Predicting the neurodevelopmental outcome in newborns with hypoxic-ischaemic injury

O M Doyle, A Temko, D M Murray, G Lightbody, W Marnane, G B Boylan

Research output: Chapter in Book/Report/Conference proceedingConference paper

10 Citations (Scopus)

Abstract

The prediction of outcome in newborns with hypoxic ischemic encephalopathy (HIE) is a problematic task. Here, the ability of a combination of clinical, heart rate and EEG measures to predict outcome at 2 years is investigated. One hour of EEG and ECG recordings were obtained from newborns 24 hours after birth. Each newborn was reassessed at 24 months to investigate their neurodevelopmental outcome. From the EEG and ECG recordings, a set of 12 features was extracted. To classify each baby's outcome this data, along with clinical information was fed to a support vector machine. On a per patient basis an ROC area of 0.768 was achieved with 73.68% of newborns being assigned the correct outcome. Overall, this system presents a promising step towards the use of multimodal data for the prediction of neurodevelopmental outcome in newborns with HIE.
Original languageEnglish
Title of host publicationAnnual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
Subtitle of host publicationBuenos Aires, Argentina, Aug. 31, 2010 - Sept. 4, 2010
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1370-1373
Number of pages4
ISBN (Print)9781424441235
DOIs
Publication statusPublished - 2010

Publication series

Name
ISSN (Print)1557-170X

Keywords

  • Developmental Disabilities
  • Humans
  • Diagnosis, Computer-Assisted
  • Electroencephalography
  • Nervous System Diseases
  • Decision Support Systems, Clinical
  • Infant, Newborn
  • Prognosis
  • Risk Assessment
  • Hypoxia-Ischemia, Brain
  • Risk Factors
  • Electrocardiography
  • Female
  • Male

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