145 citations · 257 across the 14 of their papers we have counts for
4 papers · 1 filter
Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph
M. O'Sullivan, T. Gabruseva, G. Boylan +3
Cardiotocography (CTG) is the main tool used for fetal monitoring during labour. Interpretation of CTG requires dynamic pattern recognition in real time. It is recognised as a diff…
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…