Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time–frequency distributions

Objective. To develop an automated system to classify the severity of hypoxic-ischaemic encephalopathy injury (HIE) in neonates from the background electroencephalogram (EEG). Approach. By combining a quadratic time–frequency distribution (TFD) with a convolutional neural network, we develop a syste...

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Detalhes bibliográficos
Publicado no:J Neural Eng
Main Authors: Raurale, Sumit A, Boylan, Geraldine B, Mathieson, Sean R, Marnane, William P, Lightbody, Gordon, O’Toole, John M
Formato: Artigo
Idioma:Inglês
Publicado em: IOP Publishing 2021
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Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8208632/
https://ncbi.nlm.nih.gov/pubmed/33618337
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2552/abe8ae
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