Regulation and control method and device of extracorporeal circulation system, computer equipment and storage medium

Abstract

The invention relates to a control method and device of an extracorporeal circulation system, computer equipment and a storage medium. The method comprises the steps that current perfusion parameters and target perfusion parameters are obtained, parameters of a state space model are updated according to the current perfusion parameters, the target perfusion parameters and the state space model, an updated state space model is obtained, and then the current perfusion parameters are adjusted according to the current perfusion parameters and the updated state space model; therefore, during regulation and control, the target perfusion parameter is considered, the state space model is updated according to the target perfusion parameter and the current perfusion parameter, then the current perfusion parameter is used as the initial value of the updated state space model, and the current perfusion parameter is regulated, so that automatic regulation is realized, the manual regulation time of an operator is shortened, and the manual regulation efficiency is improved. And the adjusting efficiency is improved. Meanwhile, the risk of postoperative organ injury of the patient is reduced and the recovery speed of the patient is accelerated through reasonable tissue perfusion, and the treatment overhead of the patient is reduced to a certain extent.

Description

TECHNICAL FIELD

[0001] The present application relates to the medical technical field, and in particular to a control method and device of an extracorporeal circulation system, a computer device, a storage medium and a computer program product. BACKGROUND

[0002] Extracorporeal circulation is a life support technology that uses a series of special artificial devices to drain the venous blood back to the body, exchange gas artificially, adjust the temperature and filter, and then pump it back to the arterial system of the body. It includes CPB (cardiopulmonary bypass) and ECMO (extracorporeal membrane oxygenation) and the like. In the extracorporeal membrane oxygenation (ECMO) and cardiopulmonary bypass and other extracorporeal circulation support systems of cardiac surgery, real-time monitoring of the blood oxygen saturation, body temperature and blood circuit pressure of the patient is crucial. In actual application, a doctor usually manually sets the expected reasonable range of each sensor monitoring value to achieve the target-oriented needs. With this method, the doctor needs to constantly manually adjust, which affects the adjustment efficiency.

[0003] It should be noted that the information disclosed in the background section of the present application is only intended to deepen the understanding of the general background of the present application, and should not be regarded as acknowledging or implying in any form that the information constitutes prior art known to those skilled in the art. SUMMARY

[0004] Therefore, it is necessary to provide a control method and device of an extracorporeal circulation system, a computer device, a computer readable storage medium and a computer program product capable of improving the adjustment efficiency in view of the above technical problems.

[0005] In a first aspect, the present application provides a control method of an extracorporeal circulation system. The method comprises: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of a state space model according to the current perfusion parameter, the target perfusion parameter and the state space model, to obtain an updated state space model; adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0006] In one embodiment, the step of obtaining the current perfusion parameter comprises: obtaining an initial static value of a current monitoring physiological parameter and a perfusion parameter; obtaining an adjustment value of the perfusion parameter according to a relationship table and the current monitoring physiological parameter; the relationship table is a relationship table of the perfusion parameter and the physiological parameter; obtaining the current perfusion parameter according to the initial static value of the perfusion parameter and the adjustment value.

[0007] In one of the embodiments, the step of obtaining the initial static value of the perfusion parameter comprises: obtaining the height and weight of the target object, and calculating the body surface area of the target object according to the height and weight; obtaining the initial static value of the perfusion parameter according to the body surface area and a lookup table; wherein the lookup table is a relationship table of body surface area and static value of the target perfusion parameter.

[0008] In one of the embodiments, the step of updating the parameters of the state space model comprises: obtaining the target perfusion parameter; and updating the parameters of the state space model by back-propagating the current perfusion parameter and the target perfusion parameter as input and expectation, respectively.

[0009] In one of the embodiments, the step of adjusting the current perfusion parameter comprises: calculating the latent variable by using the updated state space model to detect the state in time series according to the current perfusion parameter; and adjusting the current perfusion parameter based on the time series recursion of the latent variable.

[0010] In one of the embodiments, the perfusion parameter comprises perfusion blood flow.

