Prompt Information Generation Method and Anesthesia Airway Opening Assistance Device

Abstract

This application is applicable to the technical field of anesthesia airways, and particularly relates to a method for generating prompt information and an anesthesia airway opening assistance device. The method includes: obtaining hot gas information in real time; wherein, the hot gas information includes temperature data and gas flow rate transmitted by an array composed of a plurality of sensors at preset time intervals; obtaining analysis information based on the hot gas information; wherein, the analysis information includes at least one airflow obstruction index corresponding to a specific area in the user's airway and ventilation volume information, the airflow obstruction index reflects the obstruction condition of the specific area in the user's airway, and the ventilation volume information includes left lung ventilation volume and right lung ventilation volume; obtaining prompt information based on the analysis information. The method for generating prompt information provided by the embodiments of this application can improve the problem that when a patient is anesthetized, airway collapse occurs, resulting in airway obstruction and further causing ventilation dysfunction in the patient.

Description

Technical Field

[0001] This application belongs to the technical field of anesthesia airways, and particularly relates to a method for generating prompt information and an anesthesia airway opening assistance device. Background Art

[0002] Anesthesia airway opening technology is one of the core technologies in the field of anesthesiology. Its core goal is to ensure the patency of the patient's airway during surgery or first aid, maintain effective ventilation and oxygenation, and at the same time minimize the risk of complications.

[0003] However, some patients (such as patients with congenital airway malformations, patients with obstructive sleep apnea hypopnea syndrome (OSAHS), etc.) are prone to airway collapse during anesthesia, resulting in obstruction of the airway (oropharynx / laryngopharynx, glottis, trachea, bronchi, etc.), and further leading to ventilation dysfunction in patients. Summary of the Invention

[0004] The embodiments of this application provide a method for generating prompt information and an anesthesia airway opening assistance device, which can improve the problem that airway collapse occurs during anesthesia in patients, resulting in airway obstruction and further leading to ventilation dysfunction in patients.

[0005] In a first aspect, the embodiments of this application provide a method for generating prompt information, which is applied to an anesthesia airway opening assistance device. The anesthesia airway opening assistance device includes a laryngeal mask, a plurality of sensing elements, and a control device. Each of the sensing elements is disposed on the laryngeal mask, and the control device is communicatively connected to each of the sensing elements. The method includes:

[0006] Obtaining hot gas information in real time; wherein, the hot gas information includes temperature data and gas flow rate transmitted by an array composed of a plurality of sensing elements at a preset time interval;

[0007] Obtaining analysis information based on the hot gas information; wherein, the analysis information includes at least one airflow obstruction index and ventilation volume information corresponding to a specific area in the user's airway. The specific area at least includes the oropharyngeal area, the laryngopharyngeal area, and the tracheal area. The airflow obstruction index reflects the obstruction situation of the specific area in the user's airway, and the ventilation volume information includes the ventilation volume of the left lung and the ventilation volume of the right lung;

[0008] Obtaining prompt information based on the analysis information; wherein, the prompt information is used to prompt the doctor.

[0009] The above technical solutions in the embodiments of this application have at least the following technical effects:

[0010] The prompting information generation method provided by the embodiments of the present application first obtains in real time the hot gas information of the temperature data and gas flow rate transmitted by an array composed of multiple sensors at preset time intervals, dynamically monitors the airway state, and timely discovers abnormal changes in temperature or gas flow rate, providing a basis for subsequent steps. Then, based on the hot gas information, analysis information including at least one airflow obstruction index and ventilation volume information corresponding to a specific area in the user's airway is obtained. By analyzing the temperature and gas flow rate data in different areas (oropharynx, laryngopharynx, trachea), the obstruction degree of each part is accurately quantified, and the left and right lung ventilation volumes are calculated in real time to assist the doctor in judging whether the ventilation of both lungs is balanced, providing a basis for subsequent steps. Furthermore, based on the analysis information, prompting information for prompting the doctor is obtained, realizing real-time dynamic intervention, and improving the problem that when the patient is anesthetized, airway collapse causes airway obstruction, and further causes ventilation dysfunction in the patient.

[0011] In a second aspect, the embodiments of the present application provide a prompting information generation system, which is applied to an anesthesia airway opening assistance device. The anesthesia airway opening assistance device includes a laryngeal mask, multiple sensors, and a control device. Each of the sensors is arranged on the laryngeal mask, and the control device is communicatively connected to each of the sensors. The system includes:

[0012] An acquisition unit, configured to acquire hot gas information in real time; wherein, the hot gas information includes temperature data and gas flow rate transmitted by an array composed of multiple sensors at preset time intervals;

[0013] A first analysis unit, configured to obtain analysis information based on the hot gas information; wherein, the analysis information includes at least one airflow obstruction index and ventilation volume information corresponding to a specific area in the user's airway. The specific area at least includes the oropharyngeal area, the laryngopharyngeal area, and the tracheal area. The airflow obstruction index reflects the obstruction condition of the specific area in the user's airway, and the ventilation volume information includes the left lung ventilation volume and the right lung ventilation volume;

[0014] A second analysis unit, configured to obtain prompting information based on the analysis information; wherein, the prompting information is used to prompt the doctor.

