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作者:

Gao, Bin (Gao, Bin.) | Chen, Ningning (Chen, Ningning.) | Chang, Yu (Chang, Yu.) (学者:常宇)

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EI Scopus

摘要:

The Intra-Aorta Pump is a novel LVAD assisting the native heart without percutaneous drive-lines. The Intra-Aorta Pump is emplaced between the radix aortae and the aortic arch to draw-off the blood from the left ventricle to the aorta. To predict the change of pressure drop and blood flow along with the change of pump speed, a nonlinear model has been made based on the structure and speed of the Intra-Aorta Pump. To do this, a nonlinear electric circuit for the Intra-Aorta Pump has been developed. The model includes two speed dependent current sources and flow dependent resistant to simulate the relationship between the pressure drop of the Intra-Aorta Pump and the flow through the pump along with the change of pump speed. The pressure drop and blood flow is derived by solving differential equations with variable coefficients. The parameters of the model are determined by experiment, and the results of the experiment show that these parameters change along with the change of the pump speed distinctness. The accuracy of the model is tested experimentally on a test loop. The comparison of the prediction data derived from the model with the experimental data shows that the error is lest than 15%. The experimental results showed that the model can predict the change of pressure drop and blood flow accurately. © 2009 Springer-Verlag.

关键词:

Blood Blood vessels Data mining Differential equations Digital storage Drops Forecasting Hemodynamics Information systems Information use Left ventricular assist devices Numerical analysis Pressure drop Pumps Speed

作者机构:

  • [ 1 ] [Gao, Bin]School of Life Science and BioEngineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Chen, Ningning]School of Life Science and BioEngineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Chang, Yu]School of Life Science and BioEngineering, Beijing University of Technology, Beijing, 100124, China

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ISSN: 0302-9743

年份: 2009

卷: 5854 LNCS

页码: 177-185

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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