Respiration monitoring method and equipment

Abstract

According to the respiration monitoring method and device, the visualization technology is adopted to display the complex respiration state in the form of the intuitive and understandable lung simulation animation, the information obtaining efficiency can be improved, a more comprehensive, accurate and convenient respiration state information obtaining means is provided for medical staff, and the medical staff can obtain the respiration state information more accurately. And potential breathing problems can be found more accurately in an earlier stage.

Description

Technical Field

[0001] The present application relates to the field of medical device technology, and in particular to a respiratory monitoring method and device. Background Art

[0002] Respiratory monitoring is crucial in a variety of clinical scenarios, mainly used to assess lung function, guide treatment, and warn of potential risks.

[0003] Existing respiratory monitoring can usually only perform simple digital monitoring of respiratory parameters. For example, in existing anesthesia machines, only the numerical values ​​of simple respiratory parameters such as tidal volume, respiratory rate, ventilation volume, and airway pressure parameters are usually monitored. Medical staff cannot intuitively and timely grasp the patient's respiratory status. Summary of the Invention

[0004] The present application provides a respiratory monitoring method and device for displaying complex respiratory states in intuitive and easy-to-understand lung simulation animations using visualization technology.

[0005] In a first aspect, the present application provides a respiratory monitoring method, comprising:

[0006] In response to a breathing monitoring instruction for a target subject, displaying a lung simulation animation of the target subject in an interface of a monitoring device;

[0007] In response to changes in the breathing state of the target object, the display effect of the lung simulation animation is changed.

[0008] In a second aspect, the present application provides a respiratory monitoring method, comprising:

[0009] collecting respiratory data of a target object through a sensor, and determining a respiratory state of the target object based on the respiratory data;

[0010] The target object's lung simulation animation is displayed on an interface of a monitoring device, and the display effect of the lung simulation animation is changed according to changes in the target object's respiratory state.

[0011] In a third aspect, the present application provides an anesthesia machine, comprising a sensor and a monitoring device, wherein the sensor is communicatively connected to the monitoring device for collecting respiratory data of a target object; the monitoring device is used to execute the method described in the first aspect or the second aspect.

[0012] In a fourth aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0013] The memory stores computer-executable instructions;

[0014] The processor executes the computer-executable instructions stored in the memory to implement the method according to the first aspect or the second aspect.

[0015] In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect or the second aspect.

[0016] In a sixth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method described in the first aspect or the second aspect.

[0017] The respiratory monitoring method and equipment provided in this application use visualization technology to display complex respiratory states in intuitive and easy-to-understand lung simulation animations, which can improve the efficiency of information acquisition and provide medical staff with a more comprehensive, accurate and convenient means of obtaining respiratory status information, helping to detect potential respiratory problems earlier and more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] Figure 1 A schematic diagram of a scenario of a respiratory monitoring method provided in one embodiment of the present application;

[0020] Figure 2 A flowchart of a respiratory monitoring method provided in one embodiment of the present application;

[0021] Figure 3a ~f is a schematic diagram of lung simulation animation corresponding to different breathing states provided by an embodiment of the present application;

[0022] Figure 4a ~g is a schematic diagram of interfaces corresponding to different respiratory states provided in an embodiment of the present application;

[0023] Figure 5 A schematic diagram showing switching between the numerical values ​​and waveforms of respiratory parameters provided in one embodiment of the present application;

[0024] Figure 6a ~e is a local area state view corresponding to different respiratory states provided by an embodiment of the present application;

[0025] Figure 7 A flowchart of a respiratory monitoring method provided in another embodiment of the present application;

[0026] Figure 8 A schematic diagram of an anesthesia machine provided in one embodiment of the present application;

[0027] Figure 9 A structural diagram of a respiratory monitoring device provided in one embodiment of the present application;

[0028] Figure 10 A structural diagram of an electronic device provided in one embodiment of the present application.

[0029] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0030] 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 the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0031] Existing respiratory monitoring can usually only perform simple digital monitoring of respiratory parameters. For example, in existing anesthesia machines, only the numerical values ​​of simple respiratory parameters such as tidal volume, respiratory rate, ventilation volume, and airway pressure parameters are usually monitored. Medical staff cannot intuitively and timely grasp the patient's respiratory status.

[0032] In order to solve the above technical problems, an embodiment of the present application provides a respiratory monitoring method, which uses visualization technology to display complex respiratory states in intuitive and easy-to-understand lung simulation animations, thereby improving information acquisition efficiency and providing medical staff with a more comprehensive, accurate and convenient means of obtaining respiratory status information, which helps to detect potential respiratory problems earlier and more accurately.

[0033] The specific application scenarios of the embodiment of this application are as follows Figure 1 As shown, the device includes a monitoring device 110 and a sensor 120. The monitoring device 110 can be any device capable of performing respiratory monitoring, such as a monitoring device in an anesthesia machine, a monitoring device in a ventilator, or a device used for respiratory monitoring in other scenarios. The monitoring device 110 is connected to the sensor 120 that collects respiratory data. The sensor 120 includes, but is not limited to, an airflow sensor and an air pressure sensor provided in the respiratory circuit, and multiple electrodes provided on the surface of the chest area. The airflow sensor can be used to collect respiratory airflow velocity and flow, the air pressure sensor can be used to collect airway pressure, and the multiple electrodes can be used to collect voltage distribution in the lungs. The monitoring device 110 has a display device 111, whose interface can display respiratory data, images, charts, etc.

[0034] More specifically, the embodiments of the present application are applicable to various surgical scenarios requiring general anesthesia, and are particularly valuable in scenarios requiring high respiratory monitoring, such as long and complex surgeries, surgeries on elderly patients, and surgeries on pediatric patients. The details are as follows:

[0035] 1) Long and complex surgery

[0036] During long and complex surgeries, the patient's respiratory status may change dynamically due to various factors, including surgical position, anesthetic drug metabolism, and surgical manipulation stimulation. This application can continuously and stably monitor the patient's respiratory status and promptly detect minor abnormal changes, providing real-time basis for medical staff to adjust anesthesia plans and ventilator parameters, ensuring the patient's respiratory stability throughout the operation.

[0037] 2) Surgery for elderly patients

[0038] Elderly patients have poor respiratory tolerance due to factors such as declining lung function and multiple underlying diseases, and their requirements for anesthesia and respiratory management are more stringent. Through the multi-parameter fusion monitoring and visualization display of this application, medical staff can more comprehensively assess the respiratory function reserve of elderly patients, accurately grasp the balance between anesthesia depth and respiratory support, and reduce the risk of postoperative pulmonary complications.

