Blood pump standard hemolysis index prediction method and mechanical circulation auxiliary system

Abstract

The invention provides a blood pump standard hemolysis index prediction method, a mechanical circulation auxiliary system, electronic equipment and a readable storage medium. The prediction method comprises the following steps: acquiring actual standard hemolysis index distribution information of a to-be-predicted blood pump at a first rotating speed; according to the actual standard hemolysis index distribution information of the to-be-predicted blood pump at the first rotating speed and a pre-established standard hemolysis index prediction model, obtaining predicted standard hemolysis index distribution information of the to-be-predicted blood pump at any rotating speed except the first rotating speed, the standard hemolysis index prediction model is used for representing the relation between the standard hemolysis index of the blood pump and the rotating speed of the blood pump. The hemolysis characteristics of the blood pump at other rotating speeds can be rapidly obtained based on the hemolysis characteristics of the blood pump at a certain rotating speed, the research and development cycle of the blood pump is shortened, and the research and development cost of the blood pump is saved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a method for predicting a standard hemolytic index of a blood pump, a mechanical circulatory assist system, an electronic device, and a readable storage medium. Background Art

[0002] Hemolysis caused by mechanical stress is one of the most important issues that need to be considered in the design of mechanical circulatory assist systems. The hemolytic performance directly determines the success or failure of the entire system design. Therefore, accurate prediction of the hemolytic characteristics caused by mechanical stress can shorten the R&D cycle and reduce experimental costs, which is of great significance to the design and modification of the entire extracorporeal circulation assist system.

[0003] Currently, hemolysis performance in mechanical circulatory assist systems is primarily determined through two methods: experimental measurement and numerical prediction. Experimental measurement is time-consuming and costly, so numerical prediction is often used to evaluate hemolysis performance. Currently, the widely used hemolysis calculation model is based on the relationship between the hemolysis index and shear stress, action time, and a series of empirical constants. A single transfer equation describing the hemolysis index is established through formula derivation and transformation. This transfer equation is then solved in conjunction with the flow field distribution to predict the hemolysis distribution.

[0004] However, in the existing technology, whether it is experimental measurement or numerical prediction method, it can only obtain the hemolysis characteristics under the corresponding measured or calculated working conditions. If you want to obtain the hemolysis characteristics under other working conditions, you need to re-measure and calculate, which is relatively resource-consuming and time-consuming.

[0005] It should be noted that the information disclosed in the background technology section of the invention is only intended to deepen the understanding of the general background technology of the invention, and should not be regarded as an admission or any form of implication that the information constitutes prior art already known to those skilled in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for predicting the standard hemolytic index of a blood pump, a mechanical circulatory assist system, an electronic device, and a readable storage medium, which can quickly obtain the hemolytic characteristics of the blood pump at other speeds based on the hemolytic characteristics of the blood pump at a certain speed, thereby helping to quickly obtain blood pump performance information, shorten the research and development cycle of the blood pump, and save the research and development costs of the blood pump.

[0007] To achieve the above-mentioned object, the present invention provides a method for predicting a standard hemolytic index of a blood pump, the method comprising:

[0008] Acquiring actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed;

[0009] Based on the actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed and a pre-established standard hemolytic index prediction model, the predicted standard hemolytic index distribution information of the blood pump to be predicted at any speed other than the first speed is obtained. The standard hemolytic index prediction model is used to characterize the relationship between the standard hemolytic index of the blood pump and the speed of the blood pump.

[0010] Optionally, obtaining actual standard hemolytic index distribution information of the blood pump to be predicted at the first speed includes:

[0011] According to computational fluid dynamics and a hemolysis calculation model, a numerical simulation calculation is performed on the hemolysis characteristics of the blood pump to be predicted at the first speed to obtain actual standard hemolysis index distribution information of the blood pump to be predicted at the first speed.

[0012] Optionally, the standard hemolytic index prediction model is obtained by the following steps:

[0013] Creating an initial prediction model based on the relationship between head and rotational speed in a pump similarity law, wherein the initial prediction model is used to characterize a preset power relationship between a standard hemolytic index of the blood pump and the rotational speed of the blood pump;

[0014] obtaining actual standard hemolysis index distribution information of the calibrated blood pump at a second speed;

[0015] acquiring, based on the actual standard hemolytic index distribution information of the calibrated blood pump at the second speed and the initial prediction model, predicted standard hemolytic index distribution information of the calibrated blood pump at at least one speed to be tested other than the second speed;

[0016] Obtaining actual standard hemolytic index distribution information of the calibrated blood pump at the speed to be measured;

[0017] According to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured, the power exponent in the initial prediction model is adjusted to obtain a standard hemolysis index prediction model.

[0018] Optionally, adjusting the power exponent in the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured includes:

[0019] Obtaining relative error distribution information of the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured;

[0020] According to the relative error distribution information of the initial prediction model, the power exponent in the initial prediction model is adjusted to obtain a standard hemolytic index prediction model.

[0021] Optionally, obtaining the predicted standard hemolytic index distribution information of the calibrated blood pump at at least one speed to be measured other than the second speed includes:

[0022] Acquire predicted standard hemolytic index distribution information of the calibrated blood pump at a first speed to be measured and a second speed to be measured, wherein the first speed to be measured is less than the second speed, and the second speed to be measured is greater than the second speed;

[0023] The obtaining of actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured includes:

[0024] Acquiring actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured;

[0025] The step of adjusting the power exponent in the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured to obtain a standard hemolysis index prediction model includes:

[0026] According to the predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured, the power exponent in the initial prediction model is adjusted to obtain a standard hemolytic index prediction model.

[0027] Optionally, the step of obtaining the standard hemolytic index prediction model further includes:

[0028] obtaining actual standard hemolysis index distribution information of the verification blood pump at a third speed;

[0029] obtaining, based on the actual standard hemolytic index distribution information of the verification blood pump at the third speed and the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model, first predicted standard hemolytic index distribution information of the verification blood pump at at least one speed to be verified other than the third speed;

[0030] Acquire actual standard hemolytic index distribution information of the verification blood pump at the rotation speed to be verified;

[0031] According to the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, the standard hemolytic index prediction model obtained after power exponent adjustment of the initial prediction model is verified, and based on the verification result, the final standard hemolytic index prediction model is obtained.

