Task distribution based adaptation in mobile patient monitoring systems

H. Mei

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    86 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 languageUndefined
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • Hermens, Hermanus J., Supervisor
    • van Beijnum, Bernhard J.F., Advisor
    • Haverkort, Boudewijn Remigius Heinrich Maria, 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

    Cite this

    Mei, H.. / Task distribution based adaptation in mobile patient monitoring systems. Enschede : Twente University Press (TUP), 2010. 150 p.
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    Task distribution based adaptation in mobile patient monitoring systems. / Mei, H.

    Enschede : Twente University Press (TUP), 2010. 150 p.

    Research output: ThesisPhD Thesis - Research UT, graduation UT

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    N2 - 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.

    AB - 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.

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    KW - METIS-279106

    KW - IR-72495

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    KW - chain-chain assignment

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