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        Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease

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        Author(s)
        Barth, Jens Gerhard
        Language
        English
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        Abstract
        In 1817 James Parkinson described in his Essay on the Shaking Palsy that impaired gait is one of the most important symptoms in Parkinson’s disease (PD): "Walking becomes a task which cannot be performed without considerable attention. The legs are not raised to that height, or with that promptitude which the will directs,...". Gait disorders still play an important role in PD since the diagnosis, the staging of the disease level, and also the assessment of therapeutic outcomes are based mainly on the rating of movement impairments. The state-of-the-art scores and scales to rate PD are based solely on subjective assessment of movement disorder specialists. A more objective rating of disease related impairments is therefore an urgent need to support clinical decision making. In this thesis the development of a mobile and unobtrusive system to rate gait impairments with wearable sensors is described. An inertial measurement system was used to provide standard gait parameters and a scoring that rates PD related gait impairments. This system supplies physicians and therapists of movement disorders with objective and complementary data and consequently improves clinical decision making.
        URI
        https://library.oapen.org/handle/20.500.12657/109160
        Keywords
        Instrumented Gait Score; Ganganalyse; Classification; Parkinsonismus; Bewegungsstörung; Beschleunigungssensor; Inertial Sensors; Machine learning; UPDRS
        DOI
        10.25593/978-3-96147-083-9
        ISBN
        9783961470839, 9783961470839, 9783961470822
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2018
        Series
        FAU Studien aus der Informatik, 3
        Classification
        Technology, Engineering, Agriculture, Industrial processes
        Computing and Information Technology
        Pages
        220
        Rights
        https://creativecommons.org/licenses/by-nc-nd/3.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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