[0032] Optionally, the step of verifying the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model based on the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, and obtaining the final standard hemolytic index prediction model based on the verification result includes:

[0033] acquiring, based on the actual standard hemolytic index distribution information of the verification blood pump at the third speed and the initial prediction model, second predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified;

[0034] Calculating, based on the first predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified and the actual standard hemolytic index distribution information, an average relative error value of the standard hemolytic index prediction model obtained by power exponential adjustment of the initial prediction model;

[0035] Calculating an average relative error value of the initial prediction model based on the second predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified and the actual standard hemolytic index distribution information;

[0036] Determining whether an average relative error value of a standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model is less than an average relative error value of the initial prediction model;

[0037] If so, it is determined that the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model has been verified, and the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model is used as the final standard hemolytic index prediction model.

[0038] Optionally, the expression of the standard hemolytic index prediction model is as follows:

[0039]

[0040] Among them, NIH1 represents the actual standard hemolysis index of the blood pump at the speed n1, NIH i Indicates that the blood pump is at a speed n i The predicted standard hemolysis index under , m is the power index, and the value range of m is 1.0~2.5.

[0041] To achieve the above objectives, the present invention also provides a mechanical circulatory assist system, which includes a blood pump and a controller in communication connection, and the controller is configured to implement the blood pump standard hemolytic index prediction method described in any one of the above items.

[0042] To achieve the above object, the present invention further provides an electronic device comprising a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the blood pump standard hemolytic index prediction method described above is implemented.

[0043] To achieve the above object, the present invention further provides a readable storage medium, wherein the readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for predicting the standard hemolytic index of a blood pump is implemented.

[0044] Compared with the prior art, the blood pump standard hemolytic index prediction method, mechanical circulatory assist system, electronic device, and readable storage medium provided by the present invention have the following beneficial effects:

[0045] The blood pump standard hemolytic index prediction method provided by the present invention first obtains actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed; then, based on the actual standard hemolytic index distribution information of the blood pump to be predicted at the first speed and a pre-established standard hemolytic index prediction model for characterizing the relationship between the standard hemolytic index of the blood pump and the speed of the blood pump, obtains predicted standard hemolytic index distribution information of the blood pump to be predicted at any speed other than the first speed. Thus, the blood pump standard hemolytic index prediction method provided by the present invention can quickly obtain the hemolytic characteristics of the blood pump at other speeds (i.e., the standard hemolytic index distribution with flow rate) based on the hemolytic characteristics of the blood pump at a certain speed (i.e., the standard hemolytic index distribution with flow rate), thereby analyzing the standard hemolytic index of the rotary blood pump under different operating conditions, helping researchers to quickly understand the hemolytic status of the blood pump and enabling researchers to quickly and easily evaluate the advantages and disadvantages of different design solutions, thereby helping to shorten the blood pump development cycle and save blood pump development costs.

[0046] Since the mechanical circulatory assist system, electronic device and readable storage medium provided by the present invention belong to the same inventive concept as the blood pump standard hemolytic index prediction method provided by the present invention, the mechanical circulatory assist system, electronic device and readable storage medium provided by the present invention have at least all the beneficial effects of the blood pump standard hemolytic index prediction method provided by the present invention. For details, please refer to the relevant description of the beneficial effects of the blood pump standard hemolytic index prediction method provided by the present invention in the above text. Therefore, the beneficial effects of the mechanical circulatory assist system, electronic device and readable storage medium provided by the present invention will not be described one by one here. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Schematic diagram of the process of predicting the standard hemolytic index of a blood pump in one embodiment of the present invention;

[0048] Figure 2 A distribution curve diagram of the actual standard hemolytic index of a calibrated blood pump at different speeds provided by one embodiment of the present invention;

[0049] Figure 3 A distribution curve of the predicted standard hemolytic index of a calibrated blood pump at different speeds obtained based on an initial prediction model with a power exponent of 2 provided in one embodiment of the present invention;

[0050] Figure 4 A comparison diagram of predicted standard hemolytic index distribution curves of a calibrated blood pump at different speeds obtained based on an initial prediction model with a power exponent of 2 and a standard hemolytic index prediction model with a power exponent of 1.8 provided in one embodiment of the present invention;

[0051] Figure 5 This is a graph showing the actual standard hemolytic index distribution of a blood pump at different speeds for verification provided by one embodiment of the present invention;

[0052] Figure 6 A comparison of predicted standard hemolytic index distribution curves of a validation blood pump at different speeds obtained based on an initial prediction model with a power exponent of 2 and a standard hemolytic index prediction model with a power exponent of 1.8 provided in one embodiment of the present invention;

[0053] Figure 7 A schematic block diagram of a mechanical circulatory assist system according to one embodiment of the present invention;

[0054] Figure 8 Schematic diagram of the block structure of an electronic device in one embodiment of the present invention.

[0055] The description of the accompanying drawings is as follows:

[0056] Blood pump-100; controller-200;

[0057] Processor 310 ; communication interface 320 ; memory 330 ; communication bus 340 . DETAILED DESCRIPTION

[0058] The following is a further detailed description of the blood pump standard hemolytic index prediction method, mechanical circulatory assist system, electronic device and readable storage medium proposed in the present invention in conjunction with the accompanying drawings and specific embodiments. According to the following description, the advantages and features of the present invention will become clearer. It should be noted that the drawings are in a very simplified form and are not in precise proportions, which are only used to conveniently and clearly assist in explaining the purpose provided by the present invention. In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, please refer to the drawings. It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions for the implementation of the present invention. Any modification of the structure, change in the proportional relationship or adjustment of the size should still fall within the scope of the technical content disclosed in the present invention, provided that the effects and purposes that can be achieved by the present invention are the same or similar.

