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Robust estimation of urea concentration during dialytic treatment

机译:透析处理中尿素浓度的可靠估计

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During dialysis it is important to estimate the urea concentration in the patient from measurements available only in the blood. We design a Kalman estimator based on a bicompartmental model of the urea concentration dynamics. In order to deal with the high interpatient variability of the model parameters, a robust design approach has been pursued which optimizes an average performance index. The applicability of other approaches is finally discussed.
机译:在透析过程中,重要的是根据仅在血液中可用的测量值来估计患者体内的尿素浓度。我们基于尿素浓度动力学的双室模型设计了一个卡尔曼估计器。为了应对模型参数的高患者间可变性,已经寻求了一种健壮的设计方法,该方法可以优化平均性能指标。最后讨论了其他方法的适用性。

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