Finger Tapping Measures for Parkinson's Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia

Hanna Suominen, Mehika Manocha, Jane Desborough, Anne Parkinson, Deborah Apthorp

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Parkinson's Disease (PD) is a progressive chronic disorder with a high misdiagnosis rate. Because finger-tapping tasks correlate with its fine-motor symptoms, they could be used to help diagnose and assess PD. We first designed and developed an Android application to perform finger-tapping tasks without trained supervision, which is not always feasible for patients. Then, we conducted a preliminary user evaluation in Australia with six patients clinically diagnosed with PD and sixteen controls without PD. The application could be used in research and healthcare for regular symptom and progression assessment and feedback.

    Original languageEnglish
    Title of host publicationNurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics
    EditorsMichelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke
    Place of PublicationNetherlands
    PublisherIOS Press BV
    Pages475-480
    Number of pages6
    ISBN (Electronic)9781643682204
    ISBN (Print)978-1-64368-220-4
    DOIs
    Publication statusPublished - 15 Dec 2021
    Event15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021 - Virtual, Online
    Duration: 23 Aug 20212 Sept 2021

    Publication series

    NameStudies in Health Technology and Informatics
    Volume284
    ISSN (Print)0926-9630
    ISSN (Electronic)1879-8365

    Conference

    Conference15th International Congress in Nursing Informatics: Nurses and Midwives in the Digital Age, NI 2021
    CityVirtual, Online
    Period23/08/212/09/21

    Fingerprint

    Dive into the research topics of 'Finger Tapping Measures for Parkinson's Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia'. Together they form a unique fingerprint.

    Cite this