A blood flow monitoring system, method, medium, and apparatus for ECMO

Abstract

The application discloses a blood flow monitoring control system, method, medium and equipment for ECMO, and relates to the technical field of flow monitoring. The system comprises a data acquisition module configured to acquire blood pump rotating speed, pressure and flow data in an extracorporeal circulation loop; a model construction module configured to establish a blood flow dynamics mathematical model containing a loop, a centrifugal blood pump, a membrane lung and a patient, and draw a rotating speed, pressure difference and flow relationship graph according to the blood flow dynamics mathematical model; and an abnormality judgment module configured to compare the acquired blood pump rotating speed, pressure difference and flow data with the rotating speed, pressure difference and flow relationship graph, and judge whether the blood flow, pressure difference and flow relationship are abnormal. The application can simultaneously consider the influence of both pressure and rotating speed on blood flow, so that more accurate real-time monitoring of blood flow is realized.

Description

Technical Field

[0001] This invention relates to the field of blood flow monitoring and control technology, and in particular to a blood flow monitoring system, method, medium and device for ECMO. Background Technology

[0002] Extracorporeal membrane oxygenation (ECMO) works by drawing venous blood from the body to the outside, where it is oxygenated and carbon dioxide removed by a membrane oxygenator, and then pumped back into the body by a centrifugal blood pump to perform gas exchange and blood circulation.

[0003] Currently, existing ECMO products rely on doctors adjusting the centrifugal blood pump speed according to the patient's condition to achieve a suitable blood flow rate. In other words, the blood flow rate is controlled by adjusting the pump speed. To prevent unexpected situations during device operation from causing excessive or insufficient blood flow, ECMO products are equipped with extreme value alarms for exceeding the upper and lower limits of the flow rate. This range is typically very wide, and no alarm is triggered during flow rate adjustments within this range.

[0004] Furthermore, in flow mode, the pump speed changes with the flow rate. If the flow rate decreases due to factors such as tubing bends, the pump speed will increase, potentially exceeding the device's maximum speed while the required flow rate is not achieved. Patients undergoing ECMO treatment may require several days or even weeks, and their condition can change at any time. However, medical staff cannot monitor a patient continuously and must conduct periodic observations and checks. Existing blood flow monitoring systems can only determine the relationship between flow rate and pump speed. When conditions such as tubing bends, tubing damage, abnormal insertion, insufficient blood volume, or oxygenator thrombosis cause a decrease in flow rate but not exceeding the set lower limit, the control system will not issue a warning. In this situation, the pump speed remains unchanged, and the work generated by the pump leads to increased blood temperature and high shear stress. The blood stagnates and heats within the pump, significantly increasing the risk of thrombosis and hemolysis. If the pump speed increases, the output flow rate increases, but the flow rate does not exceed the set upper limit, the control system will also not issue a warning.

[0005] Blood flow cannot be adjusted in real time according to the patient's condition. If it remains below the set optimal value for an extended period, it will reduce oxygen supply and affect the patient's treatment outcome. Conversely, if it remains above the set optimal value for an extended period, it will increase blood degradation and other consequences. If nursing staff do not detect this in time, it may lead to a deterioration of the patient's condition and even endanger their life. Therefore, how to achieve real-time and accurate monitoring and control of blood flow while considering multiple factors has become a pressing problem that current technology needs to solve. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to provide a blood flow monitoring system, method, medium, and device for ECMO that can simultaneously consider the influence of both pressure and rotation speed on blood flow, thereby achieving more accurate real-time blood flow monitoring.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0008] The first aspect of this invention provides a blood flow monitoring system for ECMO, comprising:

[0009] The data acquisition module is configured to acquire data on blood pump speed, pressure difference, and flow rate in the extracorporeal circulation loop;

[0010] The model building module is configured to establish a hemodynamic mathematical model including the circuit, centrifugal blood pump, membrane lung, and patient, and to plot the relationship between rotational speed, pressure difference, and flow rate based on the hemodynamic mathematical model;

[0011] The anomaly detection module is configured to use the relationship diagram obtained from the blood pump speed, pressure difference and flow rate data and the hemodynamic mathematical model to determine whether there is an anomaly in the circulatory system.

[0012] Furthermore, the extracorporeal circulation loop is formed by sequentially connecting the membrane lung, centrifugal blood pump, and patient through tubing.