[0059] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element. The singular forms "a", "an" and "the" include plural objects, the term "or" is generally used in a sense including "and / or", the term "several" is generally used in a sense including "at least one", and the term "at least two" is generally used in a sense including "two or more". In addition, the terms "first", "second" and "third" are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance or implicitly indicating the number of the indicated technical features.

[0060] In addition, in the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction.

[0061] The core idea of ​​the present invention is to provide a method for predicting the standard hemolytic index of a blood pump, a mechanical circulatory assist system, an electronic device and a storage medium, which can quickly obtain the standard hemolytic index of the blood pump at other speeds based on the standard hemolytic index of the blood pump at a certain speed, thereby helping to quickly obtain blood pump performance information, shorten the research and development cycle of the blood pump, and save the research and development costs of the blood pump.

[0062] It should be noted that the blood pump standard hemolysis index prediction method provided by the present invention can be applied to the electronic device provided by the present invention, and the electronic device can be configured in the mechanical circulatory assist system provided by the present invention, wherein the electronic device can be a hardware device with various operating systems. It should also be noted that, as those skilled in the art will understand, the blood pump can be, but is not limited to, an extracorporeal circulation pump, a left ventricular assist pump, a right ventricular assist pump, a hemodialysis pump, etc. In addition, it should be noted that, as those skilled in the art will understand, in a blood pump, the hemolysis index is a quantitative indicator reflecting the degree of damage to the blood by the blood pump. The larger the hemolysis index, the more severe the damage to the blood by the blood pump. Therefore, it is desirable that the hemolysis index of the blood pump be as small as possible. It is generally desirable that the standard hemolysis index of the blood pump should not be greater than 0.1 mg / dL (greater than 0.1 mg / dL indicates severe hemolysis). The ability to accurately and quickly obtain the hemolysis index of the blood pump is extremely important for evaluating the performance of the blood pump.

[0063] To achieve the above idea, the present invention provides a method for predicting the standard hemolytic index of a blood pump, please refer to Figure 1 , which is a flow chart of a method for predicting the standard hemolytic index of a blood pump provided by one embodiment of the present invention. Figure 1 As shown, the method for predicting the standard hemolytic index of a blood pump provided by the present invention includes the following steps:

[0064] Step S100: obtaining actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed.

[0065] Step S200: Based on the actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed and a pre-established standard hemolytic index prediction model, obtain the predicted standard hemolytic index distribution information of the blood pump to be predicted at any speed other than the first speed, wherein the standard hemolytic index prediction model is used to characterize the relationship between the standard hemolytic index of the blood pump and the speed of the blood pump.

[0066] Therefore, the blood pump standard hemolysis index prediction method provided by the present invention can quickly obtain the hemolysis characteristics of the blood pump at other speeds (i.e., the standard hemolysis index distribution with flow rate) based on the hemolysis characteristics of the blood pump at a certain speed (i.e., the standard hemolysis index distribution with flow rate), thereby being able to analyze the standard hemolysis index of the rotary blood pump under different operating conditions, to help R&D personnel quickly understand the hemolysis situation of the blood pump, so that R&D personnel can simply and quickly evaluate the advantages and disadvantages of different design schemes, thereby helping to shorten the R&D cycle of the blood pump and save the R&D cost of the blood pump. It should be noted that, as can be understood by those skilled in the art, the present invention does not limit the specific value of the first speed. The first speed can be any speed of the blood pump to be predicted, and can be set according to actual needs.

[0067] In some exemplary embodiments, obtaining actual standard hemolysis index distribution information of the blood pump to be predicted at the first speed includes:

[0068] According to computational fluid dynamics and a hemolysis calculation model, a numerical simulation calculation is performed on the hemolysis characteristics of the blood pump to be predicted at the first speed to obtain actual standard hemolysis index distribution information of the blood pump to be predicted at the first speed.

[0069] Specifically, by combining the existing computational fluid dynamics software and the hemolysis calculation model, a computing platform that can more accurately predict the hemolysis performance (hemolysis characteristics) of the blood pump can be established. In the actual operation process, ANSYSFLUENT software can be used for grid division and flow field numerical calculation, and then the hemolysis characteristics of the blood pump at the first speed (i.e., the distribution of the standard hemolysis index with flow, i.e., the flow Q-standard hemolysis index NIH curve) can be predicted in combination with the existing hemolysis calculation model, thereby obtaining the actual standard hemolysis index distribution information of the blood pump to be predicted at the first speed. It should be noted that, as can be understood by those skilled in the art, the specific expressions of the existing hemolysis calculation model and the relevant content of how to carry out the flow field numerical calculation can refer to the relevant technologies known to those skilled in the art, such as: Xu Zihao, Yang Ming, etc., China Medical Equipment. 2016, 31 (01), Research progress on blood destructiveness of blood pumps based on numerical simulation; Xu Zihao, Doctoral Electronic Journal Publishing, Issue 07, 2021, Prediction and optimization research on blood destructiveness of pulsating blood pumps based on CFD, which will not be further explained here.

[0070] It should be noted that, as those skilled in the art will appreciate, in other embodiments, the actual standard hemolytic index distribution information of the blood pump to be predicted at the first speed may also be obtained by experimental measurement, which will not be elaborated herein.

[0071] In some exemplary embodiments, the standard hemolytic index prediction model is established by the following steps:

[0072] Creating an initial prediction model based on the relationship between head and rotational speed in a pump similarity law, wherein the initial prediction model is used to characterize a preset power relationship between a standard hemolytic index of the blood pump and the rotational speed of the blood pump;

[0073] obtaining actual standard hemolysis index distribution information of the calibrated blood pump at a second speed;

[0074] acquiring, based on the actual standard hemolytic index distribution information of the calibrated blood pump at the second speed and the initial prediction model, predicted standard hemolytic index distribution information of the calibrated blood pump at at least one speed to be tested other than the second speed;

[0075] Obtaining actual standard hemolytic index distribution information of the calibrated blood pump at the speed to be measured;

[0076] According to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured, the power exponent in the initial prediction model is adjusted to obtain a standard hemolysis index prediction model.

