Method, system and equipment for determining artificial heart performance optimization scheme based on hemodynamic indexes

Abstract

The invention discloses an artificial heart performance optimization scheme determination method, system and device based on hemodynamic indexes, and relates to the field of medicines.The method comprises the steps that optimal data (physiological parameters and cardiovascular parameters) are determined based on multiple sets of preoperative and postoperative physiological parameters and preoperative and postoperative cardiovascular geometric models; performing simulation calculation on the preoperative and postoperative cardiovascular geometric models based on the optimal data to obtain preoperative and postoperative hemodynamic indexes; comparing the hemodynamic indexes before the operation with the hemodynamic indexes after the operation, and determining the hemodynamic indexes after screening; based on the screened haemodynamic indexes and the postoperative body health state of the patient, determining key haemodynamic indexes by adopting a COX regression data model; and determining an artificial heart performance optimization scheme based on the key hemodynamic indexes. According to the method, the key hemodynamic indexes having obvious influence on the body health state of the patient can be screened out to serve as an optimization target of artificial heart implantation in the future, and artificial heart performance optimization is achieved.

Description

Technical Field

[0001] The present application relates to the medical field, and in particular to a method, system and device for determining an artificial heart performance optimization scheme based on hemodynamic indicators. Background Art

[0002] The number of patients with heart failure is increasing year by year around the world. Heart transplantation is still the best option for treating advanced heart failure, but there is a serious shortage of heart donors, which has promoted the application and development of artificial hearts in clinical practice. At present, the surgical implantation of artificial hearts is mostly based on the doctor's experience, and the artificial heart pump is mostly set at a constant speed, which leads to a series of complications after the implantation of the artificial heart, affecting the patient's life, health and quality of life. At present, it has become a hot topic and challenge to safely and reasonably control the speed of the artificial heart according to the patient's physiological state. Current research focuses on the water performance and hemolytic performance of the artificial heart itself, the feedback control of the patient's physiological parameters and artificial heart parameters, and the monitoring of health indicators such as the patient's heart rate and blood pressure. There is no systematic evaluation of the impact of the artificial heart implantation on the patient's cardiovascular system, and even the impact on the patient's physical health status, so it is impossible to reasonably optimize the performance of the artificial heart, which provides an important theoretical basis and technical support for the clinical application of the artificial heart. Summary of the invention

[0003] The purpose of this application is to provide a method, system and equipment for determining an artificial heart performance optimization plan based on hemodynamic indicators, which can screen out hemodynamic indicators that have a significant impact on the patient's physical health status as the key optimization target for subsequent surgical implantation of an artificial heart, thereby achieving optimization of artificial heart performance.

[0004] To achieve the above objectives, this application provides the following solutions.

[0005] In a first aspect, the present application provides a method for determining an artificial heart performance optimization scheme based on hemodynamic indicators, comprising: 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; 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, a preoperative cardiovascular geometric model, and a postoperative cardiovascular geometric model; the cardiovascular parameters include resistance and capacitance; Based on the optimal preoperative physiological parameters, optimal postoperative physiological parameters and 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; Compare the preoperative hemodynamic indices with the postoperative hemodynamic indices to determine the hemodynamic indices 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.

[0006] In a second aspect, the present application provides a system for determining an artificial heart performance optimization solution based on hemodynamic indicators, comprising: 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.

[0007] In a third aspect, the present application provides 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 above-mentioned method for determining an artificial heart performance optimization scheme based on hemodynamic indicators.

[0008] According to the specific embodiments provided in the present application, the present application has the following technical effects: the present application provides a method, system and device for determining an artificial heart performance optimization scheme based on hemodynamic indicators, by determining the optimal parameters (optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters) as the simulation input and output conditions of the geometric model (preoperative cardiovascular geometric model and postoperative cardiovascular geometric model), the preoperative and postoperative hemodynamic indicators are obtained; and the key hemodynamic indicators that affect the patient's postoperative physical health status are screened out through the COX regression data model, and then the artificial heart performance optimization scheme can be determined, that is, the key hemodynamic indicators are quantitatively analyzed as the key optimization target for future surgical implantation of artificial hearts, providing a reference basis for the research and development of artificial hearts that are safer and more practical for the human body, and providing strong support for the long-term health management of patients, thereby improving the quality of life of patients and prolonging their survival. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0010] Figure 1 A flowchart of a method for determining an artificial heart performance optimization solution based on hemodynamic indicators provided in one embodiment of the present application.