[0039] 3) Surgery on pediatric patients

[0040] Pediatric patients' respiratory systems are not yet fully developed and are extremely sensitive to changes in anesthetic drugs and ventilator parameters. This application's high-precision monitoring and intelligent early warning capabilities can help medical staff more promptly detect abnormal fluctuations in a pediatric patient's respiratory status and make refined adjustments based on the system's recommended intervention plan, ensuring the patient's respiratory safety during surgery.

[0041] In summary, this invention significantly improves the quality and safety of patient respiratory management during anesthesia surgery by constructing a comprehensive, in-depth, and intelligent respiratory status monitoring system, and has important clinical promotion significance.

[0042] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0043] Figure 2 This is a flow chart of the respiratory monitoring method provided in an embodiment of the present application. This embodiment provides a respiratory monitoring method, which is executed by a monitoring device. The specific steps of the respiratory monitoring method are as follows:

[0044] S201 : In response to a breathing monitoring instruction for a target object, display a lung simulation animation of the target object in an interface of a monitoring device.

[0045] In this embodiment, the monitoring device can be any device capable of performing respiratory monitoring, such as a monitoring device in an anesthesia machine, a monitoring device in a ventilator, or a device used for respiratory monitoring in other scenarios. The monitoring device is connected to a sensor that collects respiratory data, wherein the sensors include but are not limited to an airflow sensor and an air pressure sensor disposed in the respiratory circuit, and multiple electrodes disposed on the surface of the chest area. The airflow sensor can be used to collect respiratory airflow velocity and flow, the air pressure sensor can be used to collect airway pressure, and the multiple electrodes can be used to collect voltage distribution in the lungs. The monitoring device has a display device, and its interface can display respiratory data, images, charts, etc.

[0046] When respiratory monitoring of the target object is required, a respiratory monitoring instruction can be triggered on the monitoring device, and the monitoring device can display a simulated animation of the target object's lungs in the interface of the monitoring device. The simulated animation of the lungs can reflect the respiratory status of the target object, which may include a virtual lung image of the target object, and of course, virtual images of parts such as the trachea.

[0047] The lung simulation animation may be an initial virtual lung image of the target object generated in advance based on the target object's information. For example, the initial virtual lung image of the target object may be generated based on one or more information such as the target object's gender, age, case, lung imaging data, etc., or the initial virtual lung image of the target object may be generated based on the target object's historical breathing data. Based on the initial virtual lung image of the target object, the virtual lung image may be subsequently changed according to changes in the target object's breathing state to present the effect of the lung simulation animation; or the lung simulation animation of the target object may be directly generated based on the target object's information and the breathing data collected by the sensor.

[0048] S202: In response to a change in the target object's respiratory state, change the display effect of the lung simulation animation.

[0049] In this embodiment, the changes in the respiratory state of the target object can be determined based on the respiratory data collected by the sensor, where the changes in the respiratory state include but are not limited to changes in inhalation and exhalation, changes in compliance, changes in respiratory resistance, changes in spontaneous breathing and non-spontaneous breathing, changes in abnormal respiratory states to be alarmed, etc. Furthermore, the display effect of the lung simulation animation can be changed according to the changes in the respiratory state of the target object to reflect the changes in the respiratory state, thereby realizing the monitoring of the target object's respiratory state through the lung simulation animation.

[0050] Optionally, the display effect of the lung simulation animation is changed according to the change of the respiratory state of the target object, including but not limited to changing the color and / or shape of part or all areas of the lung simulation animation, so that the change of the respiratory state is more vividly and intuitively reflected by the change of the color and / or shape of part or all areas, for example Figure 3a to Figure 3e As shown, different respiratory states are represented by changing the color and / or shape of part or all of the lung area, including but not limited to normal lung, asphyxia, high compliance, low compliance, high resistance, spontaneous breathing, etc. Figure 3a This is a schematic diagram of the lung simulation animation corresponding to the normal lung. Figure 3b Schematic diagram of the lung simulation animation corresponding to suffocation, Figure 3c This is a schematic diagram of the lung simulation animation corresponding to high compliance. Figure 3d This is a schematic diagram of the lung simulation animation corresponding to low compliance and high resistance. Figure 3e This is a schematic diagram of the lung simulation animation corresponding to spontaneous breathing. It should be noted that if the breathing data cannot be obtained from the sensor, the entire lung area can be displayed in a dark (or shaded) manner, for example Figure 3f The following is an illustration with reference to specific embodiments.

[0051] In an optional embodiment, in response to the target object's inhalation or exhalation, the lungs in the lung simulation animation are enlarged or reduced, that is, the exhalation state can be intuitively reflected by reducing the lungs, and the inhalation state can be intuitively reflected by enlarging the lungs.

[0052] In an optional embodiment, the shape of the lung contour in the lung simulation animation is changed in response to a change in the compliance of the target object. Compliance is the change in lung volume caused by a unit pressure change, reflecting the elastic expansion capacity of the lung and thorax. A low compliance reflects that the lung is difficult to expand (such as pulmonary fibrosis, pneumonia, etc.), that is, a hard lung, and a high compliance reflects that the lung is over-expanded (such as emphysema), that is, a soft lung. The compliance can be reflected by the shape of the lung contour in the lung simulation animation. If the compliance is high, the lung contour is soft and collapsed, if the compliance is low, the lung contour is hard and sharp, and if the compliance is normal, the lung contour is plump.

[0053] In an optional embodiment, the color of the trachea in the lung simulation animation is changed in response to changes in the respiratory resistance of the target object. For example, different respiratory resistances correspond to different tracheal colors. When the respiratory resistance is normal, the tracheal color is purple, and when the respiratory resistance is large, the tracheal color changes to red.

[0054] In an optional embodiment, in response to the target object's abnormal breathing state to be alarmed, the overall color of the lung simulation animation is changed. That is, if the target object has an abnormal breathing state that requires an alarm, such as certain breathing parameters exceed the normal range, or reach the threshold that requires an alarm, an alarm needs to be triggered, and the overall color of the lung simulation animation can be changed, including changing the overall color of the lungs, and also changing the background color, etc., to ensure that medical staff can quickly detect and take corresponding measures, and can predict possible respiratory risks in advance based on real-time monitoring data, and promptly remind medical staff to take preventive measures, advance the timing of medical intervention, and effectively reduce the incidence of respiratory complications.

[0055] In addition, you can optionally configure different alarm levels, corresponding to different levels of abnormal breathing conditions, and configure different preset colors, such as red for the first level alarm, yellow for the second level alarm, and blue for the third level alarm. In response to the target subject's different levels of abnormal breathing conditions, the overall color of the lung simulation animation changes to the preset color corresponding to the current level. This allows you to quickly determine the level of abnormality through color, reflecting the severity, and then take appropriate measures. In addition, the alarm can also be accompanied by sound and light prompts, which will not be detailed here.

