A method and system for intelligent dynamic adjustment of ventilator parameters

Abstract

The present invention relates to the technical field of ventilators, and in particular to a method and system for intelligent dynamic adjustment of ventilator parameters. The present invention obtains mean positive end-expiratory pressure according to respiratory pressure characteristics, calculates oxygenation index according to respiratory rhythm characteristics and mean positive end-expiratory pressure, can accurately obtain the respiratory rhythm characteristics of patients, help determine the ventilation needs and lung function status of patients, dynamically adjust the mean positive end-expiratory pressure level according to respiratory pressure characteristics, can improve alveolar inflation and ventilation uniformity, thereby improving the oxygenation level, calculates oxygenation index according to real-time monitoring data, and intelligently and dynamically adjusts the ventilation parameters of the ventilator according to the calculation results, calculates ventilation response adjustment parameters according to the oxygenation index and the average ventilation volume, and adjusts the ventilation gear of the ventilator according to the ventilation response adjustment parameters, determines ventilation response adjustment parameters according to these data, and automatically adjusts according to monitoring data, reducing the need for manual intervention and improving efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of ventilators, and in particular to a method and system for intelligent dynamic adjustment of ventilator parameters. Background Art

[0002] A ventilator is a device that can replace, control or change a person's normal physiological breathing, increase lung ventilation, improve respiratory function, reduce respiratory function consumption, and save heart reserve capacity. The ventilator directly opens the airway by delivering a certain level of positive pressure to achieve the function of assisted breathing. At present, doctors will choose a more appropriate ventilation mode according to the patient's own breathing needs to meet the breathing and ventilation needs of patients with respiratory disorders. However, most ventilators can only adjust ventilation parameters manually, and cannot perform intelligent dynamic adjustment of the ventilator's ventilation gear according to the user's respiratory monitoring situation. Summary of the invention

[0003] The main purpose of the present invention is to provide a method for intelligent dynamic adjustment of ventilator parameters, aiming to solve the technical problems in the prior art.

[0004] The present invention proposes a method for intelligent dynamic adjustment of ventilator parameters, comprising:

[0005] Acquiring physiological characteristic information and respiratory pattern characteristic information of the user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information;

[0006] Acquire a respiratory flow rate waveform according to the respiratory flow rate characteristic information, and acquire a respiratory frequency according to the respiratory flow rate waveform;

[0007] Calculating the mean ventilation volume according to the respiratory frequency and tidal volume characteristic information;

[0008] Acquire a respiratory rhythm feature and a respiratory pressure feature according to the respiratory pattern feature information, and acquire an average positive end-expiratory pressure according to the respiratory pressure feature;

[0009] Calculating the oxygenation index according to the respiratory rhythm characteristics and the average positive end-expiratory pressure;

[0010] A ventilation response adjustment parameter is calculated according to the oxygenation index and the mean ventilation volume, and the ventilation gear of the ventilator is adjusted according to the ventilation response adjustment parameter.

[0011] Preferably, the step of obtaining the respiratory frequency according to the respiratory flow velocity waveform diagram comprises:

[0012] Acquire a plurality of peak values ​​and trough values ​​according to the respiratory flow rate waveform;

[0013] Mark the point corresponding to each peak value as an exhalation point, and obtain the time point corresponding to each exhalation point as the first time point;

[0014] The time point corresponding to the first exhalation point is recorded as the initial time point;

[0015] Mark the point corresponding to each trough value as an inhalation point, and obtain the time point corresponding to each exhalation point as a second time point;

[0016] The time point corresponding to the last inhalation point is recorded as the end time point;

[0017] The respiratory rate is calculated according to the first and second time points, wherein the calculation formula is:

[0018] ;

[0019] in, Respiratory rate, Indicates The first time point, Indicates A second time point, represents the number of the first time point, Indicates the end time point, Indicates the initial time point.

[0020] Preferably, the step of calculating the mean ventilation volume according to the respiratory frequency and tidal volume characteristic information comprises:

[0021] Acquire the total inhaled air volume and the total exhaled air volume within a preset time according to the tidal volume characteristic information;

[0022] The average tidal volume is calculated according to the total inhaled air volume, the total exhaled air volume and the preset time, wherein the calculation formula is:

[0023] ;

[0024] in, represents the average tidal volume value. Indicates the total amount of air inhaled, represents the total exhaled air volume, Indicates the preset time;

[0025] Get the weight factor of respiratory rate;

[0026] The mean ventilation is calculated according to the respiratory frequency, the mean tidal volume value and the weight factor of the respiratory frequency, wherein the calculation formula is:

[0027] ;

[0028] in, represents the mean ventilation volume, Respiratory rate, represents the average tidal volume value. Represents the weighting factor for the respiratory rate.

[0029] Preferably, the step of obtaining the average positive end-expiratory pressure according to the respiratory pressure characteristics comprises:

[0030] Acquire a plurality of breathing cycles according to the breathing pressure characteristics;

[0031] Acquire multiple pressure values ​​at the end of breathing according to each of the breathing cycles;

[0032] Sort the multiple pressure values ​​by size, and select the first-ranked pressure value as the positive end-expiratory pressure value;

[0033] The average positive end-expiratory pressure is calculated according to the multiple positive end-expiratory pressure values, wherein the calculation formula is:

[0034] ;

[0035] in, stands for mean positive end-expiratory pressure, Indicates PEEP value, Amount indicating positive end-expiratory pressure.