[0011] Figure 2 A schematic diagram of the functional modules of a system for determining an artificial heart performance optimization solution based on hemodynamic indicators provided in one embodiment of the present application.

[0012] Figure 3 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0014] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0015] In an exemplary embodiment, Figure 1 As shown, a method for determining an artificial heart performance optimization scheme based on hemodynamic indicators is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to a server as an example for explanation, including the following steps S1 to S7. S1: Construct a preoperative cardiovascular geometry model and a postoperative cardiovascular geometry model of the patient. Step S1 specifically includes steps S11 to S13.

[0016] S11: Acquire the patient's preoperative medical imaging data and postoperative medical imaging data.

[0017] Specifically, the acquired medical image data is medical image data of enhanced CT or enhanced MR scanning, and the scanning may include coronary arteries or exclude coronary arteries.

[0018] S12: Based on the preoperative medical imaging data and the postoperative medical imaging data, an image reconstruction method is used to construct a preoperative three-dimensional cardiovascular model and a postoperative three-dimensional cardiovascular model of the patient.

[0019] Specifically, the image reconstruction method includes, but is not limited to, a combination of one or more of image processing software, threshold method, region growing method, level set method, and artificial intelligence algorithm.

[0020] S13: Optimizing the preoperative three-dimensional cardiovascular model and the postoperative three-dimensional cardiovascular model and defining material parameters to obtain the patient's preoperative cardiovascular geometric model and postoperative cardiovascular geometric model.

[0021] Specifically, two three-dimensional cardiovascular models are optimized, and the processing methods include but are not limited to a combination of one or more of model processing software, smoothing, patching, denoising, and cutting entrances and exits, so that they are closer to the real blood vessel wall on the one hand, and are convenient for subsequent meshing and simulation calculations on the other hand.

[0022] The material parameters of the two three-dimensional cardiovascular models are defined separately. The material parameters are blood fluid (blood viscosity, density) and vascular solid parameters (Young's modulus, Poisson's ratio, density). The mesh is divided after specifying the inlet and outlet and the wall. The mesh uses a tetrahedral mesh with a maximum size of no more than 10 mm and a boundary layer of 5 layers. The blood viscosity is specified as 0.0035 Pa·s and the blood density is 1060 kg / m 3 .

[0023] S2: Acquire multiple sets of preoperative physiological parameters and multiple sets of postoperative physiological parameters of the patient. The preoperative physiological parameters and the postoperative physiological parameters both include: blood pressure parameters and stroke volume.

[0024] S3: 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, preoperative cardiovascular geometric models and postoperative cardiovascular geometric models; the cardiovascular parameters include resistance and capacitance. Step S3 specifically includes steps S31 to S33.

[0025] S31: Under each set of preoperative physiological parameters, the preoperative cardiovascular parameters are calculated using the morphological parameters of the preoperative cardiovascular geometric model.

[0026] Before surgery, the patient's blood pressure parameters, stroke volume and other related physiological parameters are measured by medical devices or smart devices. By measuring the morphological parameters of each branch of the patient's preoperative cardiovascular geometric model, the resistance and capacitance of each branch of the cardiovascular system of multiple groups of patients are calculated. The resistance R can be calculated using the following formula: ,in, is the viscosity coefficient of blood, L is the length of the blood vessel, and r is the radius of the blood vessel. The capacitance C can be calculated by the following formula: C ,in is the thickness of the blood vessel wall and P is the pulse pressure.

[0027] S32: Under each set of postoperative physiological parameters, the postoperative cardiovascular parameters are calculated using the morphological parameters of the postoperative cardiovascular geometric model.

[0028] The performance parameters of the artificial heart in vitro test are obtained, including the flow rate, outlet pressure, head, etc. corresponding to the rotation speed. After the artificial heart is implanted in the patient, the rotation speed is adjusted within a certain range, and relevant physiological parameters are obtained at each rotation speed, and the postoperative cardiovascular parameters are obtained according to the method of step S31.

