Now showing items 1-2 of 2

    • Inverse Modeling of Respiratory System during Noninvasive Ventilation by Maximum Likelihood Estimation 

      Saatçı, Esra; Akan, Aydın (Hindawi Publishing Corporation, 410 Park Avenue, 15Th Floor, #287 Pmb, New York, Ny 10022 Usa, 2010)
      We propose a procedure to estimate the model parameters of presented nonlinear Resistance-Capacitance (RC) and the widely used linear Resistance-Inductance-Capacitance (RIC) models of the respiratory system by Maximum ...
    • Lung model parameter estimation by unscented Kalman filter 

      Saatçı, Esra; Akan, Aydın (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2007)
      Dynamic nonlinear models are the best choice to analyze respiratory systems and to describe system mechanics. In this work, Unscented Kalman Filtering (UKF) was used to estimate the dynamic nonlinear model parameters of ...