Tiered data integration for mobile health systems

Mervat Abu-Elkheir, Najah A.Abu Ali

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    One of the most promising instantiations of the Internet of Things (IoT) are mobile health (mHealth) systems, which promise to deliver intelligent health monitoring and assisted living as well as advanced and integrated health services. To realize the full potential of these services, fragmented and heterogeneous data that is generated by different segments of the system need to be consolidated in order to support high-quality processes. This paper proposes a tiered data integration scheme for mHealth systems that works on the schema, entity, and event levels. The proposed scheme incorporates an algorithm that merges and ranks sensor streams for schema integration and event identification, and performs contextual record registration and deduplication for entity resolution. We tested the proposed integration scheme on two sets of sensor-based mHealth data related to human activity recognition. Preliminary results show that the proposed integration scheme contributes to enhancements in event identification precision compared to the classification performance of separate datasets produced within the same mHealth system.

    Original languageEnglish
    Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479959525
    DOIs
    Publication statusPublished - 2015
    Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
    Duration: Dec 6 2015Dec 10 2015

    Publication series

    Name2015 IEEE Global Communications Conference, GLOBECOM 2015

    Other

    Other58th IEEE Global Communications Conference, GLOBECOM 2015
    Country/TerritoryUnited States
    CitySan Diego
    Period12/6/1512/10/15

    Keywords

    • Data integration
    • MHealth
    • Schema integration
    • Sensor networks

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering
    • Communication

    Fingerprint

    Dive into the research topics of 'Tiered data integration for mobile health systems'. Together they form a unique fingerprint.

    Cite this