Ventilator ventilation triggering method and device, electronic device, and storage medium

Abstract

The present disclosure provides a ventilator ventilation triggering method and device, electronic equipment, and storage medium, which relate to the field of medical device technology. The ventilator ventilation triggering method includes: obtaining a preset expected flow rate trigger threshold, and determining a target flow rate trigger threshold based on the expected flow rate trigger threshold; collecting effective flow rate data based on the target flow rate trigger threshold; obtaining a preset effective flow rate duration threshold, and when it is detected that the effective flow rate data is greater than or equal to the effective flow rate duration threshold, determining that an active inhalation intention is detected and triggering the ventilation function. The technical solution of the embodiment of the present disclosure can avoid false triggering and effectively improve the accuracy of the ventilation triggering timing.

Description

Technical Field

[0001] The present disclosure relates to the technical field of medical devices, and in particular to a ventilator ventilation triggering method, a ventilator ventilation triggering device, an electronic device, and a computer-readable storage medium. Background Art

[0002] With the rapid development of medical technology, the application of portable ventilators has received more and more attention. Portable ventilators can provide respiratory support by delivering gas (usually an oxygen mixture) to the patient to keep the airway open and ensure adequate oxygen supply. They are often used in scenarios such as patient emergency transfer, rehabilitation treatment, and long-term care. The ventilation function is an important function of the ventilator. This function can assist the patient in actively triggering ventilation. When it detects that the patient's active inhalation generates a positive flow rate, it determines that the patient has the intention to inhale, and will trigger forced ventilation or supported ventilation.

[0003] At present, the relevant technology directly triggers the ventilation function through the flow rate detected by the flow sensor in the ventilator. However, since the ventilator uses a fixed-aperture flow sensor, the A / D value resolution of this relative flow sensor near the zero point of flow rate is low, and there is a problem of flow rate zero point drift, which leads to inaccurate timing of triggering the ventilation function and poor effectiveness of the ventilation function.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention

[0005] The purpose of the embodiments of the present disclosure is to provide a ventilator ventilation triggering method, a ventilator ventilation triggering device, an electronic device and a computer-readable storage medium, thereby effectively improving the accuracy of the timing of triggering the ventilation function of the ventilator and improving the effectiveness of the ventilation function.

[0006] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by practice of the present disclosure.

[0007] According to a first aspect of an embodiment of the present disclosure, a ventilator ventilation triggering method is provided, comprising: obtaining a preset expected flow rate trigger threshold, and determining a target flow rate trigger threshold based on the expected flow rate trigger threshold; collecting effective flow rate data based on the target flow rate trigger threshold; obtaining a preset effective flow rate duration threshold, and upon detecting that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, determining that an active inhalation intention is detected, and triggering the ventilation function.

[0008] In some example embodiments of the present disclosure, based on the aforementioned scheme, when it is detected that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that an active inhalation intention is detected, and the ventilation function is triggered, including: obtaining a preset flow rate boundary; if the effective flow rate data is less than the flow rate boundary, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, determining the standard flow rate data corresponding to the effective flow rate data; when it is detected that there is a data intersection between the effective flow rate data and the standard flow rate data, it is determined that an active inhalation intention is detected, and the ventilation function is triggered.

[0009] In some example embodiments of the present disclosure, based on the aforementioned scheme, the method further includes: if the effective flow rate data is greater than or equal to the flow rate boundary, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that an active inhalation intention is detected, and the ventilation function is triggered.

[0010] In some example embodiments of the present disclosure, based on the aforementioned scheme, the effective flow rate data is collected based on the target flow rate trigger threshold, including: when it is detected that the flow rate identification state is set to the start identification state, obtaining the current flow rate data; determining the flow rate acceleration corresponding to the current flow rate data, and determining the flow rate average acceleration corresponding to the flow rate acceleration; if the current flow rate data is greater than or equal to the target flow rate trigger threshold, and the flow rate acceleration is in the acceleration response interval, and the flow rate average acceleration is less than the preset acceleration threshold, then determining that the current flow rate data is the effective flow rate data.

[0011] In some example embodiments of the present disclosure, based on the aforementioned scheme, determining the average flow acceleration corresponding to the flow acceleration includes: accumulating the flow acceleration collected a short period of time before the current moment to obtain the cumulative flow acceleration, and calculating the number of accumulations; determining the average flow acceleration based on the cumulative flow acceleration and the number of accumulations; and when the current flow data is less than the target flow trigger threshold at any moment, setting the cumulative flow acceleration and the number of accumulations to initial values.

[0012] In some example embodiments of the present disclosure, based on the aforementioned scheme, the target flow rate trigger threshold is determined according to the expected flow rate trigger threshold, including: obtaining a preset ventilator minimum flow rate threshold and a ventilator maximum flow rate threshold; if the expected flow rate trigger threshold is less than the ventilator minimum flow rate threshold, then determining the ventilator minimum flow rate threshold as the actual flow rate trigger threshold; or if the expected flow rate trigger threshold is greater than the ventilator maximum flow rate threshold, then determining the ventilator maximum flow rate threshold as the actual flow rate trigger threshold; or if the expected flow rate trigger threshold is greater than or equal to the ventilator minimum flow rate threshold, and the expected flow rate trigger threshold is less than or equal to the ventilator maximum flow rate threshold, then determining the expected flow rate trigger threshold as the actual flow rate trigger threshold; and using the actual flow rate trigger threshold as the target flow rate trigger threshold.

