Screening parameters of pulmonary and cardiovascular integrated model with sensitivity analysis.
Previously, we built a pulmonary and cardiovascular integrated model which is driven by O2 consumption. However this model is adjusted to average person and cannot correspond to individual difference. It needs parameter adjustment to be applied for simulation of a particular person. We used lumped parameter models, which have simple structures and are well suited to macro-model. However they have a drawback that the number of parameters becomes large if the model describes organs in detail. Since our model has more than 100 parameters, it is ineffective to estimate all parameters. For efficient parameter tuning, we selected important parameters which have significant influence on outputs with a kind of sensitivity analysis method. The model can be well approximated only by the important parameters.
Harada
Tatsuya
T
Grad. School of Information Science & Technology, The University of Tokyo. harada@isi.imi.i.u-tokyo.ac.jp
Kubo
Hajime
H
Mori
Taketoshi
T
Sato
Tomomasa
T
D001783:Blood Flow Velocity / Q000502:physiology*; D001794:Blood Pressure / Q000502:physiology*; D006321:Heart / Q000502:physiology*; D006801:Humans; D008168:Lung / Q000502:physiology*; D008954:Models, Biological; D010101:Oxygen Consumption / Q000502:physiology*; D011659:Pulmonary Gas Exchange / Q000502:physiology*; D015203:Reproducibility of Results; D015656:Respiratory Mechanics / Q000502:physiology; D012680:Sensitivity and Specificity; D018511:Systems Integration