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Omklassificering och bekräftelse av automatiskt klassificerade korta singel-avlednings EKG: Bedömning av manuella och automatiska metoder med fokus på detektion av förmaksflimmer
Umeå University, Faculty of Medicine, Department of Clinical Microbiology, Biomedical Laboratory Science.
2019 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019.
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:umu:diva-161798OAI: oai:DiVA.org:umu-161798DiVA, id: diva2:1340509
External cooperation
Region Västerbotten
Subject / course
Examensarbete i biomedicinsk laboratorievetenskap; Examensarbete i biomedicinsk laboratorievetenskap
Educational program
Biomedical Laboratory Science Programme, Laboratory Medicine; Biomedical Laboratory Science Programme, Laboratory Medicine
Available from: 2019-08-05 Created: 2019-08-05 Last updated: 2019-08-05Bibliographically approved

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fulltext(280 kB)9 downloads
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File name FULLTEXT01.pdfFile size 280 kBChecksum SHA-512
a5d4137dd3a51a54434f4cb602b349c99783388bd337f2e94975ed1f3ea8fc6c2d86d4ddca6984a9c271f50d211b791b47d4da3b54e4389103646aa2aad564ed
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • 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