Sequential estimation of creatinine removal by a haemodialyser

被引：0
|
作者：
Magalhaes, Felipe Y. [1 ]
Orlande, Helcio R. B. [2 ,3 ]
Suassuna, Jose H. R. [4 ]
机构：
[1] Univ Fed Rio de Janeiro, UFRJ, COPPE, Dept Mech Engn, Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, UFRJ, Politecn COPPE, Dept Mech Engn, Cx Postal 68503, BR-21941972 Rio De Janeiro, RJ, Brazil
[3] Univ Fed Rio de Janeiro, UFRJ, Oncobiol Program, Cx Postal 68503, BR-21941972 Rio De Janeiro, RJ, Brazil
[4] Univ Estado Rio De Janeiro, HUPE Pedro Ernesto Univ Hosp, UERJ, Fac Med Sci,Clin & Acad Unit Nephrol, Rio De Janeiro, Brazil
来源：
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING | 2021年 / 29卷 / 12期
关键词：
State estimation problem; particle filter method; sampling importance resampling algorithm; creatinine; haemodialysis; STATE ESTIMATION; ONLINE; EXCHANGE; MODEL;
D O I：
10.1080/17415977.2021.1897123
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This work is focused on the transient analysis of a haemodialyser. The objective is to sequentially estimate the concentration of creatinine in the blood returning to the patient, by solving a state estimation problem with measurements of the outflow creatinine concentration in the dialysate. Simulated measurements containing Gaussian errors were used in the inverse analysis, which was based on the Sampling Importance Resampling (SIR) algorithm of the Particle Filter method. Accurate results reveal that this technique may possibly be used for online monitoring and control of the haemodialysis therapy.
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页码：1981 / 2001
页数：21
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