A method, system and device for determining an optimization scheme for the performance of an artificial heart based on hemodynamic indexes

Abstract

The present application discloses a method, system and device for determining an artificial heart performance optimization scheme based on hemodynamic indexes, which relates to the medical field. The method includes: determining optimal data (physiological parameters and cardiovascular parameters) based on multiple groups of preoperative and postoperative physiological parameters and preoperative and postoperative cardiovascular geometric models; performing simulation calculations on the preoperative and postoperative cardiovascular geometric models based on the optimal data to obtain preoperative and postoperative hemodynamic indexes; comparing the preoperative and postoperative hemodynamic indexes to determine the screened hemodynamic indexes; determining the key hemodynamic indexes by using a COX regression data model based on the screened hemodynamic indexes and the patient's postoperative physical health status; and determining an artificial heart performance optimization scheme based on the key hemodynamic indexes. The present application can screen out the key hemodynamic indexes that have an obvious impact on the patient's physical health status, and use them as the optimization targets for future artificial heart implantation to realize the optimization of artificial heart performance.

Description

Technical Field

[0001] The present application relates to the field of medicine, and particularly to a method, system and device for determining an optimization scheme for the performance of an artificial heart based on hemodynamic indexes. Background Art

[0002] The number of global heart failure patients is increasing year by year. Heart transplantation remains the best treatment for advanced heart failure, but the severe shortage of heart donors has promoted the application and development of artificial hearts in clinics. Currently, the surgical implantation schemes of artificial hearts mostly rely on doctors' experience, and the settings of artificial heart pumps are mostly at a constant speed, resulting in a series of complications after patients implant artificial hearts, affecting the life health and quality of life of patients. Currently, safely and reasonably controlling the speed of artificial hearts according to the physiological state of patients has become a research hotspot and challenge. Current research mostly focuses on the hydraulic performance and hemolytic performance of artificial hearts themselves, the feedback control of patients' physiological parameters and artificial heart parameters, and the monitoring of health indexes such as patients' heart rate and blood pressure. There is no systematic evaluation of the impact of artificial heart implantation on patients' cardiovascular system and even physical health status, so the performance of artificial hearts cannot be reasonably optimized, providing important theoretical basis and technical support for the clinical application of artificial hearts. Summary of the Invention

[0003] The purpose of the present application is to provide a method, system and device for determining an optimization scheme for the performance of an artificial heart based on hemodynamic indexes, which can screen out hemodynamic indexes that have a significant impact on the physical health status of patients and use them as the key optimization targets for artificial heart implantation in future surgeries, so as to realize the optimization of the performance of artificial hearts.

[0004] To achieve the above purpose, the present application provides the following solutions.

[0005] In a first aspect, the present application provides a method for determining an optimization scheme for the performance of an artificial heart based on hemodynamic indexes, including:

[0006] Constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of the patient;

[0007] Obtaining multiple groups of preoperative physiological parameters and multiple groups of postoperative physiological parameters of the patient;

[0008] Determining optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on multiple groups of preoperative physiological parameters, multiple groups of postoperative physiological parameters, the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model; the cardiovascular parameters include resistance and capacitance;

[0009] Based on the optimal preoperative physiological parameters, optimal postoperative physiological parameters, and optimal cardiovascular parameters, perform simulation calculations on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model to obtain the preoperative hemodynamic indexes and the postoperative hemodynamic indexes;

[0010] Compare the preoperative hemodynamic indexes and the postoperative hemodynamic indexes to determine the selected hemodynamic indexes;

[0011] Based on the selected hemodynamic indexes and the patient's postoperative physical health status, use the COX regression data model to determine the key hemodynamic indexes;

[0012] Based on the key hemodynamic indexes, determine the optimization scheme for the performance of the artificial heart.

