Simulated lung parameter adjusting method, device and equipment based on breathing machine and storage medium

Abstract

The invention relates to the technical field of simulated lung adjustment, and discloses a simulated lung parameter adjustment method, device and equipment based on a respirator and a storage medium, and the method comprises the following steps: obtaining an initial compliance parameter and an initial resistance parameter of a simulated lung; the compliance of the simulated lung is adjusted according to the initial compliance parameter through a breathing machine, a target compliance parameter is obtained, and the breathing machine is connected with the simulated lung through a connecting pipeline; resistance compensation value fitting is conducted on the breathing machine, and a fitting coefficient is obtained; performing resistance adjustment on the simulated lung through a breathing machine based on the fitting coefficient, the target compliance parameter and the initial resistance parameter to obtain a target resistance parameter; and testing the performance of the breathing machine according to the target compliance parameter and the target resistance parameter. According to the invention, the compliance of the simulated lung and the active adjustment of the resistance parameters can be realized, the adjustment efficiency and accuracy are effectively improved, and meanwhile, the method can adapt to different breathing machine test scenes.

Description

Technical Field

[0001] The present application relates to the technical field of simulated lung adjustment, and in particular to a simulated lung parameter adjustment method, device, equipment and storage medium based on a ventilator. Background Art

[0002] In the actual testing and application process of the ventilator, it is necessary to continuously adjust the compliance and resistance parameters of the iron lung to test the ventilator equipment. In the traditional adjustment method, direct manual adjustment is required. When adjusting the compliance, the knob of the simulated iron lung is adjusted to the specified compliance position. When adjusting the resistance of the lung, different air resistances are replaced. The air resistance and the simulated lung are two independent devices. It is cumbersome and troublesome for the testers to operate. For the testing of the ventilator equipment, the compliance and resistance of the simulated iron lung need to be continuously adjusted to meet the test requirements, resulting in poor adjustment efficiency and accuracy, and it cannot take into account different test environments (such as high and low temperatures, electromagnetic, etc.), which is prone to safety hazards.

[0003] Therefore, how to achieve active adjustment of the compliance and resistance parameters of the simulated lung, improve the adjustment efficiency and accuracy, and adapt to different ventilator testing scenarios is a problem that needs to be solved urgently.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, equipment and storage medium for adjusting simulated lung parameters based on a ventilator, aiming to solve the technical problems that manual adjustment of the compliance and resistance parameters of the simulated lung is inefficient and inaccurate, and cannot take into account different test environments.

[0006] To achieve the above objectives, the present application proposes a method for adjusting simulated lung parameters based on a ventilator, the method comprising:

[0007] Obtaining initial compliance parameters and initial resistance parameters of the simulated lung;

[0008] Adjusting the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung via a connecting pipeline;

[0009] Fitting the resistance compensation value of the ventilator to obtain a fitting coefficient;

[0010] Using a ventilator, adjusting the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter to obtain a target resistance parameter;

[0011] A ventilator performance test is performed according to the target compliance parameter and the target resistance parameter.

[0012] In one embodiment, the step of adjusting the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter comprises:

[0013] Obtain the initial pressure of the simulated lung;

[0014] Controlling the flow output device of the ventilator to generate a constant flow of air and collecting the tidal volume of the flow sensor and the current pressure of the simulated lung after the air flow output is completed;

[0015] determining a pressure difference of a simulated lung according to the initial pressure and the current pressure;

[0016] Calculating according to the tidal volume and the pressure difference to obtain a reference compliance parameter;

[0017] The simulated lung is subjected to compliance adjustment according to the initial compliance parameter and the reference compliance parameter to obtain a target compliance parameter.

[0018] The calculation formula of the reference compliance parameter is:

[0019] C_reback=Vt / Delta_p

[0020] Among them, C_reback is the reference compliance parameter, Vt is the tidal volume, and Delta_p is the pressure difference of the simulated lung.

[0021] In one embodiment, the step of adjusting the compliance of the simulated lung according to the initial compliance parameter and the reference compliance parameter to obtain a target compliance parameter comprises:

[0022] Comparing the initial compliance parameter with the reference compliance parameter to obtain a first comparison result;

[0023] When the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter does not reach a preset compliance error threshold, controlling the compliance adjustment knob of the simulated lung to perform feedback adjustment and re-performing the step of obtaining the initial pressure of the simulated lung;

[0024] When the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter reaches a preset compliance error threshold, the reference compliance parameter is used as a target compliance parameter.

[0025] In one embodiment, the step of fitting the resistance compensation value of the ventilator to obtain a fitting coefficient includes:

[0026] Control the ventilator to output gas of different flow rates and discharge the gas to the air through the gas outlet of the pipeline, and obtain a first pressure value of the first pressure sensor and a second pressure value of the second pressure sensor;

[0027] The resistance compensation value of the ventilator is fitted according to the different flow rates, the first pressure value and the second pressure value to obtain a fitting coefficient.

[0028] In one embodiment, performing resistance compensation value fitting on the ventilator according to the different flow rates, the first pressure value, and the second pressure value to obtain a fitting coefficient includes:

[0029] Determining resistance compensation values ​​at different flow rates according to the different flow rates, the first pressure value, and the second pressure value;

[0030] Data fitting is performed according to the resistance compensation values ​​under the different flow rates and the corresponding flow rates to obtain a fitting coefficient.

[0031] In one embodiment, the step of adjusting the resistance of the simulated lung by a ventilator based on the fitting coefficient, the target compliance parameter and the initial resistance parameter to obtain the target resistance parameter comprises:

[0032] When the ventilator is at a target compliance parameter, controlling the flow output device of the ventilator to generate a constant flow of air and collecting the flow of the flow sensor and the peak pressure and platform pressure of the pressure sensor after the airflow output is completed;

[0033] Calculating based on the flow rate, the peak pressure and the plateau pressure to obtain a reference resistance parameter;

[0034] determining a target resistance compensation value according to the fitting coefficient and the flow rate;

[0035] Determining a compensated resistance parameter according to the initial resistance parameter and the target resistance compensation value;

[0036] Adjusting the resistance of the simulated lung according to the reference resistance parameter and the compensated resistance parameter to obtain a target resistance parameter;

[0037] The calculation formula of the reference resistance parameter is:

[0038] R_reback=(Ppeak-Pplat) / Flow

[0039] Among them, R_reback is the reference resistance parameter, Vt is Ppeak is the peak pressure, Pplat is the platform pressure, and Flow is the flow rate.

