Respiratory support equipment double-trigger identification method, medium and terminal
By real-time denoising and feature judgment of the user traffic of the breath support device, the double-triggering event is identified, and the problem of low accuracy in the prior art is solved, and higher recognition accuracy and better mechanical ventilation effect is achieved.
Patent Information
- Application Number
- CN202411876215.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-03-18
AI Technical Summary
In the prior art, respiratory support equipment has low accuracy when identifying dual-trigger events, resulting in poor mechanical ventilation and inability to achieve clinical treatment effects.
By denoising the user traffic in real time, we judge the volume value and time difference of the patient's inhalation time, and identify the dual-trigger event based on whether the user traffic meets the preset conditions. The specific steps include FIR low-pass filtering and one-dimensional Kalman filtering processing on the flow data, and determining whether the volume value and time difference value meet a specific threshold.
It improves the accuracy of dual-trigger recognition, simplifies the process, is convenient to operate, and is suitable for implementation in embedded systems, greatly improving the expected results of testing.
Smart Images

Figure CN119633217A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of medical equipment, and in particular relates to a double-trigger identification method, medium and terminal for respiratory support equipment. Background Art
[0002] During mechanical ventilation, when the patient's breathing needs do not match the ventilator setting parameters, it is easy to cause human-machine asynchrony and other phenomena, resulting in poor mechanical ventilation effects and failure to achieve clinical treatment effects. Common types of human-machine asynchrony include double triggering, no triggering, premature switching, false triggering, etc. Among them, double triggering events generally occur when the patient's inhalation time is long and the switching gear set by the ventilator is more sensitive. The patient is still in the inhalation stage, the ventilator switches prematurely, and then triggers again.
[0003] The patent application with publication number CN113539398A provides a human-machine asynchronous classification method, system, terminal and storage medium for a ventilator. This patent application describes the process of identifying double triggers: first, the respiratory data of the tidal volume channel is detected for peaks and troughs, and the respiratory cycle in the respiratory data is obtained. The respiratory data is segmented and processed according to the respiratory cycle to obtain the segmented sample data; the segmented sample data includes the normal respiratory cycle, the invalid inspiratory effort respiratory cycle and the respiratory data of the double-trigger respiratory cycle of the same set number of times; then, the segmented sample data is filled with points, the sample data of each respiratory cycle is set to a preset number of data points, the sample data that is not enough for the preset number of data points is filled with zeros, and each sample data is marked according to the human-machine asynchronous event; finally, the pre-processed data is input into the decision tree or random forest network model for training. The above scheme is difficult to implement in embedded software, and needs to be connected to an independent server or other platform, and requires a large amount of training data. The data output by the simulated lung is also quite different from that of the human body, the recognition accuracy is low, and the test is difficult to achieve the expected effect, which has the same disadvantages as the prior art.
[0004] Therefore, how to provide a dual-trigger recognition method for respiratory support equipment with high recognition accuracy to improve the expected effect of the test is an urgent problem to be solved by personnel in this technical field. Summary of the invention
[0005] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a dual-trigger identification method for respiratory support equipment to solve the problem in the prior art that the dual-trigger identification accuracy of respiratory support equipment is low, resulting in the test result not achieving the expected effect; in addition, the present invention also provides a dual-trigger identification medium and terminal for respiratory support equipment.
[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:
[0007] In a first aspect, the present invention provides a dual trigger identification method for a respiratory support device, comprising the following steps:
[0008] S10. Real-time denoising of the user flow F; S20. Determine whether the patient has entered the inhalation moment. If so, record the volume value V of the patient at the moment of inhalation, and obtain the volume value lastV of the last inhalation moment; obtain and record the time point inhTime of the patient's inhalation moment, and obtain the time point lastinhTime of the last inhalation moment; obtain and record the user flow F of the patient at the moment of inhalation; S30. Determine whether the absolute value of the difference between the volume value V and the volume value lastV, the difference between the time point inhTime and the time point lastinhTime, and the user flow F simultaneously meet the preset conditions. If so, add 1 to the double trigger cycle. Otherwise, return to step S10.
[0009] Furthermore, in step S10, FIR low-pass filtering and one-dimensional Kalman filtering are used to remove noise.