[0011] In a second aspect, the present application further provides a regulating device of an extracorporeal circulation system. The device comprises: an obtaining module configured to obtain a current perfusion parameter and a target perfusion parameter; an updating module configured to update parameters of a state space model according to the current perfusion parameter, the target perfusion parameter, and the state space model, to obtain an updated state space model; an adjusting module configured to adjust the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0012] In a third aspect, the present application further provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of a state space model according to the current perfusion parameter, the target perfusion parameter, and the state space model, to obtain an updated state space model; adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0013] In a fourth aspect, the present application further provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program implements the following steps when executed by a processor: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of the state space model according to the current perfusion parameter, the target perfusion parameter and the state space model, to obtain an updated state space model; adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0014] In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the following steps: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of the state space model according to the current perfusion parameter, the target perfusion parameter and the state space model, to obtain an updated state space model; adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0015] The above-mentioned extracorporeal circulation system regulating method, device, computer equipment, storage medium and computer program product, the method comprises obtaining a current perfusion parameter and a target perfusion parameter, updating parameters of the state space model according to the current perfusion parameter, the target perfusion parameter and the state space model, to obtain an updated state space model, and adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model; so that when regulating, the target perfusion parameter is considered, and the state space model is updated according to the target perfusion parameter and the current perfusion parameter, and then the current perfusion parameter is taken as the initial value of the updated state space model to adjust the current perfusion parameter, so as to realize automatic adjustment, reduce the time of manual adjustment by the operator, and further improve the regulation efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is an application environment diagram of the extracorporeal circulation system regulating method in one embodiment; Figure 2 It is a flowchart of the extracorporeal circulation system regulating method in one embodiment; Figure 3 It is a relationship diagram of physiological parameters and key oxygen supply points in one embodiment; Figure 4 It is a structural block diagram of the extracorporeal circulation system regulating device in one embodiment; Figure 5 It is an internal structure diagram of the computer equipment in one embodiment. DETAILED DESCRIPTION

[0017] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not intended to limit the present application.

[0018] The method provided by the embodiments of the present application can be applied to an application environment as shown in Figure 1 The computer device 102 communicates with the extracorporeal circulation device 104 through wired or wireless communication. The data storage system can store data required to be processed by the computer device 102. The data storage system can be integrated on the computer device 102, or placed on a cloud or other network server. The computer device 102 can be a standalone terminal or server, or an extracorporeal circulation control machine matched with the extracorporeal circulation device 104. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The server can be implemented by a standalone server or a server cluster composed of multiple servers.

[0019] In one embodiment, as shown in Figure 2 , a method for regulating an extracorporeal circulation system is provided. The method is applied to the computer device 102 in Figure 1 , and includes the following steps: Step 202, obtaining a current perfusion parameter and a target perfusion parameter.

[0020] Specifically, the target perfusion parameter is an input perfusion parameter value, for example, a doctor adjusts a button on the extracorporeal circulation device, which is an input perfusion parameter value, and the target perfusion parameter can be obtained by collecting the doctor's adjustment action. In this embodiment, the perfusion parameter refers to the perfusion blood flow. In addition, the current perfusion parameter can be obtained by monitoring blood-related parameters in the extracorporeal circulation device, wherein the blood-related parameters can be hemoglobin value, oxygen concentration, etc.

[0021] Step 204, updating parameters of the state space model according to the current perfusion parameter, the target perfusion parameter and the state space model, to obtain an updated state space model.

[0022] Specifically, the current perfusion parameter and the target perfusion parameter obtained in step S202 are input into the state space model, and the parameters of the state space model are updated to obtain an updated state space model. The state space model is a Mamba model. In an embodiment, the step of updating the parameters of the state space model includes: obtaining the target perfusion parameter; and performing back propagation with the current perfusion parameter and the target perfusion parameter as input and expectation respectively, and updating the parameters of the state space model. The target perfusion parameter is used as a factor for updating the state space model, so that the adjustment of the perfusion parameter is more accurate.

[0023] In step 206, the current perfusion parameter is adjusted according to the current perfusion parameter and the updated state space model.

[0024] Specifically, the current perfusion parameter is input into the updated state space model to obtain an adjustment parameter, so as to realize the adjustment of the current perfusion parameter, and further achieve reasonable perfusion.

[0025] In the above extracorporeal circulation system regulation method, the current perfusion parameter and the target perfusion parameter are first obtained, the parameters of the state space model are updated according to the current perfusion parameter, the target perfusion parameter and the state space model to obtain an updated state space model, and then the current perfusion parameter is adjusted according to the current perfusion parameter and the updated state space model; so that when regulating, the target perfusion parameter is considered, and the state space model is updated according to the target perfusion parameter and the current perfusion parameter, and then the current perfusion parameter is used as the initial value of the updated state space model to adjust the current perfusion parameter, so as to realize automatic adjustment, reduce the time of manual adjustment by the operator, and further improve the adjustment efficiency. At the same time, reasonable perfusion reduces the risk of postoperative organ damage of the patient and speeds up the recovery of the patient, and to some extent, also reduces the treatment cost of the patient.

