Respirator mask detachment detection method, device and respirator

Abstract

The present application provides a ventilator mask detachment detection method, device and ventilator, the method comprising: in a calibration mode, obtaining and recording test mask pressure values ​​corresponding to different test ventilation flow rates when the ventilator is in a mask detachment state, and calculating fitting curve parameters of the test ventilation flow rate and the test mask pressure value; in a use mode, obtaining the measured ventilation flow rate and the measured mask pressure value of the ventilator within a target time; according to the measured ventilation flow rate and the fitting curve parameters, calculating a reference mask pressure value corresponding to the measured ventilation flow rate; and judging whether the mask of the ventilator is detached according to the measured mask pressure value and the reference mask pressure value. In this way, a more accurate mask detachment detection can be performed for different types of masks or different ways of connecting the mask to the ventilation line, thereby reducing the risk of clinical use of the ventilator.

Description

Technical Field

[0001] The present application relates to the technical field of medical equipment, and in particular to a method and device for detecting ventilator mask detachment, and a ventilator. Background Art

[0002] A ventilator is a medical device that uses an electrically controlled mechanical structure to assist or replace a patient's breathing. A ventilator can be connected to a mask via a ventilation tube. The ventilator controls the ventilation pressure to assist the patient's breathing movements. Ensuring that the patient's mask is worn effectively is an important prerequisite for the ventilator to achieve its function. In order to promptly detect whether the mask has fallen off, some ventilators use a solution that compares the ventilation flow rate and mask pressure with a set threshold curve to determine the mask's detachment status. However, in the actual use of ventilators, the masks connected to the ventilator may be diverse. Different masks have significant differences in shape, size, air leakage holes, and the way they are connected to the patient's pressure gauge tube. A single threshold value cannot adapt to all situations, and false alarms and missed alarms of mask detachment are prone to occur, which in severe cases may threaten the patient's life. Summary of the Invention

[0003] In order to overcome the above-mentioned deficiencies in the prior art, the purpose of this application is to provide a method for detecting the detachment of a ventilator mask, the method comprising:

[0004] In the calibration mode, the test mask pressure values ​​corresponding to different test ventilation flow rate values ​​are obtained and recorded when the ventilator is in the mask-off state, and the fitting curve parameters of the test ventilation flow rate value and the test mask pressure value are calculated;

[0005] In the use mode, obtaining the measured ventilation flow rate value and the measured mask pressure value of the ventilator within the target time;

[0006] Calculating a reference mask pressure value corresponding to the measured ventilation flow rate value according to the measured ventilation flow rate value and the fitting curve parameters;

[0007] Determine whether the mask of the ventilator has fallen off based on the measured mask pressure value and the reference mask pressure value.

[0008] In one possible implementation, the step of determining whether the mask of the ventilator is detached based on the measured mask pressure value and the reference mask pressure value includes:

[0009] detecting whether the measured mask pressure value within the target duration is less than or equal to the reference mask pressure value;

[0010] If so, detecting whether the maximum fluctuation value of the measured ventilation flow rate within the target duration is less than or equal to a preset fluctuation threshold;

[0011] If so, it is determined that the mask of the ventilator has fallen off.

[0012] In a possible implementation, the step of detecting whether the measured mask pressure value within the target duration is less than or equal to the reference mask pressure value includes:

[0013] Detect whether the measured mask pressure values ​​corresponding to the multiple measured ventilation flow rate values ​​collected within the target time period are all smaller than the corresponding reference mask pressure values.

[0014] In a possible implementation, the step of detecting whether a maximum fluctuation value of the measured ventilation flow rate within the target duration is less than or equal to a preset fluctuation threshold includes:

[0015] The difference between the maximum value and the minimum value of the plurality of measured ventilation flow rate values ​​within the target duration is calculated as the maximum fluctuation value, and it is detected whether the maximum fluctuation value is less than or equal to a preset fluctuation threshold.

