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    Area of Science:

    • Biomedical Engineering
    • Gerontology
    • Wearable Technology

    Background:

    • The 30 Second Chair Stand Test (30SCST) is crucial for assessing leg strength, mobility, and fall risk.
    • Manual administration of 30SCST can be subjective and labor-intensive.
    • Objective, automated methods are needed for widespread and consistent assessment.

    Purpose of the Study:

    • To develop and validate a smartwatch application for automated 30SCST.
    • To integrate leg strength assessment with cardiovascular monitoring using wearable technology.
    • To provide a tool for both clinical and home-based self-monitoring.

    Main Methods:

    • Development of a Wear OS application utilizing smartwatch inertial signals to detect and count sit-to-stand repetitions.
    • Implementation of synchronized haptic feedback for test initiation/cessation and user response time measurement.
    • Integration of heart rate monitoring (baseline, during, and recovery) for cardiovascular fitness assessment.
    • Pilot testing on Fossil G4 and Polar M600 smartwatches with 12 participants.

    Main Results:

    • The application achieved 98.8% accuracy in detecting the number of stand-ups.
    • Demonstrated feasibility of synchronizing test notifications with inertial signal acquisition.
    • Successfully monitored heart rate changes throughout the test protocol.
    • Validated on two distinct smartwatch platforms.

    Conclusions:

    • The developed smartwatch application effectively automates the 30SCST with high accuracy.
    • This technology offers a reliable method for assessing physical function and cardiovascular fitness.
    • The application is suitable for automated clinical testing and convenient home self-monitoring.