In vivo evaluation of two adaptive Starling-like control algorithms for left ventricular assist devices
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Moriz A. Habigt
,
Jonas Gesenhues
Abstract
The implantation of a left ventricular assist device (LVAD) is often the only therapy in terminal heart failure (HF). However, despite technical advancements, the physical fitness of the patients is still limited. One strategy to improve the benefits of ventricular assist device therapy might be the implementation of load adaptive control strategies. Two control strategies and a constant speed controller (CS) were implemented in an acute animal model where four healthy pigs received LVAD implantations. In the first strategy (preload recruitable stroke work [SW] controller, PRS), the desired pump work was computed in relation to the end-diastolic volume. In the second strategy, the controller was programmed to keep a fixed ratio of the mean hydraulic power of the assist device to the mean hydraulic power of the left ventricle (power relation controller, PR). Preload reduction, afterload increase experiments and short-term coronary artery occlusions were conducted to test the behavior of the control strategies under variable conditions. Within the experiments, the PR controller demonstrated the best preload sensitivity. The PRS controller had the best response to an increased afterload and to a reduced ventricular contractility in terms of effectively preventing ventricular overloading and increasing VAD support. No significant differences in systemic flow were observed.
Funding source: German Research Foundation
Award Identifier / Grant number: 65/15-1 RO 2000/17-1
Funding source: Medizinische Fakultät, RWTH Aachen University
Acknowledgments
The funders had no influence on the study design, data collection and analysis, decision to publish or preparation of the manuscript.
Research funding: This work was supported by the German Research Foundation (DFG) as project Smart Life Support 2.0 (65/15-1 RO 2000/17-1) and by the Medizinische Fakultät, RWTH Aachen University (START).
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: All authors declare no conflicts of interest, financial or otherwise. The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Ethical approval: This study was reviewed and approved by the local animal care committee and the Government Animal Care Office (No. 84-02.04.2013. A476 and 8.87-50.10.45.08.257; Landesamt für Natur-, Umwelt- und Verbraucherschutz Nordrhein-Westfalen, Recklinghausen, Germany).
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- Surrogate based continuous noninvasive blood pressure measurement
- Research Articles
- Smart automated heart health monitoring using photoplethysmography signal classification
- In vivo evaluation of two adaptive Starling-like control algorithms for left ventricular assist devices
- A patient-independent classification system for onset detection of seizures
- Prediction of salivary cortisol level by electroencephalography features
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- Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
- Experimental and numerical investigations of fracture and fatigue behaviour of implant-supported bars with distal extension made of three different materials
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Artikel in diesem Heft
- Frontmatter
- Review
- Surrogate based continuous noninvasive blood pressure measurement
- Research Articles
- Smart automated heart health monitoring using photoplethysmography signal classification
- In vivo evaluation of two adaptive Starling-like control algorithms for left ventricular assist devices
- A patient-independent classification system for onset detection of seizures
- Prediction of salivary cortisol level by electroencephalography features
- Confocal laser microscopy without fluorescent dye in minimal-invasive thoracic surgery: an ex-vivo pilot study in lung cancer
- Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
- Experimental and numerical investigations of fracture and fatigue behaviour of implant-supported bars with distal extension made of three different materials
- Compression and tension behavior of the prosthetic foam materials polyurethane, EVA, Pelite™ and a combination of polyurethane and EVA: a preliminary study
- Evaluation of a novel stair-climbing transportation aid for emergency medical services