[0036] Preferably, the step of calculating the oxygenation index according to the respiratory rhythm characteristics and the average positive end-expiratory pressure comprises:

[0037] Acquire multiple respiratory cycles according to the respiratory rhythm characteristics;

[0038] Obtain the respiratory tidal volume and total oxygen uptake in each respiratory cycle;

[0039] The inhaled oxygen concentration value is calculated according to the multiple respiratory tidal volumes and the total oxygen uptake, wherein the calculation formula is:

[0040] ;

[0041] in, Indicates the inspired oxygen concentration value. Indicates Total oxygen uptake, Indicates The tidal volume of the breath, Indicates the amount of tidal volume breathed;

[0042] Acquire arterial blood carbon dioxide partial pressure and oxygen consumption ratio values ​​according to the respiratory rhythm characteristics;

[0043] The arterial blood oxygen partial pressure is calculated according to the inhaled oxygen concentration value, the arterial blood carbon dioxide partial pressure and the oxygen consumption ratio value, wherein the calculation formula is:

[0044] ;

[0045] in, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value. represents the partial pressure of carbon dioxide in arterial blood, Indicates the oxygen consumption ratio value;

[0046] Get the mean positive end-expiratory pressure;

[0047] The oxygenation index is calculated according to the inspired oxygen concentration, the mean positive end-expiratory pressure and the arterial oxygen partial pressure, wherein the calculation formula is:

[0048] ;

[0049] in, represents the oxygenation index, stands for mean positive end-expiratory pressure, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value.

[0050] Preferably, the step of calculating the ventilation response adjustment parameter according to the oxygenation index and the mean ventilation volume, and adjusting the ventilation gear of the ventilator according to the ventilation response adjustment parameter comprises:

[0051] Obtain the oxygenation index and the mean ventilation volume per minute, and calculate the ventilation response adjustment parameter according to the oxygenation index and the mean ventilation volume per minute, wherein the calculation formula is:

[0052] ;

[0053] in, represents the ventilation response regulation parameter, represents the oxygenation index, represents the mean ventilation volume;

[0054] Comparing the ventilation response adjustment parameter with a preset ventilation adjustment parameter-gear table to obtain a ventilation gear level;

[0055] The ventilation gear of the ventilator is adjusted according to the ventilation gear level, and multiple real-time arterial blood oxygen partial pressures of the user within a preset time period are obtained;

[0056] Draw an arterial oxygen partial pressure curve according to a plurality of real-time arterial oxygen partial pressures, and obtain a curvature according to the arterial oxygen partial pressure curve;

[0057] Determining whether the curvature is within a preset range;

[0058] If the curvature is greater than the upper limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too high, and the ventilator ventilation gear is lowered until the curvature is reduced to within the preset interval;

[0059] If the curvature is within the preset value range, it is determined that the user's real-time arterial oxygen partial pressure is normal, and the current ventilation gear of the ventilator is maintained;

[0060] If the curvature is less than the lower limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too low, and the ventilation gear of the ventilator is increased until the curvature increases to within the preset interval.

[0061] The present application also provides a ventilator parameter intelligent dynamic adjustment system, comprising:

[0062] A first acquisition module is used to acquire physiological characteristic information and respiratory pattern characteristic information of the user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information;

[0063] A second acquisition module is used to acquire a respiratory flow rate waveform according to the respiratory flow rate characteristic information, and acquire a respiratory frequency according to the respiratory flow rate waveform;

[0064] A first calculation module, used for calculating the mean ventilation volume according to the respiratory frequency and tidal volume characteristic information;

[0065] A third acquisition module is used to acquire a respiratory rhythm feature and a respiratory pressure feature according to the respiratory pattern feature information, and to acquire an average positive end-expiratory pressure according to the respiratory pressure feature;

[0066] A second calculation module is used to calculate the oxygenation index according to the respiratory rhythm characteristics and the average positive end-expiratory pressure;

[0067] The regulating module is used to calculate the ventilation response regulating parameter according to the oxygenation index and the mean ventilation volume, and to regulate the ventilation gear of the ventilator according to the ventilation response regulating parameter.

[0068] Preferably, the second acquisition module includes:

[0069] A first acquisition unit, configured to acquire a plurality of peak values ​​and trough values ​​according to the respiratory flow rate waveform;

[0070] A first marking unit, used for marking a point corresponding to each peak value as an exhalation point, and obtaining a time point corresponding to each exhalation point as a first time point;

[0071] A second marking unit is used to record the time point corresponding to the first exhalation point as the initial time point;

[0072] A third marking unit is used to mark the point corresponding to each trough value as an inhalation point, and obtain the time point corresponding to each exhalation point as a second time point;

[0073] A fourth marking unit, used to record the time point corresponding to the last inhalation point as the end time point;

[0074] A calculation unit is used to calculate the respiratory rate according to the first time points and the second time points, wherein the calculation formula is:

[0075] ;

[0076] in, Respiratory rate, Indicates The first time point, Indicates A second time point, represents the number of the first time point, Indicates the end time point, Indicates the initial time point.

[0077] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for intelligent dynamic adjustment of ventilator parameters when executing the computer program.

[0078] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for intelligent dynamic adjustment of ventilator parameters are implemented.

[0079] The beneficial effects of the present invention are as follows: the present invention obtains the respiratory frequency according to the respiratory flow rate waveform, and calculates the average ventilation volume according to the respiratory frequency and tidal volume characteristic information. In this way, the patient's respiratory frequency can be accurately obtained by analyzing the respiratory flow rate waveform. According to the real-time monitored respiratory frequency data, the ventilation frequency parameters of the ventilator are adjusted, which can better adapt to the patient's physiological respiratory rhythm needs and provide more effective respiratory regulation. The average positive end-expiratory pressure is obtained according to the respiratory pressure characteristics, and the oxygenation index is calculated according to the respiratory rhythm characteristics and the average positive end-expiratory pressure. By analyzing the respiratory pattern characteristic information, the patient's respiratory rhythm characteristics can be accurately obtained, and the analysis of the respiratory pressure characteristics can help Determine the patient's ventilation needs and lung function status, and dynamically adjust the mean positive end-expiratory pressure level according to the respiratory pressure characteristics, which can improve alveolar inflation and ventilation uniformity, thereby improving the oxygenation level. Calculate the oxygenation index based on real-time monitoring data, and adjust the ventilation parameters of the ventilator based on the calculation results to optimize the oxygenation status and ventilation effect. Calculate the ventilation response adjustment parameters based on the oxygenation index and the average ventilation volume per minute, and adjust the ventilation gear of the ventilator based on the ventilation response adjustment parameters. By calculating the oxygenation index and the average ventilation volume per minute, determine the ventilation response adjustment parameters based on these data, and automatically adjust them according to the monitoring data, reducing the need for manual intervention and improving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 The figure is a schematic diagram of a method flow according to an embodiment of the present invention.