[0013] Furthermore, flow rate is measured in the tubing between the membrane lung and the centrifugal blood pump to obtain flow rate data in the extracorporeal circulation loop; the centrifugal blood pump is driven by a pump drive device, and the pump speed is measured to obtain the pump speed data in the extracorporeal circulation loop; the pressure before and after the centrifugal blood pump is measured in the tubing before and after the pump to obtain pressure and pressure difference data in the extracorporeal circulation loop.

[0014] Furthermore, the model building module, after being configured to build a hemodynamic mathematical model, selects appropriate model parameters, uses the hemodynamic mathematical model to simulate different situations, obtains the intrinsic variation law between ECMO blood flow, pressure and pressure difference, and blood pump speed, and combines experimental data to draw a graph of the relationship between speed, pressure difference and flow.

[0015] Furthermore, the anomaly detection module includes a display screen and a processor. The processor is used to monitor and process the acquired blood pump speed, pressure, pressure difference, and flow data, while the display screen is used to display the acquired data and the results of the processor's analysis and processing.

[0016] Furthermore, the anomaly detection module includes a logic detection module used to determine the relationship between blood flow, pressure difference, and flow rate, specifically:

[0017] Based on the relationship diagram of speed, pressure difference and flow rate, determine whether the flow rate and pressure difference are within the mapping range. If so, further determine the mapping relationship between flow rate, pressure difference and speed. If not, determine that there is an abnormality in the circulation system.

[0018] Determine the mapping relationship between flow rate, pressure difference, and speed. If it matches the relationship diagram of speed, pressure difference, and flow rate, then the flow rate, pressure difference, and speed are all normal. If not, then the circulation system is considered to have an abnormality.

[0019] Furthermore, it also includes an alarm module. If an abnormality is detected between the flow rate, pressure difference, and rotation speed, the alarm module will issue an alarm.

[0020] A second aspect of the present invention provides a method for monitoring blood flow in ECMO, comprising the following steps:

[0021] Acquire data on blood pump speed, pressure difference, and flow rate in the extracorporeal circulation loop;

[0022] Establish a hemodynamic mathematical model that includes the circuit, centrifugal blood pump, membrane lung, and patient, and plot the relationship between rotational speed, pressure difference, and flow rate based on the hemodynamic mathematical model;

[0023] The relationship between the acquired blood pump speed, pressure difference, and flow rate data and the hemodynamic mathematical model is used to determine whether there are any abnormalities in the circulatory system.

[0024] A third aspect of the present invention provides a medium having a program stored thereon, which, when executed by a processor, implements the steps in the blood flow monitoring method for ECMO as described in the first aspect of the present invention.

[0025] A fourth aspect of the present invention provides an apparatus including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the blood flow monitoring method for ECMO as described in the first aspect of the present invention.

[0026] The above one or more technical solutions have the following beneficial effects:

[0027] This invention discloses a blood flow monitoring system, method, medium, and device for ECMO. Existing ECMO products only provide extreme value alarms for flow exceeding the upper and lower limits. However, when situations such as circulation tubing bends, tubing damage, abnormal cannulation, insufficient blood volume, or oxygenator thrombosis occur, the device does not alarm if the flow change does not exceed the upper or lower limits. If nursing staff do not detect these issues in time, it may endanger the patient's life. Furthermore, if the flow deviates from the set appropriate value for an extended period, it can affect the safety and effectiveness of treatment. This application can continuously monitor the blood pump speed, pressure difference, and blood flow, and input the measured speed, flow, and pressure difference into a multi-target anomaly judgment module to determine whether the flow is within the model mapping area derived from hemodynamics, thereby achieving more accurate real-time blood flow monitoring.

[0028] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0029] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0030] Figure 1 This is a schematic diagram of the blood flow monitoring system for ECMO in Embodiment 1 of the present invention;

[0031] Figure 2 This is a graph showing the relationship between rotational speed, pressure difference, and flow rate in Embodiment 1 of the present invention;

[0032] Figure 3 This is a structural diagram of the hemodynamic model in Embodiment 1 of the present invention;

[0033] Figure 4 This is a flowchart of the blood flow monitoring method for ECMO in Embodiment 2 of the present invention;

[0034] Figure 5 This is a structural diagram of the blood flow monitoring device used for ECMO in Embodiment 4 of the present invention. Detailed Implementation

[0035] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0036] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0037] Example 1:

[0038] During blood circulation, because the tubing is a closed system and all tubing is of the same specification with little temperature difference, the volume of blood in the circulation tubing remains relatively constant.