[0056] In an optional embodiment, in response to the autonomous breathing state of the target object, a diaphragm image is displayed below the lungs in the lung simulation animation. In this embodiment, considering that the contraction and relaxation of the diaphragm (diaphragm muscle) are the core power source of autonomous breathing, if the target object is in a state of autonomous breathing, a diaphragm image can be displayed below the lungs in the lung simulation animation. The diaphragm image is also a virtual diaphragm image, which can serve as an illustration of the autonomous breathing state. If the target object is in a non-autonomous breathing state, the diaphragm image will no longer be displayed below the lungs in the lung simulation animation.

[0057] Of course, this embodiment is not limited to changing the color and / or shape. For example, the texture, shadow, transparency, position, etc. can also be changed, and can be configured according to different breathing states.

[0058] On the basis of any of the above embodiments, a status icon of the current breathing state of the target object is displayed in the lung simulation animation or at a preset position around the lung simulation animation. For example, in the case of large compliance, an icon representing large compliance can be displayed; in the case of small compliance, an icon representing small compliance can be displayed; in the autonomous breathing state, an icon of autonomous breathing can be displayed; in the non-autonomous breathing state, an icon representing suffocation can be displayed, and so on. The display position can be in the lung simulation animation, for example, at a specific position in the background area of ​​the lung simulation animation, or it can also be displayed at a preset position around the lung simulation animation, for example, in the upper right corner of the lung simulation animation.

[0059] Based on any of the above embodiments, the numerical values ​​and / or waveforms of the target subject's respiratory parameters are displayed at preset locations around the lung simulation animation. In this embodiment, in order to facilitate medical personnel to view certain specific respiratory parameters in real time, the numerical values ​​and / or waveforms of certain specific respiratory parameters can also be displayed, for example, at preset locations around the lung simulation animation.

[0060] The respiratory parameters whose values ​​can be displayed include but are not limited to compliance (Compl), resistance (Raw), spontaneous respiratory rate (Fspont), C20 / C (an evaluation indicator of diaphragm contraction efficiency), etc. Of course, different respiratory parameters can be configured according to needs. Optionally, if the value of any respiratory parameter exceeds the preset benchmark range, it can be highlighted, for example, using a specific color such as red to prompt medical staff to pay attention to the respiratory parameter. Optionally, when displaying the values ​​of respiratory parameters, a hierarchical layout can be adopted, with important parameters highlighted and secondary parameters arranged in order. Personalized layout can also be used to ensure that medical staff can efficiently obtain key information at different distances, lighting conditions, and on different screens.

[0061] The respiratory parameters that can be displayed in the waveform include but are not limited to the respiratory rate of change, etc. In the waveform of the respiratory rate of change (or respiratory change rate), when the respiratory frequency increases or decreases, the curve will fluctuate, and the amplitude of the fluctuation can reflect the speed of the change in respiratory frequency. When the patient's breathing is stable, the curve will flatten to an approximate straight line. Of course, waveforms of other respiratory parameters can also be included, which will not be elaborated here.

[0062] It should be noted that the above optional embodiments can be combined without conflict, for example Figure 4a The schematic diagrams of various situations provided in ~g can reflect the respiratory state from different dimensions, among which Figure 4a This is a schematic diagram of the interface when compliance and resistance are not detected. Figure 4b This is a schematic diagram of the interface corresponding to normal compliance and resistance. Figure 4c This is a schematic diagram of the interface corresponding to high compliance (soft lung) and normal resistance. Figure 4d This is a schematic diagram of the interface corresponding to low compliance (hard lung) and high resistance. Figure 4e This is the interface diagram corresponding to the suffocation alarm. Figure 4f This is a schematic diagram of the interface corresponding to spontaneous breathing. Figure 4g This is a schematic diagram of the interface corresponding to asphyxiation and excessive compliance. Through comprehensive processing, the synchronous detection of multi-dimensional respiratory parameters corresponding to respiratory status and the assessment of lung recruitability are realized, which complement and verify each other, realizing the leap from single-parameter digital monitoring to multi-dimensional and intuitive monitoring.

[0063] Optionally, considering that the waveform of the respiratory parameter occupies a larger area, while the numerical value of the respiratory parameter occupies a smaller area, the numerical value of the respiratory parameter can be displayed together, and the waveform is independent of the numerical value of the respiratory parameter. By switching operations, such as sliding, clicking, etc., it is possible to switch between displaying the numerical value of the respiratory parameter and displaying the waveform of the respiratory parameter, such as Figure 5 shown.

[0064] Optionally, if the monitoring device is a monitoring device in an anesthesia machine, or a monitoring device in other scenarios, in addition to displaying the above-mentioned lung simulation animation, numerical values ​​and / or waveforms of respiratory parameters, other images and / or data, such as anesthesia-related graphics and data, can also be displayed in the interface of the monitoring device.

[0065] The respiratory monitoring method provided in this embodiment displays a simulated lung animation of the target subject within the monitoring device's interface in response to respiratory monitoring instructions for the target subject. The display of the lung animation changes in response to changes in the target subject's respiratory status. This embodiment utilizes visualization technology to present complex respiratory states in intuitive and understandable lung animations, improving information acquisition efficiency and providing medical staff with a more comprehensive, accurate, and convenient means of acquiring respiratory status information, facilitating earlier and more accurate detection of potential respiratory issues.

[0066] Based on any of the above embodiments, the lung simulation animation also provides some interactive modes, such as scaling, moving, etc.

[0067] In an optional embodiment, in response to an instruction to zoom in on a local area in the lung simulation animation, a local area status view corresponding to the local area is displayed in an interface of the monitoring device according to a current respiratory state of the local area.

[0068] In this embodiment, a local area in the lung simulation animation can be magnified. The magnification operation can be achieved through a two-finger zoom gesture, that is, by sliding two fingers on the local area to be magnified to achieve magnification. Of course, other magnification methods can also be used (such as double-clicking the local area to be magnified, etc.). Furthermore, the current respiratory state of the local area can be determined, and the local area state view corresponding to the local area can be displayed on the interface. The local area state view is a view used to reflect the current respiratory state of the local area. Specifically, it can be one or more of the simulated animation, icon, numerical value of respiratory parameters, waveform diagram, etc. that represent the respiratory state of the local area, for example Figure 6a The following is an illustration of the specific embodiments.

[0069] In an optional embodiment, if the current respiratory state of the local area is normal, the gas exchange animation between the alveoli and the blood is displayed in the interface of the monitoring device, such as the dynamic process of oxygen diffusing into the blood when entering the alveoli from the bronchi, and the dynamic process of carbon dioxide entering the alveoli from the blood and being discharged from the bronchi, as shown in FIG. Figure 6a As shown, it can be shown microscopically that the respiratory state is normal.