[0081] Figure 2 FIG. 1 is a schematic diagram of a device structure according to an embodiment of the present invention.

[0082] Figure 3 A schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0083] Figure 4 Schematic diagram of the preset ventilation adjustment parameter-gear position of an embodiment of the present application

[0084] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0085] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0086] like Figure 1 As shown, the present application provides a method for intelligent dynamic adjustment of ventilator parameters, comprising:

[0087] S1. Acquire physiological characteristic information and respiratory pattern characteristic information of a user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information;

[0088] S2. acquiring a respiratory flow rate waveform according to the respiratory flow rate characteristic information, and acquiring a respiratory frequency according to the respiratory flow rate waveform;

[0089] S3, calculating the mean ventilation volume according to the respiratory frequency and tidal volume characteristic information;

[0090] S4, acquiring a respiratory rhythm feature and a respiratory pressure feature according to the respiratory pattern feature information, and acquiring an average positive end-expiratory pressure according to the respiratory pressure feature;

[0091] S5. calculating the oxygenation index according to the respiratory rhythm characteristics and the average positive end-expiratory pressure;

[0092] S6. Calculate a ventilation response adjustment parameter according to the oxygenation index and the mean ventilation volume, and adjust the ventilation gear of the ventilator according to the ventilation response adjustment parameter.

[0093] As described in the above steps S1-S6, a ventilator is a device that can replace, control or change a person's normal physiological breathing, increase lung ventilation, improve respiratory function, reduce respiratory function consumption, and save heart reserve capacity. The ventilator directly opens the airway by delivering a certain level of positive pressure to achieve the function of assisting breathing. At present, doctors will select a more appropriate ventilation mode in the ventilator according to the different conditions of the patients to meet the respiratory and ventilation needs of patients with respiratory disorders. However, most ventilators can only adjust the ventilation parameters manually, and cannot perform intelligent dynamic adjustment of the ventilation gear of the ventilator according to the user's respiratory monitoring situation. The present invention obtains the physiological characteristic information and breathing pattern characteristic information of the user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information, wherein the tidal volume characteristic information refers to the air volume information from the resting state to the maximum inhalation state in each breathing cycle of the patient, obtains the respiratory flow rate waveform according to the respiratory flow rate characteristic information, obtains the respiratory frequency according to the respiratory flow rate waveform, and calculates the average ventilation according to the respiratory frequency and tidal volume characteristic information. In this way, by analyzing the respiratory flow rate waveform, the patient's respiratory frequency can be accurately obtained. The respiratory frequency is one of the important indicators for evaluating the patient's ventilation state and lung function. The ventilation frequency parameters of the ventilator can be adjusted according to the real-time monitored respiratory frequency data, so as to better adapt to the patient's physiological respiratory rhythm requirements. By analyzing the respiratory flow rate characteristic information and the waveform, the respiratory frequency and tidal volume characteristics can be accurately obtained, and then the average ventilation can be calculated. Optimizing the average ventilation helps to improve gas exchange efficiency, ensure sufficient oxygenation and carbon dioxide discharge, thereby maintaining the patient's acid-base balance and oxygenation state. The respiratory rhythm characteristics and respiratory pressure characteristics are obtained according to the breathing pattern characteristic information, and the average end-tidal volume is obtained according to the respiratory pressure characteristics. Positive pressure, calculates the oxygenation index based on the respiratory rhythm characteristics and the mean positive end-expiratory pressure, where the respiratory rhythm characteristics refer to the time structure or periodic characteristics of the patient's breathing process, and the mean positive end-expiratory pressure refers to the positive pressure level maintained in the airway at the end of exhalation. In this way, by analyzing the respiratory pattern characteristic information, the patient's respiratory rhythm characteristics can be accurately obtained. Analyzing the respiratory pressure characteristics can help determine the patient's ventilation needs and lung function status. The ventilator can ensure that the patient obtains appropriate ventilation support and avoids over-ventilation or under-ventilation by monitoring and adjusting the pressure support level. Positive end-expiratory pressure is a key parameter for maintaining alveolar gas exchange function and preventing alveolar collapse. Dynamically adjusting the mean positive end-expiratory pressure level according to the respiratory pressure characteristics can improve alveolar inflation and ventilation uniformity, thereby improving oxygenation levels and reducing the risk of lung injury. The oxygenation index calculated based on the mean positive end-expiratory pressure and respiratory rhythm characteristics is an important indicator for evaluating the patient's oxygenation status. The oxygenation index is calculated based on real-time monitoring data, and the ventilation parameters of the ventilator are adjusted based on the calculation results to optimize the oxygenation status and ventilation effect. This real-time adjustment can more effectively support the patient's respiratory function.The ventilation response adjustment parameters are calculated according to the oxygenation index and the average ventilation volume per minute, and the ventilation gear of the ventilator is adjusted according to the ventilation response adjustment parameters. By calculating the oxygenation index and the average ventilation volume per minute, the patient's oxygenation status and ventilation effect can be accurately evaluated. The ventilation response adjustment parameters are determined based on these data to achieve personalized ventilation support. Different patients may have different requirements for ventilation parameters. Intelligent dynamic adjustment can be adjusted according to actual conditions to maximize the ventilation effect. By adjusting the ventilation gear of the ventilator, especially adjusting the mean positive end-expiratory pressure and the average ventilation volume per minute, the inflation and ventilation uniformity of the alveoli can be optimized, the oxygenation status can be improved, the efficiency of gas exchange can be improved, and the patient can be ensured to have sufficient oxygen supply. It is automatically adjusted according to the monitoring data, which reduces the need for manual intervention and improves efficiency.

[0094] In one embodiment, the step S2 of acquiring the respiratory frequency according to the respiratory flow velocity waveform diagram comprises:

[0095] S21, acquiring a plurality of peak values ​​and trough values ​​according to the respiratory flow rate waveform;

[0096] S22, marking the point corresponding to each peak value as an exhalation point, and obtaining the time point corresponding to each exhalation point, which is recorded as the first time point;

[0097] S23, recording the time point corresponding to the first exhalation point as the initial time point;

[0098] S24, marking the point corresponding to each trough value as an inhalation point, and obtaining the time point corresponding to each exhalation point, and recording it as a second time point;

[0099] S25, recording the time point corresponding to the last inhalation point as the end time point;

[0100] S26, calculating the respiratory rate according to the first time points and the second time points, wherein the calculation formula is:

[0101] ;

[0102] in, Respiratory rate, Indicates The first time point, Indicates A second time point, represents the number of the first time point, Indicates the end time point, Indicates the initial time point.

