 | 13 Pages |
Abstract
The proposed automated HIE grading system can provide significant assistance to healthcare professionals in assessing the severity of HIE. This represents a practical and user friendly implementation which acts as a decision support system in the clinical environment. Its integration with other EEG analysis algorithms may improve neonatal neurocritical care.
Keywords
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Neurology
Authors
Rehan Ahmed, Andriy Temko, William Marnane, Gordon Lightbody, Geraldine Boylan,