[0070] In an optional embodiment, if the compliance is higher than the preset compliance reference range, an image of loss of alveolar elastic recoil and collapse of small bronchi is displayed on the interface of the monitoring device, such as Figure 6b As shown, this image can vividly and intuitively reflect that the compliance is too large. Optionally, since the compliance is for the entire lung, as long as the compliance is too large, no matter which local area in the lung simulation animation is magnified, the image will be displayed.

[0071] In an optional embodiment, if the compliance is lower than the preset compliance reference range, an animation of airway obstruction and gas exchange obstruction between alveoli and blood is displayed in the interface of the monitoring device, such as Figure 6c As shown, this image can vividly reflect that the compliance is too small. Optionally, similarly, as long as the compliance is too small, no matter any local area in the lung simulation animation is magnified, this image will be displayed.

[0072] In an optional embodiment, if the respiratory resistance of a local area is higher than the preset respiratory resistance reference range, an animation showing that the airflow is blocked in the airway and part of the gas is trapped is displayed on the interface of the monitoring device, such as Figure 6d As shown, this image can vividly and intuitively reflect that the respiratory resistance in this local area is relatively high.

[0073] In an optional embodiment, if the recruitability of a local area is poor, an image of the local area is displayed in a target color in the interface of the monitoring device, such as Figure 6e As shown, this image can vividly and intuitively reflect the poor recruitability of the local area. Optionally, if the lung recruitability of a local area is poor, for example, when the alveoli collapse, the electrical impedance of the local area will increase, and the electrical impedance distribution image can be used to determine whether the local area has poor recruitability. If the recruitability is poor, the color of the local area can be changed to a target color, for example, yellow, to indicate poor recruitability. The electrical impedance distribution image can be reconstructed by voltage data collected by multiple electrodes set on the surface of the chest area.

[0074] It should be noted that the above-mentioned various optional embodiments can be combined without conflict to more comprehensively and intuitively reflect the respiratory state of the local area.

[0075] Figure 7 This is a flow chart of the respiratory monitoring method provided in an embodiment of the present application. This embodiment provides a respiratory monitoring method, which is executed by a monitoring device. The specific steps of the respiratory monitoring method are as follows:

[0076] S301, collecting respiratory data of a target object through a sensor, and determining the respiratory state of the target object according to the respiratory data;

[0077] S302: Displaying the target object's lung simulation animation on an interface of a monitoring device, and changing the display effect of the lung simulation animation according to changes in the target object's respiratory state.

[0078] In this embodiment, when it is necessary to perform respiratory monitoring on the target object, the monitoring device can collect the respiratory data of the target object through sensors, where the sensors include but are not limited to airflow sensors and air pressure sensors arranged in the respiratory circuit, multiple electrodes arranged on the surface of the chest area, etc., where the airflow sensor can be used to collect respiratory airflow velocity and flow, the air pressure sensor can be used to collect airway pressure, and multiple electrodes can be used to collect voltage distribution in the lungs, etc.

[0079] Furthermore, the target subject's respiratory state can be determined based on respiratory data. Sensors typically collect relatively basic respiratory data, such as airflow velocity, flow rate, airway pressure, and voltage distribution. However, respiratory state typically needs to be determined based on more advanced respiratory parameters, such as respiratory rate, tidal volume, lung compliance, respiratory resistance, and electrical impedance distribution. Therefore, the basic respiratory data needs to be processed, and the target subject's respiratory state can then be determined based on these advanced respiratory parameters. Optionally, preprocessing can be performed on the respiratory data before processing, including but not limited to normalization and dimensionality unification.

[0080] It should be noted that the present embodiment does not limit the respiratory parameters used, nor does it limit the method for obtaining the respiratory parameters from the respiratory data. Any feasible method may be used.

[0081] 1) Synchronous sampling of raw respiratory signal acquisition and pre-processing sensors

[0082] The embedded system controls the synchronous sampling of airflow, air pressure, and temperature sensors (sampling rate ≥ 200 Hz) to ensure timestamp alignment.

[0083] Optionally, the original signal can be subjected to sliding average filtering (window width 5ms) and low-pass filtering (cut-off frequency 50Hz) to eliminate high-frequency noise and mechanical vibration interference.

[0084] 2) Tidal volume

[0085] Based on the calibration curve of the thermal flow sensor, the airflow velocity signal is converted into real-time gas flow (Q) in L / min. The flow signal is time-integrated to calculate the tidal volume (Vt) of a single respiratory cycle. Tidal volume is the volume of gas inhaled or exhaled during a single breath during quiet breathing. Furthermore, compensation is applied based on real-time airway pressure to ensure accurate results.

[0086] 3) Respiratory phase segmentation

[0087] Respiratory cycle segmentation: Based on the zero-crossing point detection of the flow signal, the inspiratory phase (Q>0) and the expiratory phase (Q<0) are divided, and the accuracy of the segmentation is verified again through the pressure signal.

[0088] Dynamically mark key time points: start of inspiration (Ptinsp_start), peak inspiratory flow (Ppeak), end of expiration (Ptexp_end).

[0089] 4) Respiratory system compliance (Crs)

[0090] In volume-controlled ventilation mode without spontaneous breathing, use the end-inspiratory pause method:

[0091]

[0092] in, represents tidal volume; Indicates plateau pressure, the airway pressure during the end-inspiratory pause (0.3-0.5s), reflecting alveolar pressure; Indicates Positive End-Expiratory Pressure.

[0093] In spontaneous breathing or pressure support mode, the dynamic compliance algorithm is used:

[0094]

[0095] in, represents volume change (tidal volume Vt), Indicates the volume change corresponding to the pressure rise slope in the inspiratory phase.

[0096] 5) Airway resistance (Raw)

[0097] Airway resistance = (Ppeak – Pplat) / Flow

[0098] Where Ppeak represents the peak inspiratory flow rate, Pplat represents the plateau pressure, and Flow represents the flow rate.

[0099] 6) Abnormal state detection and visual mapping

[0100] Suffocation alarm: If there is no effective flow signal for 5 consecutive seconds and the pressure fluctuation is less than 2cmH2O, the alarm will be triggered.

[0101] Spontaneous breathing detection: Identify the patient's spontaneous breathing through tiny fluctuations in the flow signal (FFT analysis of 0.1-0.5Hz frequency band energy).

[0102] Multi-dimensional data fusion visualization: Real-time plotting of pressure-volume loops (PV loops) and flow-volume loops (F-V loops), overlaid with normal reference ranges. Heatmap encoding of resistance distribution (red high-resistance areas correspond to bronchospasm risk).

[0103] Compliance mutation points (such as a sudden drop in Crs caused by pneumothorax) are synchronously marked on the time axis.

[0104] 7) Electrical impedance tomography

[0105] Multiple electrodes are placed on the human body, typically around the chest or lungs. These electrodes apply a safe, low-intensity alternating current, which propagates through tissue and, due to the varying electrical conductivity of different tissues, produces varying voltage distributions across the electrodes. The electrodes measure the voltage distribution within the body and transmit the measured voltage signals to the data acquisition system, which then amplifies and filters these signals to remove noise and interference, improving signal quality.