[0103] As described in the above steps S21-S26, the present invention obtains multiple peak values ​​and trough values ​​according to the respiratory flow rate waveform, marks the point corresponding to each peak value as an exhalation point and obtains the time point corresponding to each exhalation point as a first time point, marks the point corresponding to each trough value as an inhalation point and obtains the time point corresponding to each exhalation point as a second time point, so that by obtaining the peak value (i.e., the exhalation point) and the trough value (i.e., the inhalation point) in the respiratory flow rate waveform, the patient's respiratory rhythm can be accurately identified and analyzed, which helps to ensure that the ventilator is in harmony with the patient's natural respiratory rhythm. Synchronization can avoid the situation where mechanical ventilation is not coordinated with the patient's breathing. According to the respiratory rhythm information obtained by analysis (i.e. the first time point and the second time point), the ventilation gear and parameters of the ventilator can be accurately adjusted, such as setting the inspiration-expiration ratio and ventilation frequency, etc. This can ensure that the ventilation mode and settings of the ventilator are highly matched with the actual needs of the patient and provide the best ventilation support effect. The dynamic adjustment of the ventilation gear can be adjusted according to the real-time monitoring data to ensure the maximum ventilation effect and reduce the discomfort of mechanical ventilation on the patient. The exhalation point and the inhalation point can be correctly identified and marked, and used to Adjusting ventilation parameters through automated analysis and adjustment can improve work efficiency and reduce operational errors, thereby improving the overall quality of care for patients. The time point corresponding to the first exhalation point is recorded as the initial time point, and the time point corresponding to the last inhalation point is recorded as the termination time point. The respiratory rate is then calculated based on multiple first time points and second time points. In this way, by analyzing multiple first time points and second time points, the patient's respiratory rate can be accurately calculated. Respiratory rate is one of the important indicators for evaluating the patient's ventilation status and lung function. The changes in respiratory rate can be monitored in real time, and the ventilation frequency settings of the ventilator can be dynamically adjusted as needed to ensure that ventilation is synchronized with the patient's natural breathing rhythm. The calculation of respiratory rate can help adjust the ventilation frequency parameters of the ventilator more accurately. Based on the accurately calculated respiratory rate, the patient's ventilation needs can be more effectively managed, and the effect and safety of ventilation can be improved. Reasonable ventilation frequency settings help optimize gas exchange, maintain proper alveolar inflation and carbon dioxide excretion. Automated respiratory rate monitoring and adjustment enable the system to adapt to the patient's respiratory changes more quickly and adjust the ventilation strategy in time.

[0104] In one embodiment, the step S3 of calculating the mean ventilation volume according to the respiratory frequency and tidal volume characteristic information comprises:

[0105] S31, acquiring a total inhaled air volume and a total exhaled air volume within a preset time according to the tidal volume characteristic information;

[0106] S32, calculating the average tidal volume value according to the total inhaled air volume, the total exhaled air volume and the preset time, wherein the calculation formula is:

[0107] ;

[0108] in, represents the average tidal volume value. Indicates the total amount of air inhaled, represents the total exhaled air volume, Indicates the preset time;

[0109] S33, obtaining a weight factor of the respiratory rate;

[0110] S34, calculating the mean ventilation volume according to the respiratory frequency, the mean tidal volume value and the weight factor of the respiratory frequency, wherein the calculation formula is:

[0111] ;

[0112] in, represents the mean ventilation volume, Respiratory rate, represents the average tidal volume value. Represents the weighting factor for the respiratory rate.

[0113] As described in the above steps S41-S43, the present invention obtains the total inhaled air volume and the total exhaled air volume within a preset time through tidal volume characteristic information, and calculates the average tidal volume value according to the total inhaled air volume, the total exhaled air volume and the preset time. In this way, by obtaining the total inhaled air volume and the total exhaled air volume within the preset time, the patient's ventilation needs can be accurately evaluated, and the above data can be analyzed to determine the patient's ventilation status and breathing pattern, so as to adjust the ventilation gear and parameters of the ventilator in a targeted manner to maximize the support of the patient's respiratory function. Calculating the average tidal volume value can help optimize the tidal volume setting of the ventilator. Tidal volume is one of the key parameters in the ventilator setting, which directly affects the effectiveness of gas exchange and alveolar inflation. Dynamic adjustment based on real-time monitored tidal volume data can ensure that the ventilation volume is within a safe range while meeting the patient's personalized ventilation needs. Based on the calculation of the average tidal volume value, personalized ventilation management can be achieved, and dynamic adjustment of the ventilation gear can Provide the most appropriate ventilation support for each patient based on real-time monitoring data, obtain the weight factor of respiratory rate, and calculate the average ventilation per minute based on respiratory rate, average tidal volume per minute and the weight factor of respiratory rate. Calculate the average ventilation per minute by combining the respiratory rate and average tidal volume per minute, while taking the weight factor of respiratory rate into consideration. This comprehensive evaluation can more comprehensively reflect the patient's ventilation status and lung function, and help the intelligent system to more accurately adjust the ventilation gear of the ventilator. Based on the calculation results of the average ventilation per minute, the ventilation parameters of the ventilator can be dynamically adjusted. Adjusting the ventilation strategy can better meet the patient's actual ventilation needs to improve the ventilation effect. Adjust the ventilation gear based on the real-time monitoring data to ensure that the ventilation parameters match the patient's physiological breathing needs to achieve the purpose of intelligent dynamic adjustment. By accurately calculating and adjusting the average ventilation per minute, the gas exchange efficiency can be optimized, the effects of oxygenation and carbon dioxide discharge can be improved, and the discomfort that patients may face during mechanical ventilation can be reduced.

