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Hemolysis experience predicting method and device based on energy dissipation

A technology for energy dissipation and prediction devices, which is applied in the field of biomedical engineering artificial organs, and can solve problems such as quantitative relationship blanks

Active Publication Date: 2018-05-25
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Nevertheless, the quantitative relationship between hemolysis and energy dissipation is currently blank

Method used

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  • Hemolysis experience predicting method and device based on energy dissipation
  • Hemolysis experience predicting method and device based on energy dissipation
  • Hemolysis experience predicting method and device based on energy dissipation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] An empirical prediction method for hemolysis based on energy dissipation of the present invention, the process is as follows figure 1 shown. This example takes the hemolysis calculation of a capillary channel as an example to illustrate the specific implementation steps.

[0089] S101: preparatory work for CFD calculation;

[0090] The capillary calculated in this example is as figure 2 shown. Hemolysis tests of this pipeline were performed by Kameneva et al. in 2004 with Reynolds numbers ranging from 300-5100. This method mainly improves the prediction of hemolysis in turbulent flow, so here only four conditions of transition and turbulent flow are considered, and the Reynolds numbers are 2230, 3500, 4500 and 5100, respectively, as shown in Table 1. The values ​​in the fourth column are the amount of hemolysis measured by Kameneva's people.

[0091] Table 1. Four working conditions of capillary simulation calculation

[0092]

[0093]

[0...

Embodiment 2

[0129] This example takes the ideal medical device benchmark calculation example of FDA (Food and Drug Administration, US Food and Drug Administration) as an example to illustrate the specific implementation steps. FDA designed this example to evaluate the accuracy of CFD simulation techniques and hemolysis prediction methods. The FDA organized the flow field and hemolysis measurements for this example. The working conditions of the flow field measurement cover laminar flow, transitional flow and turbulent flow. The hemolysis test uses bovine blood, and the hematocrit is about 36%. FDA ideal medical devices such as Figure 5 As shown, its main features are the sudden constriction section and the conical diffuser.

[0130] S101: preparatory work for CFD calculation;

[0131] In this embodiment, only turbulent flow conditions are considered, and the flow rates are 4.1 liters / min and 5.1 liters / min, respectively, as shown in Table 4. The value in the fifth column is th...

Embodiment 3

[0142] This example focuses on the application of the hemolysis prediction method of the present invention in the research and development of actual medical devices and the design of blood compatibility, taking the FDA blood pump benchmark example as an example.

[0143] Cardiovascular disease is a leading cause of disability and premature death worldwide. The emergence of ventricular assist device (VAD, commonly known as artificial heart or blood pump) has brought hope to solve this problem. So far, the third-generation blood pump has entered clinical application, and blood pumps have successfully survived tens of thousands of patients with end-stage heart failure in developed countries such as Europe and the United States. However, the hemocompatibility complications caused by VAD have not been properly resolved so far.

[0144] The purpose of the FDA blood pump benchmark study is to evaluate and promote the application of CFD and hemolysis prediction methods in blood...

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Abstract

The invention provides a hemolysis experience predicting method and device based on energy dissipation. A hemolysis experience predicting model is established first based on energy dissipation, and hemolysis predicting is conducted according to the established model. The hemolysis experience predicting method includes the following steps of making a preparation for early-stage computational fluiddynamics (CFD) computation, calculating the average flow energy dissipation and turbulence energy dissipation, defining a hemolysis scalar, calculating source items of a hemolysis scalar equation, andcoupling with the CFD computation to iteratively obtain the hemolysis amount. The hemolysis experience predicting device comprises a CFD computation early-stage preparing module, an energy dissipation calculating module, a hemolysis source item calculating module and a hemolysis obtaining module. By means of the method and device, the quantitative relation of energy dissipation and blood damage is established to better conform to physical reality; the result is one or more magnitude orders lower than the calculation result obtained by means of Reynolds stress in the past, the hemolysis amountdefect in existing model overestimated turbulence is avoided, and hemolysis is quantitatively and qualitatively estimated.

Description

technical field [0001] The invention relates to an empirical prediction method and device for hemolysis based on energy dissipation, and belongs to the technical field of biomedical engineering artificial organs. Background technique [0002] Hemolysis is the process by which red blood cells rupture and hemoglobin is released into the blood plasma. In artificial organs involving blood circulation, such as ventricular assist devices (VAD), high non-physiological shear stress will be generated in the flow field, and the resulting hemolysis has always been the focus of the industry. During the development of ventricular assist devices, computational fluid dynamics (CFD) simulation combined with hemolysis empirical prediction models has been widely used to predict the amount of hemolysis and assist in the design of hemocompatibility. The current mainstream hemolysis prediction model considers that the amount of hemolysis and the equivalent shear stress Exponentially related t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/11G06F19/12
CPCG06F17/11G16B5/00
Inventor 吴鹏边玉成吴思齐
Owner SUZHOU UNIV
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