[0106] Image reconstruction algorithms: The preprocessed voltage data is fed into a computer, where an image reconstruction algorithm reconstructs an image of the body's internal impedance distribution based on the relationship between the voltage distribution and the body's internal impedance (or conductivity) distribution. These algorithms, based on mathematical models, use iterative calculations to continuously optimize the image, ensuring it more accurately reflects the distribution of internal tissue impedance (or conductivity).

[0107] In addition, the nonlinear characteristics of respiratory data can be mined through algorithms such as machine learning, such as calculating respiratory entropy, to assess the patient's respiratory stability.

[0108] Based on the above-mentioned respiratory parameters, the respiratory state of the target object can be determined. For example, the changes in the target object's inhalation and exhalation can be determined based on the respiratory parameters such as respiratory frequency (and can also be combined with respiratory airflow velocity and flow); the changes in the target object's compliance can be determined based on the compliance value, and the compliance can be judged to be normal, too large or too small based on the compliance value. Specifically, the compliance value can be compared with the preset benchmark range of compliance. If it is higher than the preset benchmark range, the compliance is too large; if it is lower than the preset benchmark range, the compliance is too small; if it is within the preset benchmark range, the compliance is normal; the changes in the target object's respiratory resistance can be determined based on the real-time value of the respiratory resistance, and the respiratory resistance can be judged to be normal based on the respiratory resistance value. , too large or too small, specifically, the value of the respiratory resistance can be compared with the preset reference range of the respiratory resistance. If it is higher than the preset reference range, the respiratory resistance is too large; if it is lower than the preset reference range, the respiratory resistance is too small; if it is within the preset reference range, the respiratory resistance is normal; the recruitability can be judged according to the electrical impedance distribution. If the lung recruitability of a certain local area is poor, for example, when the alveoli collapse, the electrical impedance of the local area will increase. Therefore, whether each area has poor recruitability can be determined based on the change in electrical impedance. The high and low changes in electrical impedance can be depicted by color in the electrical impedance distribution diagram, which can intuitively display the effect of lung recruitment and help medical staff adjust the treatment plan in time, such as adjusting the ventilator parameters, etc., to promote lung recruitment. It should be noted that the preset reference range corresponding to the respiratory parameters in the above embodiment can be set by medical staff, or it can be automatically determined based on the information of the target object.

[0109] Based on the above embodiment, a lung simulation animation of the target object can be displayed in the interface of the monitoring device. The lung simulation animation can reflect the respiratory state of the target object, which may include a virtual lung image of the target object, and of course, virtual images of parts such as the trachea. When the respiratory state changes, the display effect of the lung simulation animation needs to be changed to reflect the change in the respiratory state, thereby realizing the monitoring of the target object's respiratory state through the lung simulation animation. The changes in the respiratory state include but are not limited to changes in inspiration and exhalation, changes in compliance, changes in respiratory resistance, changes in spontaneous breathing and non-spontaneous breathing, changes in abnormal respiratory states to be alarmed, etc. Different respiratory states can be distinguished by different display effects.

[0110] Optionally, the display effect of the lung simulation animation is changed according to the change of the respiratory state of the target object, including but not limited to changing the color and / or shape of part or all areas of the lung simulation animation, so that the change of the respiratory state is more vividly and intuitively reflected by the change of the color and / or shape of part or all areas, for example Figure 3aAs shown in Figure 4, different respiratory states are represented by changing the color and / or shape of part or all of the lung area, including but not limited to normal lungs, asphyxia, high compliance, low compliance, high resistance, spontaneous breathing, etc. It should be noted that if respiratory data cannot be obtained from the sensor, the entire lung area can be displayed in a dark color (or shadow, etc.).

[0111] The respiratory monitoring method provided in this embodiment collects the respiratory data of the target subject through a sensor, determines the respiratory status of the target subject based on the respiratory data, displays a lung simulation animation of the target subject in the interface of the monitoring device, and changes the display effect of the lung simulation animation according to changes in the respiratory status of the target subject. In this embodiment, the respiratory status of the target subject is determined based on the respiratory data, and visualization technology is used to display complex respiratory status in an intuitive and easy-to-understand lung simulation animation, which can improve the efficiency of information acquisition and provide medical staff with a more comprehensive, accurate and convenient means of obtaining respiratory status information, which helps to detect potential respiratory problems earlier and more accurately.

[0112] Based on any of the above embodiments, a status icon of the target object's current breathing status may be displayed in the lung simulation animation or at a preset position around the lung simulation animation.

[0113] Based on any of the above embodiments, the numerical values ​​and / or waveforms of the target subject's respiratory parameters can also be displayed at preset locations around the lung simulation animation. Optionally, the numerical values ​​and / or waveforms of the respiratory parameters are transmitted to a visualization display backend, which performs real-time rendering according to preset visualization rules. During the rendering process, multi-threading technology is used to ensure smooth interface updates, and no lag occurs even in high-resolution, high-frame-rate display modes.

[0114] The respiratory parameters whose numerical values ​​can be displayed include but are not limited to compliance (Compl), resistance (Raw), spontaneous respiratory rate (Fspont), C20 / C (an evaluation index of diaphragm contraction efficiency), etc. Of course, different respiratory parameters can be configured according to needs.

[0115] Respiratory parameters that can be displayed as waveforms include, but are not limited to, respiratory rate of change. In the respiratory rate of change waveform (or respiratory rate of change), when the respiratory rate increases or decreases, the curve will fluctuate. The amplitude of the fluctuation can reflect the degree of rapidity of the respiratory rate change. When the patient's breathing is stable, the curve will flatten to an approximate straight line. Optionally, the respiratory rate of change waveform can be obtained through the following process:

[0116] Determine the standard deviation and mean of the real-time respiratory rate in each time window, and determine the coefficient of variation of the respiratory rate in the current time window based on the standard deviation and mean;

[0117] Obtaining the difference in the coefficient of variation of the respiratory frequency in adjacent time windows as the respiratory frequency change rate, and generating a waveform graph of the respiratory frequency change rate;

[0118] The waveform diagram of the respiratory frequency change rate is displayed at a preset position around the lung simulation animation.