[0114] In one embodiment, the step S4 of obtaining the average positive end-expiratory pressure according to the respiratory pressure characteristics includes:

[0115] S41, acquiring a plurality of breathing cycles according to the breathing pressure characteristics;

[0116] S42, acquiring a plurality of pressure values ​​at the end of breathing according to each of the breathing cycles;

[0117] S43, sorting the plurality of pressure values ​​according to their magnitude, and selecting the first-ranked pressure value as the positive end-expiratory pressure value;

[0118] S44, calculating an average positive end-expiratory pressure according to the plurality of positive end-expiratory pressure values, wherein the calculation formula is:

[0119] ;

[0120] in, stands for mean positive end-expiratory pressure, Indicates PEEP value, Amount indicating positive end-expiratory pressure.

[0121] As described in the above steps S41-S44, the present invention obtains multiple respiratory cycles according to the respiratory pressure characteristics, obtains multiple pressure values ​​at the end of the respiratory period according to each respiratory cycle, sorts the multiple pressure values ​​according to size, selects the pressure value ranked first as the positive end-expiratory pressure value, and then calculates the average positive end-expiratory pressure according to the multiple positive end-expiratory pressure values. Since the average positive end-expiratory pressure is a key parameter for maintaining the stability of the alveoli and avoiding alveolar collapse, by obtaining the end-expiratory pressure values ​​in multiple respiratory cycles and calculating the average positive end-expiratory pressure, it can be ensured that the alveoli maintain a certain residual gas volume at the end of each respiratory cycle, thereby improving oxygenation and ventilation effects. The respiratory mechanics characteristics of different patients may be different, so dynamically adjusting the average positive end-expiratory pressure can provide the most suitable ventilation support for each patient according to the real-time monitored respiratory pressure data, optimize ventilation management and reduce the risk of lung injury. Automatically obtaining and calculating the average positive end-expiratory pressure reduces the need for medical staff to manually adjust ventilation parameters. The system can quickly and accurately adjust the ventilation gear under real-time monitoring, thereby improving work efficiency.

[0122] In one embodiment, the step S5 of calculating the oxygenation index according to the respiratory rhythm characteristics and the average positive end-expiratory pressure includes:

[0123] S51, acquiring a plurality of respiratory cycles according to the respiratory rhythm characteristics;

[0124] S52, obtaining the respiratory tidal volume and total oxygen uptake in each respiratory cycle;

[0125] S53, calculating the inspired oxygen concentration value according to the plurality of respiratory tidal volumes and the total oxygen uptake, wherein the calculation formula is:

[0126] ;

[0127] in, Indicates the inspired oxygen concentration value. Indicates Total oxygen uptake, Indicates The tidal volume of the breath, Indicates the amount of tidal volume breathed;

[0128] S54, obtaining arterial blood carbon dioxide partial pressure and oxygen consumption ratio values ​​according to the respiratory rhythm characteristics;

[0129] S55, calculating the arterial blood oxygen partial pressure according to the inhaled oxygen concentration value, the arterial blood carbon dioxide partial pressure and the oxygen consumption ratio value, wherein the calculation formula is:

[0130] ;

[0131] in, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value. represents the partial pressure of carbon dioxide in arterial blood, Indicates the oxygen consumption ratio value;

[0132] S56, obtaining the average positive end-expiratory pressure;

[0133] S57, calculating the oxygenation index according to the inspired oxygen concentration, the mean positive end expiratory pressure and the arterial oxygen partial pressure, wherein the calculation formula is:

[0134] ;

[0135] in, represents the oxygenation index, stands for mean positive end-expiratory pressure, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value.

[0136] As described in the above steps S51-S57, the present invention obtains multiple respiratory cycles through respiratory rhythm characteristics, and obtains the respiratory tidal volume and total oxygen uptake in each respiratory cycle, and then calculates the inspired oxygen concentration value based on the multiple respiratory tidal volumes and total oxygen uptake. The inspired oxygen concentration value is calculated based on the respiratory tidal volume and total oxygen uptake in multiple respiratory cycles, wherein the inspired oxygen concentration value refers to the percentage of oxygen in the inhaled gas when the patient receives oxygen therapy or ventilator ventilation, which can more accurately evaluate the patient's oxygen demand and oxygen uptake effect, and can adjust the oxygen concentration according to the real-time monitoring data to ensure that the patient is always in an appropriate oxygenation state during ventilation. By dynamically adjusting the inhaled oxygen concentration, the oxygen therapy effect can be optimized according to the patient's actual oxygen demand and oxygenation status. The automatic calculation of the inhaled oxygen concentration value reduces the need for medical staff to manually adjust oxygen therapy parameters, thereby reducing operational errors and improving treatment consistency. The arterial carbon dioxide partial pressure and oxygen consumption ratio values ​​are obtained through respiratory rhythm characteristics, and the arterial oxygen partial pressure is calculated based on the inhaled oxygen concentration value, arterial carbon dioxide partial pressure and oxygen consumption ratio value. Among them, arterial carbon dioxide partial pressure refers to the partial pressure of carbon dioxide in the blood, and the oxygen consumption ratio value refers to the ratio of arterial oxygen consumption rate to oxygen delivery. Arterial oxygen partial pressure is It refers to the partial pressure of oxygen dissolved in plasma in arterial blood. Since arterial oxygen partial pressure is a key indicator for evaluating the patient's oxygenation status, calculating arterial oxygen partial pressure based on real-time monitored respiratory rhythm characteristics and inspired oxygen concentration values ​​can more accurately evaluate the patient's oxygenation status, thereby adjusting the ventilation gear and parameters to achieve the best oxygenation effect. According to the dynamically acquired data, the inspired oxygen concentration and ventilation parameters are adjusted in a personalized manner to ensure that the patient is in a safe and effective oxygenation state. The oxygenation index is calculated based on the inspired oxygen concentration, mean positive end-expiratory pressure and arterial oxygen partial pressure by obtaining the mean positive end-expiratory pressure. Since the oxygenation index takes the mean expiratory The three key factors of positive end-expiratory pressure, inspired oxygen concentration and arterial oxygen partial pressure can more comprehensively evaluate the patient's oxygenation status through intelligent calculation of the oxygenation index, thereby adjusting the ventilation gear and oxygen therapy parameters to achieve the best oxygenation effect. The oxygenation index is dynamically calculated based on real-time monitoring data, and can provide personalized oxygen therapy management strategies. The ventilation gear and oxygenation index can be intelligently and dynamically adjusted through automated calculation and adjustment, which reduces the need for manual intervention and the possibility of operational errors. The oxygenation status can be optimized by calculating the oxygenation index and intelligently and dynamically adjusting the ventilation gear based on the mean positive end-expiratory pressure, inspired oxygen concentration and arterial oxygen partial pressure.

