A method of controlling a ventilation device and a ventilation device

Abstract

A method of controlling a ventilation device and the ventilation device, the method comprising: obtaining a device signal related to a device for controlling ventilation flow in the ventilation device and obtaining a ventilation signal including at least one of a flow signal and a pressure signal during the ventilation device providing mechanical ventilation for a ventilation subject; determining a triggering sensitivity for triggering ventilation based on the ventilation signal according to at least the device signal; identifying a ventilation triggering signal in the ventilation signal according to the triggering sensitivity; and controlling the ventilation device to switch a ventilation state when the ventilation triggering signal is identified. The application adjusts the sensitivity of ventilation triggering based on the device signal related to the device for controlling ventilation flow in the ventilation device, thereby improving the human-machine synchronization performance.

Description

Technical Field

[0001] This application relates to the medical field, and more specifically to a method for controlling a ventilation device and a ventilation device. Background Technology

[0002] Ventilators, anesthesia machines, and other ventilation equipment that can replace spontaneous manual ventilation are now widely used in respiratory failure, respiratory therapy, and emergency resuscitation, occupying a very important position in the field of modern medicine. When providing mechanical ventilation, patient-ventilator asynchrony is one of the most common complications. Patient-ventilator asynchrony leads to increased respiratory work and oxygen consumption, and may also increase circulatory burden, myocardial ischemia and hypoxia, inducing heart failure and even death.

[0003] To date, the problem of human-machine asynchrony has not been completely solved. The main reason is that the pressure or flow signals used by traditional ventilation equipment to trigger the inhalation or exhalation of air are, on the one hand, lagging behind the patient's muscle response to breathing, and on the other hand, easily affected by external interference, such as large leaks or pipeline delays, which can lead to misidentification as patient breathing and cause human-machine asynchrony. Summary of the Invention

[0004] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. This summary section is not intended to limit the key and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0005] One embodiment of this application provides a method for controlling a ventilation device, including:

[0006] During the process of the ventilation device providing mechanical ventilation to the ventilated object, device signals related to the device controlling the ventilation flow rate in the ventilation device are acquired, and ventilation signals are acquired, the ventilation signals including at least one of flow rate signals and pressure signals;

[0007] The trigger sensitivity for ventilation triggering based on the ventilation signal is determined at least based on the device signal;

[0008] The ventilation trigger signal in the ventilation signal is identified based on the trigger sensitivity.

[0009] When the ventilation trigger signal is detected, the ventilation device is controlled to switch the ventilation state.

[0010] In one embodiment, the device signals include turbine signals associated with the turbine of the ventilation device, and / or valve signals associated with the valves of the ventilation device.

[0011] In one embodiment, the turbine signal includes at least one of the following: turbine speed signal, turbine current signal, turbine voltage signal, turbine power signal, and turbine control signal; the valve signal includes a valve current signal.

[0012] In one embodiment, determining the trigger sensitivity for ventilation triggering based on the ventilation signal, at least based on the device signal, includes:

[0013] Determine the threshold range of the intensity of the device signal, and select a trigger sensitivity corresponding to the threshold range of the intensity of the device signal, wherein the higher the threshold range of the intensity of the device signal, the lower the trigger sensitivity.

[0014] In one embodiment, the threshold range of the intensity of the device signal is either a threshold range greater than a first threshold or a threshold range not greater than the first threshold.

[0015] The step of selecting a trigger sensitivity corresponding to the threshold range of the device signal intensity includes: selecting a first trigger sensitivity when the device signal intensity is greater than the first threshold, and selecting a second trigger sensitivity when the device signal intensity is not greater than the first threshold, wherein the first trigger sensitivity is lower than the second trigger sensitivity.

[0016] In one embodiment, determining the trigger sensitivity for ventilation triggering based on the ventilation signal, at least based on the device signal, includes:

[0017] Determine the threshold range of the rate of change of the device signal, and select a trigger sensitivity corresponding to the threshold range of the rate of change of the device signal, wherein the higher the threshold range of the rate of change of the device signal, the lower the trigger sensitivity.

[0018] In one embodiment, the threshold range of the rate of change of the device signal is either a threshold range greater than a second threshold or a threshold range not greater than the second threshold; the step of selecting the trigger sensitivity corresponding to the threshold range of the rate of change of the device signal includes: when the rate of change of the device signal is greater than the second threshold, selecting a first trigger sensitivity; when the rate of change of the device signal is not greater than the second threshold, selecting a second trigger sensitivity, wherein the first trigger sensitivity is lower than the second trigger sensitivity.

[0019] In one embodiment, determining the trigger sensitivity for ventilation triggering based on the ventilation signal according to the device signal includes:

[0020] The intensity or rate of change of the device signal is converted according to a preset conversion relationship to obtain the trigger sensitivity.

[0021] In one embodiment, the ventilation signal includes a first ventilation signal and a second ventilation signal, wherein the first ventilation signal is the flow rate signal and the second ventilation signal is the pressure signal, or the first ventilation signal is the pressure signal and the second ventilation signal is the flow rate signal;

[0022] The step of determining the trigger sensitivity for ventilation triggering based on the ventilation signal at least according to the device signal includes: determining the trigger sensitivity of the second ventilation signal according to the device signal and the first ventilation signal;

[0023] The step of identifying the ventilation trigger signal in the ventilation signal based on the trigger sensitivity includes: identifying the ventilation trigger signal in the second ventilation signal based on the trigger sensitivity of the second ventilation signal.

[0024] In one embodiment, determining the trigger sensitivity of the second ventilation signal based on the device signal and the first ventilation signal includes:

[0025] The device signal and the first ventilation signal are input into the intelligent algorithm to obtain the ventilation trigger probability output by the intelligent algorithm;

[0026] Determine the trigger sensitivity of the second ventilation signal corresponding to the ventilation trigger probability.