[0077] Specifically, for a certain blood pump, the operating point A1 (flow rate Q, head H1, standard hemolysis index NIH1) on the characteristic curve at the speed n1 is known. According to the pump similarity law, the speed is n i (n i ≠n1), at the same flow rate Q (operating point Ai (flow rate Q, head H i , Standard hemolysis index NIH i The parameter head H2 can be calculated according to the following formula (1):

[0078]

[0079] Since the standard hemolysis index NIH is related to the flow rate and head, it can be assumed that the standard hemolysis index NIH, like the head, also has a quadratic (second power) relationship with the speed, so that an initial prediction model can be created, as shown in the following formula (2):

[0080]

[0081] According to formula (2), if the standard hemolysis index NIH1 distribution information of the blood pump at the speed n1 is known, the blood pump at other speeds n can be predicted according to formula (2). i NIH standard hemolytic index i It should be noted that, as those skilled in the art can understand, according to formula (2) and the standard hemolysis index NIH1 distribution information of the blood pump at the speed n1, the blood pump at other speeds n1 can be predicted. i NIH standard hemolytic index i When distributing information, for each flow rate, it is necessary to calculate the standard hemolysis index NIH1 when the blood pump speed is n1 at this flow rate and the speed n i Substitute into the above formula (2) to obtain the speed of the blood pump at this flow rate as n i NIH standard hemolytic index i It should also be noted that, as those skilled in the art will appreciate, n1 in formula (2) represents a variable reference speed (the reference speed may be any speed within the range of speeds commonly used in the operating conditions of the blood pump), and does not represent a fixed speed.

[0082] Therefore, based on the actual standard hemolytic index distribution information of the calibrated blood pump at the second speed and combined with formula (2), the predicted standard hemolytic index distribution information of the calibrated blood pump at the speed to be measured can be obtained. Then, based on the predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the calibrated blood pump at the speed to be measured, the power exponent in the initial prediction model (as shown in formula (2)) is adjusted to obtain a more accurate standard hemolytic index prediction model.

[0083] It should be noted that, as those skilled in the art will appreciate, the initial prediction model shown in formula (2) (i.e., the preset power is 2, i.e., the power exponent in the initial prediction model is 2) is only an exemplary description. In other embodiments, the power exponent in the initial prediction model may also be a value other than 2, which may be set according to actual conditions, and the present invention is not limited thereto. It should also be noted that, as those skilled in the art will appreciate, more details about the pump similarity law can be referred to the relevant technologies known to those skilled in the art, and will not be further described here. In addition, it should be noted that, as those skilled in the art will appreciate, the calibration blood pump and the blood pump to be predicted may be the same type of blood pump, or may be different types of blood pumps.

[0084] In some exemplary embodiments, adjusting the power exponent in the initial prediction model based on the predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the calibrated blood pump at the measured speed includes:

[0085] Obtaining relative error distribution information of the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured;

[0086] According to the relative error distribution information of the initial prediction model, the power exponent in the initial prediction model is adjusted to obtain a standard hemolytic index prediction model.

[0087] Specifically, based on the predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the calibrated blood pump at the speed to be measured, the standard hemolytic index error values ​​of the calibrated blood pump at each flow rate at the speed to be measured can be calculated to obtain relative error distribution information of the initial prediction model. Furthermore, the standard hemolytic index error values ​​of the calibrated blood pump at each flow rate at the speed to be measured can be averaged to obtain an average standard hemolytic index error value of the calibrated blood pump at the speed to be measured. Then, based on the average standard hemolytic index error value of the calibrated blood pump at the speed to be measured, the power exponent in the initial prediction model can be adjusted to obtain a standard hemolytic index prediction model.

[0088] Furthermore, the standard hemolysis index error value of the calibrated blood pump at each flow rate at the speed to be measured can be calculated according to the following formula (3):

[0089]

[0090] in, Indicates the flow rate Q of the calibration blood pump at the speed to be measured i The standard hemolytic index error value under Indicates the flow rate Q of the calibration blood pump at the speed to be measured i The predicted standard hemolytic index under Indicates the flow rate Q of the calibration blood pump at the speed to be measured i The predicted standard hemolytic index under .

[0091] In some exemplary embodiments, obtaining the predicted standard hemolytic index distribution information of the calibrated blood pump at at least one speed to be measured other than the second speed includes:

[0092] Predicted standard hemolytic index distribution information of the calibrated blood pump at a first speed to be measured and a second speed to be measured is obtained, wherein the first speed to be measured is less than the second speed, and the second speed to be measured is greater than the second speed.

[0093] The obtaining of actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured includes:

[0094] Acquire actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured.

[0095] The step of adjusting the power exponent in the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured to obtain a standard hemolysis index prediction model includes:

[0096] According to the predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured, the power exponent in the initial prediction model is adjusted to obtain a standard hemolytic index prediction model.

[0097] Therefore, by obtaining the actual standard hemolytic index distribution information of the calibrated blood pump at the first test speed less than the second speed and the predicted standard hemolytic index distribution information obtained based on the initial prediction model, as well as the actual standard hemolytic index distribution information of the calibrated blood pump at the second test speed greater than the second speed and the predicted standard hemolytic index distribution information obtained based on the initial prediction model, in the process of adjusting the power index in the initial prediction model, the standard hemolytic index distribution of the blood pump at a larger speed and the standard hemolytic index distribution of the blood pump at a smaller speed can be taken into account at the same time, so that the standard hemolytic index prediction model obtained based on the adjustment of the power index in the initial prediction model can be made more accurate, and an adjustment direction can also be provided for the adjustment of the power index in the initial prediction model, which is conducive to quickly completing the adjustment of the power index in the initial prediction model.

