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• W2092166310 abstract "Brain injury at the time of birth could lead to severe neurological dysfunction at an older age. Grading the brain injury in the early hours after birth could help doctors determine a prompt and reliable treatment. This work presents an automated neonatal EEG grading system based on a cross-disciplinary method of using Support Vector Machine and supervectors, initially developed for speaker identification. The EEG is classified into one of the four grades of neonatal brain injury. The preliminary results show promising performance and are an improvement on the previously published results. © 2014 IEEE." @default.
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• W2092166310 date "2014-05-01" @default.
• W2092166310 modified "2023-09-25" @default.
• W2092166310 title "Grading brain injury in neonatal EEG using SVM and supervector kernel" @default.
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• W2092166310 doi "https://doi.org/10.1109/icassp.2014.6854734" @default.
• W2092166310 hasPublicationYear "2014" @default.
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