[0040] In one embodiment, the step of adjusting the resistance of the simulated lung according to the reference resistance parameter and the compensated resistance parameter to obtain a target resistance parameter includes:

[0041] Comparing the reference resistance parameter with the compensated resistance parameter to obtain a second comparison result;

[0042] When the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter does not reach the preset resistance error threshold, adjusting the opening and closing degree of the electronic resistance regulating valve of the ventilator, and re-performing the steps of controlling the flow output device of the ventilator to generate a constant flow of airflow when the ventilator is at the target compliance parameter and collecting the flow of the flow sensor after the airflow output is completed, as well as the peak pressure and platform pressure of the pressure sensor;

[0043] When the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter reaches a preset resistance error threshold, the reference resistance parameter is used as the target resistance parameter.

[0044] In addition, to achieve the above-mentioned purpose, the present application also proposes a simulated lung parameter adjustment device based on a ventilator, and the simulated lung parameter adjustment device based on a ventilator comprises:

[0045] An acquisition module, used for acquiring initial compliance parameters and initial resistance parameters of the simulated lung;

[0046] an adjustment module, configured to adjust the compliance of the simulated lung according to the initial compliance parameter through a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline;

[0047] A fitting module, used for fitting the resistance compensation value of the ventilator to obtain a fitting coefficient;

[0048] The adjustment module is further used to adjust the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter through a ventilator to obtain a target resistance parameter;

[0049] A testing module is used to perform a ventilator performance test based on the target compliance parameter and the target resistance parameter.

[0050] In addition, to achieve the above-mentioned purpose, the present application also proposes a ventilator-based simulated lung parameter adjustment device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the ventilator-based simulated lung parameter adjustment method as described above.

[0051] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the ventilator-based simulated lung parameter adjustment method as described above are implemented.

[0052] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the ventilator-based simulated lung parameter adjustment method as described above.

[0053] One or more technical solutions proposed in the present application obtain the initial compliance parameter and the initial resistance parameter of the simulated lung; adjust the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline; fit the resistance compensation value of the ventilator to obtain a fitting coefficient; adjust the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter by the ventilator to obtain a target resistance parameter; and test the ventilator performance according to the target compliance parameter and the target resistance parameter, thereby realizing active adjustment of the compliance and resistance parameters of the simulated lung, effectively improving the adjustment efficiency and accuracy, and adapting to different ventilator testing scenarios.

[0054] In summary, the present application adjusts the compliance of the simulated lung according to the initial compliance parameters through the ventilator, so as to achieve accurate and efficient active adjustment of the compliance of the simulated lung, and fits the resistance compensation value of the ventilator, which effectively improves the adjustment accuracy of the resistance parameters. Therefore, the ventilator adjusts the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter, so as to achieve accurate and efficient active adjustment of the resistance parameters of the simulated lung, and then performs ventilator performance testing according to the target compliance parameter and the target resistance parameter, which can adapt to different ventilator testing scenarios, overcomes the technical defects of manual adjustment of the compliance and resistance parameters of the simulated lung, which are poor in efficiency and accuracy, and cannot take into account different testing environments, and can achieve active adjustment of the compliance and resistance parameters of the simulated lung, effectively improves the adjustment efficiency and accuracy, and can adapt to different ventilator testing scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0056] 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 or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0057] Figure 1 A flow chart of the first embodiment of the method for adjusting simulated lung parameters based on a ventilator provided in this application;

[0058] Figure 2 A schematic diagram of the structure of a ventilator and a simulated lung provided in an embodiment of a simulated lung parameter adjustment method based on a ventilator of the present application;

[0059] Figure 3 This is a schematic diagram of the module structure of a simulated lung parameter adjustment device based on a ventilator according to an embodiment of the present application;

[0060] Figure 4 Schematic diagram of the device structure of the hardware operating environment involved in the ventilator-based simulated lung parameter adjustment method in the embodiment of the present application.

[0061] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0062] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0063] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0064] The main solution of the embodiment of the present application is: obtaining the initial compliance parameter and the initial resistance parameter of the simulated lung; adjusting the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline; fitting the resistance compensation value of the ventilator to obtain a fitting coefficient; adjusting the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter by the ventilator to obtain a target resistance parameter; and performing a ventilator performance test according to the target compliance parameter and the target resistance parameter.

[0065] In the actual testing and application process of the ventilator, it is necessary to constantly adjust the compliance and resistance parameters of the iron lung to test the ventilator equipment. In the traditional adjustment method, direct manual adjustment is required. When adjusting the compliance, the knob of the simulated iron lung is adjusted to the specified compliance position. When adjusting the resistance of the lung, different air resistances are replaced. The air resistance and the simulated lung are two independent devices. It is cumbersome and troublesome for the tester to operate. For the test of the ventilator equipment, the compliance and resistance of the simulated iron lung need to be constantly adjusted to meet the test requirements, resulting in poor adjustment efficiency and accuracy, and it cannot take into account different test environments (such as high and low temperatures, electromagnetic, etc.), which is prone to safety hazards. Therefore, how to achieve active adjustment of the compliance and resistance parameters of the simulated lung, improve the adjustment efficiency and accuracy, and adapt to different ventilator test scenarios is a problem that needs to be solved urgently.

[0066] The present application adjusts the compliance of the simulated lung according to the initial compliance parameters through the ventilator, so as to achieve accurate and efficient active adjustment of the compliance of the simulated lung, and fits the resistance compensation value of the ventilator, which effectively improves the adjustment accuracy of the resistance parameters. Therefore, the ventilator adjusts the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter, so as to achieve accurate and efficient active adjustment of the resistance parameters of the simulated lung, and then performs ventilator performance testing according to the target compliance parameter and the target resistance parameter, which can adapt to different ventilator testing scenarios, overcomes the technical defects of manual adjustment of the compliance and resistance parameters of the simulated lung, which are poor in efficiency and accuracy, and cannot take into account different testing environments, and can achieve active adjustment of the compliance and resistance parameters of the simulated lung, which effectively improves the adjustment efficiency and accuracy, and can adapt to different ventilator testing scenarios.

