Task distribution based adaptation in mobile patient monitoring systems

H. Mei

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    274 Downloads (Pure)

    Abstract

    In the past decades, telemedicine applications have been widely recognized as a key technology to solve many problems faced by our aging society. Being part of this technological move, Mobile Patient Monitoring Systems (MPMSs) have attracted a great deal of attention due to its fitness on providing less intrusive and long-lasting telemedicine services. The first main contribution of this thesis is a set of task assignment algorthms designed for MPMSs. We propose two graph-based polynomial-time algorithms which deal with the "chain-chain assignment"and the "three-star assignment". When the targeted MPMS complies to such models, we recommend the use of these graphbased algorithms that can find the optimal solutions.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • Hermens, Hermie J., Supervisor
    • van Beijnum, Bert-Jan F., Advisor
    • Haverkort, Boudewijn R.H.M., Supervisor
    Thesis sponsors
    Award date2 Jun 2010
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-3026-2
    DOIs
    Publication statusPublished - 2 Jun 2010

    Keywords

    • Mobile patient monitoring systems
    • METIS-279106
    • IR-72495
    • BSS-Biomechatronics and rehabilitation technology
    • EWI-17979
    • three-star assignment
    • chain-chain assignment

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