• DocumentCode
    2378875
  • Title

    Monitoring and analysis of sleep pattern for people with early dementia

  • Author

    Wang, Haiying ; Zheng, Huiru ; Augusto, Juan C. ; Martin, Suzanne ; Mulvenna, Maurice ; Carswell, William ; Wallace, Jonathan ; Jeffers, Paul ; Taylor, Barbara ; McSorley, Kevin

  • Author_Institution
    Univ. of Ulster, Belfast, UK
  • fYear
    2010
  • fDate
    18-18 Dec. 2010
  • Firstpage
    405
  • Lastpage
    410
  • Abstract
    An altered sleep pattern is often one of the general symptoms experienced by people with dementia. The quantity and quality of sleep may be a reflection of their dementia condition and affect the quality of life for people with dementia. In this paper we present our research in using sensor based technology for a telecare service to monitor daily activities over a period of three months for one healthy elderly client and one client with early dementia using assistive technology. We analyze their sleep patterns, propose a set of measures to assess the quantity and quality of sleep, and visualize the sleep patterns for a telecare service provider and carers to support users with dementia. Results show that people with early dementia have more alternations of sleep-wake cycles than healthy elderly people, and assistive technology can provide objective and ubiquitous monitoring of sleep patterns for health care purposes.
  • Keywords
    diseases; geriatrics; health care; medical computing; medical disorders; medical information systems; neurophysiology; patient monitoring; sleep; telemedicine; altered sleep pattern; assistive technology; early dementia; health care purpose; healthy elderly client; patient monitoring; sensor based technology; sleep-wake cycle; telecare service; bed sensor; dementia; monitoring; nighttime; sleep pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
  • Conference_Location
    Hong, Kong
  • Print_ISBN
    978-1-4244-8303-7
  • Electronic_ISBN
    978-1-4244-8304-4
  • Type

    conf

  • DOI
    10.1109/BIBMW.2010.5703836
  • Filename
    5703836