[0067] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a simulated lung parameter adjustment device based on a ventilator, etc. The following takes the simulated lung parameter adjustment device based on a ventilator as an example to illustrate this embodiment and the following embodiments.

[0068] Based on this, the embodiment of the present application provides a simulated lung parameter adjustment method based on a ventilator, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for adjusting simulated lung parameters based on a ventilator of the present application.

[0069] In this embodiment, the simulated lung parameter adjustment method based on a ventilator includes steps S10 to S70:

[0070] Step S10: Acquire the initial compliance parameter and initial resistance parameter of the simulated lung.

[0071] It should be noted that a simulated lung refers to a device used to simulate the function of human lungs. It can simulate the compliance and resistance characteristics of the lungs during normal breathing. In ventilator testing, parameter adjustment of the simulated lung is crucial to ensure accurate evaluation of ventilator performance. In this embodiment, the simulated lung is also called a simulated iron lung. Its internal structure and function are designed to simulate the physiological characteristics of human lungs. It usually includes air bags, airway resistance elements, pressure sensors and other parts, which can simulate the compliance and resistance characteristics of the lungs under different breathing conditions.

[0072] It can be understood that the compliance parameter of the lung refers to the difficulty of the lung to expand. The greater the compliance, the easier the lung to expand. The unit is: ml / cmH2O. The resistance parameter of the lung refers to the difficulty of airflow entering the lung. The greater the resistance, the smaller the flow into the lung. The unit is: cmH2O / (L*s).

[0073] It is worth noting that the initial compliance parameters and initial resistance parameters of the simulated lung refer to the parameters set by the user before starting the test according to the ventilator test requirements. These parameters can be preset values ​​or values ​​obtained through a specific test procedure. This embodiment does not impose specific restrictions on this.

[0074] Step S20: adjusting the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung via a connecting pipeline.

[0075] It should be noted that the ventilator automatically adjusts the compliance of the simulated lung through its control system. This adjustment process is dynamic and can be adjusted based on real-time feedback to ensure that the compliance of the simulated lung is consistent with the measured value of the ventilator.

[0076] It is understood that a ventilator is a medical device used to help a patient breathe, which mechanically simulates the natural breathing process of the human body to provide respiratory support. In this embodiment, the ventilator is connected to a simulated lung, and the compliance of the simulated lung is adjusted by controlling airflow and pressure.

[0077] It is worth noting that, in this embodiment, the ventilator includes an airflow generating device, a connecting pipeline connected to the air outlet of the airflow generating device, a main control chip, and a pressure sensor and a flow sensor respectively connected to the connecting pipeline; the pressure sensor and the flow sensor are located at one end of the connecting pipeline, and transmit data with the main control chip. The electronic regulating valve is located at the air inlet of the iron lung device, at the rear end of the pressure sensor and the flow sensor, and is connected and controlled with the main control chip. A motor drive device is also provided at the simulated lung compliance adjustment knob, which is connected and controlled with the main control chip, such as Figure 2 As shown, Figure 2 Schematic diagram of the structure of the ventilator and simulated lung.

[0078] Step S30: fitting the resistance compensation value of the ventilator to obtain a fitting coefficient.

[0079] It should be noted that the fitting coefficients refer to the parameters used to describe the relationship between variables in the mathematical model, which are obtained by the mathematical method of minimizing the error to ensure that the model can reflect the actual data as accurately as possible. In this embodiment, the calculation of the fitting coefficients is to optimize the output of the ventilator so that it can accurately simulate the resistance characteristics that match the simulated lung.

[0080] It is understandable that in the control system of the ventilator, due to the existence of the ventilator pipeline and airway, the ventilator itself has a resistance, so we need to obtain the resistance value of the ventilator at different flow rates, and compensate for the resistance of the ventilator itself in the subsequent resistance adjustment. Through the fitting algorithm, one or more fitting coefficients can be obtained, which can reflect the resistance compensation characteristics of the ventilator under different working conditions. The fitting coefficient is obtained through a series of test data, which reflects the relationship between the output of the ventilator and the actual resistance of the simulated lung under different resistance settings. Through these data, a mathematical model can be established, so that in actual operation, the corresponding resistance compensation value can be calculated according to the model to ensure that the output of the ventilator matches the resistance parameters of the simulated lung.

[0081] In a feasible implementation, step S30 includes: controlling the ventilator to output gas at different flow rates and exhausting gas to the air through the pipeline outlet, obtaining a first pressure value of the first pressure sensor and a second pressure value of the second pressure sensor; fitting the resistance compensation value of the ventilator according to the different flow rates, the first pressure value and the second pressure value to obtain a fitting coefficient.

[0082] It should be noted that controlling the ventilator to output different flow rates of gas can be achieved through a software program, which controls the airflow generating device of the ventilator to generate different flow rates of gas. During the test, an initial flow value is first set, and then the flow rate is gradually increased or decreased to simulate different breathing states. After each change in flow, the pressure values ​​at the outlet and the end of the pipeline are measured by the first pressure sensor connected to the outlet of the pipeline and the second pressure sensor at the end of the pipeline. These pressure values, together with the flow value, constitute the input data of the fitting algorithm, which is used to calculate the resistance compensation value of the ventilator. Through these data points, the least squares method or other fitting algorithms can be used to determine the fitting coefficients, which can describe the resistance characteristics of the ventilator at different flow rates, thereby providing accurate compensation values ​​for the subsequent simulated lung resistance adjustment. The determination of the fitting coefficient is achieved by minimizing the difference between the actual measured value and the model predicted value, ensuring that the gas flow output by the ventilator matches the resistance characteristics of the simulated lung.