[0027] In one embodiment, the intelligent algorithm includes a fuzzy algorithm, a neural network, or a machine learning algorithm.

[0028] A second aspect of this application provides a method for controlling a ventilation device, comprising:

[0029] During the process of the ventilation device providing mechanical ventilation to the ventilated object, device signals related to the device controlling the ventilation flow rate in the ventilation device are acquired, and ventilation signals are acquired, the ventilation signals including at least one of flow rate signals and pressure signals;

[0030] The ventilation trigger time is identified based on the device signal and the ventilation signal;

[0031] When the ventilation trigger moment is detected, the ventilation device is controlled to switch the ventilation state.

[0032] In one embodiment, the device signals include turbine signals associated with the turbine of the ventilation device, and / or valve signals associated with the valves of the ventilation device.

[0033] In one embodiment, the turbine signal includes at least one of the following: turbine speed signal, turbine current signal, turbine voltage signal, turbine power signal, and turbine control signal; the valve signal includes a valve current signal.

[0034] In one embodiment, identifying the ventilation trigger time based on the device signal and the ventilation signal includes:

[0035] Among multiple threshold ranges set for the device signal, a first threshold range corresponding to the device signal is determined;

[0036] Among the multiple threshold ranges set for the ventilation signal, a second threshold range corresponding to the ventilation signal is determined;

[0037] When the combination of the first threshold range and the second threshold range meets the preset requirements, the current time is determined as the ventilation trigger time.

[0038] In one embodiment, determining the current moment as the ventilation trigger moment when the combination of the first threshold range and the second threshold range meets a preset requirement includes:

[0039] Determine the ventilation trigger probability corresponding to the first threshold range and the second threshold range;

[0040] When the ventilation trigger probability is greater than a preset threshold, the current time is determined as the ventilation trigger time.

[0041] In one embodiment, the first threshold range corresponding to the device signal is either the first threshold range corresponding to the intensity of the device signal or the first threshold range corresponding to the rate of change of the device signal; the second threshold range corresponding to the ventilation signal is either the second threshold range corresponding to the intensity of the ventilation signal or the second threshold range corresponding to the rate of change of the ventilation signal.

[0042] In one embodiment, identifying the ventilation trigger time based on the device signal and the ventilation signal includes:

[0043] The device signal and the ventilation signal are input into the intelligent algorithm to obtain the ventilation trigger probability at the current moment output by the intelligent algorithm.

[0044] When the ventilation trigger probability at the current moment is higher than a preset threshold, the current moment is determined to be the ventilation trigger moment.

[0045] A third aspect of this application provides a ventilation device, the ventilation device comprising:

[0046] A breathing circuit, wherein the breathing circuit is used to deliver gas supplied by a gas source to the ventilated object for mechanical ventilation, and the breathing circuit includes a device for controlling the airflow rate;

[0047] Sensors are used to acquire ventilation signals during the mechanical ventilation process, the ventilation signals including at least one of flow signals and pressure signals;

[0048] A processor, connected to the device controlling the airflow and the sensor, is used to perform the method of controlling the ventilation device as described above.

[0049] The method and ventilation device for controlling the ventilation device in this application embodiment adjust the sensitivity of ventilation triggering based on device signals related to the device controlling the ventilation flow rate in the ventilation device. By adjusting the sensitivity, false triggering caused by various interferences is prevented, thereby improving human-machine synchronization performance. Attached Figure Description

[0050] The above and other objects, features, and advantages of this application will become more apparent from the more detailed description of the embodiments of this application in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of this application and form part of the specification. They are used together with the embodiments of this application to explain this application and do not constitute a limitation thereof. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0051] Figure 1 A schematic flowchart illustrating a method for controlling a ventilation device according to an embodiment of this application is shown.

[0052] Figure 2 A schematic diagram showing ventilation signals and device signals according to an embodiment of this application is provided.

[0053] Figure 3 A schematic flowchart illustrating a method for controlling a ventilation device according to another embodiment of this application;

[0054] Figure 4 A schematic block diagram of a ventilation device according to an embodiment of this application is shown. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this application more apparent, exemplary embodiments according to this application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein. Based on the embodiments of this application described herein, all other embodiments obtained by those skilled in the art without inventive effort should fall within the protection scope of this application.

[0056] The following description provides numerous specific details to offer a more thorough understanding of this application. However, it will be apparent to those skilled in the art that this application can be practiced without one or more of these details. In other instances, certain technical features well-known in the art have not been described to avoid confusion with this application.

[0057] It should be understood that this application can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. Rather, providing these embodiments will make the disclosure thorough and complete, and will fully convey the scope of this application to those skilled in the art.

[0058] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. When used herein, the singular forms “a,” “an,” and “the” are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising” and / or “including,” when used in this specification, identify the presence of the stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups. When used herein, the term “and / or” includes any and all combinations of the associated listed items.

[0059] To fully understand this application, a detailed structure will be presented in the following description to illustrate the technical solution proposed in this application. Optional embodiments of this application are described in detail below; however, in addition to these detailed descriptions, this application may have other implementation methods.

[0060] The method for controlling a ventilation device according to an embodiment of this application will now be described with reference to the accompanying drawings. First, refer to... Figure 1 , Figure 1 This is a schematic flowchart of a method 100 for controlling a ventilation device according to an embodiment of this application. Figure 1 As shown, a method 100 for controlling a ventilation device according to an embodiment of this application includes the following steps:

[0061] In step S110, during the process of the ventilation device providing mechanical ventilation to the ventilated object, a device signal related to the device controlling the ventilation flow rate in the ventilation device is acquired, and a ventilation signal is acquired, which includes at least one of a flow rate signal and a pressure signal.