[0119] In this embodiment, the flow sensor signal can be used to identify a single respiratory cycle (including inhalation and exhalation) through zero-crossing detection, and the time interval T (seconds) between two adjacent respiratory cycles can be calculated, and then the respiratory rate RR = 60 / T (times / minute) can be calculated;

[0120] Set a sliding time window (for example, 30 seconds), record the respiratory rate RR of each respiratory cycle in the time window, and then calculate the standard deviation SD(RR) and mean value Mean(RR) of the respiratory rate RR in the time window. Determine the coefficient of variation CV of the respiratory rate in the current time window based on the standard deviation and mean value. RR :

[0121]

[0122] Move the time window to the next time window and calculate the coefficient of variation CV of the respiratory rate in the time window in the same way RR ; By analogy, the difference in the coefficient of variation of the respiratory frequency in adjacent time windows can be obtained as the respiratory frequency change rate, and a waveform graph of the respiratory frequency change rate can be generated to reflect respiratory stability. When the respiratory frequency changes increase or decrease, the curve will fluctuate, and the amplitude of the fluctuation can reflect the speed of the respiratory frequency change. When the patient's breathing is stable, the curve will be flat and approximate to a straight line.

[0123] Optionally, the drawing of the waveform of the respiratory rate change rate can adopt double buffering technology because it is refreshed once in a time window. That is, the drawing of the graphics is completed in the memory and then refreshed to the screen at one time, avoiding screen tearing and flickering during the drawing process.

[0124] Based on any of the above embodiments, the abnormal respiratory state of the target subject can be determined based on the respiratory parameters, and a recommended intervention plan can be provided. The specific process can be as follows:

[0125] Determining a preset reference range corresponding to the respiratory parameter according to the information of the target object;

[0126] determining whether the target subject's breathing state is an abnormal breathing state based on the breathing parameter and a corresponding preset reference range;

[0127] If it is determined that the respiratory state of the target object is an abnormal respiratory state, a recommended intervention plan is obtained from a preset intervention plan database based on the type and severity of the abnormal respiratory state, and the recommended intervention plan is displayed in the interface of the monitoring device.

[0128] In this embodiment, the preset reference range corresponding to the respiratory parameter can be configured according to the information of the target object. Specifically, the configuration of the preset reference range of the respiratory parameter can be dynamically set based on a large amount of clinical data and expert consensus, and personalized adjustment can be made in combination with the actual situation of the target object, such as the specific condition of the disease. When the respiratory parameter exceeds the preset reference range, the early warning mechanism can be triggered. Optionally, different alarm levels can be configured. For example, it can be divided into three alarm levels, with the first alarm corresponding to severe abnormality, the second alarm corresponding to moderate abnormality, and the third alarm corresponding to mild abnormality. At the same time, different preset colors can be configured, such as red for the first alarm, yellow for the second alarm, and blue for the third alarm. Then, in response to the different levels of respiratory abnormality of the target object, the overall color of the lung simulation animation is changed to the preset color corresponding to the current level, so that the level of the abnormal state can be quickly determined by color. In addition, it can be combined with sound and light prompts.

[0129] Furthermore, recommended intervention plans can be obtained from the preset intervention plan database based on the type and severity of the abnormal respiratory state. The preset intervention plan database can pre-store recommended intervention plans for various abnormal respiratory states, such as recommended anesthetic drug dosages, optimized ventilator parameters, etc., which can be searched by the type and severity of the abnormal respiratory state to query the corresponding recommended intervention plan; the recommended intervention plan can then be displayed in the interface of the monitoring device, providing medical staff with scientific decision-making references in emergency situations, especially for medical staff with relatively insufficient experience, which can significantly improve their ability to deal with complex situations.

[0130] Based on any of the above embodiments, if the target subject's respiratory state is determined to be abnormal, the current respiratory parameters and lung simulation animation are stored for retrospective analysis. Medical staff can quickly locate the respiratory state at a specific moment by dragging the timeline or marking key events, providing strong data support for postoperative evaluation, medical dispute identification, etc. Optionally, the storage medium uses a hybrid storage solution that combines a high-speed solid-state drive with a large-capacity mechanical hard drive to ensure fast data reading and writing and long-term storage.

[0131] On the basis of any of the above embodiments, some interactive modes may be further provided, such as scaling and moving the lung simulation animation.

[0132] In an optional embodiment, a zoom instruction for a local area in a lung simulation animation is received, and a local area state view corresponding to the local area is displayed in an interface of a monitoring device according to the current respiratory state of the local area. The local area state view is a view used to reflect the current respiratory state of the local area, and specifically can be one or more of a simulation animation, an icon, a numerical value of a respiratory parameter, a waveform diagram, etc., representing the respiratory state of the local area, for example Figure 6a ~e shown.

[0133] Figure 8 The anesthesia machine 800 provided in the embodiment of the present application includes a sensor 801 and a monitoring device 802, wherein the sensor 801 is communicatively connected to the monitoring device 802, and the sensor 801 is used to collect respiratory data of the target object; the monitoring device 802 is used to execute the technical solution of the respiratory monitoring method provided in the above embodiment, and its implementation principle and technical effect are similar, which will not be repeated here. The sensor 801 includes but is not limited to an airflow sensor and an air pressure sensor arranged in the respiratory circuit, a plurality of electrodes arranged on the surface of the chest area, etc., wherein the airflow sensor can be used to collect respiratory airflow velocity and flow, the air pressure sensor can be used to collect airway pressure, and the plurality of electrodes can be used to collect voltage distribution of the lungs, etc. The monitoring device 802 has a display device, and respiratory data, images, charts, etc. can be displayed in its interface. In addition, the monitoring device also has a processor, a memory, a communication interface, etc., which are not limited here. In addition, the anesthesia machine may also have other components, such as an air supply system, an anesthetic drug supply system, etc., which are not limited here.

[0134] Figure 9 This is a structural diagram of the respiratory monitoring device provided in the embodiment of the present application. The respiratory monitoring device provided in this embodiment can execute the processing flow provided in the respiratory monitoring method embodiment, such as Figure 9 As shown, the respiratory monitoring device 900 includes: an acquisition unit 901 and a processing unit 902.

[0135] The acquisition unit is used to receive a breathing monitoring instruction for the target object;

[0136] The processing unit is used to display the target object's lung simulation animation in the interface of the monitoring device; and change the display effect of the lung simulation animation in response to changes in the target object's respiratory state.

[0137] In one or more embodiments of the present application, when the processing unit changes the display effect of the lung simulation animation in response to a change in the respiratory state of the target object, it is configured to:

[0138] In response to changes in the breathing state of the target object, the color and / or shape of a portion or all of the regions in the lung simulation animation are changed.

[0139] In one or more embodiments of the present application, when the processing unit changes the color and / or shape of part or all of the regions in the lung simulation animation in response to a change in the respiratory state of the target object, it is configured to:

[0140] In response to the target subject's inhalation or exhalation, enlarging or reducing the lungs in the lung simulation animation; and / or

[0141] In response to a change in the compliance of the target object, changing the shape of the lung outline in the lung simulation animation; and / or

[0142] In response to changes in the target subject's respiratory resistance, changing the color of the trachea in the lung simulation animation; and / or

[0143] In response to the abnormal breathing state of the target object to be alarmed, changing the overall color of the lung simulation animation; and / or

[0144] In response to the spontaneous breathing state of the target subject, a diaphragm image is displayed below the lungs in the lung simulation animation.