[0039] Because centrifugal blood pumps are non-blocking, a "backflow" phenomenon occurs, where the flow direction is opposite to that within the pump. Therefore, the output blood flow rate depends not only on the pump's rotational speed but also on the pressure difference between the pump's input and output. Under constant rotational speed and low-pressure perfusion conditions, any increase in the pump afterload will lead to a decrease in the pump's flow rate output; similarly, any decrease in the pump afterload will lead to an increase in the pump's flow rate output.

[0040] According to fluid dynamics, in the pipeline:

[0041] Q = υA - Δq = nv - Δq (1),

[0042]

[0043] Where Q is the blood flow rate in the pipe, A is the cross-sectional area of ​​the pipe, υ is the average blood velocity in the pipe, Δq is the centrifugal pump leakage, n is the centrifugal pump speed, v is the centrifugal pump displacement, p is the blood pressure in the pipe, ρ is the blood density, g is the gravitational acceleration, and z is the cross-sectional height.

[0044] As can be seen from formulas (1) and (2), the flow rate, pressure, and centrifugal pump speed in the pipeline are interdependent. Studying the relationship between speed and flow rate while considering pressure can improve equipment safety. Therefore, based on the relationship between flow rate, pressure, and centrifugal pump speed in the pipeline, Embodiment 1 of this invention provides a blood flow monitoring system for ECMO, comprising:

[0045] The data acquisition module is configured to acquire data on blood pump speed, pressure difference, and flow rate in the extracorporeal circulation loop;

[0046] The model building module is configured to establish a hemodynamic mathematical model including the circuit, centrifugal blood pump, membrane lung, and patient, and to plot the relationship between rotational speed, pressure difference, and flow rate based on the hemodynamic mathematical model;

[0047] The anomaly detection module is configured to use the relationship diagram obtained from the blood pump speed, pressure difference and flow rate data and the hemodynamic mathematical model to determine whether there is an anomaly in the circulatory system.

[0048] If the alarm module detects an abnormality in the flow rate, pressure difference, and rotational speed, it will issue an alarm.

[0049] In the data acquisition module, such as Figure 1 As shown, the extracorporeal circulation loop is formed by connecting the membrane lung, centrifugal blood pump, and patient sequentially through tubing. Currently, existing ECMO products rely on doctors adjusting the pump speed to adapt the pump's output flow rate to the patient's condition. However, blood flow rate is not only related to the pump's speed but also to the pressure difference between the pump's input and output. The centrifugal blood pump's output flow rate is highly sensitive to changes in blood pressure; under constant speed and low-pressure perfusion conditions, any change in the load before or after the pump will lead to a change in the pump's output flow rate.

[0050] Based on this, this embodiment performs flow detection on the pipeline between the membrane lung and the centrifugal blood pump to obtain flow data in the extracorporeal circulation loop; uses a pump drive device to drive the centrifugal blood pump, and obtains the blood pump speed data in the extracorporeal circulation loop by detecting the speed of the pump drive device; and performs pressure detection before and after the centrifugal blood pump on the pipelines before and after the pump to obtain pressure and pressure difference data in the extracorporeal circulation loop.

[0051] Wherein, the pressure difference H = downstream pressure - upstream pressure.

[0052] In this embodiment, flow rate detection, rotation speed detection, and pressure detection all use corresponding sensors for data acquisition.

[0053] The model building module, after being configured to build a hemodynamic mathematical model, selects appropriate model parameters and uses the hemodynamic mathematical model to simulate different situations, obtains the intrinsic variation law between ECMO blood flow, pressure and pressure difference, and blood pump speed, and plots the relationship between speed, pressure difference and flow rate in combination with experimental data.

[0054] Blood flow is the most critical indicator in extracorporeal circulation. Therefore, it is necessary to establish a hemodynamic mathematical model encompassing tubing, centrifugal blood pumps, membrane oxygenator (MOO), and the patient. Appropriate model parameters should be selected, and the model should be used to simulate different scenarios to identify the intrinsic relationship between ECMO flow rate changes and pressure differential and pump speed. Combined with experimental data, a graph showing the relationship between different speeds, flow rates, and pressure differentials related to flow rate changes can be obtained in advance, such as... Figure 2As shown, the model data is input into the anomaly detection module. Based on the preset model, the module first determines whether the flow rate and pressure difference are within the mapping range. If the mapping relationship is not valid, it directly determines that there is an anomaly in the circulation loop and issues an alarm. If the flow rate and pressure difference are within the mapping range, it continues to determine whether the mapping relationship between the flow rate, pressure difference, and rotational speed is within the mapping range.

