一种植入式旋转血泵系统识别算法

2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) Pub Date : 2018-05-01 DOI:10.1109/USBEREIT.2018.8384550

D. Petukhov, D. Telyshev, M. Walter, Leonie Korn

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引用次数: 1

摘要

提出了一种植入式旋转血泵的系统识别算法。该算法允许根据引入的质量度量来建立数学模型，以评估识别的有效性。将质量度量设置为泵流量估计的误差。结果利用实验数据集确定了两种不同旋转血泵的数学模型。Sputnik 1的识别模型在控制集上的平均误差约为0.12 L，更新后的Sputnik 2的识别模型在体外试验中用于控制泵流量的识别模型的平均误差约为0.14 L。

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An algorithm of system identification for implantable rotary blood pumps

The paper presents an algorithm of system identification for implantable rotary blood pumps. The algorithm allows to build mathematical models in accordance with the quality metric introduced to assess the effectiveness of identification. The quality metric was set as an error of pump flow estimation. In the result the mathematical models were identified using experimental dataset for two different rotary blood pumps Sputnik. The identified model of Sputnik 1 characterizes by the mean error about 0.12 L on the control set, the identified model of updated pump — Sputnik 2 — mean error about 0.14 L. The identified models intended for control of pump flow during in vitro trials.

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来源期刊

2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

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