[0013] In a second aspect, the present application provides a system for determining an optimization scheme for the performance of an artificial heart based on hemodynamic indexes, including:

[0014] A cardiovascular geometric model construction module for constructing a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of a patient;

[0015] A physiological parameter acquisition module for acquiring multiple groups of preoperative physiological parameters and multiple groups of postoperative physiological parameters of a patient;

[0016] An optimal data determination module for determining the optimal preoperative physiological parameters, optimal postoperative physiological parameters, and optimal cardiovascular parameters based on multiple groups of preoperative physiological parameters, multiple groups of postoperative physiological parameters, the preoperative cardiovascular geometric model, and the postoperative cardiovascular geometric model; the cardiovascular parameters include resistance and capacitance;

[0017] A hemodynamic index determination module for performing simulation calculations on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model based on the optimal preoperative physiological parameters, optimal postoperative physiological parameters, and optimal cardiovascular parameters to obtain the preoperative hemodynamic indexes and the postoperative hemodynamic indexes;

[0018] A selected hemodynamic index determination module for comparing the preoperative hemodynamic indexes and the postoperative hemodynamic indexes to determine the selected hemodynamic indexes;

[0019] A key hemodynamic index determination module for determining the key hemodynamic indexes based on the selected hemodynamic indexes and the patient's postoperative physical health status by using the COX regression data model;

[0020] A performance optimization scheme determination module for determining an optimization scheme for the performance of the artificial heart based on the key hemodynamic indexes.

[0021] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the above-mentioned method for determining an artificial heart performance optimization scheme based on hemodynamic indexes.

[0022] According to the specific embodiments provided by the present application, the present application has the following technical effects: The present application provides a method, a system, and a device for determining an artificial heart performance optimization scheme based on hemodynamic indexes. By using the determined optimal parameters (optimal preoperative physiological parameters, optimal postoperative physiological parameters, and optimal cardiovascular parameters) as the simulation input and output conditions of geometric models (preoperative cardiovascular geometric model and postoperative cardiovascular geometric model), hemodynamic indexes before and after surgery are obtained; and key hemodynamic indexes affecting the patient's postoperative physical health status are screened out through a COX regression data model, and then an artificial heart performance optimization scheme can be determined, that is, quantitative analysis of the key hemodynamic indexes is performed, which is used as the key optimization target for future surgical implantation of an artificial heart, provides a reference basis for developing a safer and more practical artificial heart for the human body, provides strong support for the long-term health management of patients, thereby improving the patient's quality of life and extending the survival period. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 It is a schematic flowchart of a method for determining an artificial heart performance optimization scheme based on hemodynamic indexes provided by an embodiment of the present application.

[0025] Figure 2 It is a schematic diagram of the functional modules of a system for determining an artificial heart performance optimization scheme based on hemodynamic indexes provided by an embodiment of the present application.

[0026] Figure 3 It is a schematic diagram of the structure of a computer device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0028] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] In an exemplary embodiment, as Figure 1 shown, a method for determining an artificial heart performance optimization scheme based on hemodynamic indexes is provided. This method is executed by a computer device, specifically, it can be executed alone by a computer device such as a terminal or a server, or jointly executed by a terminal and a server. In the embodiments of the present application, taking the application of this method to a server as an example for illustration, it includes the following steps S1 to step S7. S1: Construct a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of the patient. Step S1 specifically includes steps S11 - step S13.

[0030] S11: Obtain the preoperative medical image data and the postoperative medical image data of the patient.

[0031] Specifically, the obtained medical image data is the medical image data obtained by enhanced CT or enhanced MR scanning, and the scanning may include or not include the coronary artery.

[0032] S12: Based on the preoperative medical image data and the postoperative medical image data, use an image reconstruction method to construct a preoperative three-dimensional cardiovascular model and a postoperative three-dimensional cardiovascular model of the patient.

[0033] Specifically, the image reconstruction method includes, but is not limited to, one or a combination of image processing software, threshold method, region growing method, level set method, and artificial intelligence algorithms.

[0034] S13: Perform optimization processing and material parameter definition on the preoperative three-dimensional cardiovascular model and the postoperative three-dimensional cardiovascular model to obtain the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model of the patient.

