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Detection of bursts in the EEG of post asphyctic newborns
School of Engineering, University of Borås.
School of Engineering, University of Borås.
Department of Clinical Neurophysiology, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Göteborg, Sweden.
Department of Pediatrics, Queen Silvia Children's Hospital, Sahlgrenska University Hospital-Östra.
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2006 (English)In: 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006, Vol. 1, 2179-2182 p.Conference paper, Published paper (Refereed)
Abstract [en]

Eight features inherent in the electroencephalogram (EEG) have been extracted and evaluated with respect to their ability to distinguish bursts from suppression in burst-suppression EEG. The study is based on EEG from six full term infants who had suffered from lack of oxygen during birth. The features were used as input in a neural network, which was trained on reference data segmented by an experienced electroencephalographer. The performance was then evaluated on validation data for each feature separately and in combinations. The results show that there are significant variations in the type of activity found in burst-suppression EEG from different subjects, and that while one or a few features seem to be sufficient for most patients in this group, some cases require specific combinations of features for good detection to be possible.

Place, publisher, year, edition, pages
2006. Vol. 1, 2179-2182 p.
Series
Alliance for Engineering in Medicine and Biology. Proceedings of the Annual Conference, ISSN 0589-1019 ; 2006
Keyword [en]
algorithm, article, artificial intelligence, automated pattern recognition, computer assisted diagnosis, electroencephalography, evaluation, human, methodology, newborn, newborn hypoxia, reproducibility, sensitivity and specificity, Algorithms, Asphyxia Neonatorum, Diagnosis, Computer-Assisted, Humans, Infant, Newborn, Pattern Recognition, Automated, Reproducibility of Results
National Category
Medical Engineering Pediatrics
Identifiers
URN: urn:nbn:se:kth:diva-75424DOI: 10.1109/IEMBS.2006.260776ISI: 000247284702016ISBN: 978-1-4244-0032-4 (print)OAI: oai:DiVA.org:kth-75424DiVA: diva2:490716
Conference
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06; New York, NY; 30 August 2006 through 3 September 2006
Note
QC 20120221Available from: 2012-02-06 Created: 2012-02-05 Last updated: 2012-02-21Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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