[0029] S33: Determine the optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters by comparing the preoperative cardiovascular parameters and the postoperative 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 of the preoperative cardiovascular parameters and the postoperative cardiovascular parameters with the smallest difference as the optimal cardiovascular parameters.

[0030] Specifically, this embodiment considers that the patient's cardiovascular resistance and capacitance remain unchanged in the short term, selects two sets of closest preoperative and postoperative cardiovascular parameters as the patient's true values, and uses the average of the two as the optimal resistance and optimal capacitance.

[0031] S4: 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. The preoperative hemodynamic index and the postoperative hemodynamic index 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.

[0032] Step S4 specifically includes step S41 and step S42.

[0033] S41: The optimal preoperative physiological parameters are used as the boundary inlet conditions of each blood vessel in the preoperative cardiovascular geometric model, and the optimal cardiovascular parameters are used as the outlet conditions of each blood vessel in the preoperative cardiovascular geometric model. The Navier-Stokes equation is used to solve the blood flow conditions of each blood vessel to obtain the preoperative hemodynamic indicators.

[0034] S42: The optimal postoperative physiological parameters are used as the boundary inlet conditions of each artificial blood vessel in the postoperative cardiovascular geometric model, and the optimal cardiovascular parameters are used as the outlet conditions of each artificial blood vessel in the postoperative cardiovascular geometric model. The Navier-Stokes equation is used to solve the blood flow conditions of each artificial blood vessel to obtain the postoperative hemodynamic indicators.

[0035] In this embodiment, the optimal physiological parameters (optimal preoperative physiological parameters or optimal postoperative physiological parameters) measured at multiple time points within a cardiac cycle 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 the artificial blood vessel inlet boundary condition, and the outlet conditions of each branch blood vessel are the optimal cardiovascular parameters. The Navier-Stokes equation is used to solve the blood flow conditions in the patient's blood vessels during two cardiac cycles to obtain the velocity, pressure, wall shear force, oscillation shear index, particle residence time, vorticity and other hemodynamic parameters in the patient's cardiovascular system, as well as related hemodynamic parameters such as blood flow, pressure, flow velocity and other related hemodynamic parameters at the entrance and exit of each blood vessel.

[0036] S5: Compare the preoperative hemodynamic index with the postoperative hemodynamic index to determine the hemodynamic index after screening. Specifically, compare the preoperative hemodynamic index with the postoperative hemodynamic index, delete the postoperative hemodynamic index whose difference with the preoperative hemodynamic index is greater than the difference threshold, and obtain the hemodynamic index after screening.

[0037] S6: 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.

[0038] In this embodiment, the patient is followed up for 5 years, and the long-term impact of the implantation of an artificial heart on the patient's physical health is evaluated in combination with the patient's physical health status and changes in hemodynamic indicators. A COX regression data model is established based on the hemodynamic indicators screened in step S5 and the follow-up results (i.e., the patient's postoperative physical health status) to find out the indicators that have a significant impact on the patient's physical health status, which will be used as the key optimization target for future surgical implantation of artificial hearts in more patients.

[0039] S7: Determine an artificial heart performance optimization plan based on the key hemodynamic indicators.

[0040] Key hemodynamic indicators are identified through step S6 and quantitatively analyzed through statistical parameters such as risk ratio. This provides clinicians with a scientific and systematic tool for personalized treatment and optimized patient management. At the same time, the COX regression model also helps to compare between different patient groups and further optimize the long-term effects of artificial heart treatment.

[0041] This application can provide strong support for the long-term health management of patients based on the precise assessment of hemodynamic and physiological changes, thereby improving the quality of life of patients and prolonging their survival.

[0042] Based on the same inventive concept, the embodiment of the present application also provides a system for determining an artificial heart performance optimization solution based on hemodynamic indicators. The implementation solution for solving the problem provided by the system is similar to the implementation solution recorded in the above method, so the specific limitations in the embodiments of one or more artificial heart performance optimization solution determination systems based on hemodynamic indicators provided below can refer to the limitations of the artificial heart performance optimization solution determination method based on hemodynamic indicators above, and will not be repeated here.

