Cerebral and cardiac signal monitoring in fetal sheep with hypoxic-ischemic encephalopathy

A.A. Zwanenburg

Research output: ThesisDoctoral ThesisInternal

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Abstract

Infants risk developing brain injury due to severe lack of oxygen during birth. Computers can help physicians assess the condition of the infant and thus assist in prescribing treatment and intervention through machine learning. To do so, computers need to interpret aspects of cardiac and cerebral electrical signals, also called markers. The question is which markers are useful for preventing brain injury and for its diagnosis and treatment. A number of markers—both new and clinically used—were investigated in a fetal ovine model. Markers were analysed and compared, and new computer techniques for clinical use developed.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Delhaas, Tammo, Supervisor
  • Kramer, B.W., Supervisor, External person
  • Andriessen, P., Advisor, External person
  • Wolfs, Tim, Advisor
Award date19 Nov 2015
Place of PublicationMaastricht
Publisher
Publication statusPublished - 2015

Keywords

  • neonatology
  • brain injury
  • lack of oxygen
  • machine learning

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