[0083] It is understandable that the ventilator outputs different flow rates Flow = {flow1, flow2, flow3, ... flow n}, the gas is discharged to the air from the gas outlet of the pipeline, and the pressure value P1 of the first pressure sensor and the pressure value P2 of the second pressure sensor at the pipeline end are recorded.

[0084] In a feasible implementation, the resistance compensation value of the ventilator is fitted according to the different flow rates, the first pressure value, and the second pressure value to obtain a fitting coefficient, including: determining the resistance compensation value at different flow rates according to the different flow rates, the first pressure value, and the second pressure value; performing data fitting according to the resistance compensation value at the different flow rates and the corresponding flow rates to obtain a fitting coefficient.

[0085] It should be noted that different flow rates Flow = {flow1, flow2, flow3, ... flow n}, the value P1 of the first pressure sensor and the pressure value P2 of the second pressure sensor can be used to obtain the ventilator resistance compensation value R_respirator = (P2-P1) / Flow = {r1, r2, r3, ..., r n}, data fitting is performed according to the resistance compensation value R_respirator and the ventilator flow Flow value, and the fitting equation is R=a*Flow+b, so as to obtain the fitting coefficients a and b, and store the fitting coefficients a and b in the storage medium of the ventilator.

[0086] Step S40: adjusting the resistance of the simulated lung by a ventilator based on the fitting coefficient, the target compliance parameter and the initial resistance parameter to obtain a target resistance parameter.

[0087] It should be noted that when adjusting the resistance, the ventilator uses the obtained fitting coefficient to compensate the initial resistance parameter to ensure that the resistance characteristics of the simulated lung match the target resistance parameters. The control system of the ventilator automatically adjusts the opening of the electronic resistance regulating valve to change the resistance characteristics of the simulated lung. This process is also a dynamic adjustment process. The ventilator monitors the changes in the resistance of the simulated lung in real time, compares it with the resistance parameters measured by the ventilator, and continuously adjusts to achieve the best matching state.

[0088] It is understood that the ventilator automatically adjusts the resistance of the simulated lung through its control system. This adjustment process is dynamic and can be adjusted based on real-time feedback to ensure that the resistance of the simulated lung is consistent with the measured value of the ventilator.

[0089] Step S50: performing a ventilator performance test according to the target compliance parameter and the target resistance parameter.

[0090] It should be noted that after the resistance and compliance adjustments are completed, the state of the compliance adjustment knob controlled by the electronic resistance valve and the motor drive device is the resistance and compliance values ​​that the user needs to set. The ventilator displays the compliance and resistance values ​​of the simulated lung and prompts the user that the adjustment is completed and to continue with subsequent testing.

[0091] It is understandable that the purpose of the ventilator performance test is to verify whether the ventilator can achieve the expected performance standards after adjusting the compliance and resistance of the simulated lung. During the test, the ventilator will simulate different breathing patterns on the simulated lung, including normal breathing, deep breathing, rapid breathing, etc., to ensure that the ventilator can provide accurate respiratory support in various breathing patterns. The performance test also includes an evaluation of the ventilator's response time, stability and accuracy to ensure its reliability and safety in clinical applications.

[0092] The present embodiment provides a simulated lung parameter adjustment method based on a ventilator, by obtaining an initial compliance parameter and an initial resistance parameter of a simulated lung; adjusting the compliance of the simulated lung according to the initial compliance parameter by the ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline; fitting a resistance compensation value of the ventilator to obtain a fitting coefficient; adjusting the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter by the ventilator to obtain a target resistance parameter; and performing a ventilator performance test according to the target compliance parameter and the target resistance parameter, thereby realizing active adjustment of the compliance and resistance parameters of the simulated lung, effectively improving the adjustment efficiency and accuracy, and adapting to different ventilator test scenarios.

[0093] In summary, in this embodiment, the compliance of the simulated lung is adjusted according to the initial compliance parameters by the ventilator, so that accurate and efficient active adjustment of the compliance of the simulated lung can be achieved, and the resistance compensation value of the ventilator is fitted, which effectively improves the adjustment accuracy of the resistance parameters. Therefore, the resistance of the simulated lung is adjusted based on the fitting coefficient, the target compliance parameter and the initial resistance parameter by the ventilator, so that accurate and efficient active adjustment of the resistance parameters of the simulated lung can be achieved, and then the ventilator performance test is performed according to the target compliance parameter and the target resistance parameter, which can adapt to different ventilator test scenarios, overcome the technical defects of manual adjustment of the compliance and resistance parameters of the simulated lung, which are poor in efficiency and accuracy, and cannot take into account different test environments, and can achieve active adjustment of the compliance and resistance parameters of the simulated lung, effectively improve the adjustment efficiency and accuracy, and can adapt to different ventilator test scenarios.

[0094] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. On this basis, step S20 includes steps S201 to S205:

[0095] Step S201: Obtaining the initial pressure of the simulated lung.

[0096] It should be noted that the initial pressure of the simulated lung refers to the pressure state inside the simulated lung before the flow output device of the ventilator generates a constant flow of air. This state simulates the natural pressure level of the lung when it is not affected by external airflow and is an important reference data before compliance adjustment.

[0097] It is understood that the initial pressure of the simulated lung can be monitored in real time by a pressure sensor to ensure that the pressure changes of the simulated lung during the adjustment process can be accurately recorded.

[0098] Step S202: Control the flow output device of the ventilator to generate a constant flow of air and collect the tidal volume of the flow sensor and the current pressure of the simulated lung after the air flow output is completed.

[0099] It should be noted that the flow sensor refers to a device that measures the amount of airflow generated by the airflow output device, and the tidal volume refers to the amount of gas that enters and leaves the lungs during each breath during the respiratory cycle. By measuring the tidal volume and the current pressure of the simulated lung, the ventilator can calculate the compliance of the simulated lung, that is, the ability of the simulated lung to respond to changes in airflow. This data is crucial for subsequent compliance adjustments because it provides baseline information before adjustment.

[0100] It is understandable that after the current pressure of the simulated lung, that is, the flow output device of the ventilator generates a constant flow of air, the pressure state inside the simulated lung can also be monitored in real time by the pressure sensor.