[0145] In one or more embodiments of the present application, when the processing unit changes the overall color of the lung simulation animation in response to the abnormal breathing state of the target object to be alarmed, it is configured to:

[0146] In response to different levels of abnormal breathing conditions of the target object, the overall color of the lung simulation animation is changed to a preset color corresponding to the current level.

[0147] In one or more embodiments of the present application, the processing unit is further configured to:

[0148] Displaying a status icon of the target subject's current breathing status in the lung simulation animation or at a preset position around the lung simulation animation; and / or

[0149] The numerical values ​​and / or waveforms of the target object's respiratory parameters are displayed at preset positions around the lung simulation animation.

[0150] In one or more embodiments of the present application, the processing unit is further configured to:

[0151] In response to an instruction to zoom in on a local area in the lung simulation animation, a local area state view corresponding to the local area is displayed in an interface of the monitoring device according to a current respiratory state of the local area.

[0152] In one or more embodiments of the present application, the processing unit, when displaying the local area state view corresponding to the local area in the interface of the monitoring device according to the current respiratory state of the local area, is configured to:

[0153] If the current respiratory state of the local area is normal, then displaying an animation of gas exchange between alveoli and blood on the interface of the monitoring device; or

[0154] If the compliance is higher than a preset compliance reference range, an image of loss of alveolar elastic recoil and collapse of small bronchi is displayed on the interface of the monitoring device; or

[0155] If the compliance is lower than a preset compliance reference range, an animation of airway obstruction and obstruction of gas exchange between alveoli and blood is displayed on the interface of the monitoring device; or

[0156] If the respiratory resistance of the local area is higher than the preset respiratory resistance reference range, an animation showing that the airflow is blocked in the airway and part of the air is trapped is displayed on the interface of the monitoring device; or

[0157] If the local area has poor expandability, an image of the local area is displayed in a target color in the interface of the monitoring device.

[0158] The respiratory monitoring device of the embodiment of the present application can be used to implement the technical solution of the above-mentioned method embodiment. Its implementation principle and technical effects are similar and will not be repeated here.

[0159] In another embodiment, the respiratory monitoring device provided in this embodiment can execute the processing flow provided in the respiratory monitoring method embodiment. The respiratory monitoring device includes: an acquisition unit and a processing unit.

[0160] The acquisition unit is used to collect the breathing data of the target object through a sensor;

[0161] The processing unit is used to determine the respiratory state of the target object based on the respiratory data; display the lung simulation animation of the target object in the interface of the monitoring device, and change the display effect of the lung simulation animation according to the change of the respiratory state of the target object.

[0162] In one or more embodiments of the present application, when the acquisition unit collects the respiratory data of the target object through the sensor, it is configured to:

[0163] collecting the respiratory airflow velocity and flow of the target subject through an airflow sensor disposed in the respiratory circuit;

[0164] collecting the airway pressure of the target subject through an air pressure sensor provided in a breathing circuit;

[0165] The voltage distribution of the lungs is collected by a plurality of electrodes arranged on the surface of the chest area of ​​the target object.

[0166] In one or more embodiments of the present application, when determining the respiratory state of the target object based on the respiratory data, the processing unit is configured to:

[0167] Determining at least one of the following respiratory parameters of the target subject based on the respiratory data: respiratory rate, tidal volume, lung compliance, respiratory resistance, and electrical impedance distribution;

[0168] The respiratory state of the target object is determined based on the respiratory parameters.

[0169] In one or more embodiments of the present application, when the processing unit changes the display effect of the lung simulation animation according to the change of the respiratory state of the target object, it is configured to:

[0170] According to the change of the breathing state of the target object, the color and / or shape of part or all of the areas in the lung simulation animation are changed.

[0171] In one or more embodiments of the present application, the processing unit is further configured to:

[0172] Determine the standard deviation and mean of the real-time respiratory rate in each time window, and determine the coefficient of variation of the respiratory rate in the current time window based on the standard deviation and mean;

[0173] Obtaining the difference in the coefficient of variation of the respiratory frequency in adjacent time windows as the respiratory frequency change rate, and generating a waveform graph of the respiratory frequency change rate;

[0174] The waveform diagram of the respiratory frequency change rate is displayed at a preset position around the lung simulation animation.

[0175] In one or more embodiments of the present application, the processing unit is further configured to:

[0176] Determining a preset reference range corresponding to the respiratory parameter according to the information of the target object;

[0177] determining whether the target subject's breathing state is an abnormal breathing state based on the breathing parameter and a corresponding preset reference range;

[0178] If it is determined that the respiratory state of the target object is an abnormal respiratory state, a recommended intervention plan is obtained from a preset intervention plan database based on the type and severity of the abnormal respiratory state, and the recommended intervention plan is displayed in the interface of the monitoring device.

[0179] In one or more embodiments of the present application, the processing unit is further configured to:

[0180] If it is determined that the breathing state of the target object is an abnormal breathing state, the current breathing parameters and the lung simulation animation are stored for retrospective analysis.

[0181] In one or more embodiments of the present application, the processing unit is further configured to:

[0182] An instruction to zoom in on a local area in the lung simulation animation is received, and a local area state view corresponding to the local area is displayed in an interface of the monitoring device according to a current respiratory state of the local area.

[0183] The respiratory monitoring device of the embodiment of the present application can be used to implement the technical solution of the above-mentioned method embodiment. Its implementation principle and technical effects are similar and will not be repeated here.

[0184] Figure 10 FIG1 shows a hardware structure diagram of an electronic device provided by an embodiment of the present application. Figure 10 As shown, the electronic device 1000 is used to implement the operations corresponding to the electronic device in any of the above method embodiments. The electronic device 1000 of this embodiment may include: a memory 1001, a processor 1002 and a communication interface 1003.

[0185] Memory 1001 is used to store computer programs. Memory 1001 may include high-speed random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device. It may also be a USB flash drive, a mobile hard drive, a read-only memory, a magnetic disk, or an optical disk.

[0186] Processor 1002 is configured to execute a computer program stored in a memory to implement the methods in the above-described embodiments. For details, please refer to the relevant descriptions in the aforementioned method embodiments. Processor 1002 may be a central processing unit (CPU), or other general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), or the like. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor. The steps of the method disclosed in the present invention may be directly implemented as being executed by a hardware processor, or may be implemented as being executed by a combination of hardware and software modules in the processor.

[0187] Optionally, the memory 1001 can be independent or integrated with the processor 1002. When the memory 1001 is a device independent of the processor 1002, the electronic device 1000 may further include a bus. The bus is used to connect the memory 1001 and the processor 1002. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be divided into address buses, data buses, control buses, etc. For ease of presentation, the buses in the drawings of this application are not limited to only one bus or one type of bus.