[0055] In this embodiment, the centrifugal blood pump model, the membrane lung model, and the patient's cardiovascular lumped parameter model are coupled together. Using an equivalent circuit, a hemodynamic model including the tubing, centrifugal blood pump, membrane lung, and patient is obtained, such as... Figure 3 As shown. The hemodynamic characteristics of the blood pump, membrane lung inflow tubing, and outflow tubing are considered separately. The inflow and outflow tubing are modeled as elastic cavities with blood flow resistance and inertia. Since the cannula is not elastic, its compliance is not considered. R i and L i The blood flow resistance and inertia of the blood pump entering the tubing; R o and L o The blood flow resistance and inertia of the blood pump exiting the cannula; H is the blood pump pressure difference; Q rp This is the flow rate through the blood pump. A nonlinear time-varying resistor R is inserted between the inflow tubing and the left ventricle. k This simulates a ventricular aspiration event caused by excessive blood pumping due to excessive pumping speed. m and L m For the blood flow resistance and blood flow inertia of the membrane lung inflow tubing; R n and L n For the blood flow resistance and blood flow inertia of the membrane lung outflow cannula; H m P represents the membrane lung pressure gradient; lv (t) represents the pressure at the cannula exit position; P m (t) represents the membrane lung input pressure. Various lumped parameter models for the patient's cardiovascular system already exist, and will not be described in detail here.

[0056] The centrifugal blood pump is connected in parallel with the patient's blood vessels, according to... Figure 3 The hemodynamic mathematical model yields the following formulas relating the changes in centrifugal blood pump speed, flow rate, and pressure difference under different speeds, flow rates, and pressure differences:

[0057]

[0058] Based on the hydraulic characteristics of the blood pump, the pressure difference between the pump outlet and inlet has the following functional relationship with the pump flow rate and pump speed:

[0059]

[0060] In the formula, H is the pump pressure difference; Q rp ω is the flow rate through the blood pump; β is the pump speed; a ,βb ,β c ,β d These are the dynamic coefficients associated with the pump.

[0061] The anomaly detection module includes a display screen and a processor. The processor is used to monitor and process the acquired blood pump speed, pressure, pressure difference, and flow data, while the display screen is used to show the acquired data and the results of the processor's analysis and processing.

[0062] The anomaly detection module includes a logic detection module used to determine the relationship between blood flow, pressure difference, and flow rate, specifically:

[0063] Based on the relationship diagram of speed, pressure difference and flow rate, determine whether the flow rate and pressure difference are within the mapping range. If so, further determine the mapping relationship between flow rate, pressure difference and speed. If not, determine that there is an abnormality in the circulation loop.

[0064] Determine the mapping relationship between flow rate, pressure difference, and rotational speed. If it matches the relationship diagram of rotational speed, pressure difference, and flow rate, then the flow rate, pressure difference, and rotational speed are all normal. If not, then there is an abnormality in the circulation loop.

[0065] In this embodiment, the anomaly detection module generates virtual equidistant curves on both sides of the flow rate and pressure difference characteristic curves at any given speed for judgment. When the device is running, the system controls the blood pump speed, and the blood pump output flow rate and pressure difference change accordingly. The sensors on the device constantly monitor the blood pump speed, the input pressure before the pump, the output pressure after the pump, and the blood flow rate. When the measured data falls between the two equidistant curves, i.e., within the mapping area and conforms to the corresponding mapping relationship, the system operates normally and does not alarm. When the measured data falls outside the two equidistant curves, i.e., exceeds the set mapping area, the system issues an audible and visual alarm after calculation, awaiting medical intervention.

[0066] For example, at a certain speed, the blood pump operates according to the relationship curve of pressure difference and flow rate. If there are situations such as bends in the circulation tubing, tubing damage, abnormal insertion, insufficient blood volume, or thrombus blockage of the oxygenator, the blood pump speed remains unchanged, but the flow rate and pressure difference change. The control system makes a judgment according to the above steps. If the flow rate and pressure difference are outside the preset mapping area, the system will sound an audible alarm and a visual alarm, and wait for the doctor to handle the situation.