[0035] Specifically, perform optimization processing on the two three-dimensional cardiovascular models. The processing methods include, but are not limited to, one or a combination of model processing software, smoothing, repairing, denoising, and shearing the inlet and outlet, so that on the one hand, it is closer to the real blood vessel wall surface, and on the other hand, it is convenient for subsequent mesh generation and simulation calculation.

[0036] Define the material parameters for two three-dimensional cardiovascular models. The material parameters are blood fluid (blood viscosity, density) and vascular solid parameters (Young's modulus, Poisson's ratio, density). After specifying the inlet, outlet, and wall surfaces, perform mesh division. The mesh uses tetrahedral meshes, and the maximum size should not exceed 10 mm. The boundary layer is set to 5 layers; specify the blood viscosity as 0.0035 Pa·s and the blood density as 1060 kg / m 3 .

[0037] S2: Obtain multiple groups of preoperative physiological parameters and multiple groups of postoperative physiological parameters of the patient. The preoperative physiological parameters and the postoperative physiological parameters both include: blood pressure parameters and stroke volume.

[0038] S3: Determine the optimal preoperative physiological parameters, optimal postoperative physiological parameters, and optimal cardiovascular parameters based on multiple groups of preoperative physiological parameters, multiple groups of postoperative physiological parameters, preoperative cardiovascular geometric models, and postoperative cardiovascular geometric models; the cardiovascular parameters include resistance and capacitance. Step S3 specifically includes steps S31 - S33.

[0039] S31: Under each group of preoperative physiological parameters, calculate the preoperative cardiovascular parameters through the morphological parameters of the preoperative cardiovascular geometric model.

[0040] Before surgery, measure the patient's blood pressure parameters, stroke volume, and other related physiological parameters through medical devices or intelligent devices. By measuring the morphological parameters of each branch of the patient's preoperative cardiovascular geometric model, calculate the resistance and capacitance of each branch of the cardiovascular system of multiple groups of patients. The resistance R can be calculated by the following formula: , where is the viscosity coefficient of the blood, L is the blood vessel length, and r is the blood vessel radius. The capacitance C can be calculated by the following formula: C , where is the blood vessel wall thickness, and P is the pulse pressure difference.

[0041] S32: Under each group of postoperative physiological parameters, calculate the postoperative cardiovascular parameters through the morphological parameters of the postoperative cardiovascular geometric model.

[0042] Obtain the performance parameters of the artificial heart during in vitro testing, including the flow rate corresponding to the rotational speed, outlet pressure, head, etc. After the artificial heart is implanted into the patient's body, adjust the rotational speed within a certain range, obtain the relevant physiological parameters at each rotational speed, and obtain the postoperative cardiovascular parameters according to the method in step S31.

[0043] S33: By comparing the preoperative cardiovascular parameters and the postoperative cardiovascular parameters, determine the optimal preoperative physiological parameters, the optimal postoperative physiological parameters, and the optimal cardiovascular parameters. Specifically, compare the preoperative cardiovascular parameters and the postoperative cardiovascular parameters to obtain the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference; use the physiological parameters corresponding to the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference as the optimal preoperative physiological parameters and the optimal postoperative physiological parameters; use the average value of the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference as the optimal cardiovascular parameters.

[0044] Specifically, in this embodiment, considering that the resistance and capacitance of the patient's cardiovascular system remain unchanged in the short term, select two sets of the closest preoperative and postoperative cardiovascular parameters as the true values of this patient, and use the average value of the two as the optimal resistance and the optimal capacitance.

[0045] S4: Based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters, and the optimal cardiovascular parameters, perform simulation calculations on the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model to obtain the preoperative hemodynamic indexes and the postoperative hemodynamic indexes. The preoperative hemodynamic indexes and the postoperative hemodynamic indexes both include: intravascular hemodynamic parameters and vascular inlet and outlet hemodynamic parameters; the intravascular hemodynamic parameters include the velocity, pressure, wall shear stress, oscillatory shear index, particle residence time, and vorticity in the blood vessel; the vascular inlet and outlet hemodynamic parameters include the blood flow, pressure, and flow velocity at the vascular inlet and outlet.

