Elastance control of a mock circulatory system for ventricular assist device test

Yu, Yih‐Choung; Gopalakrishnan, Sriram

doi:10.1109/acc.2009.5160629

Cited by 5 publications

(7 citation statements)

References 8 publications

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“…For example, the HR in Huang at al., Ochsner et al, and Yu and Gopalakrishnan was kept constant (3,9,14 (12,13). For example, the HR in Huang at al., Ochsner et al, and Yu and Gopalakrishnan was kept constant (3,9,14 (12,13).…”

Section: Discussionmentioning

confidence: 99%

“…Lately, hybrid MHCLs were developed to simulate the native physiologic hemodynamics (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14). With a numeric-hydraulic interface, and so-called "Hardware in the Loop" (HIL) concept, control mechanisms and the hydraulic components of the MHCL are brought together.…”

mentioning

confidence: 99%

“…The physical components of the hybrid MHCL, including mechanical elements like pipes, proportional valves, and volume tanks, represent vascular resistance and compliances in the cardiovascular system. A current difficulty of HIL MHCL development is the integration of autoregulation mechanisms (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14). The fastest internal autoregulation of the heart is the Frank-Starling mechanism (FSM), also known as preload sensitivity of the heart, which beat-to-beat regulates the cardiac output (CO).…”

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confidence: 99%

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Effects of Interaction Between Ventricular Assist Device Assistance and Autoregulated Mock Circulation Including Frank–Starling Mechanism and Baroreflex

et al. 2015

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A mock heart circulation loop (MHCL) is a hydraulic model simulating the human circulatory system. It allows in vitro investigations of the interaction between cardiac assist devices and the human circulatory system. In this study, a preload sensitive MHCL, the MHCL , was developed to investigate the interaction between the left ventricle and left ventricular assist devices (LVADs). The Frank-Starling mechanism was modeled by regulating the stroke volume (SV) based on the measured mean diastolic left atrial pressure (MLAP ). The baroreflex autoregulation mechanism was implemented to maintain a constant mean aortic pressure (MAP) by varying ventricular contractility (E ), heart rate (HR), afterload/systemic vascular resistance (SVR) and unstressed venous volume (UVV). The DP3 blood pump (Medos Medizintechnik GmbH) was used to simulate the LVAD. Characteristic parameters were measured in pathological conditions both with and without LVAD to assess the hemodynamic effect of LVAD on the MHCL . The results obtained from the MHCL show a high correlation to literature data. The study demonstrates the possibility of using the MHCL as a research tool to better understand the physiological interactions between cardiac implants and human circulation.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Effects of Interaction Between Ventricular Assist Device Assistance and Autoregulated Mock Circulation Including Frank–Starling Mechanism and Baroreflex

et al. 2015

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“…One of the improvements applied in this solution, which enables representation of Frank-Starling low, is the usage of a mathematical model, which allows for determination of ventricular pressure value based on time-dependent elastance function. The determined pressure is a control value for the model of ventricle [10,11] and the resulting deviation between calculated and measured pressure is given to the controller of electric motor with drives a hydraulic piston. That's why displacement pumps will be applied for the modeling of cardiac systolic function.…”

Section: Methodsmentioning

confidence: 99%

A Physical Model of the Human Circulatory System for the Modeling, Control and Diagnostic of Cardiac Support Processes

2014

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Abstract. This study discusses the concept of building and capabilities of the physical model of the cardiovascular system, which will be used for research of the heart support processes. The paper describes the functionality of the system and the data acquisition configuration necessary for the purposes of assist devices modeling, control algorithms development and testing, as well as for implementation of support processes diagnostics. Exemplary hardware for elements representing the selected components of the circulatory system, is presented. Selected measurement devices and methods of pathological conditions modeling are described.

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“…This is a departure from previous methods, such as the use of electrical elements, to represent physical components in computational models [12,13]. The items that are available in the Simscape V R toolboxes limit the number of assumptions needed for simpler modeling methods, and they supplant the need for the inordinate amount of programming otherwise required to achieve higher fidelity representation of complex elements.…”

Section: Simulink Modeling Withmentioning

confidence: 99%

Mock Circulatory Loop Compliance Chamber Employing a Novel Real-Time Control Process

Taylor¹,

Miller

2012

Journal of Medical Devices

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The use of compliance chambers in mock circulatory loop construction is the predominant means of simulating arterial compliance. Utilizing mock circulatory loops as bench test methods for cardiac assist technologies necessitates that they must be capable of reproducing the circulatory conditions that would exist physiologically. Of particular interest is the ability to determine instantaneous compliance of the system, and the ability to change the compliance in real-time. This capability enables continuous battery testing of conditions without stopping the flow to change the compliance chamber settings, and the simulation of dynamic changes in arterial compliance. The method tested involves the use of a compliance chamber utilizing a circular natural latex rubber membrane separating the fluid and air portions of the device. Change in system compliance is affected by the airspace pressure, which creates more reaction force at the membrane to the fluid pressure. A pressure sensor in the fluid portion of the chamber and a displacement sensor monitoring membrane center deflection allow for real-time inputs to the control algorithm. A predefined numerical model correlates the displacement sensor data to the volume displacement of the membrane. The control algorithm involves a tuned p loop maintaining the volume distention of the membrane via regulation of the air space pressure. The proportional integral (PI) controller tuning was achieved by creating a computational model of the compliance chamber using Simulink TM Simscape V R toolboxes. These toolboxes were used to construct a model of the hydraulic, mechanical, and pneumatic elements in the physical design. Parameter Estimation TM tools and Design Optimization TM methods were employed to determine unknown physical parameters in the system, and tune the process controller used to maintain the compliance setting. It was found that the resulting control architecture was capable of maintaining compliance along a pressure-volume curve and allowed for changes to the compliance set point curve without stopping the pulsatile flow.

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Elastance control of a mock circulatory system for ventricular assist device test

Cited by 5 publications

References 8 publications

Effects of Interaction Between Ventricular Assist Device Assistance and Autoregulated Mock Circulation Including Frank–Starling Mechanism and Baroreflex

Effects of Interaction Between Ventricular Assist Device Assistance and Autoregulated Mock Circulation Including Frank–Starling Mechanism and Baroreflex

A Physical Model of the Human Circulatory System for the Modeling, Control and Diagnostic of Cardiac Support Processes

Mock Circulatory Loop Compliance Chamber Employing a Novel Real-Time Control Process

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