[0137] In one embodiment, the step S6 of calculating the ventilation response adjustment parameter according to the oxygenation index and the mean ventilation volume, and adjusting the ventilation gear of the ventilator according to the ventilation response adjustment parameter includes:

[0138] S61, obtaining an oxygenation index and a minute-average ventilation volume, and calculating a ventilation response adjustment parameter according to the oxygenation index and the minute-average ventilation volume, wherein the calculation formula is:

[0139] ;

[0140] in, represents the ventilation response regulation parameter, represents the oxygenation index, represents the mean ventilation volume;

[0141] S62, comparing the ventilation response adjustment parameter with a preset ventilation adjustment parameter-gear table to obtain a ventilation gear level;

[0142] S63, adjusting the ventilation gear of the ventilator according to the ventilation gear level, and obtaining multiple real-time arterial blood oxygen partial pressures of the user within a preset time period;

[0143] S64, drawing an arterial oxygen partial pressure curve according to the multiple real-time arterial oxygen partial pressures, and acquiring a curvature according to the arterial oxygen partial pressure curve;

[0144] S65, determining whether the curvature is within a preset range;

[0145] If the curvature is greater than the upper limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too high, and the ventilator ventilation gear is lowered until the curvature is reduced to within the preset interval;

[0146] If the curvature is within the preset value range, it is determined that the user's real-time arterial oxygen partial pressure is normal, and the current ventilation gear of the ventilator is maintained;

[0147] If the curvature is less than the lower limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too low, and the ventilation gear of the ventilator is increased until the curvature increases to within the preset interval.

[0148] As described in the above steps S61-S65, in the present invention, the oxygenation index and the average ventilation volume per minute are obtained, and the ventilation response adjustment parameters are calculated according to the oxygenation index and the average ventilation volume per minute. The ventilation response adjustment parameters are compared with the preset ventilation adjustment parameter-gear table to obtain the ventilation gear level, and then the ventilation gear of the ventilator is adjusted according to the ventilation gear level. Since the ventilation response adjustment parameters are indicators calculated based on the oxygenation index and the average ventilation volume per minute, they can reflect the patient's current ventilation state and needs. By dynamically calculating and adjusting these parameters through the intelligent system, personalized ventilation support can be provided to ensure that the patient receives the most appropriate ventilation management. The preset ventilation adjustment parameter-gear table provides setting reference values ​​under different ventilation gears. By comparing the ventilation response adjustment parameters monitored in real time with the table, the most suitable ventilation gear level can be quickly determined. Such dynamic adjustment can ensure the accuracy and effectiveness of the ventilation parameters, thereby optimizing the ventilation effect. For example, when the oxygenation index is 8 and the average ventilation volume per minute is 7, the ventilation response adjustment parameter calculated according to the formula is , and then according to Figure 4It can be seen that, since 56 is within the range of 31-60, the ventilation gear level is the second gear at this time, and the ventilation gear of the ventilator can be adjusted according to the second gear. By quickly responding to the patient's respiratory changes, the ventilation gear is automatically calculated and adjusted, reducing the need for manual intervention. This timely adjustment helps to avoid problems such as insufficient ventilation or excessive ventilation, ensuring that the patient can maintain a stable ventilation state. The ventilation gear of the ventilator is adjusted through the ventilation gear level and multiple real-time arterial oxygen partial pressures of the user within a preset time are obtained, and the arterial oxygen partial pressure curve is drawn according to the multiple real-time arterial oxygen partial pressures, thereby obtaining the arterial oxygen partial pressure curve. The curvature of the line is specifically obtained by marking the arterial oxygen partial pressure corresponding to each time point on the plane axis of time-arterial oxygen partial pressure, with time as the X-axis and arterial oxygen partial pressure as the Y-axis, and then connecting multiple arterial oxygen partial pressure marking points in sequence through a curve to obtain an arterial oxygen partial pressure curve. The ventilation gear of the ventilator is dynamically adjusted by judging whether the curvature is within a preset interval. Specifically, if the curvature is greater than the upper limit of the preset value interval until the curvature decreases to the preset interval, it is determined that the user's real-time arterial oxygen partial pressure is too high at this time, and the ventilation gear of the ventilator is lowered. If the curvature is greater than the upper limit of the preset value interval until the curvature is reduced to the preset interval, it is determined that the user's real-time arterial oxygen partial pressure is too high at this time, and the ventilation gear of the ventilator is lowered. If the curvature is less than the lower limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too low, and the ventilator ventilation gear is adjusted upward until the curvature rises to the preset interval. If the curvature is within the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is normal. For example, the preset interval is 1-2. If the curvature is 3 at this time, since 3 is greater than 2, it is determined that the curvature is greater than the upper limit of the preset value interval. At this time, the ventilator ventilation gear is lowered, and the curvature of the arterial oxygen partial pressure curve is detected in real time until it is within the preset interval. Similarly, if the curvature is 0.5 at this time, since 0.5 is less than 1, it is determined that the curvature is less than the preset value. The lower limit of the interval is reached. At this time, the ventilation gear of the ventilator is adjusted upward, and the curvature of the arterial oxygen partial pressure curve is detected in real time until it is within the preset interval. By dynamically adjusting the ventilation gear level of the ventilator and judging and adjusting based on the curvature of the real-time arterial oxygen partial pressure curve, the ventilation gear can be dynamically adjusted according to the patient's real-time physiological state and needs to achieve more personalized ventilation support. Different patients may need different ventilation parameters at different time points. This dynamic adjustment can better meet the needs of patients. By real-time monitoring and analysis of the curvature of the arterial oxygen partial pressure curve, the ventilator can quickly make adjustments and responses. This real-time feedback mechanism can effectively prevent and deal with fluctuations in the patient's oxygenation status. Based on the judgment of the curvature of the arterial oxygen partial pressure curve, the ventilation strategy can be automatically optimized to avoid the influence of human subjective factors, which helps to improve the accuracy of ventilation parameters. The automated dynamic adjustment system reduces the workload of medical staff to monitor and adjust ventilation parameters for a long time, and can achieve more intelligent and precise management.