[0026] In an embodiment, the step of obtaining the current perfusion parameter includes: In step 302, an initial static value of a current monitoring physiological parameter and a perfusion parameter is obtained.

[0027] Specifically, the current monitoring physiological data includes blood oxygen saturation, which can be obtained by a sensor. The initial static value of the perfusion parameter is related to the target object, i.e. the patient, and can be obtained by a cold start strategy or manually input.

[0028] In an embodiment, the step of obtaining the initial static value of the perfusion parameter comprises: obtaining the height and weight of the target object, i.e., obtaining the height and weight of the patient; calculating the body surface area of the target object according to the height and weight; and obtaining the initial static value of the perfusion parameter according to the body surface area and a lookup table, wherein the lookup table is a table of the relationship between the body surface area and the static value of the target perfusion parameter. That is, the initial static value of the perfusion parameter, i.e., the initial perfusion blood flow, is obtained by looking up the table according to the body surface area of the patient. Further, in another embodiment, the height and weight of the target object, i.e., the height and weight of the patient, are obtained; the body surface area of the target object is calculated according to the height and weight; and the initial static value of the perfusion parameter is obtained according to the body surface area, the target hemoglobin value, and a lookup table, wherein the lookup table is a table of the relationship between the body surface area, the target hemoglobin value, and the static value of the target perfusion parameter.

[0029] In step 304, an adjustment value of the perfusion parameter is obtained according to the relationship table and the current monitored physiological parameter, wherein the relationship table is a table of the correlation between the perfusion parameter and the physiological parameter.

[0030] In the table, the physiological parameter includes oxygen consumption, carbon dioxide clearance, lactic acid, and venous oxygen saturation, and the relationship table is a table of the correlation between the perfusion parameter and the physiological parameter, i.e., a relationship diagram of the physiological parameter and the key oxygen supply point, as shown in the table. Specifically, the current detected physiological parameter sent by the collection sensor, i.e., the current oxygen consumption, the current carbon dioxide clearance, the current lactic acid, and the current venous oxygen saturation, is obtained to obtain the key oxygen supply point. If the key oxygen supply point is less than 600, such as 500, the adjustment value of the perfusion parameter is 100. Figure 3

[0031] In step 306, the current perfusion parameter is obtained according to the initial static value of the perfusion parameter and the adjustment value.

[0032] Specifically, the adjustment value obtained in step 304 is converted into a perfusion blood flow, and the perfusion blood flow is combined with the initial static value to obtain the current perfusion blood flow.

[0033] By taking the current monitored physiological parameter into account, the perfusion blood flow is more reasonable, further reducing the risk of postoperative organ damage in patients and accelerating the recovery speed of patients.

[0034] In an embodiment, the step of adjusting the current perfusion parameter comprises: calculating the hidden variable using the updated state space model to detect the state in time according to the current perfusion parameter; and adjusting the current perfusion parameter based on the hidden variable to implement the adjustment of the actual perfusion parameter and complete the target-oriented perfusion. ​

[0035] It should be understood that although the steps in the flowcharts involved in the embodiments described above are shown in sequence according to the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, the execution of the steps is not strictly limited in sequence, and the steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the embodiments described above can include multiple steps or multiple stages, which are not necessarily executed at the same time but can be executed at different times, and the execution order of the steps or stages is not necessarily sequential but can be alternately or alternately executed with at least part of other steps or steps or stages in other steps.

[0036] Based on the same inventive concept, the embodiments of the present application also provide a control device of an extracorporeal circulation system for implementing the extracorporeal circulation system control method described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more control device embodiments of the extracorporeal circulation system provided below can refer to the limitations of the extracorporeal circulation system control method described above, which will not be repeated here.

[0037] In one embodiment, as shown in Figure 4 A control device 400 of an extracorporeal circulation system is provided, comprising: an acquisition module 401, an update module 402, and an adjustment module 403, wherein: The acquisition module 401 is configured to acquire a current perfusion parameter and a target perfusion parameter.

[0038] The update module 402 is configured to update parameters of a state space model according to the current perfusion parameter, the target perfusion parameter, and the state space model, to obtain an updated state space model.