[0098] Please refer to Figures 2 to 4 ,in, Figure 2 A distribution curve diagram of the actual standard hemolytic index of a calibrated blood pump at different speeds provided by one embodiment of the present invention; Figure 3 A distribution curve of the predicted standard hemolytic index of a calibrated blood pump at different speeds obtained based on an initial prediction model with a power exponent of 2 provided in one embodiment of the present invention; Figure 4 A comparison of the predicted standard hemolytic index distribution curves of the calibrated blood pump at different speeds obtained based on the initial prediction model with a power exponent of 2 and the standard hemolytic index prediction model with a power exponent of 1.8 provided in one embodiment of the present invention. Figures 2 to 4 As shown in the figure, NIH represents the standard hemolysis index, Q represents the flow rate, curve n1 represents the actual standard hemolysis index distribution curve of the calibration blood pump at the second speed n1, curve n2 represents the actual standard hemolysis index distribution curve of the calibration blood pump at the first speed to be measured n2, curve n3 represents the actual standard hemolysis index distribution curve of the calibration blood pump at the second speed to be measured n3, and curve n 2_ I2 represents the predicted standard hemolysis index distribution curve of the calibration blood pump at the first speed n2 to be measured, which is predicted based on the initial prediction model with a power index of 2. 3_ I2 represents the predicted standard hemolysis index distribution curve of the calibration blood pump at the second speed n3 to be measured, which is predicted based on the initial prediction model with a power index of 2. 2_ I1.8 represents the predicted standard hemolysis index distribution curve of the calibrated blood pump at the first speed n2 to be measured, which is predicted based on the standard hemolysis index prediction model with a power exponent of 1.8. 3_I1.8 represents the predicted standard hemolysis index distribution curve of the calibrated blood pump at the second speed n3 to be measured, which is predicted based on the standard hemolysis index prediction model with a power exponent of 1.8. Figure 3 As shown, the predicted standard hemolysis index distribution curve of the calibration blood pump at the first test speed n2 predicted by the initial prediction model with a power exponent of 2 is well matched with the actual standard hemolysis index distribution curve of the calibration blood pump at the first test speed n2, with an average relative error of -5.5%. The predicted standard hemolysis index distribution curve of the calibration blood pump at the second test speed n3 predicted by the initial prediction model with a power exponent of 2 is also well matched with the actual standard hemolysis index distribution curve of the calibration blood pump at the second test speed n3, with an average relative error of 8.32%. Therefore, it can be seen that the initial prediction model created by the present invention for characterizing the quadratic relationship between the standard hemolysis index NIH and the speed has a certain degree of accuracy.

[0099] In order to further improve the prediction accuracy of the prediction model, it is necessary to adjust the power index between the standard hemolysis index NIH and the rotation speed in the prediction model. Figure 3 From the error distribution of the predicted standard hemolytic index and the actual standard hemolytic index of the calibrated blood pump at the first speed to be measured n2 and the error distribution of the predicted standard hemolytic index and the actual standard hemolytic index of the calibrated blood pump at the second speed to be measured n3, it can be seen that the power exponent of the prediction model needs to be reduced. Therefore, the power exponent of the prediction model is adjusted to 1.8, thereby obtaining the standard hemolytic index prediction model shown in the following formula (4):

[0100]

[0101] It should be noted that, as those skilled in the art will appreciate, the power exponent of the standard hemolytic index prediction model in formula (4) of 1.8 is only an exemplary illustration and does not constitute a limitation of the present invention. The power exponent of the standard hemolytic index prediction model can be any value within the range of 1.0 to 2.5 (including 1.0 and 2.5).

[0102] In order to verify the accuracy of the standard hemolysis index prediction model obtained by adjusting the power exponent of the initial prediction model, the predicted standard hemolysis index distribution information of the calibration blood pump at the first speed to be measured n2 and the second speed to be measured n3 is calculated according to formula (4) to obtain the predicted standard hemolysis index distribution curve of the calibration blood pump at the first speed to be measured n2 and the second speed to be measured n3, and compare it with the corresponding actual standard hemolysis index distribution curve and the predicted standard hemolysis index distribution curve obtained by the initial prediction model with a power exponent of 2. Figure 4 As shown, the predicted standard hemolytic index distribution curve of the calibrated blood pump at the first measured speed n2 predicted by the standard hemolytic index prediction model with a power exponent of 1.8 is better consistent with the actual standard hemolytic index distribution curve of the calibrated blood pump at the first measured speed n2, and the average relative error between the two is -1.7%; the predicted standard hemolytic index distribution curve of the calibrated blood pump at the second measured speed n3 predicted by the standard hemolytic index prediction model with a power exponent of 1.8 is also better consistent with the actual standard hemolytic index distribution curve of the calibrated blood pump at the second measured speed n3, and the average relative error between the two is 2.95%. It can be seen that selecting the standard hemolytic index prediction model with a power exponent of 1.8 can further improve the prediction accuracy.

[0103] In some exemplary embodiments, obtaining actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured includes:

[0104] According to computational fluid dynamics and a hemolysis calculation model, numerical simulation calculations are performed on the hemolysis characteristics of the calibrated blood pump at the first speed to be measured and the second speed to be measured, respectively, to obtain actual standard hemolysis index distribution information of the blood pump to be predicted at the first speed to be measured and the second speed to be measured.

[0105] Specifically, the specific details on how to perform numerical simulation calculations on the hemolysis characteristics of the calibrated blood pump at the first test speed and the second test speed based on existing computational fluid dynamics and hemolysis calculation models can be referred to the above description and will not be repeated here.

[0106] It should be noted that, as those skilled in the art will appreciate, in some other embodiments, the actual standard hemolytic index distribution information of the calibrated blood pump at the first test speed and the second test speed may also be obtained through experimental measurement.

[0107] In some exemplary embodiments, the step of obtaining the standard hemolytic index prediction model further includes:

[0108] obtaining actual standard hemolysis index distribution information of the verification blood pump at a third speed;

[0109] obtaining, based on the actual standard hemolytic index distribution information of the verification blood pump at the third speed and the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model, first predicted standard hemolytic index distribution information of the verification blood pump at at least one speed to be verified other than the third speed;

[0110] Acquire actual standard hemolytic index distribution information of the verification blood pump at the rotation speed to be verified;

[0111] According to the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, the standard hemolytic index prediction model obtained after power exponent adjustment of the initial prediction model is verified, and based on the verification result, the final standard hemolytic index prediction model is obtained.