[0149] like Figure 2 As shown, the present application also provides a ventilator parameter intelligent dynamic adjustment system, including:

[0150] A first acquisition module is used to acquire physiological characteristic information and respiratory pattern characteristic information of the user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information;

[0151] A second acquisition module is used to acquire a respiratory flow rate waveform according to the respiratory flow rate characteristic information, and acquire a respiratory frequency according to the respiratory flow rate waveform;

[0152] A first calculation module, used for calculating the mean ventilation volume according to the respiratory frequency and tidal volume characteristic information;

[0153] A third acquisition module is used to acquire a respiratory rhythm feature and a respiratory pressure feature according to the respiratory pattern feature information, and to acquire an average positive end-expiratory pressure according to the respiratory pressure feature;

[0154] A second calculation module is used to calculate the oxygenation index according to the respiratory rhythm characteristics and the average positive end-expiratory pressure;

[0155] The regulating module is used to calculate the ventilation response regulating parameter according to the oxygenation index and the mean ventilation volume, and to regulate the ventilation gear of the ventilator according to the ventilation response regulating parameter.

[0156] In one embodiment, the second acquisition module includes:

[0157] A first acquisition unit, configured to acquire a plurality of peak values ​​and trough values ​​according to the respiratory flow rate waveform;

[0158] A first marking unit, used for marking a point corresponding to each peak value as an exhalation point, and obtaining a time point corresponding to each exhalation point as a first time point;

[0159] A second marking unit is used to record the time point corresponding to the first exhalation point as the initial time point;

[0160] A third marking unit is used to mark the point corresponding to each trough value as an inhalation point, and obtain the time point corresponding to each exhalation point as a second time point;

[0161] A fourth marking unit, used to record the time point corresponding to the last inhalation point as the end time point;

[0162] A calculation unit is used to calculate the respiratory rate according to the first time points and the second time points, wherein the calculation formula is:

[0163] ;

[0164] in, Respiratory rate, Indicates The first time point, Indicates A second time point, represents the number of the first time point, Indicates the end time point, Indicates the initial time point.

[0165] like Figure 3 As shown, the present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for intelligent dynamic adjustment of ventilator parameters when executing the computer program.

[0166] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for intelligent dynamic adjustment of ventilator parameters are implemented.

[0167] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0168] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0169] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for intelligent dynamic adjustment of ventilator parameters, characterized in that: include: Acquiring physiological characteristic information and respiratory pattern characteristic information of the user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information; Acquire a respiratory flow rate waveform according to the respiratory flow rate characteristic information, and acquire a plurality of peak values ​​and trough values ​​according to the respiratory flow rate waveform; Mark the point corresponding to each peak value as an exhalation point, and obtain the time point corresponding to each exhalation point as the first time point; The time point corresponding to the first exhalation point is recorded as the initial time point; Mark the point corresponding to each trough value as an inhalation point, and obtain the time point corresponding to each exhalation point as a second time point; The time point corresponding to the last inhalation point is recorded as the end time point; The respiratory rate is calculated according to the first and second time points, wherein the calculation formula is: ； in, Respiratory rate, Indicates The first point in time, Indicates A second time point, represents the number of the first time point, Indicates the end time point, represents the initial time point; Acquire the total inhaled air volume and the total exhaled air volume within a preset time according to the tidal volume characteristic information; The average tidal volume is calculated according to the total inhaled air volume, the total exhaled air volume and the preset time, wherein the calculation formula is: ； in, represents the average tidal volume value. Indicates the total amount of air inhaled, represents the total exhaled air volume, Indicates the preset time; Get the weight factor of respiratory rate; The mean ventilation is calculated according to the respiratory frequency, the mean tidal volume value and the weight factor of the respiratory frequency, wherein the calculation formula is: ； in, represents the mean ventilation volume, Respiratory rate, represents the average tidal volume value. represents the weighting factor of the respiratory rate; Acquire a respiratory rhythm feature and a respiratory pressure feature according to the respiratory pattern feature information, and acquire an average positive end-expiratory pressure according to the respiratory pressure feature; Acquire multiple respiratory cycles according to the respiratory rhythm characteristics; Obtain the respiratory tidal volume and total oxygen uptake in each respiratory cycle; The inhaled oxygen concentration value is calculated according to the multiple respiratory tidal volumes and the total oxygen uptake, wherein the calculation formula is: ； in, Indicates the inspired oxygen concentration value. Indicates Total oxygen uptake, Indicates The tidal volume of the breath, Indicates the amount of tidal volume breathed; Acquire arterial blood carbon dioxide partial pressure and oxygen consumption ratio values ​​according to the respiratory rhythm characteristics; The arterial blood oxygen partial pressure is calculated according to the inhaled oxygen concentration value, the arterial blood carbon dioxide partial pressure and the oxygen consumption ratio value, wherein the calculation formula is: ； in, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value. represents the partial pressure of carbon dioxide in arterial blood, Indicates the oxygen consumption ratio value; Get the mean positive end-expiratory pressure; The oxygenation index is calculated according to the inspired oxygen concentration, the mean positive end-expiratory pressure and the arterial oxygen partial pressure, wherein the calculation formula is: ； in, represents the oxygenation index, stands for mean positive end-expiratory pressure, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value; Obtain the oxygenation index and the mean ventilation volume per minute, and calculate the ventilation response adjustment parameter according to the oxygenation index and the mean ventilation volume per minute, wherein the calculation formula is: ； in, represents the ventilation response regulation parameter, represents the oxygenation index, represents the mean ventilation volume; Comparing the ventilation response adjustment parameter with a preset ventilation adjustment parameter-gear table to obtain a ventilation gear level; The ventilation gear of the ventilator is adjusted according to the ventilation gear level, and multiple real-time arterial blood oxygen partial pressures of the user within a preset time period are obtained; Draw an arterial oxygen partial pressure curve according to a plurality of real-time arterial oxygen partial pressures, and obtain a curvature according to the arterial oxygen partial pressure curve; Determining whether the curvature is within a preset range; If the curvature is greater than the upper limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too high, and the ventilator ventilation gear is lowered until the curvature is reduced to within the preset interval; If the curvature is within the preset value range, it is determined that the user's real-time arterial oxygen partial pressure is normal, and the current ventilation gear of the ventilator is maintained; If the curvature is less than the lower limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too low, and the ventilation gear of the ventilator is increased until the curvature increases to within the preset interval.