[0062] In step S120, at least the trigger sensitivity for triggering ventilation based on the ventilation signal is determined according to the device signal;

[0063] In step S130, the ventilation trigger signal in the ventilation signal is identified according to the trigger sensitivity;

[0064] In step S140, when the ventilation trigger signal is detected, the ventilation device is controlled to switch the ventilation state.

[0065] The method 100 for controlling a ventilation device according to the embodiments of this application is implemented in the process of the ventilation device providing mechanical ventilation to the ventilation object. The trigger sensitivity of ventilation trigger is determined according to the device signal. By fusing and judging multiple signals, the accuracy of ventilation trigger can be improved and the human-machine synchronization performance of the ventilation device can be improved.

[0066] The ventilation equipment can be a device that provides mechanical ventilation to a patient, specifically a patient who requires ventilation due to respiratory failure or difficulty breathing independently. When the patient's respiratory system is unable to perform normal spontaneous breathing, mechanical ventilation is provided through the ventilation equipment to offer respiratory support. The ventilation equipment in this application can be a ventilator, anesthesia machine, or other medical device with mechanical ventilation capabilities.

[0067] Mechanical ventilation using a ventilation device involves four stages to complete one respiratory cycle: inspiratory triggering (the device begins delivering air), the inspiratory phase (the air delivery process), expiratory switching (the end of air delivery), and the expiratory phase. Inspiratory triggering occurs when the patient inhales, causing a change in airway pressure or flow rate. The ventilation device senses this inhalation and begins delivering air. Higher inspiratory trigger sensitivity allows the device to detect the patient's spontaneous breathing effort more quickly, and reduces the work of breathing required for inspiratory triggering. However, higher sensitivity also increases the likelihood of false triggering. Similarly, expiratory switching occurs when the patient exhales, and the device senses this exhalation and stops delivering air. The ventilation triggering described in this application may include either inspiratory triggering or expiratory switching.

[0068] In some embodiments, the ventilation device may include a non-invasive ventilator, which provides mechanical ventilation to the patient using non-invasive ventilation. Compared to invasive ventilation, non-invasive ventilation typically uses a mask with a leak hole, resulting in greater leakage. Furthermore, patients receiving non-invasive ventilation are usually conscious, exert strong respiratory effort, and may cough or move, leading to various disturbances in the pressure or flow signals of the tubing, affecting the accuracy of ventilation triggering. The embodiments of this application adjust the trigger sensitivity of the ventilation trigger in real time based on the device signal, which can reduce false triggering during non-invasive ventilation.

[0069] In step S110, the ventilation signals acquired during mechanical ventilation are signals that reflect the spontaneous breathing state of the ventilated subject, specifically including at least one of flow rate and pressure signals. The flow rate signal can be either the inhaled flow rate or the expiratory flow rate, and the pressure signal can be either the pressure signal at the ventilated subject's end or the pressure signal at the ventilation device's end.

[0070] In this embodiment, ventilation triggering based on flow rate signals is called flow rate triggering, and ventilation triggering based on pressure signals is called pressure triggering. For example, flow rate triggering includes, but is not limited to, detecting the airflow velocity at the inlet and outlet ends of the breathing circuit using a flow rate sensor, and detecting ventilation triggering based on the difference in airflow velocity at both ends. Pressure triggering includes, but is not limited to, detecting airway pressure using a pressure sensor; when the ventilated subject inhales, the pressure decreases, and when the pressure change is detected, air delivery is initiated, thereby completing synchronized inspiration. Since leakage changes and tubing vibrations often occur during ventilation, identifying ventilation triggering solely based on flow rate or pressure signals can easily lead to misjudgment. Therefore, this embodiment acquires device signals related to the devices controlling the airflow volume in the ventilation equipment during ventilation to adjust the sensitivity of inspiration triggering and expiratory switching.

[0071] Devices controlling airflow in ventilation equipment may include turbines. A turbine generally refers to a centrifugal air compressor, whose working principle involves controlling the turbine's rotational speed. By changing the rotational speed, the turbine's output pressure is adjusted, thereby regulating the airflow velocity. Specifically, the pressure difference can be obtained from the target pressure corresponding to the target flow rate and the real-time pressure corresponding to the real-time flow rate. Based on the real-time pressure and the pressure difference, the target rotational speed of the turbine motor can be determined. The turbine motor is then controlled to operate at the target rotational speed, thus achieving the target flow velocity corresponding to the target pressure.

[0072] Device signals related to devices controlling airflow can be device control signals, i.e., signals output by the processor to the device; signals from devices controlling airflow can also be signals fed back from the device to the processor. For example, turbine signals include at least one of the following: turbine speed signal, turbine current signal, turbine voltage signal, turbine power signal, and turbine control signal.

[0073] Devices controlling ventilation flow in ventilation equipment can also include valves that control the flow rate. Valves controlling flow rate include proportional valves and large-diameter valves. These valves are generally electrically controlled; the ventilation equipment controls valve movement by adjusting the valve's drive current or voltage, thereby regulating the flow rate within the ventilation line by changing the valve's opening. During the inspiratory phase, the valve opening is increased to increase the gas flow rate, and during the expiratory phase, the valve opening is decreased to decrease the gas flow rate. The valve's signals primarily include the current signal controlling the valve; optionally, the valve's signals may also include the valve's opening degree signal.

[0074] In step S120, the trigger sensitivity for ventilation triggering based on the ventilation signal is determined at least based on the device signal. This improves the accuracy of the trigger sensitivity and enables automatic adjustment of the trigger sensitivity without requiring manual adjustment by the user. In some embodiments, the device signal can be preprocessed, such as by low-pass filtering, before determining the trigger sensitivity for ventilation triggering to reduce noise interference.

