• DocumentCode
    320099
  • Title

    Linear and non-linear time series analysis in non-invasive physiological measurement

  • Author

    Carson, E.R. ; Leicester, H.J. ; Roudsari, A.V.

  • Author_Institution
    Meas. & Instrum. Centre, City Univ., London, UK
  • Volume
    3
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    970
  • Abstract
    Non-invasive physiological measurement covers conventional methods of indirect and derived measurement. The definition should also include minimally invasive methods which are becoming increasingly important as meter technology allows patients to collect their own data for clinical use. Across the range, non-invasive methods add noise to the interpretation process. The rise of home data collection means that patient behaviour must be considered as well as the more usual equipment factors. Advanced time series analysis is introduced as a tool for studying patterns in data collection and filtering the noise from underlying signals. Examples are given from diabetes and surgery
  • Keywords
    biomedical measurement; medical signal processing; physiology; time series; advanced time series analysis; clinical use; data collection patterns; derived measurement; diabetes; equipment factors; home data collection; indirect measurement; linear time series analysis; meter technology; noise filtering; noninvasive methods; noninvasive physiological measurement; nonlinear time series analysis; patient behaviour; surgery; underlying signals; Diabetes; Electric variables measurement; Filtering; Frequency measurement; Minimally invasive surgery; Parameter estimation; Pattern analysis; Signal analysis; Time measurement; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-7803-3811-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.1996.652665
  • Filename
    652665