A fuzzy system cardio pulmonary bypass rotary blood pump controller

Casas, Fernando; Orozco, A.; Smith, Wade A.; Abreu-Garcı́a, J.A. De; Durkin, John

doi:10.1016/j.eswa.2003.09.006

Cited by 16 publications

(8 citation statements)

References 3 publications

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“…These algorithms depend on preload as well as contractility but they also aim at imitating the response of the native heart, that is, the Frank-Starling mechanism. The third group consists of controllers, which aim at maintaining the perfusion in a physiological range (21,24,(30)(31)(32)(36)(37)(38) for instance through measurements of mean arterial pressure, EDP, pump flow, or pump pressure difference. The SP controller can be assigned to the second group, as the SP, just like most pulsatility indices, depends on preload as well as contractility.…”

Section: Discussionmentioning

confidence: 99%

“…However, the novelty of the SP controller has a few advantages over most other controllers. First, only one pressure sensor at the inlet cannula of the pump is required in order to implement the controller, while the other pressure‐based controllers require an additional sensor to measure either the pump flow or the pressure at the outlet of the pump (aortic pressure) . Thus, the SP controller keeps the complexity of the system low.…”

Section: Discussionmentioning

confidence: 99%

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A Physiological Controller for Turbodynamic Ventricular Assist Devices Based on Left Ventricular Systolic Pressure

et al. 2016

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The current article presents a novel physiological feedback controller for turbodynamic ventricular assist devices (tVADs). This controller is based on the recording of the left ventricular (LV) pressure measured at the inlet cannula of a tVAD thus requiring only one pressure sensor. The LV systolic pressure (SP) is proposed as an indicator to determine the varying perfusion requirements. The algorithm to extract the SP from the pump inlet pressure signal used for the controller to adjust the speed of the tVAD shows robust behavior. Its performance was evaluated on a hybrid mock circulation. The experiments with changing perfusion requirements were compared with a physiological circulation and a pathological one assisted with a tVAD operated at constant speed. A sensitivity analysis of the controller parameters was conducted to identify their limits and their influence on a circulation. The performance of the proposed SP controller was evaluated for various values of LV contractility, as well as for a simulated pressure sensor drift. The response of a pathological circulation assisted by a tVAD controlled by the introduced SP controller matched the physiological circulation well, while over- and underpumping events were eliminated. The controller presented a robust performance during experiments with simulated pressure sensor drift.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Physiological Controller for Turbodynamic Ventricular Assist Devices Based on Left Ventricular Systolic Pressure

et al. 2016

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“…Fuzzy Expert System (FES) is especially capable to deal with non linear and uncertain systems whose mathematical behaviour is unknown because of its complexity [21,22,23,24,25,26]. Figure 1 shows the basic block diagram of a fuzzy logic controller.…”

Section: Fuzzy Logic Based Implementationmentioning

confidence: 99%

Fuel saving of an automobile using fuzzy logic based embedded controller

Baldania¹,

Sawant²,

Patki³

2014

2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies

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In the last two decades, in the transportation sector, use of air conditioner in buses, cars, trains and aviation industry increased rapidly. Further, with the growth in agriculture sector towards food processing industry, including storage plants which need high capacity refrigeration plants for storage, preservation and transportation of end products, use of an air-conditioner or refrigeration is increased. As fuel consumption is the only available energy in transportation for mobile air conditioner, reduction of fuel consumption has direct positive effect in improving fuel consumption efficiency, reducing pollution and saving economy. So far as moving vehicles are concerned, the air conditioner (passenger based transportation) or refrigeration (preservation of different food items during transportation) units are in the form of pay-loads carried on vehicles. Thus, the primary objective is transportation, while luxury, comfort and preservation are the secondary considerations. In this context, the availability of embedded processor based electronic modules installed in air conditioner or refrigeration units is the technological need. In order to realize such embedded systems, the associated electronic hardware has to have built-in features for energy saving. The emphasis at the technical specification (including tender document requirement) for incorporating these energy saving modules does not appear specifically since most of the times, these units do not support the hardware features for energy saving. This paper brings out fuzzy logic based approaches for energy saving in the design and implementation of electronic hardware systems for air conditioner units. This paper proposes an off-the shelf method for making air conditioner units more energy efficient, which reduces fuel consumed by mobile air conditioner facility available in different transportation vehicles. Reduction in fuel consumption has direct impact on the environment which is very unique thing while addressing issues in the renewable and non-renewable energy sectors. The electronic hardware implementation is carried out using Xilinx ISE Design Suite 14.2 with Verilog-HDL.

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“…FES are especially used in the control of operating rooms where complex and uncertain parameters play role and which requires scrupulous control and are of vital importance [8,9,10,11,12].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy expert system design for operating room air-condition control systems

Sarıtaş

Etik

Allahverdi

et al. 2007

Proceedings of the 2007 International Conference on Computer Systems and Technologies - CompSysTech '07

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In this study, a controlled fuzzy expert system (FES) was designed to provide the conditions necessary for operating rooms. For this purpose, real operating rooms have been studied to see if there are more useful, reliable and comfortable ones. How a operating room can be controlled with FES and its advantages and disadvantages have also been researched. For a theoretically visible FES to show system's advantage a prototype operating room was built and a suitable configuration was designed. In this system, heat, particle, humidity and oxygen are used as input parameters, and fresh air entrance and the fan circulation are chosen as output parameters. With the help of an expert, appropriate language expressions and the membership function of these expressions were defined. The sensors were classified and sensor information was transferred to computer by means of an interface designed. To transfer the data to the system simultaneously, an interface was written in C#. Whether it provides the most suitable control for the system prototype was determined by simulating the operation with varying number of personnel and duration of time. In these trials, input, output and the other necessary parameters were saved in the computer.Consequently, in this study we obtained very good results in prototype operating room control with FES. The results of analyses carried out indicated that the controls performed with FES provide more economical, comfortable, reliable and consistent controls and that they are feasible in real operating rooms.

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A fuzzy system cardio pulmonary bypass rotary blood pump controller

Cited by 16 publications

References 3 publications

A Physiological Controller for Turbodynamic Ventricular Assist Devices Based on Left Ventricular Systolic Pressure

A Physiological Controller for Turbodynamic Ventricular Assist Devices Based on Left Ventricular Systolic Pressure

Fuel saving of an automobile using fuzzy logic based embedded controller

Fuzzy expert system design for operating room air-condition control systems

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