2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
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,…
Neonatal Seizure Detection using Convolutional Neural Networks
Alison O'Shea, Gordon Lightbody, Geraldine Boylan +1
This study presents a novel end-to-end architecture that learns hierarchical representations from raw EEG data using fully convolutional deep neural networks for the task of neonat…