[0188] The communication interface 1003 is used to receive or send various instructions and / or data in the above embodiments.

[0189] The electronic device provided in this embodiment can be used to execute the method in the above embodiments. Its implementation method and technical effect are similar, and will not be described in detail in this embodiment.

[0190] In addition, this embodiment further provides a computer-readable storage medium on which a computer program is stored. The computer program is executed by a processor to implement the method described in the above embodiment.

[0191] In addition, this embodiment further provides a computer program product, including a computer program, where the computer program is executed by a processor to implement the method described in the above embodiment.

[0192] In the several embodiments provided in the embodiments of the present 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 schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection of some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0193] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0194] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0195] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., various media that can store program code.

[0196] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0197] The above embodiments are only used to illustrate the technical solutions of the embodiments of the present application, rather than to limit them. Although the embodiments of the present application are described in detail with reference to the above embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some or all of the technical features therein with equivalents. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0198] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0199] It should be understood that the present application is not limited to the exact structure described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A respiratory monitoring method, characterized in that: include: In response to a breathing monitoring instruction for a target subject, displaying a lung simulation animation of the target subject in an interface of a monitoring device; In response to changes in the breathing state of the target object, the display effect of the lung simulation animation is changed.

2. The method according to claim 1, characterized in that Changing the display effect of the lung simulation animation in response to a change in the respiratory state of the target object includes: In response to changes in the breathing state of the target object, the color and / or shape of a portion or all of the regions in the lung simulation animation are changed.

3. The method according to claim 2, characterized in that The step of changing the color and / or shape of a portion or all of the lung simulation animation in response to a change in the target subject's respiratory state includes: In response to the target subject's inhalation or exhalation, enlarging or reducing the lungs in the lung simulation animation; and / or In response to a change in the compliance of the target object, changing the shape of the lung outline in the lung simulation animation; and / or In response to changes in the target subject's respiratory resistance, changing the color of the trachea in the lung simulation animation; and / or In response to the abnormal breathing state of the target object to be alarmed, changing the overall color of the lung simulation animation; and / or In response to the spontaneous breathing state of the target subject, a diaphragm image is displayed below the lungs in the lung simulation animation.

4. The method according to claim 3, characterized in that The step of changing the overall color of the lung simulation animation in response to the abnormal breathing state of the target object to be alarmed comprises: In response to different levels of abnormal breathing conditions of the target object, the overall color of the lung simulation animation is changed to a preset color corresponding to the current level.

5. The method according to any one of claims 1 to 4, characterized in that The method further comprises: Displaying a status icon of the target subject's current breathing status in the lung simulation animation or at a preset position around the lung simulation animation; and / or The numerical values ​​and / or waveforms of the target object's respiratory parameters are displayed at preset positions around the lung simulation animation.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: In response to an instruction to zoom in on a local area in the lung simulation animation, a local area state view corresponding to the local area is displayed in an interface of the monitoring device according to a current respiratory state of the local area.

7. The method according to claim 6, characterized in that The step of displaying a local area state view corresponding to the local area in an interface of the monitoring device according to the current respiratory state of the local area includes: If the current respiratory state of the local area is normal, then displaying an animation of gas exchange between alveoli and blood on the interface of the monitoring device; or If the compliance is higher than a preset compliance reference range, an image of loss of alveolar elastic recoil and collapse of small bronchi is displayed on the interface of the monitoring device; or If the compliance is lower than a preset compliance reference range, an animation of airway obstruction and obstruction of gas exchange between alveoli and blood is displayed on the interface of the monitoring device; or If the respiratory resistance of the local area is higher than the preset respiratory resistance reference range, an animation showing that the airflow is blocked in the airway and part of the air is trapped is displayed on the interface of the monitoring device; or If the local area has poor expandability, an image of the local area is displayed in a target color in the interface of the monitoring device.

8. A respiratory monitoring method, characterized in that: include: collecting respiratory data of a target object through a sensor, and determining a respiratory state of the target object based on the respiratory data; The target object's lung simulation animation is displayed on an interface of a monitoring device, and the display effect of the lung simulation animation is changed according to changes in the target object's respiratory state.

9. The method according to claim 8, characterized in that The collecting of respiratory data of the target object by the sensor includes: collecting the respiratory airflow velocity and flow of the target subject through an airflow sensor disposed in the respiratory circuit; collecting the airway pressure of the target subject through an air pressure sensor provided in a breathing circuit; The voltage distribution of the lungs is collected by a plurality of electrodes arranged on the surface of the chest area of ​​the target object.

10. The method according to claim 9, characterized in that Determining the respiratory state of the target object according to the respiratory data includes: Determining at least one of the following respiratory parameters of the target subject based on the respiratory data: respiratory rate, tidal volume, lung compliance, respiratory resistance, and electrical impedance distribution; The respiratory state of the target object is determined based on the respiratory parameters.

11. The method according to claim 10, characterized in that Changing the display effect of the lung simulation animation according to the change of the breathing state of the target object includes: According to the change of the breathing state of the target object, the color and / or shape of part or all of the areas in the lung simulation animation are changed.

12. The method according to claim 10, characterized in that The method further comprises: Determine the standard deviation and mean of the real-time respiratory rate in each time window, and determine the coefficient of variation of the respiratory rate in the current time window based on the standard deviation and mean; Obtaining the difference in the coefficient of variation of the respiratory frequency in adjacent time windows as the respiratory frequency change rate, and generating a waveform graph of the respiratory frequency change rate; The waveform diagram of the respiratory frequency change rate is displayed at a preset position around the lung simulation animation.

13. The method according to claim 10, characterized in that The method further comprises: Determining a preset reference range corresponding to the respiratory parameter according to the information of the target object; determining whether the target subject's breathing state is an abnormal breathing state based on the breathing parameter and a corresponding preset reference range; If it is determined that the respiratory state of the target object is an abnormal respiratory state, a recommended intervention plan is obtained from a preset intervention plan database based on the type and severity of the abnormal respiratory state, and the recommended intervention plan is displayed in the interface of the monitoring device.

14. The method according to claim 13, characterized in that The method further comprises: If it is determined that the breathing state of the target object is an abnormal breathing state, the current breathing parameters and the lung simulation animation are stored for retrospective analysis.

15. The method according to claim 8, characterized in that The method further comprises: An instruction to zoom in on a local area in the lung simulation animation is received, and a local area state view corresponding to the local area is displayed in an interface of the monitoring device according to a current respiratory state of the local area.

16. An anesthesia machine, characterized in that: The method comprises a sensor and a monitoring device, wherein the sensor is communicatively connected to the monitoring device for collecting respiratory data of a target object; and the monitoring device is used to execute the method according to any one of claims 1 to 15.

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