A Novel Interface for Hybrid Mock Circulations to Evaluate Ventricular Assist Devices

Ochsner, Gregor; Amacher, Raffael; Amstutz, Alois; Plass, A.; Daners, Marianne Schmid; Tevaearai, Hendrik T.; Vandenberghe, Stijn; Wilhelm, Markus J.; Guzzella, Lino

doi:10.1109/tbme.2012.2230000

Cited by 72 publications

(77 citation statements)

References 24 publications

(23 reference statements)

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“…An implementation in MATLAB/SIMULINK R (The Mathworks Inc., Natick, MA, USA) of this model was used earlier [25]. The pathologic case defined in [24] was used for all investigations.…”

Section: Methodsmentioning

confidence: 99%

“…Figure 1. The subsystems of the numerical circulation model described in [24,25], including a ventricular assist device. The optimal-control problem (OCP) considered in the current paper is based on the reduced model indicated by the gray box.…”

Section: Methodsmentioning

confidence: 99%

“…The hybrid mock circulation presented in [25] was used to validate one solution resulting from the optimization procedure described in Section 2.2.4. This test bench interfaces a hydraulic system with the full model that is used for the simulations.…”

Section: Validation On the Hybrid Mock Circulationmentioning

confidence: 99%

“…A reduced version of the model was used to formulate the OCP, which was solved numerically. The validation of the optimized speed profiles on a hybrid mock circulation [25] indicated that they can potentially be evaluated in a real blood pump.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Optimal Control of Turbo Dynamic Ventricular Assist Devices

et al. 2013

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Abstract:The current paper presents a methodology for the derivation of optimal operating strategies for turbo dynamic ventricular assist devices (tVADs). In current clinical practice, tVADs are typically operated at a constant rotational speed, resulting in a blood flow with a low pulsatility. Recent research in the field has aimed at optimizing the interaction between the tVAD and the cardiovascular system by using predefined periodic speed profiles. In the current paper, we avoid the limitation of using predefined profiles by formulating an optimal-control problem based on a mathematical model of the cardiovascular system and the tVAD. The optimal-control problem is solved numerically, leading to cycle-synchronized speed profiles, which are optimal with respect to an arbitrary objective. Here, an adjustable trade-off between the maximization of the flow through the aortic valve and the minimization of the left-ventricular stroke work is chosen. The optimal solutions perform better than constant-speed or sinusoidal-speed profiles for all cases studied. The analysis of optimized solutions provides insight into the optimized Bioengineering 2014, 1 23 interaction between the tVAD and the cardiovascular system. The numerical approach to the optimization of this interaction represents a powerful tool with applications in research related to tVAD control. Furthermore, patient-specific, optimized VAD actuation strategies can potentially be derived from this approach.

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“…An implementation in MATLAB/SIMULINK R (The Mathworks Inc., Natick, MA, USA) of this model was used earlier [25]. The pathologic case defined in [24] was used for all investigations.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Validation On the Hybrid Mock Circulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Optimal Control of Turbo Dynamic Ventricular Assist Devices

et al. 2013

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“…In order to validate the proposed method, a mock circulatory system which simulates a hemodynamic effect of heartbeat on a VAD was built by referring to a previous study [11]. Figure 2a depicts the overall structure of the system.…”

Section: Experiments Environmentmentioning

confidence: 99%

Sensorless cardiac phase detection for synchronized control of ventricular assist devices using nonlinear kernel regression model

et al. 2016

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Recently, driving methods for synchronizing ventricular assist devices (VADs) with heart rhythm of patients suffering from severe heart failure have been receiving attention. Most of the conventional methods require implanting a sensor for measurement of a signal, such as electrocardiogram, to achieve synchronization. In general, implanting sensors into the cardiovascular system of the patients is undesirable in clinical situations. The objective of this study was to extract the heartbeat component without any additional sensors, and to synchronize the rotational speed of the VAD with this component. Although signals from the VAD such as the consumption current and the rotational speed are affected by heartbeat, these raw signals cannot be utilized directly in the heartbeat synchronization control methods because they are changed by not only the effect of heartbeat but also the change in the rotational speed itself. In this study, a nonlinear kernel regression model was adopted to estimate the instantaneous rotational speed from the raw signals. The heartbeat component was extracted by computing the estimation error of the model with parameters determined by using the signals when there was no effect of heartbeat. Validations were conducted on a mock circulatory system, and the heartbeat component was extracted well by the proposed method. Also, heartbeat synchronization control was achieved without any additional sensors in the test environment.

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Models of the Cardiovascular System

Sharp

2018

Theory and Applications of Heat Transfer in Humans

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A Novel Interface for Hybrid Mock Circulations to Evaluate Ventricular Assist Devices

Cited by 72 publications

References 24 publications

Numerical Optimal Control of Turbo Dynamic Ventricular Assist Devices

Numerical Optimal Control of Turbo Dynamic Ventricular Assist Devices

Sensorless cardiac phase detection for synchronized control of ventricular assist devices using nonlinear kernel regression model

Models of the Cardiovascular System

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