• DocumentCode
    3321978
  • Title

    Profile based sensor data acquisition in a ubiquitous medical environment

  • Author

    Donoghue, John O. ; Herbert, John

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. Cork
  • fYear
    2006
  • fDate
    13-17 March 2006
  • Lastpage
    574
  • Abstract
    The timely delivery of relevant, accurate data is essential within a ubiquitous medical environment. At patient point-of-care, relevant sensor real-time vital sign readings may be required for diagnosis. These vital sign data sets may be supplied through a wireless sensor network (WSN) comprised of wireless patient sensor nodes. The data management system user orofile (DMS-UP) is designed to effectively support data distribution techniques within a WSN. A practitioner´s DMS-UP determines the type and form of real-time patient readings to be uploaded onto their mobile device at the point-of-care. Details are given on the DMS-UP prototype and how it is integrated into the existing DMS (Data Management System) architecture. The current implementation includes sensors that take readings of the electrocardiogram, blood pressure and pulse rate
  • Keywords
    biomedical communication; data acquisition; medical diagnostic computing; medical information systems; ubiquitous computing; wireless sensor networks; data distribution techniques; data management system user profile; patient point-of-care; real-time patient readings; sensor data acquisition; sensor real-time vital sign readings; ubiquitous medical environment; wireless patient sensor nodes; wireless sensor network; Blood pressure; Computer science; Data acquisition; Educational institutions; Environmental management; Medical diagnostic imaging; Personal digital assistants; Prototypes; Quality of service; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    0-7695-2520-2
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2006.111
  • Filename
    1599048