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开发一种算法来调节闭环式气动双心室辅助装置的泵输出。

Development of an algorithm to regulate pump output for a closed air-loop type pneumatic biventricular assist device.

机构信息

Korea Artificial Organ Center, Korea University, Seoul, Korea.

出版信息

Artif Organs. 2009 Dec;33(12):1063-8. doi: 10.1111/j.1525-1594.2009.00809.x. Epub 2009 Jul 10.

DOI:10.1111/j.1525-1594.2009.00809.x
PMID:19604228
Abstract

The closed air space-type of extracorporeal pneumatic ventricular assist device (VAD) developed by the Korea Artificial Organ Center utilizes a bellows-transforming mechanism to generate the air pressure required to pump blood. This operating mechanism can reduce the size and weight of the driving unit; however, the output of the blood pump can be affected by the pressure loading conditions of the blood sac. Therefore, to guarantee a proper pump output level, regardless of the pressure loading conditions that vary over time, automatic pump output regulation of the blood pump is required. We describe herein a pump output regulation algorithm that was developed to maintain pump output around a reference level against various afterload pressures, and verified the pump performance in vitro. Based on actual operating conditions in animal experiments, the pumping rate was limited to 40-84 beats per minute, and the afterload pressure was limited to 80-150 mm Hg. The tested reference pump output was 4.0 L/min. During experiments, the pump output was successfully and automatically regulated within the preset area regardless of the varying afterload conditions. The results of this preliminary experiment can be used as the basis for an automatic control algorithm that can enhance the stability and reliability of the applied VAD.

摘要

韩国人工器官中心开发的封闭式气腔型体外气动心室辅助装置(VAD)利用波纹管转换机构产生泵送血液所需的气压。这种工作机制可以减小驱动单元的尺寸和重量;但是,血泵的输出可能会受到血袋压力加载条件的影响。因此,为了保证适当的泵输出水平,无论压力加载条件随时间如何变化,都需要对血泵进行自动泵输出调节。我们在此描述了一种泵输出调节算法,该算法旨在在各种后负荷压力下将泵输出维持在参考水平附近,并在体外验证了泵性能。根据动物实验中的实际运行情况,泵送速度限制在 40-84 次/分钟,后负荷压力限制在 80-150mm Hg。测试的参考泵输出为 4.0L/min。在实验中,无论后负荷条件如何变化,泵输出都成功且自动地在预设区域内进行了调节。该初步实验的结果可作为自动控制算法的基础,从而提高应用 VAD 的稳定性和可靠性。

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