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SemBox: Semantic Interoperability in a Box for Wearable e-Health Devices.

Nidhi Pathak, Anandarup Mukherjee, Sudip Misra

    IEEE Journal of Biomedical and Health Informatics
    |April 19, 2022
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    Summary
    This summary is machine-generated.

    SemBox enables semantic interoperability for diverse wearable health devices. This plug-and-play solution ensures seamless data communication and collaboration among heterogeneous health monitoring systems.

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    Area of Science:

    • Biomedical Engineering
    • Health Informatics
    • Wireless Communication

    Background:

    • Wearable health monitoring devices generate vast amounts of data.
    • Lack of semantic interoperability hinders data integration and analysis.
    • Heterogeneous devices use proprietary specifications, creating communication barriers.

    Purpose of the Study:

    • To propose SemBox (Semantic interoperability in a Box) for seamless wireless communication.
    • To enable semantic interoperability among heterogeneous wearable health monitoring devices.
    • To facilitate collaborative monitoring and decision support in biomedical research.

    Main Methods:

    • Utilized a Mamdani-based fuzzy inference system with data pre-processing.
    • Implemented SemBox to classify vital parameter data packets wirelessly.
    • Annotated data packets for semantic interoperability based on extracted information.

    Main Results:

    • Achieved a maximum classification accuracy of 85.71%.
    • Demonstrated a maximum Packet Delivery Ratio (PDR) of 1.
    • Successfully implemented SemBox with three different health monitoring wearables.

    Conclusions:

    • SemBox offers a plug-and-play solution for semantic interoperability in wearable health devices.
    • It provides flexibility and ease of inter-device dynamics for collaborative monitoring.
    • The system is customizable for diverse applications in biomedical research and decision support.