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20192022
most citedNeonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy

36 citations · 38 across the 8 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

eess.SP2019★ 2 cited

Machine learning without a feature set for detecting bursts in the EEG of preterm infants

John M. O'Toole, Geraldine B. Boylan

Deep neural networks enable learning directly on the data without the domain knowledge needed to construct a feature set. This approach has been extremely successful in almost all…

eess.SP2019

Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG

Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan +2

Electroencephalography (EEG) is an important clinical tool for grading injury caused by lack of oxygen or blood to the brain during birth. Characteristics of low-voltage waveforms,…