[0043] In an exemplary embodiment, Figure 2 As shown, a system for determining an artificial heart performance optimization scheme based on hemodynamic indicators is provided, comprising the following modules.

[0044] The cardiovascular geometric model building module 101 is used to build a preoperative cardiovascular geometric model and a postoperative cardiovascular geometric model of the patient.

[0045] The physiological parameter acquisition module 102 is used to acquire multiple sets of preoperative physiological parameters and multiple sets of postoperative physiological parameters of the patient.

[0046] The optimal data determination module 103 is used to 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.

[0047] The hemodynamic index determination module 104 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.

[0048] The screened hemodynamic index determination module 105 is used to compare the preoperative hemodynamic index with the postoperative hemodynamic index to determine the screened hemodynamic index.

[0049] The key hemodynamic index determination module 106 is used to determine the key hemodynamic index by using the COX regression data model based on the screened hemodynamic index and the patient's postoperative physical health status.

[0050] The performance optimization scheme determination module 107 is used to determine the artificial heart performance optimization scheme based on the key hemodynamic indicators.

[0051] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program. The computer device may be a server or a terminal, and its internal structure diagram may be as shown in FIG. Figure 3 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. 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. 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 an external device. 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 indicators is implemented.

[0052] Those skilled in the art will understand that Figure 3The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0053] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0054] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0055] 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 used 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 must comply with relevant regulations.

[0056] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0057] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0058] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0059] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this 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; 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, preoperative cardiovascular geometric models and postoperative cardiovascular geometric models; cardiovascular parameters include resistance and capacitance; Based on the optimal preoperative physiological parameters, optimal postoperative physiological parameters and 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; Compare the preoperative hemodynamic indices with the postoperative hemodynamic indices to determine the hemodynamic indices 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: Based on multiple groups of preoperative physiological parameters, multiple groups of postoperative physiological parameters, preoperative cardiovascular geometric models and postoperative cardiovascular geometric models, optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters are determined, specifically including: 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; By comparing preoperative and postoperative cardiovascular parameters, the optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters were determined.

5. The method for determining an artificial heart performance optimization scheme based on hemodynamic indicators according to claim 4, characterized in that: By comparing preoperative and postoperative cardiovascular parameters, the optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters are determined, including: 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 and the postoperative cardiovascular parameter with the smallest difference was taken as the optimal cardiovascular parameter.

6. The method for determining an artificial heart performance optimization scheme based on hemodynamic indicators according to claim 1, characterized in that: Based on the optimal preoperative physiological parameters, optimal postoperative physiological parameters and optimal cardiovascular parameters, the preoperative cardiovascular geometric model and the postoperative cardiovascular geometric model are simulated and calculated to obtain the preoperative hemodynamic indicators and the postoperative hemodynamic indicators, including: The optimal preoperative physiological parameters were used as the boundary inlet conditions of each blood vessel in the preoperative cardiovascular geometric model, and the optimal cardiovascular parameters were used as the outlet conditions of each blood vessel in the preoperative cardiovascular geometric model. The blood flow of each blood vessel was solved by the Navier-Stokes equation to obtain the preoperative hemodynamic index. The optimal postoperative physiological parameters were used as the boundary inlet conditions of each artificial blood vessel in the postoperative cardiovascular geometric model, and the optimal cardiovascular parameters were used as the outlet conditions of each artificial blood vessel in the postoperative cardiovascular geometric model. The Navier-Stokes equation was used to solve the blood flow of each artificial blood vessel to obtain the postoperative hemodynamic indicators.

7. 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.

8. The method for determining an artificial heart performance optimization scheme based on hemodynamic indicators according to claim 1, characterized in that: Compare the preoperative hemodynamic indices with the postoperative hemodynamic indices to determine the hemodynamic indices after screening, including: The preoperative hemodynamic indices were compared with the postoperative hemodynamic indices, and the postoperative hemodynamic indices whose difference with the preoperative hemodynamic indices was greater than the difference threshold were deleted to obtain the screened hemodynamic indices.

9. A system for determining an artificial heart performance optimization scheme based on hemodynamic indicators, 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.

10. 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 8.

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