DocumentCode :
427741
Title :
Identification of extended Hammerstein model for renal hemodynamics
Author :
Lorentz, Mathieu J V ; Williamson, Geoffrey A. ; Griffin, Karen A. ; Bidani, Anil K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
1
fYear :
2004
fDate :
7-10 Nov. 2004
Firstpage :
746
Abstract :
Recently a simple feedback model was developed to represent the dynamics of autoregulation of renal blood flow. In the model, the dynamics are broken into a static nonlinearity that determines a target vascular conductance and a linear system that describes the time course of the actual conductance as it follows the target. In this paper, an identification method is described to estimate these two components from measurements of renal blood pressure and flow rate. Via this approach, an accurate representation of the renal autoregulation is obtained while at the same time determining set of parameters from which physiological information can be deduced.
Keywords :
blood vessels; haemodynamics; kidney; extended Hammerstein model identification; linear system; renal blood flow autoregulation; renal hemodynamics; target vascular conductance; Blood flow; Blood pressure; Feedback; Fluctuations; Fluid flow measurement; Hemodynamics; Hospitals; Linear systems; Nonlinear dynamical systems; Nonlinear filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
Type :
conf
DOI :
10.1109/ACSSC.2004.1399234
Filename :
1399234
Link To Document :
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