• DocumentCode
    1949595
  • Title

    Feature model to design application framework for context-aware mobile patient monitoring systems

  • Author

    Al-Bashayreh, M.G. ; Hashim, N.L. ; Khorma, O.T.

  • Author_Institution
    Sch. of Comput., Coll. of Arts & Sci., Univ. Utara Malaysia (UUM), Sintok, Malaysia
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    72
  • Lastpage
    77
  • Abstract
    The objective of this paper is to present a feature model as a main deliverable of a domain analysis for context-aware Mobile Patient Monitoring Systems (MPMS). This model is a part of ongoing work to design an application framework to develop context-aware MPMS. These systems will enable elderly populations and patients with chronic diseases to undertake monitoring of themselves during their daily life. Unfortunately, developing these systems is very complex. An application framework, as an ideal reuse technique, is one of the most suitable solutions to simplify the development of such systems and overcome their development complexity. The scope of this paper is limited to construction process for context-aware MPMS feature model. The expected benefits of the resulted model are twofold. First, it enhances the understanding of the domain of context-aware MPMS. Second, it supports designing frameworks that satisfy the main characteristics of application frameworks, which are framework extensibility and reusability.
  • Keywords
    diseases; geriatrics; mobile computing; patient monitoring; application framework design; chronic diseases; context-aware MPMS feature model; context-aware mobile patient monitoring systems; domain analysis; elderly populations; framework extensibility; framework reusability; application frameworks; context-awareness; domain analysis; feature model; mobile patient monitoring systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-1664-4
  • Type

    conf

  • DOI
    10.1109/IECBES.2012.6498052
  • Filename
    6498052