Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • 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
Stroke Damage Detection Using Classification Trees on Electrical Bioimpedance Cerebral Spectroscopy Measurements
Harvard University.ORCID iD: 0000-0002-0928-8501
University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.ORCID iD: 0000-0002-6995-967X
salhgrenska Hospital.
KTH-School of Technology and Health.ORCID iD: 0000-0003-4853-7731
2013 (English)In: Sensors, E-ISSN 1424-8220, Vol. 13, no 8, p. 10074-10086Article in journal (Refereed) Published
Resource type
Text
Place, publisher, year, edition, pages
2013. Vol. 13, no 8, p. 10074-10086
National Category
Medical Engineering
Research subject
Människan i vården
Identifiers
URN: urn:nbn:se:hb:diva-8616DOI: 10.3390/s130810074OAI: oai:DiVA.org:hb-8616DiVA, id: diva2:894720
Note

QC 20140123

Available from: 2016-01-15 Created: 2016-01-15 Last updated: 2022-02-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Atefi, Seyed RezaSeoane, FernandoLindecrantz, Kaj

Search in DiVA

By author/editor
Atefi, Seyed RezaSeoane, FernandoLindecrantz, Kaj
By organisation
Faculty of Caring Science, Work Life and Social Welfare
In the same journal
Sensors
Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 168 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • 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