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Feasibility of using smartphones for quantification of Parkinson’s disease motor states during hand rotation tests
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0002-1548-5077
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
2019 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2019.
National Category
Medical Engineering
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-29543OAI: oai:DiVA.org:du-29543DiVA, id: diva2:1290668
Conference
41st International Engineering in Medicine and Biology Conference, Berlin, Germany, July 23–27, 2019
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-06-05Bibliographically approved

Open Access in DiVA

fulltext(370 kB)37 downloads
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File name FULLTEXT01.pdfFile size 370 kBChecksum SHA-512
c492d0d20b49b0072b6af075e1b0303e7c6b9f0745a832491b431866b247a7d443579cf53e8cef50bef9202361035f936a68bce4e731116256a29b519acb7eb4
Type fulltextMimetype application/pdf

Authority records BETA

Aghanavesi, SomayehFleyeh, HasanDougherty, Mark

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CiteExportLink to record
Permanent link

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