Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Classification of burst and suppression in the neonatal electroencephalogram
University of Borås, School of Engineering.
Show others and affiliations
2008 (English)In: Journal of Neural Engineering, ISSN 1741-2560, E-ISSN 1741-2552, Vol. 5, no 4, 402-410 p.Article in journal (Refereed)
Abstract [en]

Fisher's linear discriminant (FLD), a feed-forward artificial neural network (ANN) and a support vector machine (SVM) were compared with respect to their ability to distinguish bursts from suppressions in electroencephalograms (EEG) displaying a burst-suppression pattern. Five features extracted from the EEG were used as inputs. The study was based on EEG signals from six full-term infants who had suffered from perinatal asphyxia, and the methods have been trained with reference data classified by an experienced electroencephalographer. The results are summarized as the area under the curve (AUC), derived from receiver operating characteristic (ROC) curves for the three methods. Based on this, the SVM performs slightly better than the others. Testing the three methods with combinations of increasing numbers of the five features shows that the SVM handles the increasing amount of information better than the other methods.

Place, publisher, year, edition, pages
Institute of Physics Publishing Ltd. , 2008. Vol. 5, no 4, 402-410 p.
Keyword [en]
EEG, classification, burst, suppression, neonatal, neonatal care, Medicinteknik
National Category
Physiology Biomedical Laboratory Science/Technology Signal Processing
Identifiers
URN: urn:nbn:se:hb:diva-2455DOI: 10.1088/1741-2560/5/4/005Local ID: 2320/4176OAI: oai:DiVA.org:hb-2455DiVA: diva2:870549
Available from: 2015-11-13 Created: 2015-11-13

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://www.iop.org/EJ/article/1741-2552/5/4/005/jne8_4_005.pdf

Search in DiVA

By author/editor
Löfhede, JohanLindecrantz, Kaj
By organisation
School of Engineering
In the same journal
Journal of Neural Engineering
PhysiologyBiomedical Laboratory Science/TechnologySignal Processing

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf