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Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings

Research Article

A Smartphone-Based Timed Up and Go Test for Parkinson’s Disease

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-59717-6_34,
        author={Sara Caramaschi and Gent Ymeri and Carl Magnus Olsson and Athanasios Tsanas and Myrthe Wassenburg and Per Svenningsson and Dario Salvi},
        title={A Smartphone-Based Timed Up and Go Test for Parkinson’s Disease},
        proceedings={Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malm\o{}, Sweden, November 27-29, 2023, Proceedings},
        proceedings_a={PERVASIVEHEALTH},
        year={2024},
        month={6},
        keywords={mobile Health Timed Up and Go test Parkinson’s disease},
        doi={10.1007/978-3-031-59717-6_34}
    }
    
  • Sara Caramaschi
    Gent Ymeri
    Carl Magnus Olsson
    Athanasios Tsanas
    Myrthe Wassenburg
    Per Svenningsson
    Dario Salvi
    Year: 2024
    A Smartphone-Based Timed Up and Go Test for Parkinson’s Disease
    PERVASIVEHEALTH
    Springer
    DOI: 10.1007/978-3-031-59717-6_34
Sara Caramaschi1,*, Gent Ymeri1, Carl Magnus Olsson1, Athanasios Tsanas2, Myrthe Wassenburg, Per Svenningsson, Dario Salvi1
  • 1: Internet of Things and People
  • 2: The Usher Institute
*Contact email: sara.caramaschi@mau.se

Abstract

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.

Keywords
mobile Health Timed Up and Go test Parkinson’s disease
Published
2024-06-04
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-59717-6_34
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