[0039] The adjustment module 403 is configured to adjust the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0040] In an embodiment, the acquisition module 401 is further configured to acquire an initial static value of the perfusion parameter and a current monitored physiological parameter; acquire an adjustment value of the perfusion parameter according to a relationship table and the current monitored physiological parameter; the relationship table is a relationship table of the perfusion parameter and the physiological parameter; and obtain the current perfusion parameter according to the initial static value of the perfusion parameter and the adjustment value.

[0041] Further, in an embodiment, the acquisition module 401 is further configured to acquire a height and a weight of a target object, and calculate a body surface area of the target object according to the height and the weight; obtain the initial static value of the perfusion parameter according to the body surface area and a lookup table; and the lookup table is a relationship table of the body surface area and a static value of the target perfusion parameter.

[0042] In an embodiment, the updating module 402 is further configured to obtain a target perfusion parameter; and perform back propagation with the current perfusion parameter and the target perfusion parameter as input and expectation respectively, to update parameters of the state space model.

[0043] In an embodiment, the adjusting module 403 is further configured to calculate the latent variable using the updated state space model based on the current perfusion parameter, and perform time series recursion based on the latent variable to adjust the current perfusion parameter.

[0044] The above-mentioned modules in the regulating device of the extracorporeal circulation system can be implemented by software, hardware, or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned modules.

[0045] In an embodiment, a computer device is provided, which can be a server, and an internal structure diagram thereof can be as shown in Figure 5 The computer device includes a processor, a memory, an input / output interface (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 configured 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 operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store perfusion parameters and a relationship table. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with terminals outside through a network connection. The computer program is executed by the processor to implement a regulating method of an extracorporeal circulation system.

[0046] Those skilled in the art can understand that Figure 5 The structure shown in the above-mentioned embodiments is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. Specifically, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0047] In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of a state space model according to the current perfusion parameter, the target perfusion parameter and the state space model to obtain an updated state space model; and adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0048] In one embodiment, the processor further implements the following steps when executing the computer program: obtaining an initial static value of the perfusion parameter and a current monitored physiological parameter; obtaining an adjustment value of the perfusion parameter according to a relationship table and the current monitored physiological parameter, the relationship table being a relationship table of the perfusion parameter and the physiological parameter; and obtaining the current perfusion parameter according to the initial static value of the perfusion parameter and the adjustment value.

[0049] In one embodiment, the processor further implements the following steps when executing the computer program: obtaining a height and a weight of a target object, and calculating a body surface area of the target object according to the height and the weight; obtaining the initial static value of the perfusion parameter according to the body surface area and a lookup table, the lookup table being a relationship table of the body surface area and a static value of the target perfusion parameter.

[0050] In one embodiment, the processor further implements the following steps when executing the computer program: performing back propagation with the current perfusion parameter as input and the target perfusion parameter as expectation to update the parameters of the state space model.

[0051] In one embodiment, the processor further implements the following steps when executing the computer program: calculating a latent variable using a time series detection state of the updated state space model according to the current perfusion parameter; and adjusting the current perfusion parameter based on a time series recursion of the latent variable.

[0052] In one embodiment, a computer readable storage medium is provided, storing a computer program, the computer program being executed by a processor to implement the following steps: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of a state space model according to the current perfusion parameter, the target perfusion parameter and the state space model to obtain an updated state space model; and adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0053] In one embodiment, the computer program is executed by the processor to further implement the following steps: obtaining an initial static value of the perfusion parameter and a current monitored physiological parameter; obtaining an adjustment value of the perfusion parameter according to a relationship table and the current monitored physiological parameter, the relationship table being a relationship table of the perfusion parameter and the physiological parameter; and obtaining the current perfusion parameter according to the initial static value of the perfusion parameter and the adjustment value.

[0054] In one embodiment, the computer program, when executed by the processor, further implements the following steps: obtaining the height and weight of the target object, and calculating the body surface area of the target object according to the height and weight; and obtaining the initial static value of the perfusion parameter according to the body surface area and a lookup table; wherein the lookup table is a relationship table of the body surface area and the static value of the target perfusion parameter.

[0055] In one embodiment, the computer program, when executed by the processor, further implements the following steps: performing back propagation with the current perfusion parameter as input and the target perfusion parameter as expectation, and updating the parameters of the state space model.