[0101] It is worth noting that, according to the initial compliance parameter C_Set set by the user, the ventilator adjusts the electronic resistance regulating valve to a fixed resistance R_cons. The flow output device of the ventilator generates a constant flow of air, and the capacity control can be 500ml, which is not specifically limited in this embodiment. After the capacity output is completed, the flow information of the flow sensor is calculated to obtain the tidal volume Vt and the pressure difference Delta_p generated by the simulated lung before and after the control.

[0102] Step S203: determining the pressure difference of the simulated lung according to the initial pressure and the current pressure.

[0103] It should be noted that the pressure difference Delta_p generated by the simulated lung before and after control can be determined based on the initial pressure of the simulated lung before the flow output device of the ventilator generates a constant flow of air and the current pressure of the simulated lung after the flow output device of the ventilator generates a constant flow of air.

[0104] Step S204: performing calculation according to the tidal volume and the pressure difference to obtain a reference compliance parameter.

[0105] It should be noted that the reference compliance parameter is the compliance parameter of the simulated lung fed back by the ventilator, which reflects the responsiveness of the simulated lung to changes in airflow. By calculating the ratio of tidal volume to pressure difference, the compliance of the simulated lung can be obtained, that is, the volume change of the simulated lung under unit pressure change.

[0106] It is understood that the calculation formula for compliance is:

[0107] C_reback=Vt / Delta_p

[0108] Among them, C_reback is the reference compliance parameter, Vt is the tidal volume, and Delta_p is the pressure difference of the simulated lung.

[0109] Step S205: adjusting the compliance of the simulated lung according to the initial compliance parameter and the reference compliance parameter to obtain a target compliance parameter.

[0110] It should be noted that during the adjustment process, the ventilator compares the reference compliance parameter with the initial compliance parameter, and changes the compliance of the simulated lung by adjusting the compliance adjustment knob until the target compliance parameter is reached. This process is dynamic and requires the ventilator to monitor and adjust in real time to ensure that the compliance of the simulated lung matches the target value. After the adjustment is completed, the ventilator will display the target compliance parameter, prompting the user that the adjustment is successful, and prepare for the next step of resistance adjustment. In this way, the ventilator can accurately simulate the lung compliance of different patients and provide more accurate respiratory support for clinical practice.

[0111] In a feasible implementation, step S205 includes: comparing the initial compliance parameter with the reference compliance parameter to obtain a first comparison result; when the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter does not reach a preset compliance error threshold, controlling the compliance adjustment knob of the simulated lung to perform feedback adjustment and re-executing the step of obtaining the initial pressure of the simulated lung; when the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter reaches a preset compliance error threshold, using the reference compliance parameter as the target compliance parameter.

[0112] It should be noted that a motor drive device is provided at the compliance adjustment knob, which can accurately control the rotation of the compliance adjustment knob of the simulated lung, thereby achieving fine adjustment of the compliance of the simulated lung. The addition of the motor drive device makes the adjustment process more automated and precise, reducing the errors and adjustment time of manual operation. Under the control of the motor drive device, the compliance of the simulated lung can be quickly and accurately adjusted to the target compliance parameters, ensuring the accuracy and reliability of the ventilator performance test. In addition, the use of the motor drive device also improves the repeatability and consistency of the adjustment process.

[0113] It can be understood that, based on the feedback C_reback, i.e., the reference compliance parameter, and the set C_Set, i.e., the initial compliance parameter, the ventilator controls the motor drive device on the compliance adjustment knob to perform feedback adjustment, and the above steps are repeated. After continuous feedback adjustment, when C_reback reaches stability and is within the control error threshold range compared with C_Set, the compliance adjustment of the simulated lung is completed, and the reference compliance parameter fed back by the ventilator at this time is used as the target compliance parameter.

[0114] This embodiment generates a constant flow of air by controlling the flow output device of the ventilator and collects the tidal volume of the flow sensor after the airflow output is completed and the pressure difference generated by the simulated lung before and after control, and then quickly and accurately calculates the reference compliance parameters fed back by the ventilator based on the tidal volume and the pressure difference, thereby adjusting the compliance of the simulated lung in combination with the initial compliance parameters, effectively improving the accuracy and efficiency of the compliance adjustment.

[0115] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above introduction, and will not be described in detail later. On this basis, step S40 includes steps S401 to S405:

[0116] Step S401: When the ventilator is at a target compliance parameter, the flow output device of the ventilator is controlled to generate a constant flow of air and collect the flow of the flow sensor and the peak pressure and platform pressure of the pressure sensor after the airflow output is completed.

[0117] It should be noted that peak pressure and plateau pressure refer to the highest pressure that the simulated lung withstands and the stable pressure maintained for a period of time during the respiratory cycle. Peak pressure is the highest pressure reached by the simulated lung during the inhalation phase, while plateau pressure is the relatively stable lower pressure maintained by the simulated lung at the end of the exhalation phase. By measuring these two pressure values, the performance of the simulated lung in different respiratory stages can be evaluated.

[0118] It is understandable that, according to the reference resistance parameter R_Set of the simulated lung set by the user, the simulated lung fixes a compliance (such as the pre-adjusted target compliance parameter C_reback). The flow output device of the ventilator generates a constant flow of airflow Flow, and the capacity control can be 500ml. After the capacity output is completed, the Flow obtained by the flow sensor and the pressure peak value obtained by the pressure sensor, that is, the peak pressure Ppeak, and the platform pressure Pplat are calculated.

[0119] Step S402: Calculate based on the flow rate, the peak pressure and the plateau pressure to obtain a reference resistance parameter.

[0120] It should be noted that the reference resistance parameter is the resistance parameter of the simulated lung fed back by the ventilator, which reflects the simulated lung's resistance to airflow changes. By calculating the ratio of flow rate to the pressure difference between peak pressure and plateau pressure, the resistance of the simulated lung can be obtained, that is, the pressure change of the simulated lung under unit flow change. The calculation formula of resistance is:

[0121] R_reback=(Ppeak-Pplat) / Flow

[0122] Among them, R_reback is the reference resistance parameter, Vt is Ppeak is the peak pressure, Pplat is the platform pressure, and Flow is the flow rate.