[0016] In one possible implementation, the step of calculating the fitting curve parameters of the test ventilation flow rate value and the test mask pressure value includes:

[0017] Based on the following formula, the first fitting curve parameter and the second fitting parameter are calculated according to the test mask pressure values ​​corresponding to the multiple different test ventilation flow rate values:

[0018] press=a*flow b

[0019] Wherein, press is the test ventilation flow rate value, flow is the test mask pressure value, a is the first fitting parameter, and b is the second fitting parameter.

[0020] In one possible implementation, the step of calculating a reference mask pressure value corresponding to the measured ventilation flow rate value based on the measured ventilation flow rate value and the fitting curve parameters includes:

[0021] Calculating a reference mask pressure value corresponding to the measured ventilation flow rate value according to the fitting curve parameters;

[0022] A preset floating adjustment value is added to the reference mask pressure value to obtain the adjusted reference mask pressure value.

[0023] In one possible implementation, the step of obtaining the measured ventilation flow rate value and the measured mask pressure value of the ventilator within the target duration includes:

[0024] Continuously obtain the measured ventilation flow rate value and the measured mask pressure value of the ventilator, and perform low-pass filtering on the measured ventilation flow rate value and the measured mask pressure value based on the data obtained within the target time length.

[0025] Another object of the present application is to provide a ventilator mask detachment detection device, the ventilator mask detachment detection device comprising:

[0026] A parameter correction module is used to obtain and record the test mask pressure values ​​corresponding to different test ventilation flow rate values ​​when the ventilator is in the mask-off state in the correction mode, and calculate the fitting curve parameters of the test ventilation flow rate value and the test mask pressure value;

[0027] A data acquisition module is used to obtain the actual ventilation flow rate value and the actual mask pressure value of the ventilator within the target time period in the use mode;

[0028] A reference calculation module is used to calculate a reference mask pressure value corresponding to the measured ventilation flow rate value based on the measured ventilation flow rate value and the fitting curve parameters.

[0029] The mask falling-off determination module is used to determine whether the mask of the ventilator has fallen off according to the measured mask pressure value and the reference mask pressure value.

[0030] Another object of the present application is to provide a ventilator, which includes a control component, the control component includes a processor and a machine-readable storage medium, the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are executed by the processor, implement the ventilator mask detachment detection method provided in the present application.

[0031] Another object of the present application is to provide a machine-readable storage medium, which stores machine-executable instructions. When the machine-executable instructions are executed by one or more processors, they implement the ventilator mask detachment detection method provided in the present application.

[0032] Compared with the prior art, this application has the following beneficial effects:

[0033] The embodiments of the present application provide a ventilator mask detachment detection method, device, and electronic device. By obtaining the fitting curve parameters of the test ventilation flow rate and test mask pressure value of the ventilator in the mask detachment state in a calibration mode, the measured mask pressure value is then compared with the corresponding reference mask pressure value calculated based on the measured ventilation flow rate and the fitting curve parameters during the test process to determine whether the mask has detached. In this way, more accurate mask detachment detection can be performed for different types of masks or different mask-to-ventilation tube connection methods, reducing the risk of clinical use of ventilators. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 A schematic diagram of components of a ventilator provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of the steps of the method for detecting ventilator mask detachment provided in an embodiment of the present application;

[0037] Figure 3 A schematic diagram of a fitting curve provided in an embodiment of the present application;

[0038] Figure 4 A schematic diagram of a control component provided in an embodiment of the present application;

[0039] Figure 5 Schematic diagram of the functional modules of the ventilator mask detachment detection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Generally, the components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0041] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the present application without making any creative efforts shall fall within the scope of protection of the present application.

[0042] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0043] In the description of this application, it should be noted that the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0044] It should also be noted that, in the description of this application, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0045] See Figure 1 , Figure 1 This is a schematic diagram of the components of a ventilator provided in this embodiment. The ventilator may include a ventilator body and a mask. The mask may be connected to the ventilator body through a ventilation line.

[0046] The mask may be provided with a pressure sensor 300, and the pressure sensor 300 is used to detect the gas pressure at one end of the mask when the ventilator is working. The ventilator body may be provided with a flow rate sensor 200 and a control component 100, and the flow rate sensor 200 is used to detect the ventilation flow rate generated by the ventilator during ventilation. The pressure sensor 300 and the flow rate sensor 200 may be electrically connected to the control component 100 respectively, and the control component 100 may determine whether the mask has fallen off based on the data collected by the pressure sensor 300 and the flow rate sensor 200 using the ventilator mask falling off detection method provided in this embodiment.