[0056] In one embodiment, the computer program, when executed by the processor, further implements the following steps: calculating the latent variable using the updated state space model according to the current perfusion parameter; and adjusting the current perfusion parameter based on the time series recursion of the latent variable.

[0057] In one embodiment, a computer program product is provided, comprising a computer program which, when executed by the processor, implements the following steps: obtaining the current perfusion parameter and the target perfusion parameter; updating the parameters of the state space model according to the current perfusion parameter, the target perfusion parameter, and the state space model, to obtain an updated state space model; and adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

[0058] In one embodiment, the computer program, when executed by the processor, further implements the following steps: obtaining the initial static value of the perfusion parameter and the current monitoring physiological parameter; obtaining the adjustment value of the perfusion parameter according to the relationship table and the current monitoring physiological parameter; the relationship table is a correlation table of the perfusion parameter and the physiological parameter; and obtaining the current perfusion parameter according to the initial static value of the perfusion parameter and the adjustment value.

[0059] In one embodiment, the computer program, when executed by the processor, further implements the following steps: obtaining the height and weight of the target object, and calculating the body surface area of the target object according to the height and weight; and obtaining the initial static value of the perfusion parameter according to the body surface area and a lookup table; wherein the lookup table is a relationship table of the body surface area and the static value of the target perfusion parameter.

[0060] In one embodiment, the computer program, when executed by the processor, further implements the following steps: performing back propagation with the current perfusion parameter as input and the target perfusion parameter as expectation, and updating the parameters of the state space model.

[0061] In one embodiment, the computer program, when executed by the processor, further implements the following steps: calculating the latent variable using the updated state space model according to the current perfusion parameter; and adjusting the current perfusion parameter based on the time series recursion of the latent variable.

[0062] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of the country and region.

[0063] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiments. Any reference to a memory, database or other medium used in the embodiments provided by the present application can include at least one of a non-volatile and volatile memory. The non-volatile memory can include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical storage, a high-density embedded non-volatile memory, a resistive memory (ReRAM), a magnetoresistive random access memory (MRAM), a ferroelectric memory (FRAM), a phase change memory (PCM), a graphene memory, etc. The volatile memory can include a random access memory (RAM) or an external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a blockchain, etc., but is not limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0064] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present disclosure.

[0065] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific manner, but should not be construed as limiting the scope of the patent of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method of regulating a system of extracorporeal circulation, characterized in that, The method comprises: obtaining a current perfusion parameter and a target perfusion parameter; updating parameters of a state space model according to the current perfusion parameter, the target perfusion parameter and the state space model to obtain an updated state space model; adjusting the current perfusion parameter according to the current perfusion parameter and the updated state space model.

2. The method of claim 1, wherein, The step of obtaining the current perfusion parameter comprises: obtaining a current monitoring physiological parameter and an initial static value of the perfusion parameter; obtaining an adjustment value of the perfusion parameter according to a relationship table and the current monitoring physiological parameter; the relationship table is a relationship table of the perfusion parameter and the physiological parameter; obtaining the current perfusion parameter according to the initial static value of the perfusion parameter and the adjustment value.

3. The method of claim 2, wherein, The step of obtaining the initial static value of the perfusion parameter comprises: obtaining a height and a weight of a target object, and calculating a body surface area of the target object according to the height and the weight; obtaining the initial static value of the perfusion parameter according to the body surface area and a lookup table; wherein the lookup table is a relationship table of the body surface area and a static value of the target perfusion parameter.

4. The method of claim 1, wherein, The step of updating the parameters of the state space model comprises: obtaining the target perfusion parameter; performing back propagation with the current perfusion parameter and the target perfusion parameter as input and expectation respectively to update the parameters of the state space model.

5. The method of claim 1, wherein, The step of adjusting the current perfusion parameter comprises: calculating a hidden variable using a time sequence detection state of the updated state space model according to the current perfusion parameter; and adjusting the current perfusion parameter based on the time sequence recursion of the hidden variable.

6. The method according to any one of claims 1-5, characterized in that, The perfusion parameter comprises a perfusion blood flow.

7. A control device of an extracorporeal circulation system, characterized by, The device comprises: an obtaining module configured to obtain a current perfusion parameter and a target perfusion parameter; an updating module configured to update parameters of a state space model according to the current perfusion parameter, the target perfusion parameter and the state space model to obtain an updated state space model; an adjusting module configured to adjust the current perfusion parameter according to the current perfusion parameter and the updated state space model.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to implement the steps of the method of any one of claims 1 to 6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

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