[0013] In some example embodiments of the present disclosure, based on the aforementioned scheme, using the actual flow rate trigger threshold as the target flow rate trigger threshold includes: obtaining first flow rate data at the current moment, and obtaining second flow rate data at the previous moment; determining a flow rate deviation based on the first flow rate data and the second flow rate data; and determining the target flow rate trigger threshold through the flow rate deviation and the actual flow rate trigger threshold.

[0014] According to a second aspect of an embodiment of the present disclosure, a ventilator ventilation trigger device is provided, comprising: a trigger threshold determination module for obtaining a preset expected flow rate trigger threshold and determining a target flow rate trigger threshold based on the expected flow rate trigger threshold; an effective flow rate acquisition module for acquiring effective flow rate data based on the target flow rate trigger threshold; a ventilation function trigger module for obtaining a preset effective flow rate duration threshold, and upon detecting that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, determining that an active inhalation intention is detected and triggering the ventilation function.

[0015] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising: a processor; and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the ventilator ventilation triggering method in the first aspect is implemented.

[0016] According to a fourth aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the ventilator ventilation triggering method in the first aspect.

[0017] The technical solutions provided by the embodiments of the present disclosure may have the following beneficial effects:

[0018] The ventilator ventilation triggering method in the exemplary embodiment of the present disclosure can obtain a preset expected flow rate trigger threshold and determine a target flow rate trigger threshold based on the expected flow rate trigger threshold. Then, effective flow rate data can be collected based on the target flow rate trigger threshold, a preset effective flow rate duration threshold can be obtained, and when the effective flow rate data is detected to be greater than or equal to the effective flow rate duration threshold, it is determined that active inhalation intention has been detected and the ventilation function is triggered. On the one hand, the target flow rate trigger threshold can be determined by the expected flow rate trigger threshold, and the effective flow rate data can be filtered by the target flow rate trigger threshold. Compared with the related art of directly determining the timing of triggering the ventilation function by the flow sensor in the ventilator, the accuracy of the timing of triggering the ventilation function in the ventilator can be effectively improved, ensuring the effectiveness of the ventilation function in the ventilator. On the other hand, after detecting the effective flow rate data, the authenticity and validity of the effective flow rate data can be ensured by setting the effective flow rate duration threshold, eliminating the effective flow rate data generated by randomness, avoiding false triggering, and further ensuring the accuracy and robustness of the determined timing of triggering the ventilation function in the ventilator.

[0019] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0021] Figure 1 A flowchart of a ventilator ventilation triggering method according to some embodiments of the present disclosure is schematically shown.

[0022] Figure 2 The figure schematically shows a flow chart of a graphic-triggered ventilation function according to some embodiments of the present disclosure.

[0023] Figure 3 The figure schematically shows the principle of graphic-triggered ventilation according to some embodiments of the present disclosure.

[0024] Figure 4 The following schematically illustrates a flow chart of determining effective flow rate data according to some embodiments of the present disclosure.

[0025] Figure 5 A schematic diagram of a ventilation triggering device for a ventilator according to some embodiments of the present disclosure is schematically shown.

[0026] Figure 6 A schematic structural diagram of a computer system of an electronic device according to some embodiments of the present disclosure is schematically shown.

[0027] Figure 7 A schematic diagram of a computer-readable storage medium according to some embodiments of the present disclosure is schematically shown.

[0028] In the drawings, the same or corresponding reference numerals denote the same or corresponding parts. DETAILED DESCRIPTION

[0029] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this specification. Rather, they are merely examples of apparatus and methods consistent with certain aspects of this specification, as detailed in the appended claims.

[0030] The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit this specification. As used in this specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0031] It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, such information should not be limited to these terms. These terms are merely used to distinguish information of the same type from one another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information without departing from the scope of this specification. Depending on the context, the term "if" as used herein may be interpreted as "when," "when," or "in response to determining."

[0032] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0033] In addition, the described features, structures or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, well-known methods, devices, implementations or operations are not shown or described in detail to avoid blurring various aspects of the present disclosure.

[0034] Furthermore, the drawings are schematic illustrations only and are not necessarily drawn to scale. The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. In other words, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0035] In this example embodiment, a ventilator ventilation triggering method is first provided. The ventilator ventilation triggering method can be applied to a ventilator device or to a server that controls the ventilator device. This example embodiment is not limited to this. The following description will be made using a ventilator device as an example to illustrate the method.

[0036] Figure 1 The flowchart of the ventilator ventilation triggering method according to some embodiments of the present disclosure is schematically shown. Figure 1 As shown, the ventilator ventilation triggering method may include the following steps:

[0037] Step S110, obtaining a preset expected flow rate trigger threshold, and determining a target flow rate trigger threshold according to the expected flow rate trigger threshold;

[0038] Step S120, collecting effective flow rate data based on the target flow rate trigger threshold;

[0039] Step S130, obtaining a preset effective flow rate duration threshold, and when detecting that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, determining that active inhalation intention is detected, and triggering the ventilation function.