[0123] Step S403: determining a target resistance compensation value according to the fitting coefficient and the flow rate.

[0124] It should be noted that the target resistance compensation value refers to the resistance compensation value R_respirator under the flow rate Flow, and the calculation formula of the target resistance compensation value is:

[0125] R_respirator=a*Flow+b

[0126] Among them, R_respirator is the target resistance compensation value, Flow is the flow rate, and a and b are fitting coefficients.

[0127] Step S404: determining the compensated resistance parameter according to the initial resistance parameter and the target resistance compensation value.

[0128] It should be noted that the compensated resistance parameter refers to the sum of the initial resistance parameter R_Set and the resistance compensation value R_respirator under the flow rate Flow.

[0129] Step S405: adjusting the resistance of the simulated lung according to the reference resistance parameter and the compensated resistance parameter to obtain a target resistance parameter.

[0130] It should be noted that during the adjustment process, the ventilator compares the reference resistance parameter with the compensated resistance parameter, and changes the resistance of the simulated lung by adjusting the opening and closing degree of the electronic resistance regulating valve until the target resistance parameter is reached. This process also requires the ventilator to monitor and adjust in real time to ensure that the resistance of the simulated lung matches the target value. After the adjustment is completed, the ventilator will display the target resistance parameter, prompting the user that the adjustment is successful, and prepare for the next test. In this way, the ventilator can accurately simulate the lung resistance of different patients.

[0131] In a feasible implementation, step S405 includes: comparing the reference resistance parameter and the compensated resistance parameter to obtain a second comparison result; when the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter does not reach a preset resistance error threshold, adjusting the opening and closing degree of the electronic resistance regulating valve of the ventilator, and re-executing the steps of controlling the flow output device of the ventilator to generate a constant flow of airflow when the ventilator is in a target compliance parameter and collecting the flow of the flow sensor after the airflow output is completed, as well as the peak pressure and platform pressure of the pressure sensor; when the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter reaches a preset resistance error threshold, using the reference resistance parameter as the target resistance parameter.

[0132] It should be noted that, based on the comparison between R_reback, i.e., the reference resistance parameter, and R_Set_Compen, i.e., the compensated resistance parameter, fed back by the ventilator, the ventilator controls the electronic resistance regulating valve for feedback adjustment. The electronic resistance regulating valve can adjust the opening and closing degree of the valve to adjust the value of the air resistance. The above steps are repeated. After continuous feedback adjustment, R_reback becomes stable and is within the control error threshold range compared with R_Set_Compen. The compliance adjustment of the simulated lung is completed, and the reference resistance parameter fed back by the ventilator at this time is used as the target resistance parameter.

[0133] It can be understood that in the present application, the user manually sets the compliance and resistance of the simulated iron lung on the ventilator device, and the ventilator controls the airflow output to calculate the compliance and resistance of the iron lung. When the compliance or resistance does not reach the set value, the ventilator controls the drive device or the electronic regulating valve to adjust the compliance and resistance of the simulated iron lung. After the adjustment is stable, the compliance or resistance calculated by the ventilator is the compliance and resistance value of the simulated iron lung that the user needs to set, which can effectively improve the adjustment efficiency and accuracy.

[0134] This embodiment controls the flow output device of the ventilator to generate a constant flow of air when the ventilator is at a target compliance parameter, and collects the flow of the flow sensor and the peak pressure and platform pressure of the pressure sensor after the airflow output is completed, thereby quickly and accurately calculating the reference resistance parameters, and compensating the initial resistance parameters according to the fitting coefficient and the target resistance compensation value determined by the flow, which can effectively improve the accuracy of the resistance parameter adjustment, and then adjust the resistance of the simulated lung according to the reference resistance parameters and the compensated resistance parameters, effectively improving the accuracy and efficiency of the resistance adjustment.

[0135] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the simulated lung parameter adjustment method based on a ventilator of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0136] This application also provides a simulated lung parameter adjustment device based on a ventilator, please refer to Figure 3 , the simulated lung parameter adjustment device based on the ventilator comprises:

[0137] The acquisition module 10 is used to acquire the initial compliance parameter and the initial resistance parameter of the simulated lung.

[0138] The adjustment module 20 is used to adjust the compliance of the simulated lung according to the initial compliance parameter through a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline.

[0139] The fitting module 30 is used to fit the resistance compensation value of the ventilator to obtain a fitting coefficient.

[0140] The adjustment module 20 is further used to adjust the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter through a ventilator to obtain a target resistance parameter.

[0141] The testing module 40 is used to perform a ventilator performance test according to the target compliance parameter and the target resistance parameter.

[0142] The simulated lung parameter adjustment device based on a ventilator provided in the present application adopts the simulated lung parameter adjustment method based on a ventilator in the above-mentioned embodiment, which can solve the technical problems that the compliance and resistance parameters of the simulated lung are poorly adjusted in efficiency and accuracy and cannot take into account different test environments. Compared with the prior art, the beneficial effects of the simulated lung parameter adjustment device based on a ventilator provided in the present application are the same as the beneficial effects of the simulated lung parameter adjustment method based on a ventilator provided in the above-mentioned embodiment, and the other technical features of the simulated lung parameter adjustment device based on a ventilator are the same as the features disclosed in the above-mentioned embodiment method, which will not be described in detail here.

[0143] In one embodiment, the regulating module 20 is further used to obtain the initial pressure of the simulated lung;

[0144] Controlling the flow output device of the ventilator to generate a constant flow of air and collecting the tidal volume of the flow sensor and the current pressure of the simulated lung after the air flow output is completed;

[0145] determining a pressure difference of a simulated lung according to the initial pressure and the current pressure;

[0146] Calculating according to the tidal volume and the pressure difference to obtain a reference compliance parameter;

[0147] The simulated lung is subjected to compliance adjustment according to the initial compliance parameter and the reference compliance parameter to obtain a target compliance parameter.