[0112] Therefore, by using a verification blood pump to verify the standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model, and obtaining the final standard hemolytic index prediction model based on the verification result, the prediction accuracy of the standard hemolytic index prediction model finally obtained can be effectively ensured.

[0113] Preferably, the validation blood pump is a different type of blood pump from the calibration blood pump. Thus, by using a validation blood pump of a different type from the calibration blood pump to validate the standard hemolytic index prediction model obtained by power exponential adjustment of the initial prediction model, the accuracy of the validation results can be effectively guaranteed, thereby ensuring the accuracy of the ultimately obtained standard hemolytic index prediction model.

[0114] In some exemplary embodiments, obtaining first predicted standard hemolytic index distribution information of the verification blood pump at at least one to-be-verified speed other than the third speed includes:

[0115] Obtain first predicted standard hemolytic index distribution information of the verification blood pump at a first speed to be verified and a second speed to be verified, wherein the first speed to be verified is greater than the third speed, and the second speed to be verified is less than the third speed.

[0116] The obtaining of actual standard hemolytic index distribution information of the verification blood pump at the rotation speed to be verified includes:

[0117] Acquire actual standard hemolytic index distribution information of the verification blood pump at the first rotational speed to be verified and the second rotational speed to be verified.

[0118] The method further comprises: verifying the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model based on the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, and obtaining a final standard hemolytic index prediction model based on the verification result, including:

[0119] According to the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the first speed to be verified and the second speed to be verified, the standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model is verified, and based on the verification result, the final standard hemolytic index prediction model is obtained.

[0120] Therefore, by verifying the standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model based on the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at a first speed to be verified that is greater than the third speed, and the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information at a second speed to be verified that is less than the third speed, the accuracy of the verification result can be effectively ensured.

[0121] Specifically, in some embodiments, the actual standard hemolysis index distribution information of the verification blood pump at the third speed, the first speed to be verified, and the second speed to be verified can be obtained based on computational fluid dynamics and hemolysis calculation models. In other embodiments, the actual standard hemolysis index distribution information of the verification blood pump at the third speed, the first speed to be verified, and the second speed to be verified can be obtained by experimental measurement methods.

[0122] In some exemplary embodiments, the verifying the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model based on the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, and obtaining a final standard hemolytic index prediction model based on the verification result, includes:

[0123] acquiring, based on the actual standard hemolytic index distribution information of the verification blood pump at the third speed and the initial prediction model, second predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified;

[0124] Calculating, based on the first predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified and the actual standard hemolytic index distribution information, an average relative error value of the standard hemolytic index prediction model obtained by power exponential adjustment of the initial prediction model;

[0125] Calculating an average relative error value of the initial prediction model based on the second predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified and the actual standard hemolytic index distribution information;

[0126] Determining whether an average relative error value of a standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model is less than an average relative error value of the initial prediction model;

[0127] If so, it is determined that the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model has been verified, and the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model is used as the final standard hemolytic index prediction model.

[0128] Specifically, regarding how to calculate the average relative error value of the standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model based on the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified (including the first speed to be verified and the second speed to be verified), and how to calculate the average relative error value of the initial prediction model based on the second predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified (including the first speed to be verified and the second speed to be verified), you can refer to the relevant content above and will not repeat them here.

[0129] Please continue to refer to Figure 5 and Figure 6 ,in, Figure 5 This is a graph showing the actual standard hemolytic index distribution of a blood pump at different speeds for verification provided by one embodiment of the present invention; Figure 6 A comparison of the predicted standard hemolytic index distribution curves of the verification blood pump at different speeds obtained based on the initial prediction model with a power exponent of 2 and the standard hemolytic index prediction model with a power exponent of 1.8 provided in one embodiment of the present invention. Figure 5 and Figure 6 As shown in the figure, curve n4 represents the actual standard hemolysis index distribution curve of the verification blood pump at the third speed n4, curve n5 represents the actual standard hemolysis index distribution curve of the verification blood pump at the first speed to be verified n5, and curve n6 represents the actual standard hemolysis index distribution curve of the verification blood pump at the second speed to be verified n6. 5_ I2 represents the predicted standard hemolytic index distribution curve of the verification blood pump at the first speed n5 to be verified, which is predicted based on the initial prediction model with a power index of 2. 6_ I2 represents the predicted standard hemolytic index distribution curve of the verification blood pump at the second speed n6 to be verified, which is predicted based on the initial prediction model with a power index of 2. 5_I1.8 represents the predicted standard hemolytic index distribution curve of the verification blood pump at the first speed n5 to be verified, which is predicted based on the standard hemolytic index prediction model with a power exponent of 1.8. 6_ I1.8 represents the predicted standard hemolysis index distribution curve of the verification blood pump at the second speed n6 to be verified, which is predicted based on the standard hemolysis index prediction model with a power exponent of 1.8. Figure 6 As shown, the predicted standard hemolytic index distribution curve of the verification blood pump at the first speed n5 to be verified obtained by the standard hemolytic index prediction model with a power exponent of 1.8 is consistent with the actual standard hemolytic index distribution curve of the verification blood pump at the first speed n5 to be verified, and the average relative error between the two is 2.57%; the predicted standard hemolytic index distribution curve of the verification blood pump at the second speed n6 to be verified obtained by the standard hemolytic index prediction model with a power exponent of 1.8 is consistent with the actual standard hemolytic index distribution curve of the verification blood pump at the second speed n6 to be verified, and the average relative error between the two is -0.76%. Furthermore, calculations show that the average relative error between the predicted standard hemolytic index distribution curve of the verification blood pump at the first speed n5 to be verified, obtained based on the initial prediction model with a power exponent of 2, and the actual standard hemolytic index distribution curve of the verification blood pump at the first speed n5 to be verified, is 7.26%. The average relative error between the predicted standard hemolytic index distribution curve of the verification blood pump at the second speed n6 to be verified, obtained based on the initial prediction model with a power exponent of 2, and the actual standard hemolytic index distribution curve of the verification blood pump at the second speed n6 to be verified, is -0.63%. It can be seen that the standard hemolytic index prediction model with a power exponent of 1.8 has higher accuracy than the initial prediction model with a power exponent of 2, and therefore passes the verification, so that the standard hemolytic index prediction model with a power exponent of 1.8 can be used as the final standard hemolytic index prediction model.

