• DocumentCode
    1671587
  • Title

    Adaptive system identification and diagnosis of function of arterial vessel

  • Author

    Zhou, Li-Gao ; Qu, Yan-Pin ; Wang, Lin ; Jin, Qi-Ying

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • fYear
    1989
  • Firstpage
    440
  • Abstract
    An autoregressive moving-average (ARMA) adaptive system identification method is presented for identifying the transfer function of an arterial vessel of a lower limb. The results are used to estimate the function of the arterial vessel, i.e. the degree of arterial stenosis. Twelve human limbs and three dogs were used in the study
  • Keywords
    adaptive systems; identification; patient diagnosis; arterial stenosis degree estimation; arterial vessel function diagnosis; autoregressive moving-average adaptive system; dogs; human limbs; identification method; lower limb; Adaptive systems; Arteries; Blood; Diseases; Filters; Poles and zeros; Resonance light scattering; Societies; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.95808
  • Filename
    95808
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1671587