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Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network
Electroencephalography (EEG) is a valuable clinical tool for grading injury caused by lack of blood and oxygen to the brain during birth. This study presents a novel end-to-end architecture, using a deep convolutional neural network, that learns hierarchical representations within raw EEG data. The...
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| Veröffentlicht in: | Annu Int Conf IEEE Eng Med Biol Soc |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613058/ https://ncbi.nlm.nih.gov/pubmed/33019363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC44109.2020.9175337 |
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