Feedback control design for an elastance-based mock circulatory system

Loh, Matilda; Yu, Yih‐Choung

doi:10.23919/acc.2004.1386812

Cited by 12 publications

(13 citation statements)

References 5 publications

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“…Attempts to simulate a MCL Starling response have been made previously, however these systems generally only include the left heart and use linear ESPVRs which cross the x-axis at negative values [9,11,12,14]. Although not shown at low volumes, the i) ii) Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Meanwhile, no right ventricular Starling response was simulated. Loh et al [11] developed, in simulation, a MCL Starling response based on the work completed by Baloa et al, but with the addition of right atrial compliance and pressure dependent flow. Again, this simulation included no right ventricular Starling response, and only a limited range of preload was evaluated.…”

Section: Introductionmentioning

confidence: 98%

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Replication of the Frank-Starling response in a mock circulation loop

Gregory

Stevens

Timms

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Mock circulation loops (MCLs) are used to evaluate cardiovascular devices prior to in-vivo trials; however they lack the vital autoregulatory responses that occur in humans. This study aimed to develop and implement a left and right ventricular Frank-Starling response in a MCL. A proportional controller based on ventricular end diastolic volume was used to control the driving pressure of the MCL's pneumatically operated ventricles. Ventricular pressure-volume loops and end systolic pressure-volume relationships were produced for a variety of healthy and pathological conditions and compared with human data to validate the simulated Frank-Starling response. The non-linear Frank-Starling response produced in this study successfully altered left and right ventricular contractility with changing preload and was validated with previously reported data. This improvement to an already detailed MCL has resulted in a test rig capable of further refining cardiovascular devices and reducing the number of in-vivo trials.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Replication of the Frank-Starling response in a mock circulation loop

Gregory

Stevens

Timms

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…The native human body cardiovascular circulatory system is often modeled using electrical lumped elements due to its functional similarities with them [1]- [4], [9], [10], [16]- [18], [23]. Among various electric-analog models available, a modified four-element Windkessel model [10], with its atria and right ventricle simplified as shown in Fig.…”

Section: Cardiovascular Circulatory System Modelmentioning

confidence: 99%

“…Among various electric-analog models available, a modified four-element Windkessel model [10], with its atria and right ventricle simplified as shown in Fig. 1, was selected as a reference model in this research.…”

Section: Cardiovascular Circulatory System Modelmentioning

confidence: 99%

“…The native ventricle's pumping dynamics-Frank Starling's law [5]-can be implemented via pressure control of the mock ventricle using the elastance function [6]- [8]. However, piston pumps often used for the mock ventricle in the CCS has high-bandwidth pressure dynamics due to its rigidity, hence, it has been difficult to achieve good control performance with simple nonmodel-based or PID controllers, which most previous researches have adopted [1]- [4], [9], [10]. Moreover, it is a highly nonlinear system because of the check valves used as mitral/aortic valve.…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear Adaptive Control of a Piston Pump Mock Ventricle

Gwak

2015

IEEE/ASME Trans. Mechatron.

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High-performance control system for a piston pump mock ventricle is developed in this research to accurately reproduce the native ventricle's pumping dynamics and to secure the physiological feasibility of the cardiovascular circulatory simulator (CCS). The challenges are that a piston pump mock ventricle has inherent parameter uncertainties of check valve resistances, high bandwidth pressure dynamics, and hard nonlinearity due to check valves. To overcome these difficulties, a nonlinear adaptive control scheme is presented in this paper. A hardware CCS is constructed based on the electrical-analog reference model of the cardiovascular circulatory system and the mathematical model of the hardware was derived using fluidic element modeling and the parameter identification experiments. The adaptive controller was designed based on the derived model. Experimental results show that the adaptive control achieved outstanding control performance in spite of the parameter uncertainties and yielded a good match with the reference model behavior. As a result, high quality elastance curve over the whole cardiac cycle was made possible at the level that has never been achieved.Index Terms-Adaptive control, cardiovascular circulatory simulator (CCS), left ventricular elastance, piston pump, parameter uncertainty. 1083-4435

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