[0075] As described above, an increase in flow rate or a decrease in pressure is considered an inspiratory trigger. With high trigger sensitivity, even a small increase in flow rate or decrease in pressure is sufficient to determine an inspiratory trigger; conversely, with low trigger sensitivity, a significant increase in flow rate or decrease in pressure is required for an inspiratory trigger. Different trigger sensitivities correspond to different trigger thresholds, which can take various forms, including but not limited to the magnitude of the flow rate signal, the magnitude of the pressure signal, the rate of change of the flow rate signal, and the rate of change of the pressure signal.

[0076] like Figure 2 As shown, the device signal exhibits different states at different stages of the respiratory cycle. Significant changes occur after the transition from inspiration to expiration and vice versa, while the signal tends to stabilize at the end of the inspiration and expiration phases. Therefore, when the device signal stabilizes, it indicates the end of the inspiration or expiration phase, and the sensitivity of the inspiration and expiration triggers should be increased to accurately identify the timing of the respiratory transition. Conversely, when the device signal changes drastically, it indicates that the respiratory phase transition has just been completed, and the sensitivity of the inspiration and expiration triggers can be reduced to decrease the possibility of false triggering. On the other hand, interference signals can also cause drastic changes in the device signal; therefore, reducing the sensitivity when the device signal changes significantly can prevent false triggering.

[0077] Based on the above principles, in some embodiments, the trigger sensitivity can be selected according to the strength of the device signal. Specifically, a pre-set correspondence between the threshold range of the device signal strength and the trigger sensitivity is established. During actual operation, the threshold range of the device signal strength can be determined in real time, and the trigger sensitivity corresponding to that threshold range can be selected. Since the trigger sensitivity needs to be reduced when the device signal changes drastically, a higher threshold range indicates a larger amplitude of change, and a lower trigger sensitivity is correspondingly required to avoid false triggering. Conversely, a lower threshold range indicates a smaller amplitude of change, and a higher trigger sensitivity is correspondingly required to accurately identify the ventilation trigger moment.

[0078] The threshold range for the device signal strength includes at least two. Taking two threshold ranges as an example, the first threshold can be used as the dividing point. The threshold range of the device signal strength includes a threshold range greater than the first threshold and a threshold range not greater than the first threshold, corresponding to the first trigger sensitivity and the second trigger sensitivity, respectively. The first trigger sensitivity is lower than the second trigger sensitivity. Specifically, when the device signal strength is greater than the first threshold, i.e., when the device signal strength is high, a relatively lower first trigger sensitivity is selected to reduce false triggering. When the device signal strength is not greater than the first threshold, i.e., when the device signal strength is low, a relatively higher second trigger sensitivity is selected. The above explanation uses two threshold ranges as an example. In other embodiments, the device signal strength may also have more threshold ranges, each corresponding to a trigger sensitivity.

[0079] Because the rate of change of a device signal is relatively large when the signal fluctuates significantly, in some embodiments, the sensitivity of the ventilation trigger can be set based on the rate of change of the device signal. Specifically, a threshold range for the rate of change of the device signal is determined, and a trigger sensitivity corresponding to that threshold range is selected. The higher the threshold range for the rate of change of the device signal (i.e., the more drastic the signal change), the lower the corresponding trigger sensitivity; conversely, the lower the threshold range for the rate of change of the device signal (i.e., the more stable the signal), the higher the corresponding trigger sensitivity.

[0080] The threshold range for the rate of change of the device signal includes at least two parameters. In some embodiments, a second threshold can be used as the dividing point, and the threshold range for the rate of change of the device signal includes a threshold range greater than the second threshold and a threshold range not greater than the second threshold, corresponding to a first trigger sensitivity and a second trigger sensitivity, respectively. The first trigger sensitivity is lower than the second trigger sensitivity. When the rate of change of the device signal is greater than the second threshold, i.e., when the device signal changes drastically, a relatively lower first trigger sensitivity is selected to avoid false triggering; conversely, when the rate of change of the device signal is not greater than the second threshold, i.e., when the device signal is relatively stable, a relatively higher second trigger sensitivity is selected to accurately identify the ventilation trigger moment. The above explanation uses two threshold ranges as an example. In other embodiments, the rate of change of the device signal may also have multiple threshold ranges, each threshold range corresponding to a trigger sensitivity.

[0081] In addition to selecting the corresponding trigger sensitivity based on the threshold range of the device signal intensity or rate of change, in some embodiments, the device signal intensity or rate of change can be converted according to a preset conversion relationship to obtain the trigger sensitivity. This preset conversion relationship may include a preset function, the form of which includes, but is not limited to, linear or higher-order equations.

[0082] Since the ventilation signal itself can reflect the probability of ventilation triggering at the current moment, in addition to determining the trigger sensitivity based on the device signal, the sensitivity when triggering ventilation based on another ventilation signal can be determined by combining the device signal and one ventilation signal. For ease of description, the ventilation signal used to determine the trigger sensitivity is called the first ventilation signal, and the ventilation signal used for ventilation triggering is called the second ventilation signal. The trigger sensitivity of the second ventilation signal is determined based on the device signal and the first ventilation signal, and the ventilation trigger signal in the second ventilation signal is identified based on the trigger sensitivity of the second ventilation signal.

[0083] In the pressure-triggered mode, the first ventilation signal is a flow rate signal, and the second ventilation signal is a pressure signal. This allows the sensitivity of the pressure trigger to be determined by combining the device signal and the flow rate signal. Conversely, in the flow rate-triggered mode, the first ventilation signal is a pressure signal, and the second ventilation signal is a flow rate signal. This allows the sensitivity of the flow rate trigger to be determined by combining the device signal and the pressure signal. Therefore, multiple signals are integrated during the ventilation trigger identification process, further improving the accuracy of the ventilation trigger.

