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.

中文翻译：

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血液透析仪去除肌酐的顺序估计

这项工作的重点是血液透析器的瞬态分析。目的是通过测量透析液中流出的肌酐浓度来解决状态估计问题，从而依次估计返回患者的血液中肌酐的浓度。在逆分析中使用包含高斯误差的模拟测量，该分析基于粒子滤波器方法的采样重要性重采样 (SIR) 算法。准确的结果表明，该技术有可能用于血液透析治疗的在线监测和控制。