[0010] Furthermore, in the step S30, if the absolute value of the difference between the volume value V and the volume value lastV is greater than 0.15 times the volume value V, the preset condition is met.
[0011] Furthermore, in the step S30, if the time point inhTime minus the time point lastinhTime is less than 2 seconds, the preset condition is met.
[0012] Furthermore, in step S30, if the user flow rate F is greater than 10 L / min, the preset condition is met.
[0013] In a second aspect, the present invention further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.
[0014] In a third aspect, the present invention further provides an electronic terminal, comprising: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes the method as described above.
[0015] Compared with the prior art, the dual-trigger identification method, medium and terminal of the respiratory support device provided by the present invention have at least the following beneficial effects:
[0016] In the prior art, when the patient's breathing needs do not match the ventilator setting parameters, it is easy to cause human-machine asynchrony and other phenomena, resulting in poor mechanical ventilation effects, failure to achieve clinical treatment effects, and low human-machine asynchrony recognition accuracy. The present invention has a simple process and convenient operation. By collecting actual clinical data, using the characteristics of dual triggering, and using flow, pressure and volume waveforms for recognition, a higher recognition accuracy can be achieved, and it is easy to implement in an embedded system, greatly improving the expected effect of the test. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the scheme of the present invention, a brief introduction is given below to the figures required for use in the description of the embodiments. Obviously, the figures described below are some embodiments of the present invention. For ordinary technicians in this field, other figures can be obtained based on these figures without paying any creative work.
[0018] Figure 1 A flowchart of a double-trigger identification method for a respiratory support device provided by an embodiment of the present invention;
[0019] Figure 2 A schematic diagram of double-triggered flow and pressure waveforms of a double-triggered identification method for respiratory support equipment provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0020] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. The preferred embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.
[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.
[0022] The present invention provides a double-trigger identification method for a respiratory support device, which is applied to the identification process of human-machine asynchronous phenomenon in a respiratory support device. The double-trigger identification method for a respiratory support device comprises the following steps:
[0023] S10. Real-time denoising of the user flow F; S20. Determine whether the patient has entered the inhalation moment. If so, record the volume value V of the patient at the moment of inhalation, and obtain the volume value lastV of the last inhalation moment; obtain and record the time point inhTime of the patient's inhalation moment, and obtain the time point lastinhTime of the last inhalation moment; obtain and record the user flow F of the patient at the moment of inhalation; S30. Determine whether the absolute value of the difference between the volume value V and the volume value lastV, the difference between the time point inhTime and the time point lastinhTime, and the user flow F meet the preset conditions at the same time. If so, add 1 to the double trigger cycle, otherwise return to step S10.
[0024] The invention has a simple process and is easy to operate. It uses the characteristics of double triggering and utilizes flow, pressure and volume waveforms for identification, thereby improving the identification accuracy.
[0025] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.
[0026] The present invention provides a double-trigger identification method for respiratory support equipment, which is applied to the identification process of human-machine asynchronous phenomenon in respiratory support equipment. The double-trigger event is based on the advance switching, the user's inhalation efforts continue, and the user's flow rate is greater than 0 and reaches the trigger condition again. Two triggers are performed within an actual inhalation cycle of the patient, and the flow rate and pressure waveforms are as follows: Figure 1 Box, through the summary of a large number of similar waveforms, the most obvious feature of the double trigger event is: in one of the inhalation trigger moments, because the patient is still inhaling, there is still a lot of gas in the patient's lungs that has not been exhaled. When the inhalation is triggered again, the user flow is large and the residual tidal volume is also large. Therefore, when judging the double trigger, the relative difference in the volume at the inhalation moment of two adjacent cycles can be used for comparison. In short, when the patient is normally triggered, the user flow gradually returns to 0 from a negative value, and the difference in the residual tidal volume of two adjacent inhalations should be small. When the double trigger event occurs, both values are obviously abnormal. Combined with Figure 1 and Figure 2 In this embodiment, the double-trigger identification method for respiratory support equipment includes the following steps:
[0027] S10: Perform real-time denoising on user traffic F.
[0028] Specifically, FIR low-pass filtering and one-dimensional Kalman filtering are used to remove noise.