[0067] This invention solves the problem of existing ECMO products only triggering alarms when the flow rate exceeds the upper and lower limits. However, when conditions such as tubing bends, tubing damage, abnormal insertion, insufficient blood volume, or oxygenator thrombosis cause flow rate changes within the upper and lower limits, the device fails to alarm. In flow mode, the blood pump speed changes with the flow rate. If the flow rate decreases due to tubing bends or other reasons, the blood pump speed will increase, potentially exceeding the device's maximum speed while the required flow rate is not achieved. In either of these situations, if nursing staff do not detect it promptly, it could endanger the patient's life. Furthermore, if the flow rate deviates from the set appropriate value for an extended period, it will also affect the effectiveness of treatment. This invention considers the influence of both pressure and speed on blood flow, thereby achieving more accurate real-time blood flow monitoring.

[0068] Example 2:

[0069] Embodiment 2 of the present invention provides a method for monitoring blood flow in ECMO, such as... Figure 4 As shown, it includes the following steps:

[0070] Acquire data on blood pump speed, pressure difference, and flow rate in the extracorporeal circulation loop;

[0071] Establish a hemodynamic mathematical model that includes the circuit, centrifugal blood pump, membrane lung, and patient, and plot the relationship between rotational speed, pressure difference, and flow rate based on the hemodynamic mathematical model;

[0072] The relationship between the acquired blood pump speed, pressure difference, and flow rate data and the hemodynamic mathematical model is used to determine whether there are any abnormalities in the circulatory system. Specifically: based on the relationship diagram of speed, pressure difference, and flow rate, it is determined whether the flow rate and pressure difference are within the mapping region. If so, the mapping relationship between flow rate, pressure difference, and speed is further determined. If not, it is determined that the flow rate and pressure difference are mismatched, indicating an abnormality.

[0073] Determine the mapping relationship between flow rate, pressure difference, and rotational speed. If it matches the relationship diagram of rotational speed, pressure difference, and flow rate, then the flow rate, pressure difference, and rotational speed are all normal. If not, then the flow rate, pressure difference, and rotational speed are mismatched and there is an abnormality.

[0074] Example 3:

[0075] Embodiment 3 of the present invention provides a medium on which a program is stored, which, when executed by a processor, implements the steps in the blood flow monitoring method for ECMO as described in Embodiment 1 of the present invention.

[0076] Example 4:

[0077] Embodiment 4 of the present invention provides a device including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the blood flow monitoring method for ECMO as described in Embodiment 1 of the present invention.

[0078] In this embodiment, as Figure 5 As shown, the host device 100 includes a processor 102, a memory, a network interface 105, and a monitoring interface 106, which are connected via a system bus 101. The memory is divided into a non-volatile storage module 103 and internal memory 104. The non-volatile storage module 103 stores the operating system 1031 and the device program 1032. When the device program 1032 is executed, the processor 102 can monitor the extracorporeal blood circulation tubing, including pressure, flow rate, and rotational speed.

[0079] Processor 102 provides computation and control, supporting the operation of host device 100. Internal memory 104 provides an environment for the execution of device program 1032 on non-volatile memory module 103.

[0080] Network interface 105 is used for network communication with other devices. It should be noted that the structure described above represents only the part relevant to the solution in this application and does not specifically limit all components applied to the host device 100. The actual host device 100 may include more or fewer components, or combine certain components together, and may also have different component layouts.

[0081] The choice of processor 102 is quite flexible for various embodiments of the present invention. Processor 102 can be used as a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors may include microprocessors or other common processor types.

[0082] It is worth noting that the methods and processes of these implementations are understandable to a person skilled in the art and can be executed by device programs to guide the relevant hardware. These device programs can be stored in computer-readable storage media. These storage media can include, but are not limited to, various physical storage media capable of storing program code, such as USB flash drives, external hard drives, read-only memory (ROM), magnetic disks, or optical disks. Furthermore, these device programs can be executed on at least one processor in the device system to implement the process steps of the described methods.

[0083] The steps involved in Examples 2, 3 and 4 above correspond to those in Example 1. For specific implementation details, please refer to the relevant description section of Example 1.