[0130] Furthermore, if the average relative error value of the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model is greater than the average relative error value of the initial prediction model (based on the pump similarity law, this situation generally does not occur), it is determined that the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model has failed the verification. At this time, the initial prediction model needs to be power-adjusted again until the verification passes.

[0131] Based on the same inventive concept, the present invention also provides a mechanical circulation assist system, please refer to Figure 7 , which is a block diagram of a mechanical circulatory assist system provided by one embodiment of the present invention. Figure 7As shown, the mechanical circulatory assist system provided by the present invention includes a communicatively connected blood pump 100 and a controller 200, wherein the controller 200 is configured to implement any of the above-described methods for predicting the standard hemolytic index of a blood pump. Since the mechanical circulatory assist system provided by the present invention and the method for predicting the standard hemolytic index of a blood pump provided by the present invention are part of the same inventive concept, the mechanical circulatory assist system provided by the present invention has at least all the beneficial effects of the method for predicting the standard hemolytic index of a blood pump provided by the present invention. For details, reference can be made to the above description of the beneficial effects of the method for predicting the standard hemolytic index of a blood pump provided by the present invention. Therefore, the beneficial effects of the mechanical circulatory assist system provided by the present invention will not be elaborated on here.

[0132] Based on the same inventive concept, the present invention also provides an electronic device, please refer to Figure 8 , which is a block diagram of an electronic device provided by one embodiment of the present invention. Figure 8 As shown, the electronic device provided by the present invention includes a processor 310 and a memory 330. The memory 330 stores a computer program. When executed by the processor 310, the computer program implements the above-described method for predicting the standard hemolytic index of a blood pump. Because the electronic device provided by the present invention and the method for predicting the standard hemolytic index of a blood pump provided by the present invention are based on the same inventive concept, the electronic device provided by the present invention has at least all the beneficial effects of the method for predicting the standard hemolytic index of a blood pump provided by the present invention. For details, please refer to the above description of the beneficial effects of the method for predicting the standard hemolytic index of a blood pump provided by the present invention. Therefore, the beneficial effects of the electronic device provided by the present invention will not be elaborated on here.

[0133] like Figure 8 As shown, the electronic device further includes a communication interface 320 and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The communication bus 340 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 340 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is used in the figure, but this does not mean that there is only one bus or one type of bus. The communication interface 320 is used for communication between the above-mentioned electronic device and other devices.

[0134] The processor 310 referred to in the present invention may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor. The processor 310 is the control center of the electronic device, connecting various parts of the entire electronic device using various interfaces and lines.

[0135] Furthermore, the memory 330 may be used to store the computer program, and the processor 310 implements various functions of the electronic device by running or executing the computer program stored in the memory 330 and calling the data stored in the memory 330.

[0136] Furthermore, the memory 330 may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable memory (PROM), electrically programmable memory (EPROM), electrically erasable programmable memory (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, random access memory is available in various forms, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous random access memory (SDRAM), double data rate synchronous random access memory (DDRSDRAM), enhanced synchronous random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), RAMbus direct random access memory (RDRAM), direct memory bus dynamic random access memory (DRDRAM), and RAMbus dynamic random access memory (RDRAM).

[0137] The present invention also provides a readable storage medium storing a computer program that, when executed by a processor, can implement the above-described method for predicting the standard hemolytic index of a blood pump. Because the readable storage medium provided by the present invention and the method for predicting the standard hemolytic index of a blood pump provided by the present invention are part of the same inventive concept, the readable storage medium provided by the present invention possesses at least all the beneficial effects of the method for predicting the standard hemolytic index of a blood pump provided by the present invention. For details, reference is made to the above description of the beneficial effects of the method for predicting the standard hemolytic index of a blood pump provided by the present invention. Therefore, a detailed description of the beneficial effects of the readable storage medium provided by the present invention will not be repeated here.

[0138] The readable storage medium provided by the present invention can adopt any combination of one or more computer-readable media. The readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or component of electricity, magnetism, light, electromagnetic, infrared or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer hard disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this article, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0139] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination thereof.

[0140] In summary, compared with the prior art, the blood pump standard hemolytic index prediction method, mechanical circulatory assist system, electronic device, and readable storage medium provided by the present invention have the following advantages:

[0141] The present invention first obtains the actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed; then, based on the actual standard hemolytic index distribution information of the blood pump to be predicted at the first speed and a pre-acquired standard hemolytic index prediction model for characterizing the relationship between the standard hemolytic index of the blood pump and the speed of the blood pump, the predicted standard hemolytic index distribution information of the blood pump to be predicted at any speed other than the first speed can be obtained. Thus, based on the hemolytic characteristics of the blood pump at a certain speed (i.e., the distribution of the standard hemolytic index with flow rate), the present invention can quickly obtain the hemolytic characteristics of the blood pump at other speeds (i.e., the distribution of the standard hemolytic index with flow rate), thereby analyzing the standard hemolytic index of the rotary blood pump under different operating conditions, helping R&D personnel to quickly understand the hemolytic situation of the blood pump, allowing R&D personnel to simply and quickly evaluate the advantages and disadvantages of different design schemes, thereby helping to shorten the R&D cycle of the blood pump and save the R&D cost of the blood pump.

[0142] It should be noted that the computer program code for performing the operations of the present invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0143] It should be noted that the devices and methods disclosed in the embodiments of this document may also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of the devices, methods, and computer program products according to the various embodiments of this document. In this regard, each box in the flowchart or block diagram may represent a module, program, or portion of code, wherein the module, program segment, or portion of code contains one or more executable instructions for implementing a specified logical function, and the module, program segment, or portion of code contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the boxes may also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes may actually be executed substantially in parallel, or they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified function or action, or may be implemented by a combination of dedicated hardware and computer instructions. In addition, the functional modules in the various embodiments of this document may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0144] It should also be noted that the above description is merely a description of preferred embodiments of the present invention and does not limit the scope of the present invention. Any changes or modifications made by persons skilled in the art based on the above disclosure are within the scope of protection of the present invention. Obviously, various modifications and variations may be made by persons skilled in the art without departing from the spirit and scope of the present invention. Thus, provided such modifications and variations fall within the scope of the present invention and its equivalents, the present invention is intended to include such modifications and variations.

