Mobile Fall Risk Assessment Solution for Daily-Life Settings

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

    2 Citations (Scopus)

    Abstract

    Prevention of falls requires accurate means for fall risk assessment in order to identify persons at risk. This paper introduces a novel mobile fall risk assessment solution for daily-life settings. The solution contains an Android application that uses acceleration sensor data received via Bluetooth LE connection. The application guides through a simple walk test, analyzes the acceleration data measured from the acceleration sensor attached to the lower back and gives feedback about the fall risk for the user. Preliminary user tests with 12 healthy subjects were conducted to evaluate the feasibility of the solution. Each test subject performed three walks demonstrating normal, dragging and slow gait. The results showed that the acceleration features calculated by the application distinguish normal gait from dragging and slow gaits. Further collection of comprehensive data set with older adults is needed to adjust the application parameters appropriately for the target group.
    Original languageEnglish
    Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    Pages1530-1533
    Number of pages4
    ISBN (Electronic)978-1-5386-3646-6, 978-1-5386-3645-9
    DOIs
    Publication statusPublished - 29 Oct 2018
    MoE publication typeNot Eligible
    Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
    Duration: 17 Jul 201821 Jul 2018
    Conference number: 40

    Conference

    Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    Abbreviated titleEMBC 2018
    Country/TerritoryUnited States
    CityHonolulu
    Period17/07/1821/07/18

    Keywords

    • acceleration
    • risk management
    • support vector machines
    • accelerometers
    • medical services
    • standards
    • mathematical model

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