Non-invasive control of an implantable rotary blood pump used as a left ventricular assist device

对于用作左心室辅助装置的旋转血泵的开发者来说，圣杯是控制泵以满足人体的新陈代谢需求，并在不需要植入额外传感器的情况下做到这一点。控制器还必须检测和避免与过泵和欠泵相关的危险状态。 在这项研究中，我们将推导并实现一种泵控制算法，该算法将允许对泵流量进行非侵入性预测，自动检测泵状态，并根据身体的代谢需求进行调整。这些算法将在长椅上以及动物和人体研究中进行测试。

The Holy Grail for developers of rotary blood pumps used as left ventricular assist devices is to control the pump to meet the body's metabolic demand and to do this without the need for implanting additional sensors. The controller must also detect and avoid dangerous states associated with over and under pumping. In this research we will derive and implement a pump control algorithm that will allow non-invasive prediction of pump flow, automatic detection of pumping states and adjustments for the metabolic demand of the body. The algorithms will be tested on the bench and in animal and human studies.