[0084] In some embodiments, determining the trigger sensitivity of the second ventilation signal based on the device signal and the first ventilation signal includes: inputting the device signal and the first ventilation signal into an intelligent algorithm to obtain the ventilation trigger probability output by the intelligent algorithm, and determining the trigger sensitivity of the second ventilation signal corresponding to the ventilation trigger probability based on the correspondence between the ventilation trigger probability and the trigger sensitivity.

[0085] Intelligent algorithms include fuzzy algorithms, neural networks, and machine learning algorithms. Taking fuzzy algorithms as an example, device signals and the first ventilation signal can be used as inputs. Fuzzy logic is used to construct multi-dimensional empirical judgment logic. For example, the smaller the change in the device signal and the larger the change in the first ventilation signal, the higher the corresponding ventilation trigger probability. The trigger probability can include at least two levels, specifically high, medium, and low. A high trigger probability indicates a greater likelihood of ventilation triggering, thus requiring a higher trigger sensitivity to accurately and promptly identify the ventilation trigger signal. Conversely, a low trigger probability indicates a less likely ventilation triggering, thus requiring a lower trigger sensitivity to reduce the possibility of false triggering.

[0086] When using neural networks or machine learning algorithms, during the model training phase, a sample set of device signals and the first ventilation signal can be constructed, and user-labeled "whether ventilation is triggered" tags can be obtained for model training to obtain a trained neural network model or machine learning model. The machine learning model includes, but is not limited to, support vector machines and linear discriminant analysis; the training methods include, but are not limited to, linear regression and gradient descent. The trained neural network model or machine learning model can acquire the input device signals and the first ventilation signal and output the current ventilation trigger probability in real time. For example, after obtaining the ventilation trigger probability, the trigger sensitivity corresponding to the ventilation trigger probability can be determined according to a pre-determined mapping function, or a threshold range in which the ventilation trigger probability falls can be determined, and the trigger sensitivity corresponding to that threshold range can be determined as the currently used trigger sensitivity.

[0087] After determining the current trigger sensitivity, in step S130, the ventilation trigger signal in the ventilation signal is identified according to the trigger sensitivity; and when the ventilation trigger signal is identified, step S140 is executed to control the ventilation equipment to switch the ventilation state.

[0088] It should be noted that the embodiments of this application do not limit the specific method for identifying the ventilation trigger time based on the ventilation signal. For example, when using a pressure triggering method, the ventilation trigger time can be identified based on the magnitude of the pressure signal or the rate of change of the pressure signal. In some embodiments, the ventilation trigger signal can also be identified based on the difference between the measured pressure and the predicted pressure. The predicted pressure can be obtained by fitting the measured pressure. When the difference is greater than the pressure trigger threshold, a pressure trigger signal is identified. When using a flow rate triggering method, the ventilation trigger time can be identified based on the magnitude of the flow rate signal or the rate of change of the flow rate signal. In some embodiments, the ventilation trigger signal can also be identified based on the difference between the measured flow rate and the predicted flow rate. The predicted flow rate can be obtained by fitting the measured flow rate. When the difference is greater than the flow rate trigger threshold, a flow rate trigger signal is identified. In some embodiments, the ventilation trigger signal can also be identified based on both the pressure signal and the flow rate signal. For example, the ventilation trigger signal can be identified based on the cross-correlation signal between the pressure signal and the flow rate signal.

[0089] In addition, since pressure and flow signals may contain interference signals caused by factors such as heartbeat, the pressure or flow signals can be filtered before identifying the ventilation trigger signal based on the pressure or flow signals to remove interference signals.

[0090] Upon detecting a ventilation trigger signal, the current moment is used as the ventilation trigger moment, and the ventilation device is controlled to switch ventilation states. Specifically, if an inspiratory trigger signal is detected during the respiratory phase, the ventilation device is controlled to enter inspiratory mode; if an expiratory switching signal is detected during the expiratory phase, the ventilation device is triggered to enter expiratory mode.

[0091] In summary, the method 100 for controlling a ventilation device according to the embodiments of this application adjusts the sensitivity of ventilation triggering based on device signals related to devices controlling ventilation flow in the ventilation device, thereby improving human-machine synchronization performance.

[0092] Below, for reference Figure 3 A method 300 for controlling a ventilation device according to another embodiment of this application is described. For example... Figure 3 As shown, a method 300 for controlling a ventilation device according to an embodiment of this application includes the following steps:

[0093] In step S310, during the process of the ventilation device providing mechanical ventilation to the ventilated object, a device signal related to the device controlling the ventilation flow rate in the ventilation device is acquired, and a ventilation signal is acquired, wherein the ventilation signal includes at least one of a flow rate signal and a pressure signal.

[0094] In step S320, the ventilation trigger time is identified based on the device signal and the ventilation signal;

[0095] In step S330, when the ventilation trigger time is detected, the ventilation device is controlled to switch the ventilation state.

[0096] The method 300 for controlling a ventilation device according to an embodiment of the present invention combines device signals and ventilation signals to jointly identify the ventilation trigger time, aiming to accurately identify the ventilation trigger time and reduce the problem of false triggering. The ventilation signal includes at least one of a flow rate signal and a pressure signal; the device signal includes at least one of a turbine signal and a valve signal. The device signal may include control signals or sampling signals of the device. Specifically, the turbine signal includes, but is not limited to, turbine speed signals, turbine current signals, turbine voltage signals, turbine power signals, and turbine control signals; the valve signal includes, but is not limited to, a valve current signal.

[0097] The method for identifying the ventilation trigger moment based on device signals and ventilation signals is not limited to the method described in method 100 for controlling ventilation equipment, i.e., determining the trigger sensitivity based at least on the device signals and identifying the ventilation trigger signal in the ventilation signals based on the trigger sensitivity. The method for identifying the ventilation trigger moment based on device signals and ventilation signals may also include the following methods.

