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Mobile-based multi-dimensional data collection for Parkinson’s symptoms in home environments
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-4261-281X
Usher Institute, The University of Edinburgh, UK.
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2022 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

We extended the Mobistudy app for clinical research in order to gather data about Parkinson’s motor and non-motor symptoms. We developed 5 tests that make use of the phone’s embedded sensors and 3 questionnaires. We show through data collected by healthy individuals simulating PD symptoms that the tests are able to identify the presence of symptoms.

Place, publisher, year, edition, pages
2022.
Keywords [en]
mobile health, Parkinson’s disease
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mau:diva-59125OAI: oai:DiVA.org:mau-59125DiVA, id: diva2:1749160
Conference
44th International Engineering in Medicine and Biology, 11-15 July 2022, Glasgow, UK
Available from: 2023-04-05 Created: 2023-04-05 Last updated: 2023-04-14Bibliographically approved

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fulltext(268 kB)34 downloads
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Type fulltextMimetype application/pdf

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Ymeri, GentSalvi, DarioOlsson, Carl Magnus

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Ymeri, GentSalvi, DarioOlsson, Carl Magnus
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CiteExportLink to record
Permanent link

Direct link
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