[0084] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0085] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A blood flow monitoring system for ECMO, characterized in that, include: The data acquisition module is configured to acquire data on blood pump speed, pressure difference, and flow rate in the extracorporeal circulation loop; The model building module is configured to establish a hemodynamic mathematical model including the circuit, centrifugal blood pump, membrane lung, and patient, and to plot the relationship between rotational speed, pressure difference, and flow rate based on the hemodynamic mathematical model; The anomaly detection module is configured to use the acquired blood pump speed, pressure difference, and flow rate data, along with a graph derived from a hemodynamic mathematical model, to determine whether there are any anomalies in the circulatory system. This module includes a logic detection module to determine the relationship between blood flow rate, pressure difference, and flow rate. Specifically: based on the speed, pressure difference, and flow rate graph, it determines whether the flow rate and pressure difference are within the mapping region. If so, it further determines the mapping relationship between flow rate, pressure difference, and speed; otherwise, it determines that there is an anomaly in the circulatory system. It also determines the mapping relationship between flow rate, pressure difference, and speed. If it matches the graph, then flow rate, pressure difference, and speed are all normal; otherwise, it determines that there is an anomaly in the circulatory system. If an anomaly is detected between flow rate, pressure difference, and speed, the alarm module issues an alarm.

2. The blood flow monitoring system for ECMO as described in claim 1, characterized in that, The extracorporeal circulation loop is formed by connecting the membrane lung, centrifugal blood pump and patient in sequence through tubing.

3. The blood flow monitoring system for ECMO as described in claim 2, characterized in that, Flow rate was measured in the tubing between the membrane lung and the centrifugal blood pump to obtain flow rate data in the extracorporeal circulation loop; the centrifugal blood pump was driven by a pump drive device, and the pump speed was measured to obtain pump speed data in the extracorporeal circulation loop; the pressure before and after the centrifugal blood pump was measured in the tubing before and after the pump to obtain pressure and pressure difference data in the extracorporeal circulation loop.

4. The blood flow monitoring system for ECMO as described in claim 1, characterized in that, The model building module, after being configured to build a hemodynamic mathematical model, selects appropriate model parameters and uses the hemodynamic mathematical model to simulate different situations, obtains the intrinsic variation law between ECMO blood flow, pressure and pressure difference, and blood pump speed, and plots the relationship between speed, pressure difference and flow rate in combination with experimental data.

5. The blood flow monitoring system for ECMO as described in claim 1, characterized in that, The anomaly detection module includes a display screen and a processor. The processor is used to monitor and process the acquired blood pump speed, pressure, pressure difference, and flow data, while the display screen is used to show the acquired data and the results of the processor's analysis and processing.

6. The blood flow monitoring system for ECMO as described in claim 1, characterized in that, It also includes an alarm module, which will issue an alarm if it detects an abnormality in flow rate, pressure difference, and rotation speed.

7. A method for monitoring blood flow in ECMO, characterized in that, Includes the following steps: Acquire data on blood pump speed, pressure difference, and flow rate in the extracorporeal circulation loop; Establish a hemodynamic mathematical model that includes the circuit, centrifugal blood pump, membrane lung, and patient, and plot the relationship between rotational speed, pressure difference, and flow rate based on the hemodynamic mathematical model; The system uses the acquired blood pump speed, pressure difference, and flow rate data, along with a graph derived from a hemodynamic mathematical model, to determine if there are any abnormalities in the circulatory system. The abnormality detection module includes a logic detection module to assess the relationship between blood flow rate, pressure difference, and flow rate. Specifically: based on the graph, it determines whether the flow rate and pressure difference are within the mapping region. If so, it further determines the mapping relationship between flow rate, pressure difference, and speed; otherwise, it determines that there is an abnormality in the circulatory system. It also checks the mapping relationship between flow rate, pressure difference, and speed. If it matches the graph, then all three parameters are normal; otherwise, it determines that there is an abnormality in the circulatory system. If an abnormality is detected between flow rate, pressure difference, and speed, the alarm module issues an alert.

8. A computer-readable storage medium, characterized in that, It stores multiple instructions, which are adapted to be loaded by the processor of the terminal device and executed by the blood flow monitoring method for ECMO as described in claim 7.

9. A terminal device, characterized in that, It includes a processor and a computer-readable storage medium, the processor being used to implement various instructions; the computer-readable storage medium being used to store multiple instructions adapted to be loaded by the processor and executed as described in claim 7 for blood flow monitoring in ECMO.

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