[0047] It should be noted that, in this embodiment, Figure 1 In addition to the components shown, the ventilator may also include other components for generating gas, purifying gas, adjusting humidity, adjusting temperature, regulating air pressure, etc., which are not specifically limited in this embodiment.

[0048] See Figure 2 , Figure 2 This embodiment provides an application for Figure 1 The ventilator mask detachment detection method of the ventilator shown is described in detail below. Each step of the method is described in detail.

[0049] Step S110, in the calibration mode, obtain and record the test mask pressure values ​​corresponding to different test ventilation flow rates when the ventilator is in the mask-off state, and calculate the fitting curve parameters of the test ventilation flow rate values ​​and the test mask pressure values.

[0050] Taking into account that when the ventilator operates at the same ventilation flow rate, the pressure values ​​at the mask end of masks of different types or models in the detached state may be different. Therefore, in this embodiment, the relationship between the ventilation flow rate value and the mask pressure value of the currently used mask in the detached state is first determined in the calibration mode to facilitate accurate judgment during subsequent actual use.

[0051] The mask-off state is a state in which the mask is not effectively worn on the patient's mouth and nose. In the calibration mode, the test ventilation flow rate value can be Figure 1 The flow rate sensor 200 shown in the figure can detect and obtain the test mask pressure value. Figure 1 The pressure sensor 300 shown in FIG. 1 is used to detect and obtain the pressure. The control component 100 can obtain and record the test mask pressure values ​​corresponding to a plurality of different test ventilation flow rate values, and determine the fitting curve parameters of the test ventilation flow rate and the test mask pressure values ​​through fitting calculation. The fitting curve parameters can be used to calculate the pressure value at the mask end when the mask falls off at different ventilation flow rate values.

[0052] Step S120 , in the use mode, obtaining the actual ventilation flow rate value and the actual mask pressure value of the ventilator within the target time period.

[0053] In this embodiment, when the ventilator is actually needed to provide respiratory assistance to the patient, the ventilator can be switched to the use mode. In the use mode, the control component 100 can continuously obtain the measured ventilation flow rate value through the flow rate sensor 200 and obtain the measured mask pressure value at the mask end through the pressure sensor 300.

[0054] When performing real-time mask-off detection on the ventilator, the measured ventilation flow rate and the measured mask pressure values ​​obtained within a preset time period before the current moment can be used as the measured ventilation flow rate and the measured mask pressure values ​​of the ventilator within the target time period. For example, 5 seconds before the current moment can be used as the target time period.

[0055] Step S130: Calculate a reference mask pressure value corresponding to the measured ventilation flow rate value based on the measured ventilation flow rate value and the fitting curve parameters.

[0056] In this embodiment, with respect to the obtained measured ventilation flow rate value, a reference mask pressure value that should correspond to the measured ventilation flow rate value if the mask is in the off state can be calculated according to the fitting curve parameters.

[0057] Step S140: determining whether the mask of the ventilator is detached based on the measured mask pressure value and the reference mask pressure value.

[0058] Under the same ventilation flow rate, the pressure at the mask section should be relatively high when the mask is effectively worn, while the pressure at the mask end should be relatively low when the mask is detached. In this embodiment, since the reference mask pressure value can represent the pressure value that the measured ventilation flow rate value should correspond to when the mask is detached, comparing the measured mask pressure value with the reference mask pressure value can determine whether the mask has detached.

[0059] Based on the above design, by obtaining the fitting curve parameters of the test ventilation flow rate and test mask pressure of the ventilator in the mask-off state in calibration mode, and then comparing the measured mask pressure value with the corresponding reference mask pressure value calculated based on the measured ventilation flow rate and the fitting curve parameters during the test, the mask is judged to be off. In this way, it is possible to perform more accurate mask-off detection for different types of masks or different mask-to-ventilation tube connection methods, reducing the risks of clinical use of ventilators.