Claims

1. A method for predicting the standard hemolytic index of a blood pump, characterized in that: include: Acquiring actual standard hemolysis index distribution information of the blood pump to be predicted at a first speed; Based on the actual standard hemolytic index distribution information of the blood pump to be predicted at a first speed and a pre-established standard hemolytic index prediction model, the predicted standard hemolytic index distribution information of the blood pump to be predicted at any speed other than the first speed is obtained. The standard hemolytic index prediction model is used to characterize the relationship between the standard hemolytic index of the blood pump and the speed of the blood pump.

2. The method for predicting the standard hemolytic index of a blood pump according to claim 1, wherein: The obtaining of actual standard hemolytic index distribution information of the blood pump to be predicted at the first speed includes: According to computational fluid dynamics and a hemolysis calculation model, a numerical simulation calculation is performed on the hemolysis characteristics of the blood pump to be predicted at the first speed to obtain actual standard hemolysis index distribution information of the blood pump to be predicted at the first speed.

3. The method for predicting the standard hemolytic index of a blood pump according to claim 1, wherein: The standard hemolytic index prediction model is established by the following steps: Creating an initial prediction model based on the relationship between head and rotational speed in a pump similarity law, wherein the initial prediction model is used to characterize a preset power relationship between a standard hemolytic index of the blood pump and the rotational speed of the blood pump; obtaining actual standard hemolysis index distribution information of the calibrated blood pump at a second speed; acquiring, based on the actual standard hemolytic index distribution information of the calibrated blood pump at the second speed and the initial prediction model, predicted standard hemolytic index distribution information of the calibrated blood pump at at least one speed to be tested other than the second speed; Obtaining actual standard hemolytic index distribution information of the calibrated blood pump at the speed to be measured; According to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured, the power exponent in the initial prediction model is adjusted to obtain a standard hemolysis index prediction model.

4. The method for predicting the standard hemolytic index of a blood pump according to claim 3, wherein: The adjusting the power index in the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured includes: acquiring relative error distribution information of the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured; According to the relative error distribution information of the initial prediction model, the power exponent in the initial prediction model is adjusted to obtain a standard hemolytic index prediction model.

5. The method for predicting the standard hemolytic index of a blood pump according to claim 3, wherein: The obtaining of the predicted standard hemolytic index distribution information of the calibrated blood pump at at least one speed to be measured other than the second speed includes: Acquire predicted standard hemolytic index distribution information of the calibrated blood pump at a first speed to be measured and a second speed to be measured, wherein the first speed to be measured is less than the second speed, and the second speed to be measured is greater than the second speed; The obtaining of actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured includes: Acquiring actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured; The step of adjusting the power exponent in the initial prediction model according to the predicted standard hemolysis index distribution information and the actual standard hemolysis index distribution information of the calibrated blood pump at the speed to be measured to obtain a standard hemolysis index prediction model includes: According to the predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the calibrated blood pump at the first speed to be measured and the second speed to be measured, the power exponent in the initial prediction model is adjusted to obtain a standard hemolytic index prediction model.

6. The method for predicting the standard hemolytic index of a blood pump according to claim 3, wherein: The step of obtaining the standard hemolytic index prediction model further includes: obtaining actual standard hemolysis index distribution information of the verification blood pump at a third speed; obtaining, based on the actual standard hemolytic index distribution information of the verification blood pump at the third speed and the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model, first predicted standard hemolytic index distribution information of the verification blood pump at at least one speed to be verified other than the third speed; Acquire actual standard hemolytic index distribution information of the verification blood pump at the rotation speed to be verified; According to the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, the standard hemolytic index prediction model obtained after power exponent adjustment of the initial prediction model is verified, and based on the verification result, the final standard hemolytic index prediction model is obtained.

7. The method for predicting the standard hemolytic index of a blood pump according to claim 6, wherein: The method further comprises: verifying the standard hemolytic index prediction model obtained by power exponent adjustment of the initial prediction model based on the first predicted standard hemolytic index distribution information and the actual standard hemolytic index distribution information of the verification blood pump at the speed to be verified, and obtaining a final standard hemolytic index prediction model based on the verification result, including: acquiring, based on the actual standard hemolytic index distribution information of the verification blood pump at the third speed and the initial prediction model, second predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified; Calculating, based on the first predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified and the actual standard hemolytic index distribution information, an average relative error value of the standard hemolytic index prediction model obtained by power exponential adjustment of the initial prediction model; Calculating an average relative error value of the initial prediction model based on the second predicted standard hemolytic index distribution information of the verification blood pump at the speed to be verified and the actual standard hemolytic index distribution information; Determining whether an average relative error value of a standard hemolytic index prediction model obtained after power exponential adjustment of the initial prediction model is less than an average relative error value of the initial prediction model; If so, it is determined that the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model has been verified, and the standard hemolytic index prediction model obtained after the power exponent adjustment of the initial prediction model is used as the final standard hemolytic index prediction model.

8. The method for predicting the standard hemolytic index of a blood pump according to claim 1, wherein: The expression of the standard hemolytic index prediction model is as follows: Among them, NIH1 represents the actual standard hemolysis index of the blood pump at the speed n1, NIH i Indicates that the blood pump is at a speed n i The predicted standard hemolysis index under , m is the power index, and the value range of m is 1.0~2.

5.

9. A mechanical circulatory assist system, characterized in that: The method comprises a blood pump and a controller in communication with each other, wherein the controller is configured to implement the blood pump standard hemolytic index prediction method according to any one of claims 1 to 8.

10. An electronic device, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method for predicting the standard hemolytic index of a blood pump according to any one of claims 1 to 8 is implemented.

11. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for predicting the standard hemolytic index of a blood pump according to any one of claims 1 to 8 is implemented.

Images