[0148] The calculation formula of the reference compliance parameter is:

[0149] C_reback=Vt / Delta_p

[0150] Among them, C_reback is the reference compliance parameter, Vt is the tidal volume, and Delta_p is the pressure difference of the simulated lung.

[0151] In one embodiment, the adjustment module 20 is further used to compare the initial compliance parameter with the reference compliance parameter to obtain a first comparison result;

[0152] When the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter does not reach a preset compliance error threshold, controlling the compliance adjustment knob of the simulated lung to perform feedback adjustment and re-performing the step of obtaining the initial pressure of the simulated lung;

[0153] When the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter reaches a preset compliance error threshold, the reference compliance parameter is used as a target compliance parameter.

[0154] In one embodiment, the fitting module 30 is further used to control the ventilator to output gas of different flow rates and to discharge gas to the air through the pipeline outlet, so as to obtain the first pressure value of the first pressure sensor and the second pressure value of the second pressure sensor;

[0155] The resistance compensation value of the ventilator is fitted according to the different flow rates, the first pressure value and the second pressure value to obtain a fitting coefficient.

[0156] In one embodiment, the fitting module 30 is further used to determine the resistance compensation value under different flow rates according to the different flow rates, the first pressure value and the second pressure value;

[0157] Data fitting is performed according to the resistance compensation values ​​under the different flow rates and the corresponding flow rates to obtain a fitting coefficient.

[0158] In one embodiment, the regulating module 20 is further used to control the flow output device of the ventilator to generate a constant flow of air when the ventilator is at a target compliance parameter and collect the flow of the flow sensor after the airflow output is completed and the peak pressure and platform pressure of the pressure sensor;

[0159] Calculating based on the flow rate, the peak pressure and the plateau pressure to obtain a reference resistance parameter;

[0160] determining a target resistance compensation value according to the fitting coefficient and the flow rate;

[0161] Determining a compensated resistance parameter according to the initial resistance parameter and the target resistance compensation value;

[0162] Adjusting the resistance of the simulated lung according to the reference resistance parameter and the compensated resistance parameter to obtain a target resistance parameter;

[0163] The calculation formula of the reference resistance parameter is:

[0164] R_reback=(Ppeak-Pplat) / Flow

[0165] Among them, R_reback is the reference resistance parameter, Vt is Ppeak is the peak pressure, Pplat is the platform pressure, and Flow is the flow rate.

[0166] In one embodiment, the adjustment module 20 is further used to compare the reference resistance parameter with the compensated resistance parameter to obtain a second comparison result;

[0167] When the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter does not reach the preset resistance error threshold, adjusting the opening and closing degree of the electronic resistance regulating valve of the ventilator, and re-performing the steps of controlling the flow output device of the ventilator to generate a constant flow of airflow when the ventilator is at the target compliance parameter and collecting the flow of the flow sensor after the airflow output is completed, as well as the peak pressure and platform pressure of the pressure sensor;

[0168] When the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter reaches a preset resistance error threshold, the reference resistance parameter is used as the target resistance parameter.

[0169] The present application provides a simulated lung parameter adjustment device based on a ventilator, and the simulated lung parameter adjustment device based on a ventilator includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the simulated lung parameter adjustment method based on the ventilator in the above-mentioned embodiment one.

[0170] Reference below Figure 4 , which shows a schematic diagram of the structure of a simulated lung parameter adjustment device based on a ventilator suitable for implementing the embodiment of the present application. The simulated lung parameter adjustment device based on a ventilator in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The ventilator-based simulated lung parameter adjustment device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0171] like Figure 4As shown, the simulated lung parameter adjustment device based on the ventilator may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the simulated lung parameter adjustment device based on the ventilator are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the simulated lung parameter adjustment device based on the ventilator to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a simulated lung parameter adjustment device based on the ventilator with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or provided alternatively.

[0172] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0173] The simulated lung parameter adjustment device based on a ventilator provided in the present application adopts the simulated lung parameter adjustment method based on a ventilator in the above-mentioned embodiment, which can solve the technical problems that the compliance and resistance parameters of the simulated lung are poorly adjusted in efficiency and accuracy and cannot take into account different test environments. Compared with the prior art, the beneficial effects of the simulated lung parameter adjustment device based on a ventilator provided in the present application are the same as the beneficial effects of the simulated lung parameter adjustment method based on a ventilator provided in the above-mentioned embodiment, and the other technical features of the simulated lung parameter adjustment device based on a ventilator are the same as the features disclosed in the method of the previous embodiment, which will not be described in detail here.

[0174] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0175] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0176] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer program) stored thereon, and the computer-readable program instructions are used to execute the ventilator-based simulated lung parameter adjustment method in the above-mentioned embodiment.

[0177] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0178] The computer-readable storage medium may be included in the simulated lung parameter adjustment device based on a ventilator; or may exist independently without being assembled into the simulated lung parameter adjustment device based on a ventilator.

[0179] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the simulated lung parameter adjustment device based on a ventilator, the simulated lung parameter adjustment device based on a ventilator: obtains an initial compliance parameter and an initial resistance parameter of the simulated lung; performs compliance adjustment on the simulated lung according to the initial compliance parameter by the ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline; performs resistance compensation value fitting on the ventilator to obtain a fitting coefficient; performs resistance adjustment on the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter by the ventilator to obtain a target resistance parameter; and performs a ventilator performance test according to the target compliance parameter and the target resistance parameter.

[0180] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0181] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0182] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0183] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned simulated lung parameter adjustment method based on a ventilator, and can solve the technical problems that the compliance and resistance parameters of the simulated lung are poorly adjusted in efficiency and accuracy, and cannot take into account different test environments. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the simulated lung parameter adjustment method based on a ventilator provided in the above-mentioned embodiment, and will not be repeated here.

[0184] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned ventilator-based simulated lung parameter adjustment method.

[0185] The computer program product provided by the present application can solve the technical problems that the manual adjustment of the compliance and resistance parameters of the simulated lung is inefficient and inaccurate, and cannot take into account different test environments. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the simulated lung parameter adjustment method based on the ventilator provided in the above embodiment, and will not be described in detail here.

