Genetic algorithm-based optimization framework for control parameters of ventricular assist devices

Magkoutas, Konstantinos; Rossato, Leonardo Nunes; Heim, Marco; Daners, Marianne Schmid

doi:10.1016/j.bspc.2023.104788

Cited by 2 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in this case, the MOPC-EIS shows an advantage in accuracy with two fewer points outside the 5% error range and smaller error values, while the MOPC-PC shows a slight tendency to overestimate the flow. The percentage error of the flow estimator was 3.33 ± 0.92%, in agreement with Leao et al [28] and other estimators [30][31][32][33][34][35][36][37][38][39][40][41][42]. The percentage error of the differential pressure estimator was 1.93 ± 0.7%, in agreement with Leao et al [28] and other estimators.…”

Section: Discussionsupporting

confidence: 88%

“…However, on the other hand, in vitro testing presents significantly more complex adversities than those that may be encountered in a virtual environment. Therefore, the error obtained in the proposal of this study can be considered satisfactory considering the specialized literature in this field [30][31][32][33][34][35][36][37][38][39][40][41][42]. Nevertheless, in vivo testing also presents even higher levels of complexity that cannot be replicated in an in vitro study, and new studies under these conditions will always be necessary.…”

Section: Discussionmentioning

confidence: 69%

“…PI control with optimized gains effectively maintains stability and reduces errors in systems requiring rapid response [17]. Studies by Magkoutas et al [38] examined the influence of gain variation in PID controllers and reported that incorrect settings can lead to undesirable oscillatory responses. Bakouri et al [39] applied the H-infinity technique, a robust control method, to minimize tracking error and maximize disturbance rejection in LVAD systems.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Santos,

Leão,

Barboza Silva

et al. 2024

J. Electron. Electric. Eng.

View full text Add to dashboard Cite

Ventricular Assist Devices (VADs) play a crucial role in both bridging to transplantation and serving as destination therapy for congestive heart failure (CHF) management. This study aims to address the limitations of existing control strategies for VADs, specifically their inability to adapt automatically to hemodynamic changes. It proposes a novel embedded cyber-physical system (CPS) based on real-time data processing, reconfigurable architecture, and communication protocols aligned with Health 4.0 concepts to enhance physiological control over VADs (PC-VAD). The research employs a multi-objective PC-VAD approach within a hybrid cardiovascular simulator. An embedded CPS is introduced to overcome challenges related to differences in controller characteristics between computers and embedded systems. The study assesses the performance of the embedded CPS by comparing it with a computer-based control system. The embedded CPS demonstrates outcomes comparable to the computer-based control system, maintaining mean arterial pressure and cardiac output at physiological levels. Even in the face of variations in ejection fraction, the embedded CPS dynamically adjusts the pump's rotational speed based on simulated clinical conditions. Notably, there is no aortic reflux to the ventricle through the VAD during testing. These findings affirm the satisfactory control performance of the embedded CPS in regulating VADs. The study concludes that the embedded CPS effectively addresses the limitations of current VAD control strategies, exhibiting control performance comparable to computer-based systems. However, further experimentation and in vivo studies are necessary to validate and ensure its applicability in real-world scenarios.

show abstract

Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 69%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Santos,

Leão,

Barboza Silva

et al. 2024

J. Electron. Electric. Eng.

View full text Add to dashboard Cite

show abstract

“…Previous studies have shown the effect of intra- and inter-patient variability on the performance of physiologic LVAD controllers by manipulating specific parameters of the CVS in use. 6,16 However, both studies lack the evidence that the “artificial patients” produced by combining different CVS’ parameters are validated against patient or animal data. Additionally, in both studies, the performance of the examined controller was evaluated by using the CVS structure that was used already during development.…”

Section: Discussionmentioning

confidence: 99%

“…Some works consider different patient scenarios by preclinical experiments with a small number of patients 7,8 or by manipulating specific model parameters in vitro . 6,16 These manipulations, however, may have limited validity in imitating a real CVS.…”

mentioning

confidence: 99%

Performance and Reliable Operation of Physiological Controllers Under Various Cardiovascular Models: In Silico and In Vitro Study

Gwosch,

Magkoutas,

Kaiser

et al. 2024

ASAIO Journal

Self Cite

View full text Add to dashboard Cite

The evaluation of control schemes for left ventricular assist devices (LVADs) requires the utilization of an appropriate model of the human cardiovascular system. Given that different patients and experimental data yield varying performance of the cardiovascular models (CVMs) and their respective parameters, it becomes crucial to assess the reliable operation of controllers. This study aims to assess the performance and reliability of various LVAD controllers using two state-of-the-art CVMs, with a specific focus on the impact of interpatient variability. Extreme test cases were employed for evaluation, incorporating both in silico and in vitro experiments. The differences observed in response between the studied CVMs can be attributed to variations in their structures and parameters. Specifically, the model with smaller compartments exhibits higher overload rates, whereas the other model demonstrates increased sensitivity to changes in preload and afterload, resulting in more frequent suction events (34.2% vs. 8.5% for constant speed mode). These findings along with the varying response of the tested controllers highlight the influence of the selected CVM emphasizing the need to test each LVAD controller with multiple CVMs or, at least, a range of parameter sets. This approach ensures sufficient evaluation of the controller’s efficacy in addressing interpatient variability.

show abstract

Genetic algorithm-based optimization framework for control parameters of ventricular assist devices

Cited by 2 publications

References 36 publications

Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Performance and Reliable Operation of Physiological Controllers Under Various Cardiovascular Models: In Silico and In Vitro Study

Contact Info

Product

Resources

About