Control strategies for intelligent adjustment of pressure in intermittent pneumatic compression systems

Quanli Qiu, Pandeng Zhang, Jia Liu
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引用次数: 2

Abstract

Deep vein thrombosis (DVT) often applies to patients in a long-term supine position in bed. This usually results in slowing down the venous blood velocity and therefore causing DVT. An intermittent pneumatic compression (IPC) treatment system has been used to prevent DVT. It is thus critical to control the pattern of pressure inflation/deflation in order to enhance the venous hemodynamics. The purpose of this research is to design algorithms in real-time to control the pressure in cuffs. We proposed two different methods. In contrast with current PID control, the result shows that our control methods make working pressure stays closer to the target pressure which equals to 45 mmHg. It has minimum standard variance about 2.97 mmHg. Therefore, idea gas law has better accuracy and stability.
间歇气动压缩系统压力智能调节控制策略
深静脉血栓(DVT)常发生于长期仰卧在床上的患者。这通常会导致静脉血流速减慢,从而导致深静脉血栓形成。间歇性气动压缩(IPC)治疗系统已被用于预防DVT。因此,为了增强静脉血流动力学,控制压力膨胀/收缩模式是至关重要的。本研究的目的是设计实时控制袖口压力的算法。我们提出了两种不同的方法。与目前的PID控制相比,我们的控制方法使工作压力更接近目标压力,即45 mmHg。其最小标准方差约为2.97 mmHg。因此,思想气体定律具有较好的准确性和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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