[0060] In a possible implementation, in step S140 , it may be first detected whether the actually measured mask pressure value within the target duration is less than or equal to the reference mask pressure value.

[0061] Specifically, in this embodiment, it is possible to detect whether the measured mask pressure values ​​corresponding to the multiple measured ventilation flow rate values ​​collected within the target duration are all less than the corresponding reference mask pressure values. If so, it is then determined whether the measured mask pressure values ​​within the target duration are less than or equal to the reference mask pressure values. This can reduce the impact of minor data collection errors or data noise on subsequent determinations.

[0062] If the measured mask pressure value within the target time is less than or equal to the reference mask pressure value, it means that the mask may have a large amount of air leakage or fall off. In order to further confirm whether the mask has fallen off, it is possible to further detect whether the maximum fluctuation value of the measured ventilation flow rate within the target time is less than or equal to the preset fluctuation threshold.

[0063] Specifically, the difference between the maximum and minimum values ​​of the plurality of measured ventilation flow rate values ​​within the target duration may be calculated as the maximum fluctuation value, and the maximum fluctuation value may be detected to determine whether it is less than or equal to a preset fluctuation threshold. In one example, the preset fluctuation threshold may be 10 L / min.

[0064] Since the mask will suddenly lose pressure when it falls off, the ventilation flow rate of the ventilator will no longer change significantly with the patient's breathing. Therefore, in this embodiment, if the maximum fluctuation value of the measured ventilation flow rate value within the target time is detected to be less than or equal to the preset fluctuation threshold, it can be determined that the mask of the ventilator has fallen off.

[0065] Based on the above design, in this embodiment, the accuracy of mask detachment detection can be effectively improved and the risk of misjudgment can be reduced by combining the magnitudes of multiple measured mask pressure values ​​and the changes in the measured ventilation flow rate values ​​within the target time period.

[0066] It should be noted that, in this embodiment, if the measured mask pressure value and the measured ventilation flow rate value do not meet the above-mentioned judgment conditions, it can be determined that the mask of the ventilator has not fallen off, or further judgment can be made in combination with other conditions, which is not specifically limited in this embodiment.

[0067] In one possible implementation, please refer again to Figure 1 In this embodiment, the ventilator may further include a turbine blower 400. In step S110, the control component 100 may control the speed of the turbine blower 400 to gradually increase from a set speed (e.g., two-thirds of the maximum speed) in set speed steps (e.g., 5% of the maximum speed) until the maximum speed of the turbine blower 400 is reached. Correspondingly, the ventilation flow rate generated by the ventilator will also gradually increase. In this process, the test mask pressure values ​​corresponding to different test ventilation flow rate values ​​can be obtained.

[0068] Then, in step S110, a first fitting curve parameter and a second fitting parameter may be calculated based on the following formula 1 according to the test mask pressure values ​​corresponding to the multiple different test ventilation flow rate values:

[0069] press=a*flow b (Formula 1)

[0070] Wherein, press is the test ventilation flow rate value, flow is the test mask pressure value, a is the first fitting parameter, and b is the second fitting parameter.

[0071] For example, in the process of gradually increasing the rotation speed of the turbine blower 400 from 467 rpm to 700 rpm, the corresponding relationship between the different test ventilation flow rate values ​​and the test mask pressure values ​​recorded is shown in the following table.

[0072]

[0073] Then, in step S110, the above data can be fitted based on formula 1 to obtain a fitting curve between the test ventilation flow rate value and the test mask pressure value, as shown in FIG. Figure 3 As shown, the first fitting parameter and the second fitting parameter in Formula 1 are determined.

[0074] On this basis, in step S130, the measured ventilation flow rate value may be substituted into Formula 1 which has determined the first fitting parameter and the second fitting parameter, thereby determining the reference mask pressure value.

[0075] In one possible implementation, in order to reduce misjudgment, when calculating the reference mask pressure value, the reference mask pressure value corresponding to the measured ventilation flow rate value can be calculated based on the fitting curve parameters, and then a preset floating adjustment value is added to the reference mask pressure value to obtain the adjusted reference mask pressure value.