[0029] S20. Determine whether the patient has entered the inhalation moment. If so, record the volume value V of the patient at the moment of inhalation, and obtain the volume value lastV of the last inhalation moment; obtain and record the time point inhTime of the patient's inhalation moment, and obtain the time point lastinhTime of the last inhalation moment; obtain and record the user flow F of the patient at the moment of inhalation.
[0030] S30, determine whether the absolute value of the difference between the volume value V and the volume value lastV, the difference between the time point inhTime and the time point lastinhTime, and the user flow F simultaneously meet the preset conditions. If so, add 1 to the double trigger cycle. If not, return to step S10.
[0031] Specifically, in step S30, if the absolute value of the difference between the volume value V and the volume value lastV is greater than 0.15 times the volume value V, the preset condition is met and the set threshold value can be appropriately modified according to actual conditions.
[0032] Further, in this embodiment, if the time point inhTime minus the time point lastinhTime is less than 2 seconds, the preset condition is met and the set threshold can be appropriately modified according to actual conditions.
[0033] Furthermore, in this embodiment, if the user flow rate F is greater than 10 L / min, the preset condition is met and the set threshold can be appropriately modified according to actual conditions.
[0034] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, any one of the methods in the present embodiment is implemented.
[0035] An embodiment of the present invention further provides an electronic terminal, comprising: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes any one of the methods in this embodiment.
[0036] The computer-readable storage medium in this embodiment can be understood by ordinary technicians in this field: all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to the computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.
[0037] The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication with each other. The memory is used to store computer programs, the communication interface is used to communicate, and the processor and the transceiver are used to run computer programs so that the electronic terminal executes each step of the above method.
[0038] Compared with the prior art, the dual-trigger identification method, medium and terminal of the respiratory support equipment described in the above embodiments are easy to cause human-machine asynchrony and other phenomena when the patient's respiratory demand does not match the ventilator setting parameters, resulting in poor mechanical ventilation effect, inability to achieve clinical treatment effect, and low human-machine asynchrony identification accuracy. The present invention has a simple process and convenient operation. By collecting actual clinical data, using the characteristics of dual triggering, and using flow, pressure and volume waveforms for identification, a higher recognition accuracy can be achieved, and it is easy to implement in an embedded system, greatly improving the expected effect of the test.
[0039] Obviously, the embodiments described above are only preferred embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are shown in the accompanying drawings, but they do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific embodiments, or to perform equivalent replacements for some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of the present invention, directly or indirectly used in other related technical fields, is also within the scope of patent protection of the present invention.
Claims
1. A double-trigger identification method for respiratory support equipment, characterized in that: The following steps are involved: S10, performing real-time denoising on user traffic F; S20, determining whether the patient has entered the inhalation moment, if so, recording the volume value V of the patient at the moment of inhalation, obtaining the volume value lastV of the last inhalation moment; obtaining and recording the time point inhTime of the patient's inhalation moment, obtaining the time point lastinhTime of the last inhalation moment; obtaining and recording the user flow F of the patient at the moment of inhalation; S30, determine whether the absolute value of the difference between the volume value V and the volume value lastV, the difference between the time point inhTime and the time point lastinhTime, and the user flow F simultaneously meet the preset conditions, if so, then add 1 to the double trigger cycle, if not, return to step S10.
2. A double-trigger identification method for respiratory support equipment according to claim 1, characterized in that: In the step S10, FIR low-pass filtering and one-dimensional Kalman filtering are used to remove noise.
3. A double-trigger identification method for respiratory support equipment according to claim 1, characterized in that: In the step S30, if the absolute value of the difference between the volume value V and the volume value lastV is greater than 0.15 times the volume value V, the preset condition is met.
4. A double-trigger identification method for respiratory support equipment according to claim 1, characterized in that: In the step S30, if the time point inhTime minus the time point lastinhTime is less than 2 seconds, the preset condition is met.
5. A double-trigger identification method for respiratory support equipment according to claim 1, characterized in that: In the step S30, if the user flow rate F is greater than 10 L / min, the preset condition is met.
6. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.
7. An electronic terminal, characterized in that: include: Processor and memory; The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes the method according to any one of claims 1 to 5.
Citation Information
Patent Citations
Breathing machine man-machine asynchronous classification method, terminal and storage medium
CN113539398A