[0040] According to the ventilator ventilation triggering method in this example embodiment, on the one hand, the target flow rate trigger threshold can be determined by the expected flow rate trigger threshold, and then the effective flow rate data can be filtered by the target flow rate trigger threshold. Compared with the related art of directly determining the timing of triggering the ventilation function through the flow sensor in the ventilator, the accuracy of the timing of triggering the ventilation function in the ventilator can be effectively improved, and the effectiveness of the ventilation function in the ventilator can be ensured; on the other hand, after the effective flow rate data is detected, the authenticity and effectiveness of the effective flow rate data are ensured by setting the effective flow rate duration threshold, and the effective flow rate data generated due to randomness is excluded to avoid false triggering, thereby further ensuring the accuracy and robustness of the determined timing of triggering the ventilation function in the ventilator.

[0041] Next, the ventilator ventilation triggering method in this exemplary embodiment will be further described.

[0042] In step S110, a preset expected flow rate trigger threshold is obtained, and a target flow rate trigger threshold is determined according to the expected flow rate trigger threshold.

[0043] In an example embodiment of the present disclosure, the expected flow rate trigger threshold refers to the flow rate threshold for triggering the ventilation function set through the interactive module on the ventilator. For example, the expected flow rate trigger threshold can be a customizable flow rate threshold set through the ventilation trigger setting knob on the ventilator or the interactive control on the graphical user interface, or it can be a fixed flow rate threshold for triggering the ventilation function set through experiments or tests before the ventilator leaves the factory. This example embodiment does not specifically limit the data source of the expected flow rate trigger threshold.

[0044] The target flow rate trigger threshold refers to the effective flow rate threshold determined based on the expected flow rate trigger threshold. For example, the expected flow rate trigger threshold can be updated according to the maximum flow rate threshold and the minimum flow rate threshold corresponding to the ventilator system or the flow sensor. If the expected flow rate trigger threshold is less than the minimum flow rate threshold, the expected flow rate trigger threshold is updated by the minimum flow rate threshold to obtain the target flow rate trigger threshold, or, if the expected flow rate trigger threshold is greater than the maximum flow rate threshold, the expected flow rate trigger threshold is updated by the maximum flow rate threshold to obtain the target flow rate trigger threshold; the flow rate deviation between the flow rate data collected in different measurement cycles can also be used to adjust the expected flow rate trigger threshold according to the flow rate deviation to obtain the target flow rate trigger threshold, so that the flow rate trigger threshold carries predicted data; of course, this is only an illustrative example and should not cause any special limitation to this embodiment.

[0045] Generally, when a ventilator detects that the flow rate in the inspiratory circuit reaches the desired flow rate trigger threshold through the flow sensor, it can be assumed that the patient using the ventilator has actively inhaled. At this time, the ventilation function can be triggered to achieve forced ventilation or supported ventilation to assist the patient's breathing. However, due to the zero drift problem of the flow sensor in the ventilator, the detected flow rate data is inaccurate. By introducing a graphic trigger to the ventilation function of the ventilator, the problem of false triggering caused by zero drift can be effectively solved.

[0046] According to the actual application scenario and relevant real measurement data, the expected flow rate trigger threshold can be converted into a target flow rate trigger threshold that is more in line with the actual situation. This can effectively improve the accuracy of the determined ventilation function triggering timing, reduce the probability of false triggering, and ensure the effectiveness of the ventilation function in the ventilator.

[0047] In step S120, effective flow rate data is collected based on the target flow rate trigger threshold.

[0048] In an example embodiment of the present disclosure, effective flow rate data refers to flow rate data obtained by screening from the flow sensor of the ventilator for determining the timing of triggering the ventilation function. For example, flow rate data that is greater than or equal to the target flow rate trigger threshold can be used as effective flow rate data, or flow rate data that is greater than or equal to the target flow rate trigger threshold and satisfies the flow rate acceleration can be used as effective flow rate data. Of course, other methods of screening effective flow rate data in combination with the target flow rate trigger threshold can also be used, and this example embodiment does not specifically limit this.

[0049] In step S130, a preset effective flow rate duration threshold is obtained, and when it is detected that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that active inhalation intention is detected, and the ventilation function is triggered.

[0050] In an example embodiment of the present disclosure, the effective flow rate duration threshold refers to a pre-set duration threshold for detecting the duration of effective flow rate data. For example, the effective flow rate duration threshold can be 1s or 2s, and this example embodiment does not make any special limitations on this.

[0051] The ventilation function refers to the function of the ventilator to assist the patient in breathing by actively increasing the flow rate in the inspiratory circuit. The ventilation function can make the patient breathe more easily.

[0052] The target flow rate trigger threshold is determined by the expected flow rate trigger threshold, and then the effective flow rate data is filtered by the target flow rate trigger threshold. Compared with the related technology of directly determining the timing of triggering the ventilation function through the flow sensor in the ventilator, the accuracy of the timing of triggering the ventilation function in the ventilator can be effectively improved, and the effectiveness of the ventilation function in the ventilator can be ensured.

