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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.ORCID iD: 0000-0001-7713-8292
2019 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2019.
National Category
Medical Engineering
Research subject
Research Profiles 2009-2020, 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: 2022-05-12Bibliographically approved

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fulltext(370 kB)208 downloads
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File name FULLTEXT01.pdfFile size 370 kBChecksum SHA-512
c492d0d20b49b0072b6af075e1b0303e7c6b9f0745a832491b431866b247a7d443579cf53e8cef50bef9202361035f936a68bce4e731116256a29b519acb7eb4
Type fulltextMimetype application/pdf

Authority records

Aghanavesi, SomayehFleyeh, HasanDougherty, Mark

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Aghanavesi, SomayehFleyeh, HasanDougherty, Mark
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CiteExportLink to record
Permanent link

Direct link
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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf