• DocumentCode
    2294476
  • Title

    Location-Aware Fall Detection System for Medical Care Quality Improvement

  • Author

    Huang, Chih-Ning ; Chiang, Chih-Yen ; Chang, Jui-Sheng ; Chou, Yi-Chieh ; Hong, Ya-Xuan ; Hsu, Steen J. ; Chu, Woei-Chyn ; Chan, Chia-Tai

  • Author_Institution
    Inst. of Biomed. Eng., Nat. Yang-Ming Univ., Taipei, Taiwan
  • fYear
    2009
  • fDate
    4-6 June 2009
  • Firstpage
    477
  • Lastpage
    480
  • Abstract
    Falls are one of the most common adverse events in hospitals and fall management remains a major challenge in the medical care quality. Falls in patients are associated with major health complications that can result in health decline and increased medical care cost. To deliver medical care in time, reliable location-aware fall detection is needed. In this paper, we propose a patient alert alarm for fall management. It is ZigBee-based location awareness fall detection system that provides immediate position information to the caregivers as soon as the fall happened. Obviously, the integration of location awareness and fall detection technologies fulfills the requirements of delivering critical information to relative professions and improve the medical care quality.
  • Keywords
    health care; mobile computing; mobility management (mobile radio); personal area networks; wireless sensor networks; ZigBee-Based location awareness fall detection system; caregivers; fall management; health complications; health decline; medical care cost; medical care quality improvement; patient alert alarm; ubiquitous computing; wireless sensor network; Accelerometers; Biomedical engineering; Costs; Hospitals; Injuries; Medical services; Mobile radio mobility management; Quality management; Wireless sensor networks; ZigBee; ZigBee; fall detection; location-aware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3658-3
  • Type

    conf

  • DOI
    10.1109/MUE.2009.84
  • Filename
    5318949