[0053] By setting the effective flow rate duration threshold, the authenticity and validity of the effective flow rate data are ensured, the effective flow rate data generated due to randomness is excluded, false triggering is avoided, and the accuracy and robustness of the timing of triggering the ventilation function in the determined ventilator are further guaranteed.

[0054] The contents of steps S110 to S130 are described in detail below.

[0055] In an exemplary embodiment of the present disclosure, Figure 2 The steps in the above are to determine whether active inspiratory intention is detected and trigger the ventilation function, refer to Figure 2 Specifically, it may include:

[0056] Step S210, obtaining a preset flow velocity boundary;

[0057] Step S220: If the effective flow rate data is less than the flow rate boundary, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, then determining the standard flow rate data corresponding to the effective flow rate data;

[0058] Step S230: When it is detected that the effective flow rate data and the standard flow rate data have data intersection, it is determined that an active inhalation intention is detected, and the ventilation function is triggered.

[0059] Among them, the flow rate boundary refers to a pre-set boundary threshold for distinguishing the gas flow rate in the ventilator. For example, the flow rate boundary can be 2L / min or 5L / min. Of course, the flow rate boundary can be customized according to actual conditions, and this example embodiment does not make any special restrictions on this.

[0060] Standard flow rate data refers to the data when the flow rate in the ventilator does not have zero drift problems under ideal circumstances. The standard flow rate data can be obtained by calibrating the flow rate detected by the flow sensor during the development stage of the ventilator.

[0061] When the effective flow rate data is less than the flow rate limit, each time effective flow rate data is detected, the time count that meets the flow rate trigger condition is increased once. After the time count reaches a certain number of times, it can be considered that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold.

[0062] refer to Figure 3 As shown, a standard flow rate waveform curve 310 can be constructed using standard flow rate data, and the standard flow rate waveform curve 310 has a standard baseline 311. An effective flow rate waveform curve 320 can be constructed using effective flow rate data, and the effective flow rate waveform curve 320 has an effective baseline 321. The waveform morphology of the standard flow rate waveform curve 310 and the effective flow rate waveform curve 320 is substantially the same, but the effective flow rate waveform curve 320 has a baseline offset relative to the standard flow rate waveform curve 310, i.e., the effective baseline 321 is higher than the standard baseline 311. Furthermore, due to the long travel of the ventilator circuit and the response time of the valves used, a hysteresis effect will also occur during normal use, resulting in the phase of the effective flow rate waveform curve 320 lagging behind the standard flow rate waveform curve 310.

[0063] Based on the above reasons, under normal circumstances, there will be no intersection between the standard flow rate waveform curve 310 and the effective flow rate waveform curve 320, that is, there is no data intersection between the effective flow rate data and the standard flow rate data; when the patient's active inhalation is detected, since the standard flow rate waveform curve 310 in the leading phase will first generate a flow rate bump, and then the effective flow rate waveform curve 320 in the trailing phase will lag for a certain period of time before the flow rate bump occurs, at this time, the standard flow rate waveform curve 310 and the effective flow rate waveform curve 320 will have a curve intersection, that is, there is data intersection between the effective flow rate data and the standard flow rate data, so it can be considered that the patient has an active inhalation intention.

[0064] By introducing the standard flow rate waveform curve 310 corresponding to the standard flow rate data and the effective flow rate data to construct the effective flow rate waveform curve 320, and combining it with the standard baseline 311, the active ventilation function of the ventilator is realized by graphic triggering, which can effectively solve the problem of false triggering caused by zero point drift and improve the triggering accuracy of the active ventilation function of the ventilator.

[0065] Optionally, if it is detected that the effective flow rate data is greater than or equal to the flow rate boundary, and the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that active inhalation intention is detected, and the ventilation function is triggered.

[0066] When the gas flow rate in the ventilator is less than the flow rate limit, it can be considered that the gas flow rate in the ventilator is small. At this time, the zero drift problem of the flow sensor needs to be considered. The effective flow rate duration threshold and the data distribution between the effective flow rate data and the standard flow rate data (i.e., the flow rate curve) can be combined to realize the determination of the ventilation function triggering timing, so as to improve the accuracy of the determined ventilation function triggering timing. Through the effective flow rate duration threshold triggering and graphic monitoring triggering, the probability of false triggering of the ventilation function can be effectively reduced, and the effectiveness of the ventilation function can be improved.

[0067] When the gas flow rate in the ventilator is greater than or equal to the flow rate limit, it can be considered that the gas flow rate in the ventilator is large. At this time, the zero drift problem of the flow sensor and the hysteresis effect of the valve and the inhalation pipeline can be ignored. Therefore, the triggering timing of the ventilation function can be directly determined according to the effective flow rate duration threshold, which reduces the amount of calculation and improves the calculation efficiency.

[0068] In an exemplary embodiment of the present disclosure, Figure 4 The steps in the above code are used to collect effective flow rate data based on the target flow rate trigger threshold. Figure 4 Specifically, it may include:

[0069] Step S410, when it is detected that the flow velocity recognition state is set to the start recognition state, obtaining current flow velocity data;

[0070] Step S420, determining the flow velocity acceleration corresponding to the current flow velocity data, and determining the flow velocity average acceleration corresponding to the flow velocity acceleration;

[0071] Step S430: If the current flow rate data is greater than or equal to the target flow rate trigger threshold, the flow rate acceleration is in the acceleration response range, and the average flow rate acceleration is less than the preset acceleration threshold, then the current flow rate data is determined to be the valid flow rate data.

[0072] Among them, the start identification state refers to the working state of the ventilator when it detects that flow rate identification is required. For example, when the flow rate data is detected to be greater than 0, the ventilator can set the flow rate identification state to the start identification state; or when it is detected that the ventilator is in the first ventilation cycle, the flow rate identification state can be set to the start identification state. This embodiment is not limited to this.

[0073] The current flow rate data refers to the flow rate data at each moment directly detected by the ventilator through the flow sensor. At the same time, the flow rate acceleration corresponding to the current flow rate data can be determined. For example, the instantaneous flow rate acceleration corresponding to the current flow rate data can be obtained directly through the hardware parameters of the ventilator. Of course, the instantaneous flow rate acceleration corresponding to the current flow rate data can also be obtained through a monitoring window with a preset step size. This example embodiment does not specifically limit the method of collecting the flow rate acceleration corresponding to the current flow rate data.

[0074] The acceleration response interval refers to a pre-set limit range used to determine whether flow acceleration is normal. If the flow acceleration is detected within the acceleration response interval, it can be considered normal, and the current flow velocity data corresponding to it can be considered valid flow velocity data. If the flow acceleration is not detected within the acceleration response interval, it can be considered abnormal, and the current flow velocity data corresponding to it can be considered abnormal flow velocity data and not used as reference data for determining the timing of ventilation function triggering. The acceleration response area can be customized according to the application scenario. This embodiment does not specifically limit the value range of the acceleration response interval.

[0075] The average flow rate acceleration refers to the average value of the instantaneous flow rate acceleration corresponding to the current flow rate data accumulated from the start of flow rate identification to the current moment. The preset acceleration threshold refers to the threshold used to measure whether the average flow rate acceleration reaches the level of active inhalation. For example, the preset acceleration threshold can be the average value of the endpoint values ​​of the acceleration response interval, or it can be the median value in the acceleration response interval. The specific setting can be customized according to the actual application situation, and this example embodiment does not make any special restrictions on this.

[0076] By using flow rate trigger conditions such as the target flow rate trigger threshold, acceleration response range, and preset acceleration threshold, the flow rate data that meets the requirements for triggering the ventilation function can be screened layer by layer. This can effectively improve the accuracy and effectiveness of the effective flow rate data obtained through screening, improve the matching of the effective flow rate data obtained through screening with the active inhalation intention, and effectively ensure the accuracy of the determined ventilation function triggering timing.

[0077] Optionally, the average flow acceleration corresponding to the flow acceleration can be determined by the following steps: the flow acceleration collected at each moment in a short period of time before the current moment can be accumulated to obtain the cumulative flow acceleration, and the number of accumulations can be calculated, and the average flow acceleration can be determined based on the accumulated flow acceleration and the accumulated number of accumulations; and when the current flow data is less than the target flow trigger threshold at any moment, or the flow acceleration exceeds the acceleration response range, the accumulated flow acceleration and the accumulated number of accumulations are set to the initial value. For example, the initial value can be zero, so as to clear the accumulated flow acceleration and the accumulated number of accumulations.

[0078] For example, the average acceleration of the flow velocity can be calculated using the relationship (1):

[0079]

[0080] Among them, AccFlowMean can represent the average flow acceleration, AccFlow can represent the flow acceleration collected at each moment in a short period of time before the current moment, ∑AccFlow can represent the cumulative flow acceleration, and n can represent the number of accumulations.

[0081] The average flow acceleration is calculated in a cumulative manner to ensure its accuracy and effectiveness. At the same time, if the current flow velocity data at any moment does not meet the trigger conditions, such as when the flow velocity condition and the acceleration condition do not meet the set threshold, the accumulated flow velocity acceleration and the accumulated times are reset to zero. This can effectively avoid the generation of interference data, reduce the probability of false triggering, improve the accuracy of triggering the ventilation function, ensure that the ventilation function is triggered at an effective triggering time, and improve the effectiveness of the ventilation function.

[0082] In an exemplary embodiment of the present disclosure, the following steps may be performed to determine the target flow rate trigger threshold according to the expected flow rate trigger threshold, which may specifically include:

[0083] Obtain the preset ventilator minimum flow rate threshold and ventilator maximum flow rate threshold. If the expected flow rate trigger threshold is less than the ventilator minimum flow rate threshold, the ventilator minimum flow rate threshold is determined as the actual flow rate trigger threshold; or if the expected flow rate trigger threshold is greater than the ventilator maximum flow rate threshold, the ventilator maximum flow rate threshold is determined as the actual flow rate trigger threshold; or if the expected flow rate trigger threshold is greater than or equal to the ventilator minimum flow rate threshold, and the expected flow rate trigger threshold is less than or equal to the ventilator maximum flow rate threshold, the expected flow rate trigger threshold is determined as the actual flow rate trigger threshold; and the actual flow rate trigger threshold is used as the target flow rate trigger threshold.

