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S. Mathieson

4 papers hereh-index 201.2k citations70 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • q-bio.NC2

identity via Semantic Scholar / OpenAlex

most citedDeep Learning for EEG Seizure Detection in Preterm Infants

55 citations · 55 across the 2 of their papers we have counts for

collaborators

4 papers

eess.SP2021

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…

eess.SP2021★ 55 cited

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…

q-bio.NC2018

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…

q-bio.NC2018

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…

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