[0186] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for adjusting simulated lung parameters based on a ventilator, characterized in that: The method comprises: Obtaining initial compliance parameters and initial resistance parameters of the simulated lung; Adjusting the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung via a connecting pipeline; Fitting the resistance compensation value of the ventilator to obtain a fitting coefficient; By using a ventilator, the simulated lung is subjected to resistance adjustment based on the fitting coefficient, the target compliance parameter and the initial resistance parameter to obtain a target resistance parameter; A ventilator performance test is performed according to the target compliance parameter and the target resistance parameter.

2. The method according to claim 1, characterized in that The step of adjusting the compliance of the simulated lung according to the initial compliance parameter by a ventilator to obtain a target compliance parameter comprises: Obtain the initial pressure of the simulated lung; Controlling the flow output device of the ventilator to generate a constant flow of air and collecting the tidal volume of the flow sensor and the current pressure of the simulated lung after the air flow output is completed; determining a pressure difference of a simulated lung according to the initial pressure and the current pressure; Calculating according to the tidal volume and the pressure difference to obtain a reference compliance parameter; The simulated lung is subjected to compliance adjustment according to the initial compliance parameter and the reference compliance parameter to obtain a target compliance parameter. The calculation formula of the reference compliance parameter is: C_reback=Vt / Delta_p Among them, C_reback is the reference compliance parameter, Vt is the tidal volume, and Delta_p is the pressure difference of the simulated lung.

3. The method according to claim 2, characterized in that The step of adjusting the compliance of the simulated lung according to the initial compliance parameter and the reference compliance parameter to obtain a target compliance parameter comprises: Comparing the initial compliance parameter with the reference compliance parameter to obtain a first comparison result; When the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter does not reach a preset compliance error threshold, controlling the compliance adjustment knob of the simulated lung to perform feedback adjustment and re-performing the step of obtaining the initial pressure of the simulated lung; When the first comparison result is that the error between the initial compliance parameter and the reference compliance parameter reaches a preset compliance error threshold, the reference compliance parameter is used as a target compliance parameter.

4. The method according to claim 1, characterized in that The step of fitting the resistance compensation value of the ventilator to obtain a fitting coefficient includes: Control the ventilator to output gas of different flow rates and discharge the gas to the air through the gas outlet of the pipeline, and obtain a first pressure value of the first pressure sensor and a second pressure value of the second pressure sensor; The resistance compensation value of the ventilator is fitted according to the different flow rates, the first pressure value and the second pressure value to obtain a fitting coefficient.

5. The method according to claim 4, characterized in that The step of fitting the resistance compensation value of the ventilator according to the different flow rates, the first pressure value, and the second pressure value to obtain a fitting coefficient includes: Determining resistance compensation values ​​at different flow rates according to the different flow rates, the first pressure value, and the second pressure value; Data fitting is performed according to the resistance compensation values ​​under the different flow rates and the corresponding flow rates to obtain a fitting coefficient.

6. The method according to claim 1, characterized in that The step of adjusting the resistance of the simulated lung by a ventilator based on the fitting coefficient, the target compliance parameter and the initial resistance parameter to obtain the target resistance parameter comprises: When the ventilator is at a target compliance parameter, controlling the flow output device of the ventilator to generate a constant flow of air and collecting the flow of the flow sensor and the peak pressure and platform pressure of the pressure sensor after the airflow output is completed; Calculating based on the flow rate, the peak pressure and the plateau pressure to obtain a reference resistance parameter; Determine a target resistance compensation value according to the fitting coefficient and the flow rate; Determining a compensated resistance parameter according to the initial resistance parameter and the target resistance compensation value; Adjusting the resistance of the simulated lung according to the reference resistance parameter and the compensated resistance parameter to obtain a target resistance parameter; The calculation formula of the reference resistance parameter is: R_reback=(Ppeak-Pplat) / Flow Among them, R_reback is the reference resistance parameter, Vt is Ppeak is the peak pressure, Pplat is the platform pressure, and Flow is the flow rate.

7. The method according to claim 6, characterized in that The step of adjusting the resistance of the simulated lung according to the reference resistance parameter and the compensated resistance parameter to obtain a target resistance parameter includes: Comparing the reference resistance parameter with the compensated resistance parameter to obtain a second comparison result; When the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter does not reach the preset resistance error threshold, adjusting the opening and closing degree of the electronic resistance regulating valve of the ventilator, and re-performing the steps of controlling the flow output device of the ventilator to generate a constant flow of airflow when the ventilator is at the target compliance parameter and collecting the flow of the flow sensor after the airflow output is completed, as well as the peak pressure and platform pressure of the pressure sensor; When the second comparison result is that the error between the reference resistance parameter and the compensated resistance parameter reaches a preset resistance error threshold, the reference resistance parameter is used as the target resistance parameter.

8. A simulated lung parameter adjustment device based on a ventilator, characterized in that: The simulated lung parameter adjustment device based on the ventilator comprises: An acquisition module, used for acquiring initial compliance parameters and initial resistance parameters of the simulated lung; an adjustment module, configured to adjust the compliance of the simulated lung according to the initial compliance parameter through a ventilator to obtain a target compliance parameter, wherein the ventilator is connected to the simulated lung through a connecting pipeline; A fitting module, used for fitting the resistance compensation value of the ventilator to obtain a fitting coefficient; The adjustment module is further used to adjust the resistance of the simulated lung based on the fitting coefficient, the target compliance parameter and the initial resistance parameter through a ventilator to obtain a target resistance parameter; A testing module is used to perform a ventilator performance test based on the target compliance parameter and the target resistance parameter.

9. A simulated lung parameter adjustment device based on a ventilator, characterized in that: The ventilator-based simulated lung parameter adjustment device comprises: a memory, a processor, and a ventilator-based simulated lung parameter adjustment program stored in the memory and executable on the processor, wherein the ventilator-based simulated lung parameter adjustment program is configured to implement the ventilator-based simulated lung parameter adjustment method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a ventilator-based simulated lung parameter adjustment program, which, when executed by a processor, implements a ventilator-based simulated lung parameter adjustment method as described in any one of claims 1 to 7.

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