Physiologic Data-Driven Iterative Learning Control for Left Ventricular Assist Devices.
ILC
LVAD
VAD physiological control
data driven control
heart failure
iterative learning control
pulsatile blood pump
ventricular assist devices
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2022
2022
Historique:
received:
17
04
2022
accepted:
20
06
2022
entrez:
1
8
2022
pubmed:
2
8
2022
medline:
2
8
2022
Statut:
epublish
Résumé
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 response of cfVADs. The controller has been extensively tested in an
Identifiants
pubmed: 35911509
doi: 10.3389/fcvm.2022.922387
pmc: PMC9326058
doi:
Types de publication
Journal Article
Langues
eng
Pagination
922387Informations de copyright
Copyright © 2022 Magkoutas, Arm, Meboldt and Schmid Daners.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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