[0076] In one possible implementation, to reduce the impact of factors such as data noise on the determination result, in step S120, the measured ventilation flow rate and the measured mask pressure of the ventilator can be continuously obtained, and the measured ventilation flow rate and the measured mask pressure values ​​can be low-pass filtered for the data obtained within the target duration. In this way, relatively stable measured ventilation flow rate and the measured mask pressure data can be obtained.

[0077] Please refer to Figure 4 , Figure 4 yes Figure 1 The control assembly 100 includes a ventilator mask-off detection device 110 , a machine-readable storage medium 120 , and a processor 130 .

[0078] The components of the machine-readable storage medium 120 and the processor 130 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The ventilator mask off detection device 110 includes at least one software function module that can be stored in the form of software or firmware in the machine-readable storage medium 120 or solidified in the operating system (OS) of the control component 100. The processor 130 is used to execute the executable modules stored in the machine-readable storage medium 120, such as the software function modules and computer programs included in the ventilator mask off detection device 110.

[0079] The machine-readable storage medium 120 may be, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. The machine-readable storage medium 120 is used to store a program, and the processor 130 executes the program after receiving an execution instruction / can execute the ventilator mask off detection method provided in this embodiment.

[0080] The processor 130 may be an integrated circuit chip with signal processing capabilities. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0081] Please refer to Figure 5 This embodiment further provides a ventilator mask detachment detection device 110. The ventilator mask detachment detection device 110 includes at least one functional module that can be stored in a machine-readable storage medium 120 in software form. Functionally, the ventilator mask detachment detection device 110 can include a parameter correction module 111, a data acquisition module 112, a reference calculation module 113, and a detachment determination module 114.

[0082] The parameter correction module 111 is used to obtain and record the test mask pressure values ​​corresponding to different test ventilation flow rates when the ventilator is in the mask-off state in the correction mode, and calculate the fitting curve parameters of the test ventilation flow rate values ​​and the test mask pressure values.

[0083] In this embodiment, the parameter correction module 111 can be used to perform Figure 2 As shown in step S110 , for a detailed description of the parameter correction module 111 , please refer to the description of step S110 .

[0084] The data acquisition module 112 is used to obtain the actual ventilation flow rate value and the actual mask pressure value of the ventilator within the target time period in the use mode.

[0085] In this embodiment, the data acquisition module 112 can be used to perform Figure 2 As shown in step S120 , for a detailed description of the data acquisition module 112 , please refer to the description of step S120 .

[0086] The reference calculation module 113 is used to calculate the reference mask pressure value corresponding to the measured ventilation flow rate value based on the measured ventilation flow rate value and the fitting curve parameters.

[0087] In this embodiment, the reference calculation module 113 can be used to perform Figure 2 As shown in step S130 , for a detailed description of the reference calculation module 113 , please refer to the description of step S130 .

[0088] The falling-off determination module 114 is configured to determine whether the mask of the ventilator has fallen off according to the measured mask pressure value and the reference mask pressure value.

[0089] In this embodiment, the fall-off determination module 114 can be used to perform Figure 2 As shown in step S140 , for a detailed description of the fall-off determination module 114 , please refer to the description of step S140 .

[0090] In summary, the embodiments of the present application provide a ventilator mask detachment detection method, device, and electronic device. By obtaining the fitting curve parameters of the test ventilation flow rate and test mask pressure values ​​of the ventilator in the mask detachment state in a calibration mode, the measured mask pressure value is then compared with the corresponding reference mask pressure value calculated based on the measured ventilation flow rate and the fitting curve parameters during the test process to determine whether the mask has detached. In this way, relatively accurate mask detachment detection can be performed for different types of masks or different mask-to-ventilation tubing connection methods, reducing the risks of clinical ventilator use.

