DocumentCode
3251382
Title
Reduced-order nonlinear arterial compliance parameter estimation under vasoactive states
Author
Phan, Timothy S. ; Li, John K.-J
Author_Institution
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear
2013
fDate
7-7 Dec. 2013
Firstpage
1
Lastpage
5
Abstract
The arterial system is coupled with the heart, such that the pressure produced by the left ventricle of the heart is in tune to properties of the vasculature. A modified 3-element Windkessel model of the arterial system can closely approximate the complex load presented to the heart, but difficulties in estimating nonlinear arterial parameters have led compliance to be frequently modeled as a constant-valued element. Previously, a method that estimated the parameters from pressure- and flow-derived pressure-volume curves showed good estimates for high pressure and stiff arterial systems, but yielded poor results for lower pressure and compliant systems. We propose here a reduced-order approach in estimating nonlinear compliance parameters that yields good results for various vasocactive states corresponding to low-, normal, and high-pressure arterial systems in good agreement with previous experimental findings.
Keywords
blood pressure measurement; blood vessels; cardiovascular system; parameter estimation; physiological models; complex load; compliant systems; constant-valued element; flow-derived pressure-volume curves; heart; high-pressure arterial system; left ventricle; low-pressure arterial system; modified 3-element Windkessel model; normal-pressure arterial system; pressure-derived pressure-volume curves; reduced-order nonlinear arterial compliance parameter estimation; stiff arterial systems; vasculature properties; vasoactive states; vasocactive states; Approximation methods; Arteries; Blood; Estimation; Heart; Physiology; Pressure measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE
Conference_Location
Brooklyn, NY
Type
conf
DOI
10.1109/SPMB.2013.6736780
Filename
6736780
Link To Document