Task distribution based adaptation in mobile patient monitoring systems

H. Mei

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

69 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 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

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 UTAcademic

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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 - IR-72495

KW - BSS-Biomechatronics and rehabilitation technology

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KW - chain-chain assignment

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