[0084] For example, the target flow rate trigger threshold can be determined by equation (2):

[0085]

[0086] Among them, SetTrigger can represent the expected flow rate trigger threshold, MinFlowThresh can represent the minimum flow rate threshold of the ventilator, MaxFlowThresh can represent the maximum flow rate threshold of the ventilator, and Thresh can represent the target flow rate trigger threshold.

[0087] Optionally, the actual flow rate trigger threshold may be used as the target flow rate trigger threshold by the following steps, which may specifically include:

[0088] The first flow rate data at the current moment and the second flow rate data at the previous moment can be obtained, the flow rate deviation is determined based on the first flow rate data and the second flow rate data, and the target flow rate trigger threshold is determined through the flow rate deviation and the actual flow rate trigger threshold.

[0089] The first flow rate data refers to the flow rate data collected at the current moment; the second flow rate data refers to the flow rate data collected at the previous moment.

[0090] It can be understood that since the flow rate deviation can be considered unchanged in a short period of time, the target flow rate trigger threshold at the current moment can be predicted and updated through the deviation of the flow rate data at the current moment and the previous moment, thereby effectively improving the accuracy and effectiveness of the target flow rate trigger threshold used to screen valid flow rate data, and further ensuring the accuracy of the valid flow rate data.

[0091] For example, the flow rate deviation can be determined by the relationship (3):

[0092] FlowErr=Max{Flow-FlowLast, 0}(3)

[0093] Among them, FlowErr can represent the flow rate deviation, Flow can represent the first flow rate data at the current moment, FlowLast can represent the second flow rate data at the previous moment, and Max{Flow-FlowLast, 0} is used to ensure that the determined flow rate deviation is non-negative.

[0094] It is easy for those skilled in the art to understand that the flow rate data at the next moment and the flow rate data at the current moment can be expressed as the relationship (4):

[0095] FlowNext=Flo w +FlowEr r (4)

[0096] FlowNext can represent the flow rate data at the next moment, Flow can represent the flow rate data at the current moment, and FlowErr can represent the flow rate deviation. Since the flow rate data at the next moment needs to satisfy FlowNext ≥ Thresh, based on equation (4), the flow rate data at the current moment needs to satisfy Flow < Thresh - FlowErr, where Thresh - FlowErr can represent the target flow rate trigger threshold after the prediction update.

[0097] In summary, according to the ventilator ventilation triggering method disclosed herein, a pre-set expected flow rate trigger threshold can be obtained, and a target flow rate trigger threshold can be determined based on the expected flow rate trigger threshold. Then, effective flow rate data can be collected based on the target flow rate trigger threshold, a preset effective flow rate duration threshold can be obtained, and when the effective flow rate data is detected to be greater than or equal to the effective flow rate duration threshold, it is determined that an active inhalation intention has been detected and the ventilation function is triggered. On the one hand, the target flow rate trigger threshold can be determined by the expected flow rate trigger threshold, and then the effective flow rate data can be filtered by the target flow rate trigger threshold. Compared with the related art of directly determining the timing of triggering the ventilation function by the flow sensor in the ventilator, the accuracy of the timing of triggering the ventilation function in the ventilator can be effectively improved, ensuring the effectiveness of the ventilation function in the ventilator; on the other hand, after detecting the effective flow rate data, the authenticity and validity of the effective flow rate data can be ensured by setting the effective flow rate duration threshold, eliminating the effective flow rate data generated by randomness, avoiding false triggering, and further ensuring the accuracy and robustness of the determined timing of triggering the ventilation function in the ventilator.

[0098] It should be noted that although the steps of the method disclosed herein are depicted in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in that particular order, or that all steps must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one, and / or one step may be decomposed into multiple steps.

[0099] In addition, in this exemplary embodiment, a ventilator ventilation triggering device is also provided. Figure 5 As shown, the ventilator ventilation triggering device 500 includes: a trigger threshold determination module 510, an effective flow rate acquisition module 520 and a ventilation function triggering module 530. Among them:

[0100] The trigger threshold determination module 510 is used to obtain a preset expected flow rate trigger threshold and determine a target flow rate trigger threshold based on the expected flow rate trigger threshold;

[0101] The effective flow rate acquisition module 520 is used to acquire effective flow rate data based on the target flow rate trigger threshold;

[0102] The ventilation function triggering module 530 is used to obtain a preset effective flow rate duration threshold, and when it is detected that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that an active inhalation intention is detected and the ventilation function is triggered.

[0103] In an exemplary embodiment of the present disclosure, based on the above solution, the ventilation function triggering module 530 is used to:

[0104] Obtaining preset flow rate boundaries;

[0105] If the effective flow rate data is less than the flow rate limit, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, determining the standard flow rate data corresponding to the effective flow rate data;

[0106] When it is detected that the effective flow rate data and the standard flow rate data have data intersection, it is determined that an active inhalation intention is detected, and the ventilation function is triggered.

