In vivo determinants of energy consumption in electric motor driven artificial hearts.
In vivo determinants of energy consumption in electric motor driven artificial hearts.
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电动机驱动的人工心脏能量消耗的体内决定因素。
DOI：
10.1097/00002480-198907000-00187
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发表时间：
1989
期刊：
影响因子：
--
通讯作者：
Pierce,WS
中科院分区：
文献类型：
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作者：
Jurmann,MJ;Rosenberg,G;Snyder,AJ;Weiss,W;Donachy,JH;Pierce,WS
为了确定导致能量消耗的因素，对100 ml电动马达驱动的左心室辅助装置（ELVAD）和电动马达100 ml全人工心脏的体内性能进行了回顾性研究。器械参数的多元回归分析表明，器械流量和估计出口压力是预测电机功率变化的最重要自变量。加权最小二乘曲线拟合，使用这两个变量的产品，表明可以很好地预测心室辅助装置的能量消耗的变化（r 2= 0.732）。然而，通过将相同的模型应用于全人工心脏（ETAH），获得了不太有利的结果（r2 = 0.422）。在该模型中，与ELVAD相比，设备流量在预测ETAH的能耗方面似乎更重要。因此，通过使用三阶流量改变模型显著改善了ETAH的拟合（r 2= 0.6706），并且可以部分补偿该组中数值的较大变异性和离群值数量的增加。
To identify factors responsible for energy consumption, a retrospective investigation of the in-vivo performance of the 100 ml electric motor-driven left ventricular assist device (ELVAD), and the e-motor 100 ml total artificial heart, was undertaken. Multivariate regression analysis of the device parameters demonstrated that device flow, and estimated outlet pressure, were the most significant independent variables for predicting changes in motor power. Weighted least-square curvefit, using the product of these two variables, showed that changes in energy consumption can be well predicted for the ventricular assist device (r 2= 0.732). However, by applying the same model to the total artificial heart (ETAH), less favorable results were achieved (r 2= 0.422). In this model, device flow seemed to be more important in predicting energy consumption for the ETAH compared to the ELVAD. Therefore, changing the model by using flow to the third order significantly improved the fit (r 2= 0.6706) for the ETAH, and could compensate in part for the greater variability of the values and increased number of outliers in this group.