[0046] Step S4 specifically includes steps S41 - S42.

[0047] S41: Use the optimal preoperative physiological parameters as the boundary inlet conditions of each blood vessel in the preoperative cardiovascular geometric model, and use the optimal cardiovascular parameters as the outlet conditions of each blood vessel in the preoperative cardiovascular geometric model. Solve the blood flow conditions of each blood vessel using the Navier - Stokes equation to obtain the preoperative hemodynamic indexes.

[0048] S42: Use the optimal postoperative physiological parameters as the boundary inlet conditions of each artificial blood vessel in the postoperative cardiovascular geometric model, and use the optimal cardiovascular parameters as the outlet conditions of each artificial blood vessel in the postoperative cardiovascular geometric model. Solve the blood flow conditions of each artificial blood vessel using the Navier - Stokes equation to obtain the postoperative hemodynamic indexes.

[0049] In this embodiment, the optimal physiological parameters (optimal preoperative physiological parameters or optimal postoperative physiological parameters) at multiple time points within one cardiac cycle measured are used as the aortic inlet boundary conditions, the flow rate corresponding to the rotation speed set for the artificial blood vessel (if any) is used as the artificial blood vessel inlet boundary condition, the outlet conditions of each branch blood vessel are the optimal cardiovascular parameters, and the Navier-Stokes equation is used to solve the blood flow situation within the patient's blood vessels under two cardiac cycles, so as to obtain hemodynamic parameters such as velocity, pressure, wall shear stress, oscillatory shear index, particle residence time, vorticity, etc. within the patient's cardiovascular system, as well as relevant hemodynamic parameters such as blood flow rate, pressure, and flow velocity at the inlets and outlets of each blood vessel.

[0050] S5: Compare the preoperative hemodynamic indexes and the postoperative hemodynamic indexes to determine the screened hemodynamic indexes. Specifically, compare the preoperative hemodynamic indexes and the postoperative hemodynamic indexes, and delete the postoperative hemodynamic indexes whose difference from the preoperative hemodynamic indexes is greater than the difference threshold to obtain the screened hemodynamic indexes.

[0051] S6: Based on the screened hemodynamic indexes and the patient's postoperative physical health status, use the COX regression data model to determine the key hemodynamic indexes.

[0052] In this embodiment, the patient is followed up for 5 years, and in combination with the patient's physical health status and the changes in hemodynamic indexes, the long-term impact of implanting an artificial heart on the patient's physical health status is evaluated. A COX regression data model is established based on the hemodynamic indexes screened in step S5 and the follow-up results (i.e., the patient's postoperative physical health status) to find out the indexes that have an obvious impact on the patient's physical health status, which are used as the key optimization targets for the surgical implantation of artificial hearts for more patients in the future.

[0053] S7: Determine the artificial heart performance optimization plan based on the key hemodynamic indexes.

[0054] The key hemodynamic indexes are identified through step S6 and quantitatively analyzed through statistical parameters such as the hazard ratio. This provides a scientific and systematic tool for clinicians for personalized treatment and optimization of the patient management plan. At the same time, the COX regression model also helps to compare between different patient groups to further optimize the long-term effect of artificial heart treatment.

[0055] This application can provide strong support for the long-term health management of patients based on the accurate assessment of hemodynamic and physiological changes, thereby improving the patient's quality of life and prolonging the survival period.

[0056] Based on the same inventive concept, an embodiment of the present application also provides a system for determining an artificial heart performance optimization scheme based on hemodynamic indexes. The implementation scheme provided by this system to solve the problem is similar to the implementation scheme described in the above method. Therefore, the specific limitations in one or more embodiments of the system for determining an artificial heart performance optimization scheme based on hemodynamic indexes provided below can refer to the limitations on the method for determining an artificial heart performance optimization scheme based on hemodynamic indexes in the foregoing, and will not be elaborated herein.

