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  • Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol

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Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol

Authors

  • Gent Ymeri Department of Computer Science and Media Technology (DVMT), Malmö University, Malmö, SwedenInternet of Things and People Research Center (IOTAP), Malmö University, Malmö, Sweden PubMed articlesGoogle scholar articles
  • Dario Salvi Department of Computer Science and Media Technology (DVMT), Malmö University, Malmö, SwedenInternet of Things and People Research Center (IOTAP), Malmö University, Malmö, Sweden PubMed articlesGoogle scholar articles
  • Carl Magnus Olsson Department of Computer Science and Media Technology (DVMT), Malmö University, Malmö, SwedenInternet of Things and People Research Center (IOTAP), Malmö University, Malmö, Sweden PubMed articlesGoogle scholar articles
  • Myrthe Vivianne Wassenburg Department of Clinical Neuroscience, Karolinska Institute, Stockholm, SwedenCenter for Neurology, Academic Specialist Center Torsplan, Region Stockholm, Sweden PubMed articlesGoogle scholar articles
  • Athanasios Tsanas Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UKAlan Turing Institute, London, UK PubMed articlesGoogle scholar articles
  • Per Svenningsson Department of Clinical Neuroscience, Karolinska Institute, Stockholm, SwedenCenter for Neurology, Academic Specialist Center Torsplan, Region Stockholm, Sweden PubMed articlesGoogle scholar articles
  1. Correspondence to Gent Ymeri; gent.ymeri{at}mau.se
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Citation

Ymeri G, Salvi D, Olsson CM, et al
Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol
BMJ Open 2023;13:e077766. doi: 10.1136/bmjopen-2023-077766

Publication history

  • Received July 14, 2023
  • Accepted November 30, 2023
  • First published December 28, 2023.
Online issue publication 
December 28, 2023
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Review history

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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Copyright information

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.