[0107] In an exemplary embodiment of the present disclosure, based on the above solution, the ventilation function triggering module 530 is used to:

[0108] If the effective flow rate data is greater than or equal to the flow rate limit, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that active inhalation intention is detected, and the ventilation function is triggered.

[0109] In an exemplary embodiment of the present disclosure, based on the above solution, the effective flow rate acquisition module 520 is used to:

[0110] When it is detected that the flow rate identification state is set to the start identification state, the current flow rate data is obtained;

[0111] Determining a flow velocity acceleration corresponding to the current flow velocity data, and determining an average flow velocity acceleration corresponding to the flow velocity acceleration;

[0112] If the current flow rate data is greater than or equal to the target flow rate trigger threshold, the flow rate acceleration is in the acceleration response range, and the flow rate average acceleration is less than the preset acceleration threshold, the current flow rate data is determined to be the valid flow rate data.

[0113] In an exemplary embodiment of the present disclosure, based on the above solution, the effective flow rate acquisition module 520 is used to:

[0114] Accumulate the flow velocity acceleration collected at each moment in a short period of time before the current moment to obtain the cumulative flow velocity acceleration, and calculate the number of accumulations;

[0115] Determining the average flow velocity acceleration according to the accumulated flow velocity acceleration and the accumulation times; and

[0116] At any moment when the current flow rate data is less than the target flow rate trigger threshold, or when the flow rate acceleration exceeds the acceleration response interval, the accumulated flow rate acceleration and the accumulated times are set to initial values.

[0117] In an exemplary embodiment of the present disclosure, based on the above solution, the trigger threshold determination module 510 is configured to:

[0118] Obtain the preset ventilator minimum flow rate threshold and ventilator maximum flow rate threshold;

[0119] If the expected flow rate trigger threshold is less than the ventilator minimum flow rate threshold, the ventilator minimum flow rate threshold is determined as the actual flow rate trigger threshold; or

[0120] If the expected flow rate trigger threshold is greater than the ventilator maximum flow rate threshold, the ventilator maximum flow rate threshold is determined as the actual flow rate trigger threshold; or

[0121] If the expected flow rate trigger threshold is greater than or equal to the ventilator minimum flow rate threshold, and the expected flow rate trigger threshold is less than or equal to the ventilator maximum flow rate threshold, then the expected flow rate trigger threshold is determined as the actual flow rate trigger threshold;

[0122] The actual flow rate trigger threshold is used as the target flow rate trigger threshold.

[0123] In an exemplary embodiment of the present disclosure, based on the above solution, the trigger threshold determination module 510 is configured to:

[0124] Obtaining first flow rate data at the current moment, and obtaining second flow rate data at the previous moment;

[0125] determining a flow rate deviation based on the first flow rate data and the second flow rate data;

[0126] The target flow rate trigger threshold is determined according to the flow rate deviation and the actual flow rate trigger threshold.

[0127] The specific details of each module of the above-mentioned ventilator ventilation triggering device have been described in detail in the corresponding ventilator ventilation triggering method, so they will not be repeated here.

[0128] It should be noted that although several modules or units of the ventilator ventilation triggering device are mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in a single module or unit. Conversely, the features and functions of a single module or unit described above can be further divided and embodied by multiple modules or units.

[0129] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above-mentioned ventilator ventilation triggering method is also provided.

[0130] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods, or program products. Therefore, various aspects of the present disclosure may be implemented in the following forms: a complete hardware embodiment, a complete software embodiment (including firmware, microcode, etc.), or an embodiment combining hardware and software aspects, which may be collectively referred to herein as a "circuit," "module," or "system."

[0131] Refer to the following Figure 6 6 to describe the electronic device 600 according to such an embodiment of the present disclosure. Figure 6 The electronic device 600 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0132] like Figure 6 As shown, electronic device 600 is implemented as a general-purpose computing device. Components of electronic device 600 may include, but are not limited to, the aforementioned at least one processing unit 610, the aforementioned at least one storage unit 620, a bus 630 connecting various system components (including storage unit 620 and processing unit 610), and a display unit 640.

[0133] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present disclosure described in the above “Exemplary Method” section of this specification. For example, the processing unit 610 can perform the following steps: Figure 1 In step S110 shown in the figure, a preset expected flow rate trigger threshold is obtained, and a target flow rate trigger threshold is determined based on the expected flow rate trigger threshold; in step S120, effective flow rate data is collected based on the target flow rate trigger threshold; in step S130, a preset effective flow rate duration threshold is obtained, and when it is detected that the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that an active inhalation intention is detected, and the ventilation function is triggered.

[0134] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 621 and / or a cache memory unit 622 , and may further include a read-only memory unit (ROM) 623 .

[0135] The storage unit 620 may also include a program / utility 624 having a set (at least one) of program modules 625, such program modules 625 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0136] Bus 630 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0137] The electronic device 600 can also communicate with one or more external devices 670 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and / or any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 650. Furthermore, the electronic device 600 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 660. As shown, the network adapter 660 communicates with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 600, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0138] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0139] In exemplary embodiments of the present disclosure, a computer-readable storage medium is also provided, on which is stored a program product capable of implementing the aforementioned methods of this specification. In some possible embodiments, various aspects of the present disclosure may also be implemented in the form of a program product comprising program code. When the program product is executed on a terminal device, the program code is configured to cause the terminal device to execute the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of the present disclosure.

[0140] refer to Figure 7As shown, a program product 700 for implementing the above-mentioned ventilator ventilation triggering method according to an embodiment of the present disclosure is described. The program product 700 can be a portable compact disk read-only memory (CD-ROM) and includes program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0141] The program product may be implemented in any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0142] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0143] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0144] The program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, and the like, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0145] Furthermore, the figures above are merely illustrative of the processes included in the methods according to exemplary embodiments of the present disclosure and are not intended to be limiting. It is readily understood that the processes illustrated in the figures above do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0146] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0147] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.

[0148] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A ventilator ventilation triggering method, characterized in that: include: Obtaining a preset expected flow rate trigger threshold, and determining a target flow rate trigger threshold based on the expected flow rate trigger threshold; Collecting effective flow rate data based on the target flow rate trigger threshold; Obtaining a preset effective flow rate duration threshold and a preset flow rate boundary; If the effective flow rate data is less than the flow rate boundary, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, then determining the standard flow rate data corresponding to the effective flow rate data; when it is detected that the effective flow rate data and the standard flow rate data have data intersections, then determining that an active inhalation intention has been detected, and triggering the ventilation function; If the effective flow rate data is greater than or equal to the flow rate limit, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, it is determined that active inhalation intention is detected, and the ventilation function is triggered.

2. The ventilator ventilation triggering method according to claim 1, characterized in that: The collecting effective flow rate data based on the target flow rate trigger threshold comprises: When it is detected that the flow rate identification state is set to the start identification state, the current flow rate data is obtained; Determining the flow velocity acceleration corresponding to the current flow velocity data, and determining the average flow velocity acceleration corresponding to the flow velocity acceleration in the current time period; If the current flow rate data is greater than the target flow rate trigger threshold, the flow rate acceleration is in the acceleration response interval, and the flow rate average acceleration is less than the preset acceleration threshold, the current flow rate data is determined to be the valid flow rate data.

3. The ventilator ventilation triggering method according to claim 2, characterized in that: Determining the average flow velocity acceleration corresponding to the flow velocity acceleration includes: Accumulate the flow velocity acceleration collected at each moment to obtain the cumulative flow velocity acceleration, and calculate the number of accumulations; Determining the average flow velocity acceleration according to the accumulated flow velocity acceleration and the accumulation times; and When the effective flow rate data is less than the target flow rate trigger threshold at any time, the accumulated flow rate acceleration and the accumulated times are set to initial values.

4. The ventilator ventilation triggering method according to claim 1, characterized in that: The determining of the target flow rate trigger threshold according to the expected flow rate trigger threshold comprises: Obtain the preset ventilator minimum flow rate threshold and ventilator maximum flow rate threshold; If the expected flow rate trigger threshold is less than the ventilator minimum flow rate threshold, the ventilator minimum flow rate threshold is determined as the actual flow rate trigger threshold; or If the expected flow rate trigger threshold is greater than the ventilator maximum flow rate threshold, the ventilator maximum flow rate threshold is determined as the actual flow rate trigger threshold; or If the expected flow rate trigger threshold is greater than or equal to the ventilator minimum flow rate threshold, and the expected flow rate trigger threshold is less than or equal to the ventilator maximum flow rate threshold, then the expected flow rate trigger threshold is determined as the actual flow rate trigger threshold; The actual flow rate trigger threshold is used as the target flow rate trigger threshold.

5. The ventilator ventilation triggering method according to claim 4, characterized in that: The using the actual flow rate trigger threshold as the target flow rate trigger threshold includes: Obtaining first flow rate data at the current moment, and obtaining second flow rate data at the previous moment; determining a flow rate deviation based on the first flow rate data and the second flow rate data; The target flow rate trigger threshold is determined according to the flow rate deviation and the actual flow rate trigger threshold.

6. A ventilator ventilation trigger device, characterized in that: include: A trigger threshold determination module is used to obtain a preset expected flow rate trigger threshold and determine a target flow rate trigger threshold based on the expected flow rate trigger threshold; An effective flow rate acquisition module, configured to acquire effective flow rate data based on the target flow rate trigger threshold; A ventilation function triggering module is used to obtain a preset effective flow rate duration threshold and a preset flow rate boundary; if the effective flow rate data is less than the flow rate boundary, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, then the standard flow rate data corresponding to the effective flow rate data is determined; when it is detected that there is a data intersection between the effective flow rate data and the standard flow rate data, it is determined that an active inhalation intention is detected, and the ventilation function is triggered; if the effective flow rate data is greater than or equal to the flow rate boundary, and the duration of the effective flow rate data is greater than or equal to the effective flow rate duration threshold, then it is determined that an active inhalation intention is detected, and the ventilation function is triggered.

7. An electronic device comprising: processor; as well as A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by the processor, implement the ventilator ventilation triggering method according to any one of claims 1 to 5. 8 . A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the ventilator ventilation triggering method according to claim 1 is implemented.

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