[0098] For example, the ventilation trigger moment can be identified based on a threshold-level combination of device signals and ventilation signals. Specifically, among multiple threshold ranges set for device signals, a first threshold range corresponding to the device signals is determined; among multiple threshold ranges set for ventilation signals, a second threshold range corresponding to the ventilation signals is determined; when the combination of the first threshold range and the second threshold range meets a preset requirement, the current moment is determined as the ventilation trigger moment. The multiple threshold ranges set for ventilation signals can include multiple threshold ranges set for pressure signals and multiple threshold ranges set for flow rate signals; the second threshold range corresponding to the ventilation signals can include the second threshold range corresponding to pressure signals and the second threshold range corresponding to flow rate signals. Compared to identifying the ventilation trigger moment solely based on the ventilation signals, multi-parameter fusion judgment based on both ventilation and device signals can more accurately identify the ventilation trigger moment. For example, when identifying ventilation triggers solely based on ventilation signals, the trigger threshold needs to be appropriately increased to avoid false triggering; however, when identifying the ventilation trigger moment jointly based on both ventilation and device signals, the trigger threshold of the ventilation signals can be appropriately decreased due to the added effect of the device signals, thus enabling timely identification of the ventilation trigger moment. Relying solely on ventilation signals for triggering may result in interference signals being mistaken for ventilation trigger signals. However, combining this with auxiliary judgment based on device signals can reduce the problem of false triggering.

[0099] The multiple threshold ranges set for the device signal can be based on the intensity or rate of change of the device signal. The first threshold range corresponding to the device signal can be either the intensity of the device signal or the rate of change of the device signal. Similarly, the multiple threshold ranges set for the ventilation signal can be based on the intensity or rate of change of the ventilation signal. The second threshold range corresponding to the ventilation signal can be either the intensity of the ventilation signal or the rate of change of the ventilation signal.

[0100] For example, different combinations of threshold ranges can be mapped to different ventilation trigger probabilities. For instance, when the first threshold range of the device signal is A1 and the second threshold range of the ventilation signal is B1, the corresponding ventilation trigger probability is 0.5; when the first threshold range of the device signal is A1 and the second threshold range of the ventilation signal is B2, the corresponding ventilation trigger probability is 0.6; when the first threshold range of the device signal is A2 and the second threshold range of the ventilation signal is B2, the corresponding ventilation trigger probability is 0.7, and so on. When the ventilation trigger probability corresponding to the first threshold range and the second threshold range is determined to be greater than a preset threshold, the current moment is determined to be the ventilation trigger moment.

[0101] For example, another method for identifying the ventilation trigger moment based on device signals and ventilation signals includes: inputting the device signals and ventilation signals into an intelligent algorithm, obtaining the ventilation trigger probability at the current moment output by the intelligent algorithm, and determining the current moment as the ventilation trigger moment if the ventilation trigger probability at the current moment is higher than a preset threshold. The intelligent algorithm includes fuzzy algorithms, neural networks, machine learning algorithms, etc. The intelligent algorithm integrates the characteristics of the device signals and ventilation signals, enabling it to output the ventilation trigger probability at the current moment more accurately. The ventilation signals input into the intelligent algorithm may include at least one of pressure signals and flow rate signals. In some embodiments, the turbine signal can be input into the intelligent algorithm along with the pressure signal and flow rate signal to obtain the ventilation trigger probability.

[0102] In summary, the method 300 for controlling a ventilation device according to the embodiments of this application identifies the ventilation trigger time based on the ventilation signal and the device signal related to the device controlling the ventilation flow in the ventilation device, which can improve the accuracy of ventilation triggering and improve the human-machine synchronization performance of the ventilation device.

[0103] Reference Figure 4 This application also provides a ventilation device, including medical devices with ventilation functions such as ventilators and anesthesia machines. The ventilation device is used to replace, control, or alter the physiological breathing of the ventilated subject, improving the subject's respiratory function and reducing respiratory exertion by increasing lung ventilation. The ventilation device 400 can be used to implement the method 100 or method 300 for controlling the ventilation device described above. The following only describes the main functions of the ventilation device 400; other specific details can be found above.

[0104] like Figure 4 As shown, the ventilation device 400 includes a breathing circuit 410, a sensor 420, and a processor 430. The breathing circuit 410 delivers gas supplied by a gas source to the ventilated individual for mechanical ventilation, and includes devices for controlling the flow rate. The sensor 420 acquires ventilation signals during mechanical ventilation, including at least one of a flow rate signal and a pressure signal. The processor 430 is connected to the devices controlling the flow rate in the breathing circuit 410 and the sensor 420, and acquires the ventilation signals collected by the sensor 420, as well as device-related signals, to execute method 100 or method 400 for controlling the ventilation device.

[0105] Specifically, in some embodiments, the breathing circuit 410 may include an inspiratory branch; in other embodiments, the breathing circuit 410 may include an inspiratory branch and an expiratory branch. The inspiratory branch is used to deliver gas supplied by a gas source to the ventilated subject, and the expiratory branch is used to receive gas exhaled by the ventilated subject. The gas supplied by the gas source may include air, oxygen, or an air-oxygen mixture; in some embodiments, the gas may also include aerosol drugs or anesthetics. The gas supplied by the gas source may be, for example, compressed gas supplied by a central gas supply system, high-pressure gas supplied by a gas cylinder, or gas from the environment.

[0106] The device controlling the airflow in the breathing circuit 410 may include a turbine. A turbine generally refers to a centrifugal air compressor, whose working principle is to control the turbine speed; by changing the speed, the output pressure of the turbine is adjusted, thereby regulating the airflow velocity. The device controlling the ventilation flow rate in the breathing circuit 410 may also include valves controlling the airflow in the ventilation equipment. Valves controlling the airflow include proportional valves, large-diameter valves, etc. These valves are generally electrically controlled; the ventilation equipment controls the valve's movement by adjusting the valve's drive current or drive voltage, thereby adjusting the flow rate in the ventilation line by changing the valve's opening. During the inspiratory phase, the valve opening is increased to increase the gas flow rate, and during the expiratory phase, the valve opening is decreased to decrease the gas flow rate.

[0107] The ventilation device 400 also includes a sensor 420, which at least includes a flow rate sensor disposed in the breathing circuit 410 for measuring the flow rate signal of the gas within the breathing circuit. The processor 420 can control the flow rate regulating device based on the flow rate signal detected by the flow rate sensor to achieve precise control of the gas flow rate. The sensor 420 also includes a pressure sensor for detecting pressure signals. The pressure sensor includes a pressure sensor disposed at the connection between the breathing circuit and the ventilated object, and a pressure sensor disposed at the gas source. The sensor 420 may also include other types of sensors such as an oxygen concentration sensor.

[0108] The processor 430 is connected to the device controlling the airflow in the breathing circuit 410 and the sensor 420. It acquires the ventilation signal collected by the sensor 420 and the device signal related to the device. Based on the device signal and the ventilation signal, it identifies the ventilation trigger time and, when the ventilation trigger time is identified, controls the device controlling the airflow in the breathing circuit 410 to switch the ventilation state. The processor 430 can be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), controller, microcontroller, and microprocessor. This embodiment of the application does not limit the specific implementation.

[0109] For example, the ventilation device 400 also includes a display for providing a visual display output to the user. Specifically, the display can be used to provide a visual display interface to the user, including but not limited to a monitoring interface, an operation interface, a parameter setting interface, an alarm interface, etc. For example, the display can be implemented as a touch display or a display with an input panel, that is, the display can be used as an input / output device.

[0110] The ventilation device 400 also includes a memory. The memory stores data about the ventilated object associated with the ventilation device 400. The memory also stores program code, which the processor 430 uses to invoke the program code in the memory to execute the steps of the method for controlling the ventilation device described above. The memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart memory cards, secure digital cards, flash memory cards, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.

[0111] In some embodiments, the ventilation device 400 further includes an alarm module connected to the processor 430, used to output alarm prompts so that medical personnel can perform appropriate rescue measures. The alarm module includes, but is not limited to, alarm lights and alarm speakers. Alarm information can be displayed on a monitor, alerted to medical personnel by flashing alarm lights, or played through an alarm speaker.

[0112] It should be understood that, Figure 4 This is merely an example of the components included in the ventilation device 400 and does not constitute a limitation on the ventilation device 400. The ventilation device 400 may include more than Figure 4More components are shown.

[0113] Although exemplary embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above exemplary embodiments are merely illustrative and are not intended to limit the scope of this application. Various changes and modifications can be made therein by those skilled in the art without departing from the scope and spirit of this application. All such changes and modifications are intended to be included within the scope of this application as claimed in the appended claims.

[0114] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0115] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed.

[0116] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of this application may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0117] Similarly, it should be understood that, in order to streamline this application and aid in understanding one or more of the various inventive aspects, features of this application may sometimes be grouped together in a single embodiment, figure, or description thereof in the description of exemplary embodiments of this application. However, this approach should not be construed as reflecting an intention that the claimed application requires more features than are expressly recited in each claim. Rather, as reflected in the corresponding claims, its inventive point lies in solving the corresponding technical problem with features fewer than all features of a single disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of this application.

[0118] Those skilled in the art will understand that, apart from the mutual exclusion of features, all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or apparatus so disclosed can be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0119] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are intended to be within the scope of this application and form different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0120] The various component embodiments of this application can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some modules in the article analysis device according to the embodiments of this application. This application can also be implemented as an apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such an implementation of this application can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0121] It should be noted that the above embodiments are illustrative of this application and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. This application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0122] The above description is merely a specific embodiment or illustration of the embodiments of this application. The scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. The scope of protection of this application shall be determined by the scope of the claims.

Claims

1. A ventilation device, characterized in that, The ventilation equipment includes: A breathing circuit, which is used to deliver gas supplied by a gas source to the person being ventilated for mechanical ventilation, and the breathing circuit includes a device for controlling the flow rate of the ventilation. Sensors are used to acquire ventilation signals during the mechanical ventilation process, the ventilation signals including at least one of flow signals and pressure signals; A processor, connected to the device controlling the airflow rate and the sensor, is configured to perform the following steps: during the process of the ventilation device providing mechanical ventilation to the ventilated object, acquiring a device signal related to the device controlling the airflow rate in the ventilation device, and acquiring the ventilation signal, the ventilation signal including at least one of a flow rate signal and a pressure signal; The trigger sensitivity for ventilation triggering based on the ventilation signal is determined at least based on the device signal; The ventilation trigger signal in the ventilation signal is identified based on the trigger sensitivity. When the ventilation trigger signal is detected, the ventilation device is controlled to switch the ventilation state.

2. The ventilation device according to claim 1, characterized in that, The device signals include turbine signals related to the turbine of the ventilation equipment, and / or valve signals related to the valves of the ventilation equipment.

3. The ventilation device according to claim 2, characterized in that, The turbine signal includes at least one of the following: turbine speed signal, turbine current signal, turbine voltage signal, turbine power signal, and turbine control signal; the valve signal includes a valve current signal.

4. The ventilation device according to any one of claims 1-3, characterized in that, The step of determining the trigger sensitivity for ventilation triggering based on the ventilation signal, at least according to the device signal, includes: Determine the threshold range of the intensity of the device signal, and select a trigger sensitivity corresponding to the threshold range of the intensity of the device signal, wherein the higher the threshold range of the intensity of the device signal, the lower the trigger sensitivity.