2. The method for intelligent dynamic adjustment of ventilator parameters according to claim 1, characterized in that: The step of obtaining the average positive end-expiratory pressure according to the respiratory pressure characteristics comprises: Acquire a plurality of breathing cycles according to the breathing pressure characteristics; Acquire multiple pressure values ​​at the end of breathing according to each of the breathing cycles; Sort the multiple pressure values ​​by size, and select the first-ranked pressure value as the positive end-expiratory pressure value; The average positive end-expiratory pressure is calculated according to the multiple positive end-expiratory pressure values, wherein the calculation formula is: ； in, stands for mean positive end-expiratory pressure, Indicates PEEP value, Amount indicating positive end-expiratory pressure.

3. A ventilator parameter intelligent dynamic adjustment system, characterized in that: include: A first acquisition module is used to acquire physiological characteristic information and respiratory pattern characteristic information of the user, wherein the physiological characteristic information includes tidal volume characteristic information and respiratory flow rate characteristic information; A second acquisition module is used to acquire a respiratory flow rate waveform according to the respiratory flow rate characteristic information, and acquire a plurality of peak values ​​and trough values ​​according to the respiratory flow rate waveform; Mark the point corresponding to each peak value as an exhalation point, and obtain the time point corresponding to each exhalation point as the first time point; The time point corresponding to the first exhalation point is recorded as the initial time point; Mark the point corresponding to each trough value as an inhalation point, and obtain the time point corresponding to each exhalation point as a second time point; The time point corresponding to the last inhalation point is recorded as the end time point; The respiratory rate is calculated according to the first and second time points, wherein the calculation formula is: ； in, Respiratory rate, Indicates The first point in time, Indicates A second time point, represents the number of the first time point, Indicates the end time point, represents the initial time point; A first calculation module, used for obtaining a total inhaled air volume and a total exhaled air volume within a preset time according to the tidal volume characteristic information; The average tidal volume is calculated according to the total inhaled air volume, the total exhaled air volume and the preset time, wherein the calculation formula is: ； in, represents the average tidal volume value. Indicates the total amount of air inhaled, represents the total exhaled air volume, Indicates the preset time; Get the weight factor of respiratory rate; The mean ventilation is calculated according to the respiratory frequency, the mean tidal volume value and the weight factor of the respiratory frequency, wherein the calculation formula is: ； in, represents the mean ventilation volume, Respiratory rate, represents the average tidal volume value. represents the weighting factor of the respiratory rate; A third acquisition module is used to acquire a respiratory rhythm feature and a respiratory pressure feature according to the respiratory pattern feature information, and to acquire an average positive end-expiratory pressure according to the respiratory pressure feature; A second calculation module is used to obtain a plurality of respiratory cycles according to the respiratory rhythm characteristics; Obtain the respiratory tidal volume and total oxygen uptake in each respiratory cycle; The inhaled oxygen concentration value is calculated according to the multiple respiratory tidal volumes and the total oxygen uptake, wherein the calculation formula is: ； in, Indicates the inspired oxygen concentration value. Indicates Total oxygen uptake, Indicates The tidal volume of the breath, Indicates the amount of tidal volume breathed; Acquire arterial blood carbon dioxide partial pressure and oxygen consumption ratio values ​​according to the respiratory rhythm characteristics; The arterial blood oxygen partial pressure is calculated according to the inhaled oxygen concentration value, the arterial blood carbon dioxide partial pressure and the oxygen consumption ratio value, wherein the calculation formula is: ； in, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value. represents the partial pressure of carbon dioxide in arterial blood, Indicates the oxygen consumption ratio value; Get the mean positive end-expiratory pressure; The oxygenation index is calculated according to the inspired oxygen concentration, the mean positive end-expiratory pressure and the arterial oxygen partial pressure, wherein the calculation formula is: ； in, represents the oxygenation index, stands for mean positive end-expiratory pressure, represents the partial pressure of oxygen in arterial blood, Indicates the inspired oxygen concentration value; The adjustment module is used to obtain the oxygenation index and the average ventilation volume per minute, and calculate the ventilation response adjustment parameter according to the oxygenation index and the average ventilation volume per minute, wherein the calculation formula is: ； in, represents the ventilation response regulation parameter, represents the oxygenation index, represents the mean ventilation volume; Comparing the ventilation response adjustment parameter with a preset ventilation adjustment parameter-gear table to obtain a ventilation gear level; The ventilation gear of the ventilator is adjusted according to the ventilation gear level, and multiple real-time arterial blood oxygen partial pressures of the user within a preset time period are obtained; Draw an arterial oxygen partial pressure curve according to a plurality of real-time arterial oxygen partial pressures, and obtain a curvature according to the arterial oxygen partial pressure curve; Determining whether the curvature is within a preset range; If the curvature is greater than the upper limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too high, and the ventilator ventilation gear is lowered until the curvature is reduced to within the preset interval; If the curvature is within the preset value range, it is determined that the user's real-time arterial oxygen partial pressure is normal, and the current ventilation gear of the ventilator is maintained; If the curvature is less than the lower limit of the preset value interval, it is determined that the user's real-time arterial oxygen partial pressure is too low, and the ventilation gear of the ventilator is increased until the curvature increases to within the preset interval.

4. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 2 are implemented.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

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