[0057] In an exemplary embodiment, as Figure 2 shown, a system for determining an artificial heart performance optimization scheme based on hemodynamic indexes is provided, including the following modules.

[0058] A cardiovascular geometry model construction module 101, configured to construct a preoperative cardiovascular geometry model and a postoperative cardiovascular geometry model of a patient.

[0059] A physiological parameter acquisition module 102, configured to acquire multiple groups of preoperative physiological parameters and multiple groups of postoperative physiological parameters of the patient.

[0060] An optimal data determination module 103, configured to determine optimal preoperative physiological parameters, optimal postoperative physiological parameters, and optimal cardiovascular parameters based on multiple groups of preoperative physiological parameters, multiple groups of postoperative physiological parameters, the preoperative cardiovascular geometry model, and the postoperative cardiovascular geometry model; the cardiovascular parameters include resistance and capacitance.

[0061] A hemodynamic index determination module 104, configured to perform simulation calculations on the preoperative cardiovascular geometry model and the postoperative cardiovascular geometry model based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters, and the optimal cardiovascular parameters, to obtain preoperative hemodynamic indexes and postoperative hemodynamic indexes.

[0062] A determined hemodynamic index screening module 105, configured to compare the preoperative hemodynamic indexes and the postoperative hemodynamic indexes to determine the screened hemodynamic indexes.

[0063] A key hemodynamic index determination module 106, configured to determine key hemodynamic indexes by using a COX regression data model based on the screened hemodynamic indexes and the postoperative physical health status of the patient.

[0064] A performance optimization scheme determination module 107, configured to determine an artificial heart performance optimization scheme based on the key hemodynamic indexes.

[0065] In an exemplary embodiment, a computer device is provided, which includes a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented. The computer device can be a server or a terminal, and its internal structure diagram can be as shown in Figure 3 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data to be processed. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining an artificial heart performance optimization scheme based on hemodynamic indexes is implemented.

[0066] Those skilled in the art can understand that Figure 3 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, which includes a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0067] In an exemplary embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0068] In an exemplary embodiment, a computer program product is provided, which includes a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0069] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0070] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0071] The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0072] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0073] In this text, specific examples are used to illustrate the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for determining an artificial heart performance optimization scheme based on hemodynamic indicators, characterized in that: include: Constructing a preoperative cardiovascular geometry model and a postoperative cardiovascular geometry model of the patient; Obtain multiple sets of preoperative and postoperative physiological parameters of the patient; Under each set of preoperative physiological parameters, preoperative cardiovascular parameters were calculated using the morphological parameters of the preoperative cardiovascular geometric model; Under each group of postoperative physiological parameters, postoperative cardiovascular parameters were calculated using the morphological parameters of the postoperative cardiovascular geometric model; Compare the preoperative cardiovascular parameters with the postoperative cardiovascular parameters to obtain the preoperative cardiovascular parameters and postoperative cardiovascular parameters with the smallest difference; The physiological parameters corresponding to the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference are taken as the optimal preoperative physiological parameters and the optimal postoperative physiological parameters; The mean of the preoperative cardiovascular parameter with the smallest difference and the postoperative cardiovascular parameter is taken as the optimal cardiovascular parameter; the cardiovascular parameters include resistance and capacitance; by measuring the morphological parameters of each branch of the patient's preoperative cardiovascular geometric model, the resistance and capacitance of each cardiovascular branch of multiple groups of patients are calculated; The resistance R is calculated by the following formula: ,in, is the viscosity coefficient of blood, L is the length of the blood vessel, r is the radius of the blood vessel, and the capacitance C is calculated by the following formula: C ,in is the thickness of the blood vessel wall, P is the pulse pressure difference; Based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters and the optimal cardiovascular parameters, the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model are simulated and calculated to obtain the preoperative hemodynamic index and the postoperative hemodynamic index, specifically including: taking the optimal preoperative physiological parameters as the boundary entrance conditions of each blood vessel in the preoperative cardiovascular geometric model, taking the optimal cardiovascular parameters as the exit conditions of each blood vessel in the preoperative cardiovascular geometric model, using the Navier-Stokes equation to solve the blood flow of each blood vessel, and obtaining the preoperative hemodynamic index; taking the optimal postoperative physiological parameters as the boundary entrance conditions of each artificial blood vessel in the postoperative cardiovascular geometric model, taking the optimal cardiovascular parameters as the exit conditions of each artificial blood vessel in the postoperative cardiovascular geometric model, using the Navier-Stokes equation to solve the blood flow of each artificial blood vessel, and obtaining the postoperative hemodynamic index; Comparing the preoperative hemodynamic index with the postoperative hemodynamic index to determine the hemodynamic index after screening, specifically including: comparing the preoperative hemodynamic index with the postoperative hemodynamic index, deleting the postoperative hemodynamic index whose difference with the preoperative hemodynamic index is greater than the difference threshold, and obtaining the hemodynamic index after screening; Based on the screened hemodynamic indicators and the patient's postoperative physical health status, the COX regression data model was used to determine the key hemodynamic indicators; An artificial heart performance optimization scheme is determined based on the key hemodynamic indicators.

