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A Smartphone-Based Timed Up and Go Test for Parkinson’s Disease
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: 0000-0002-8461-0089
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7102-083X
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
The Usher Institute, The University of Edinburgh, Edinburgh, UK.ORCID iD: 0000-0002-0994-8100
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2024 (English)In: Pervasive Computing Technologies for Healthcare: 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings / [ed] Dario Salvi, Pieter Van Gorp, Syed Ahmar Shah, Springer, 2024, p. 515-519Conference paper, Published paper (Refereed)
Abstract [en]

The Timed-Up and Go test is a simple yet effective test used to evaluate balance and mobility in conditions that affect movement, such as Parkinson’s disease. This test can inform clinicians about the monitoring and progression of the disease by measuring the time taken to complete the test. We used a smartphone app to obtain the phone’s inertial data and implemented an algorithm to automatically extract the time taken to complete the test. We considered data collected from six healthy participants performing tests at different speeds. The proposed method was further tested on twelve participants with Parkinson’s disease based on a reference measurement in clinic. We show that, for both groups, we obtain good accuracy (RMSE = 3.42 and 1.95 s) and a strong positive correlation (r = 0.85 and 0.83) between estimated duration and ground truth. We highlight limitations in our approach when the test is performed at very low speed or without a clear pause between the test and the user interaction with the phone. 

Place, publisher, year, edition, pages
Springer, 2024. p. 515-519
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211, E-ISSN 1867-822X ; 572
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mau:diva-70310DOI: 10.1007/978-3-031-59717-6_34Scopus ID: 2-s2.0-85196783281ISBN: 978-3-031-59716-9 (print)ISBN: 978-3-031-59717-6 (electronic)OAI: oai:DiVA.org:mau-70310DiVA, id: diva2:1889580
Conference
17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023
Available from: 2024-08-16 Created: 2024-08-16 Last updated: 2024-08-16Bibliographically approved

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Caramaschi, SaraYmeri, GentOlsson, Carl MagnusSalvi, Dario

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Caramaschi, SaraYmeri, GentOlsson, Carl MagnusTsanas, AthanasiosWassenburg, MyrtheSvenningsson, PerSalvi, Dario
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Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)
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