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

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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.