55 citations · 92 across the 5 of their papers we have counts for
6 papers
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG
Robert Hogan, Sean R. Mathieson, Aurel Luca +4
Background: Neonatal seizures are a neurological emergency that require urgent treatment. They are hard to diagnose clinically and can go undetected if EEG monitoring is unavailabl…
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 EEG Interpretation and Decision Support Framework for Mobile Platforms
Mark O'Sullivan, Sergi Gomez, Alison O'Shea +6
This paper proposes and implements an intuitive and pervasive solution for neonatal EEG monitoring assisted by sonification and deep learning AI that provides information about neo…
On sound-based interpretation of neonatal EEG
Sergi Gomez, Mark O'Sullivan, Emanuel Popovici +3
Significant training is required to visually interpret neonatal EEG signals. This study explores alternative sound-based methods for EEG interpretation which are designed to allow…