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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
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A Smartphone Application Suite for Assessing Mobility.

Priyanka Madhushri, Armen A Dzhagaryan, Emil Jovanov

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
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    Summary
    This summary is machine-generated.

    This study presents smartphone apps to assess elderly mobility using inertial sensors. These tools automate key medical tests, offering a new way to monitor geriatric health and movement.

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    Area of Science:

    • Geriatric Medicine
    • Mobile Health Technology
    • Biomedical Engineering

    Background:

    • Smartphones possess advanced sensors enabling novel mobile health (mHealth) applications.
    • Assessing mobility is crucial for elderly care, with traditional tests being time-consuming.
    • Standardized mobility tests include Timed-Up-and-Go (TUG), 30 Seconds Chair Stand Test (30SCS), and 4-stage Balance Test (4SBT).

    Purpose of the Study:

    • To introduce a suite of smartphone applications designed for automated and quantified assessment of elderly mobility.
    • To detail the functionality and sensor-derived parameters of these mHealth applications.
    • To validate the application's utility through studies on geriatric patients and healthy subjects.

    Main Methods:

    • Development of smartphone applications to automate TUG, 30SCS, and 4SBT.
    • Utilizing smartphone inertial sensors to capture and process movement data.
    • Conducting clinical studies with geriatric patients and laboratory studies with healthy individuals.

    Main Results:

    • Successful automation and quantification of standardized mobility tests using smartphone applications.
    • Identification of key parameters derived from inertial sensor signals for mobility assessment.
    • Demonstration of feasibility in both geriatric and healthy adult populations.

    Conclusions:

    • Smartphone-based applications offer a viable, automated method for assessing elderly mobility.
    • This technology can enhance the monitoring and management of geriatric health.
    • Further research can expand the application of mHealth tools in clinical practice.