[0091] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes 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 box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0092] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0093] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0094] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0095] The above descriptions are merely examples of various embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any modifications or substitutions that can be readily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included within the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for detecting when a ventilator mask falls off, characterized in that: The method comprises: In the calibration mode, the test mask pressure values ​​corresponding to different test ventilation flow rate values ​​are obtained and recorded when the ventilator is in the mask-off state, and the fitting curve parameters of the test ventilation flow rate value and the test mask pressure value are calculated; In the use mode, obtaining the measured ventilation flow rate value and the measured mask pressure value of the ventilator within the target time; Calculating a reference mask pressure value corresponding to the measured ventilation flow rate value according to the measured ventilation flow rate value and the fitting curve parameters; Determining whether the mask of the ventilator is off according to the measured mask pressure value and the reference mask pressure value; Wherein, the step of determining whether the mask of the ventilator is detached according to the measured mask pressure value and the reference mask pressure value comprises: detecting whether the measured mask pressure value within the target duration is less than or equal to the reference mask pressure value; If so, detecting whether the maximum fluctuation value of the measured ventilation flow rate within the target duration is less than or equal to a preset fluctuation threshold; If so, it is determined that the mask of the ventilator has fallen off.

2. The method according to claim 1, characterized in that The step of detecting whether the measured mask pressure value within the target time period is less than or equal to the reference mask pressure value comprises: Detect whether the measured mask pressure values ​​corresponding to the multiple measured ventilation flow rate values ​​collected within the target time period are all smaller than the corresponding reference mask pressure values.

3. The method according to claim 1, characterized in that The step of detecting whether the maximum fluctuation value of the measured ventilation flow rate within the target duration is less than or equal to a preset fluctuation threshold comprises: The difference between the maximum value and the minimum value of the plurality of measured ventilation flow rate values ​​within the target duration is calculated as the maximum fluctuation value, and it is detected whether the maximum fluctuation value is less than or equal to a preset fluctuation threshold.

4. The method according to claim 1, wherein The step of calculating the fitting curve parameters of the test ventilation flow rate value and the test mask pressure value comprises: Based on the following formula, the first fitting curve parameter and the second fitting parameter are calculated according to the test mask pressure values ​​corresponding to the multiple different test ventilation flow rate values: in, is the test ventilation flow rate value, is the test mask pressure value, is the first fitting parameter, is the second fitting parameter.

5. The method according to claim 1, wherein The step of calculating a reference mask pressure value corresponding to the measured ventilation flow rate value based on the measured ventilation flow rate value and the fitting curve parameters comprises: Calculating a reference mask pressure value corresponding to the measured ventilation flow rate value according to the fitting curve parameters; A preset floating adjustment value is added to the reference mask pressure value to obtain the adjusted reference mask pressure value.

6. The method according to claim 1, characterized in that The step of obtaining the measured ventilation flow rate value and the measured mask pressure value of the ventilator within the target time period includes: Continuously obtain the measured ventilation flow rate value and the measured mask pressure value of the ventilator, and perform low-pass filtering on the measured ventilation flow rate value and the measured mask pressure value based on the data obtained within the target time length.

7. A ventilator mask falling-off detection device, characterized in that: The ventilator mask falling-off detection device comprises: A parameter correction module is used to obtain and record the test mask pressure values ​​corresponding to different test ventilation flow rate values ​​when the ventilator is in the mask-off state in the correction mode, and calculate the fitting curve parameters of the test ventilation flow rate value and the test mask pressure value; A data acquisition module is used to obtain the actual ventilation flow rate value and the actual mask pressure value of the ventilator within the target time period in the use mode; A reference calculation module is used to calculate a reference mask pressure value corresponding to the measured ventilation flow rate value based on the measured ventilation flow rate value and the fitting curve parameters. The mask detachment determination module is configured to detect whether the measured mask pressure value within the target duration is less than or equal to the reference mask pressure value; if so, to detect whether the maximum fluctuation value of the measured ventilation flow rate value within the target duration is less than or equal to a preset fluctuation threshold; if so, to determine that the mask of the ventilator has detached.

8. A ventilator, characterized in that: The ventilator includes a control component, which includes a processor and a machine-readable storage medium. The machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are executed by the processor, the method according to any one of claims 1 to 6 is implemented.

9. A machine-readable storage medium, characterized in that The machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are executed by one or more processors, the method according to any one of claims 1 to 6 is implemented.

Images