• DocumentCode
    3063106
  • Title

    A new approach to reconstruction of central aortic blood pressure using “adaptive” transfer function

  • Author

    Hahn, Jin-Oh ; Asada, H. Harry ; Reisner, Andrew T. ; Jaffer, Farouc A.

  • Author_Institution
    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, 02139, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    813
  • Lastpage
    816
  • Abstract
    This paper presents a new system identification approach to the reconstruction of central aortic blood pressure signal by exploiting a non-invasive peripheral blood pressure measurement. This technique, which is called the “adaptive” transfer function, is able to reconstruct the aortic blood pressure signal by characterizing the aortic-to-peripheral cardiovascular dynamics solely based on the peripheral measurement. In contrast to the previous related efforts, it does not require any a priori knowledge on the empirical and/or population-based relationship, e.g. the predetermined or generalized transfer function, as well as multiple peripheral measurements. The initial proof-of-principle on the efficacy of the adaptive transfer function is demonstrated by the experimental results from human and animal subjects.
  • Keywords
    Animals; Biomedical monitoring; Blood pressure; Cardiology; Hospitals; Humans; Pressure measurement; Signal processing; System identification; Transfer functions; Algorithms; Animals; Aorta; Blood Pressure; Blood Pressure Determination; Computer Simulation; Diagnosis, Computer-Assisted; Humans; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity; Swine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649278
  • Filename
    4649278