5. The ventilation device according to claim 4, characterized in that, The threshold range of the signal strength of the device is either a threshold range greater than the first threshold or a threshold range not greater than the first threshold. The step of selecting a trigger sensitivity corresponding to the threshold range of the device signal intensity includes: selecting a first trigger sensitivity when the device signal intensity is greater than the first threshold, and selecting a second trigger sensitivity when the device signal intensity is not greater than the first threshold, wherein the first trigger sensitivity is lower than the second trigger sensitivity.

6. The ventilation device according to any one of claims 1-3, characterized in that, The step of determining the trigger sensitivity for ventilation triggering based on the ventilation signal, at least according to the device signal, includes: Determine the threshold range of the rate of change of the device signal, and select a trigger sensitivity corresponding to the threshold range of the rate of change of the device signal, wherein the higher the threshold range of the rate of change of the device signal, the lower the trigger sensitivity.

7. The ventilation device according to claim 6, characterized in that, The threshold range of the rate of change of the device signal is either a threshold range greater than the second threshold or a threshold range not greater than the second threshold; the step of selecting the trigger sensitivity corresponding to the threshold range of the rate of change of the device signal includes: when the rate of change of the device signal is greater than the second threshold, selecting a first trigger sensitivity; when the rate of change of the device signal is not greater than the second threshold, selecting a second trigger sensitivity; wherein the first trigger sensitivity is lower than the second trigger sensitivity.

8. The ventilation device according to any one of claims 1-3, characterized in that, The step of determining the trigger sensitivity for ventilation triggering based on the ventilation signal according to the device signal includes: The intensity or rate of change of the device signal is converted according to a preset conversion relationship to obtain the trigger sensitivity.

9. The ventilation device according to claim 1, characterized in that, The ventilation signal includes a first ventilation signal and a second ventilation signal, wherein the first ventilation signal is the flow rate signal and the second ventilation signal is the pressure signal, or the first ventilation signal is the pressure signal and the second ventilation signal is the flow rate signal; The step of determining the trigger sensitivity for ventilation triggering based on the ventilation signal at least according to the device signal includes: determining the trigger sensitivity of the second ventilation signal according to the device signal and the first ventilation signal; The step of identifying the ventilation trigger signal in the ventilation signal based on the trigger sensitivity includes: identifying the ventilation trigger signal in the second ventilation signal based on the trigger sensitivity of the second ventilation signal.

10. The ventilation device according to claim 9, characterized in that, The step of determining the trigger sensitivity of the second ventilation signal based on the device signal and the first ventilation signal includes: The device signal and the first ventilation signal are input into the intelligent algorithm to obtain the ventilation trigger probability output by the intelligent algorithm; Determine the trigger sensitivity of the second ventilation signal corresponding to the ventilation trigger probability.

11. The ventilation device according to claim 10, characterized in that, The intelligent algorithm includes fuzzy algorithms or machine learning algorithms.

12. A ventilation device, characterized in that, The ventilation equipment includes: A breathing circuit, which is used to deliver gas supplied by a gas source to the person being ventilated for mechanical ventilation, and the breathing circuit includes a device for controlling the flow rate of the ventilation. Sensors are used to acquire ventilation signals during the mechanical ventilation process, the ventilation signals including at least one of flow signals and pressure signals; A processor, connected to the device controlling the airflow rate and the sensor, is configured to perform the following steps: during the process of the ventilation device providing mechanical ventilation to the ventilated object, acquiring a device signal related to the device controlling the airflow rate in the ventilation device, and acquiring the ventilation signal, the ventilation signal including at least one of a flow rate signal and a pressure signal; The ventilation trigger time is identified based on the device signal and the ventilation signal; When the ventilation trigger moment is detected, the ventilation device is controlled to switch the ventilation state; The step of identifying the ventilation trigger time based on the device signal and the ventilation signal includes: Among multiple threshold ranges set for the device signal, a first threshold range corresponding to the device signal is determined; Among the multiple threshold ranges set for the ventilation signal, a second threshold range corresponding to the ventilation signal is determined; When the combination of the first threshold range and the second threshold range meets the preset requirements, the current time is determined as the ventilation trigger time; Alternatively, identifying the ventilation trigger time based on the device signal and the ventilation signal includes: The device signal and the ventilation signal are input into the intelligent algorithm to obtain the ventilation trigger probability at the current moment output by the intelligent algorithm. When the ventilation trigger probability at the current moment is higher than a preset threshold, the current moment is determined to be the ventilation trigger moment.

13. The ventilation device according to claim 12, characterized in that, The device signals include turbine signals related to the turbine of the ventilation equipment, and / or valve signals related to the valves of the ventilation equipment.

14. The ventilation device according to claim 13, characterized in that, The turbine signal includes at least one of the following: turbine speed signal, turbine current signal, turbine voltage signal, turbine power signal, and turbine control signal; the valve signal includes a valve current signal.

15. The ventilation device according to claim 12, characterized in that, The step of determining the current time as the ventilation trigger time when the combination of the first threshold range and the second threshold range meets the preset requirements includes: Determine the ventilation trigger probability corresponding to the first threshold range and the second threshold range; When the ventilation trigger probability is greater than a preset threshold, the current time is determined as the ventilation trigger time.

16. The ventilation device according to claim 12, characterized in that, The first threshold range corresponding to the device signal is the first threshold range corresponding to the intensity of the device signal or the first threshold range corresponding to the rate of change of the device signal; the second threshold range corresponding to the ventilation signal is the second threshold range corresponding to the intensity of the ventilation signal or the second threshold range corresponding to the rate of change of the ventilation signal.

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