• DocumentCode
    320235
  • Title

    Influence of vascular smooth muscle activation on the aortic hydraulic filtering performance in conscious dogs

  • Author

    Gamero, Lucas ; Armentano, Ricardo

  • Author_Institution
    CONICET, Univ. Nacional de Entre Rios, Bariloche, Argentina
  • Volume
    3
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    1318
  • Abstract
    To evaluate arterial physiopathology, complete arterial wall mechanical characterization is necessary. In this study, parametric models were implemented to assess the arterial system dynamics based on instantaneous descending thoracic aortic pressure and diameter measurements. Stress-strain relationships in control state and during smooth muscle activation by continuous administration of phenylephrine were obtained. The linear autoregressive (AR), autoregressive-moving average (ARMA) models and the nonlinear truncated Volterra series and Bilineal models (BL) were fit to the input-output (stress-strain) data on eight chronically instrumented conscious dogs. Model residual variance was used as the primary intermodel comparison criterion. Results of experiments comparing the models performance are presented. Aortic hydraulic low pass filter was also evaluated, using the mean best fit order ARMA model over all the cases considered
  • Keywords
    blood pressure measurement; diameter measurement; haemodynamics; muscle; physiological models; Bilineal models; aortic diameter measurement; aortic hydraulic filtering performance; arterial physiopathology evaluation; arterial system dynamics; autoregressive-moving average models; complete arterial wall mechanical characterization; conscious dogs; continuous phenylephrine administration; instantaneous descending thoracic aortic pressure measurement; linear autoregressive models; nonlinear truncated Volterra series; parametric models; stress-strain relationships; vascular smooth muscle activation; Arteries; Biological system modeling; Dogs; Filtering; Instruments; Muscles; Nonlinear dynamical systems; Parametric statistics; Pressure control; Pressure measurement;
  • 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.1996.652830
  • Filename
    652830