2. The method for determining an artificial heart performance optimization scheme based on hemodynamic indicators according to claim 1, characterized in that: Construct the patient's preoperative cardiovascular geometry model and postoperative cardiovascular geometry model, including: Obtaining the patient's preoperative medical imaging data and postoperative medical imaging data; Based on the preoperative medical imaging data and the postoperative medical imaging data, the image reconstruction method is used to construct the patient's preoperative 3D cardiovascular model and the postoperative 3D cardiovascular model; The preoperative three-dimensional cardiovascular model and the postoperative three-dimensional cardiovascular model are optimized and material parameters are defined to obtain the patient's preoperative cardiovascular geometry model and postoperative cardiovascular geometry model.

3. The method for determining an artificial heart performance optimization scheme based on hemodynamic indicators according to claim 1, characterized in that: The preoperative physiological parameters and the postoperative physiological parameters both include: blood pressure parameters and stroke volume.

4. The method for determining an artificial heart performance optimization scheme based on hemodynamic indicators according to claim 1, characterized in that: The preoperative hemodynamic indices and the postoperative hemodynamic indices both include: intravascular hemodynamic parameters and vascular inlet and outlet hemodynamic parameters; the intravascular hemodynamic parameters include intravascular velocity, pressure, wall shear force, oscillation shear index, particle retention time and vorticity; the vascular inlet and outlet hemodynamic parameters include blood flow, pressure and flow velocity at the vascular inlet and outlet.

5. A system for determining an artificial heart performance optimization solution based on hemodynamic indicators, applied to the method for determining an artificial heart performance optimization solution based on hemodynamic indicators according to any one of claims 1 to 4, characterized in that: include: A cardiovascular geometry model building module, used to build a preoperative cardiovascular geometry model and a postoperative cardiovascular geometry model of a patient; A physiological parameter acquisition module is used to obtain multiple sets of preoperative physiological parameters and multiple sets of postoperative physiological parameters of the patient; An optimal data determination module, used to determine optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters based on multiple groups of preoperative physiological parameters, multiple groups of postoperative physiological parameters, a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model; the cardiovascular parameters include resistance and capacitance; A hemodynamic index determination module is used to simulate and calculate the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model based on the optimal preoperative physiological parameters, the optimal postoperative physiological parameters and the optimal cardiovascular parameters to obtain the preoperative hemodynamic index and the postoperative hemodynamic index; A module for determining the hemodynamic index after screening, which is used to compare the hemodynamic index before surgery and the hemodynamic index after surgery to determine the hemodynamic index after screening; A key hemodynamic index determination module is used to determine the key hemodynamic indexes using a COX regression data model based on the screened hemodynamic indexes and the patient's postoperative physical health status; A performance optimization scheme determination module is used to determine an artificial heart performance optimization scheme based on the key hemodynamic indicators.

6. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining an artificial heart performance optimization scheme based on hemodynamic indicators as described in any one of claims 1 to 4.

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