145 citations · 291 across the 14 of their papers we have counts for
16 papers
Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy
John M O'Toole, Sean R Mathieson, Sumit A Raurale +4
This report describes a set of neonatal electroencephalogram (EEG) recordings graded according to the severity of abnormalities in the background pattern. The dataset consists of 1…
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG
Sumit A. Raurale, Geraldine B. Boylan, Sean R. Mathieson +3
Electroencephalography (EEG) is an important clinical tool to capture sleep-wake cycling. It can also be used for grading injury, known as hypoxic-ischaemic encephalopathy(HIE), ca…
Deep Learning for EEG Seizure Detection in Preterm Infants
Alison OShea, Rehan Ahmed, Gordon Lightbody +7
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the preterm group is particularly challenging; trained experts are scarce and the ta…
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture
Alison O'Shea, Gordon Lightbody, Geraldine Boylan +1
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroencephalogram (EEG) signals as opp…
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach
Eoin Brophy, Maarten De Vos, Geraldine Boylan +1
Ischemic heart disease is the highest cause of mortality globally each year. This not only puts a massive strain on the lives of those affected but also on the public healthcare sy…
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network
Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody +1
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 arc…