Physiologic Data-Driven Iterative Learning Control for Left Ventricular Assist Devices.

ABSTRACT: Continuous flow ventricular assist devices (cfVADs) constitute a viable and increasingly used therapy for end-stage heart failure patients. However, they are still operating at a fixed-speed mode that precludes physiological cfVAD response and it is often related to adverse events of cfVAD therapy. To ameliorate this, various physiological controllers have been proposed, however, the majority of these controllers do not account for the lack of pulsatility in the cfVAD operation, which is supposed to be beneficial for the physiological function of the cardiovascular system. In this study, we present a physiological data-driven iterative learning controller (PDD-ILC) that accurately tracks predefined pump flow trajectories, aiming to achieve physiological, pulsatile, and treatment-driven res

SUBMITTER: Magkoutas K 

PROVIDER: S-EPMC9326058 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature