Sequential estimation of creatinine removal by a haemodialyser

Abstract

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.

KEYWORDS:

• State estimation problem
• particle filter method
• sampling importance resampling algorithm
• creatinine
• haemodialysis

Acknowledgement

The support provided by CNPq and FAPERJ, agencies of the Brazilian and Rio de Janeiro state governments, is gratefully appreciated. This study was financed in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico: [grant PQ]; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior: [grant number Fincance Code 001]; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro: (Cientista do Estado).