[0015] In a third aspect, the embodiments of the present application provide an anesthesia airway opening assistance device, including a laryngeal mask, multiple sensors, and a control device. The control device is communicatively connected to each of the sensors. Each of the sensors is arranged on the laryngeal mask. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the first aspects above is implemented.

[0016] Fourthly, an embodiment of the present application provides a computer-readable storage medium storing a computer program, which when executed by a processor, implements the method described in any one of the above first aspects.

[0017] Fifthly, an embodiment of the present application provides a computer program product, which when running on an anesthesia airway opening assistance device, enables the anesthesia airway opening assistance device to execute the prompt information generation method described in any one of the above first aspects.

[0018] It can be understood that the beneficial effects of the above second to fifth aspects can be referred to the relevant descriptions in the above first aspect, and will not be elaborated here. Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 is a schematic flowchart of the prompt information generation method provided by an embodiment of the present application;

[0021] Figure 2 is a schematic flowchart of step S200 in the prompt information generation method provided by an embodiment of the present application;

[0022] Figure 3 is a schematic flowchart of step S230 in the prompt information generation method provided by an embodiment of the present application;

[0023] Figure 4 is a schematic structural diagram of the prompt information generation system provided by an embodiment of the present application;

[0024] Figure 5 is a schematic structural diagram of the anesthesia airway opening assistance device provided by an embodiment of the present application. Detailed Embodiments

[0025] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0026] It should be understood that, as used in the specification of this application and the appended claims, the term "comprising" indicates the presence of the described features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or their groups.

[0027] It should also be understood that the term "and / or" as used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0028] As used in the specification of this application and the appended claims, the term "if" can be interpreted, depending on the context, as "when", "once", "in response to determining", or "in response to detecting". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" can be interpreted, depending on the context, as meaning "once determined", "in response to determining", "once [the described condition or event] is detected", or "in response to detecting [the described condition or event]".

[0029] In addition, in the description of the specification of this application and the appended claims, the terms "first", "second", "third", etc. are only used for differentiating descriptions and cannot be understood as indicating or implying relative importance.

[0030] The reference to "one embodiment" or "some embodiments" etc. described in the specification of this application means that a specific feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of this application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in another way. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized in another way.

[0031] Anesthesia airway opening technology is one of the core technologies in the field of anesthesiology. Its core goal is to ensure the patency of the patient's airway, maintain effective ventilation and oxygenation during surgery or first aid, and at the same time minimize the risk of complications to the greatest extent.

[0032] However, some patients (such as those with congenital airway malformations, patients with obstructive sleep apnea hypopnea syndrome (OSAHS), etc.) are prone to airway collapse when anesthetized, resulting in obstruction of the airway (such as oropharynx / laryngopharynx, glottis, trachea, and bronchi, etc.), and further leading to ventilation dysfunction in the patient.

[0033] To solve the above problems, an embodiment of the present application provides a method for generating prompt information. In this method, first, hot gas information including temperature data and gas flow rate transmitted by an array composed of multiple sensors at a preset time interval is obtained in real time to dynamically monitor the airway state, timely detect abnormal changes in temperature or gas flow rate, and provide a basis for subsequent steps. Then, analysis information including at least one airflow obstruction index and ventilation volume information corresponding to a specific area in the user's airway is obtained based on the hot gas information. By analyzing the temperature and gas flow rate data in different areas (oropharynx, laryngopharynx, trachea, etc.), the obstruction degree of each part is accurately quantified, and the ventilation volume of the left and right lungs is calculated in real time to assist the doctor in judging whether the ventilation of both lungs is balanced, providing a basis for subsequent steps. Then, prompt information for prompting the doctor is obtained based on the analysis information to achieve real-time dynamic intervention, and improve the problem that the airway collapses during anesthesia, resulting in airway obstruction and further causing ventilation dysfunction in the patient.

[0034] The method for generating prompt information provided by the embodiment of the present application can be applied to an anesthesia airway opening assistance device. At this time, the anesthesia airway opening assistance device is the execution subject of the method for generating prompt information provided by the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the anesthesia airway opening assistance device.

[0035] For example, the anesthesia airway opening assistance device may include a laryngeal mask, multiple sensors, and a control device. The control device is respectively communicatively connected to the laryngeal mask and each sensor. Of course, the control device may also be communicatively connected to each sensor but not to the laryngeal mask. The control device may be a computing device such as a laptop computer or a cloud server, but is not limited thereto. The laryngeal mask is an artificial airway device used to establish ventilation in clinical anesthesia and first aid. For example, the laryngeal mask may be a flexible laryngeal mask, an intubating intelligent laryngeal mask, etc., but is not limited thereto. The laryngeal mask may include a mask body (such as a medical-grade silicone mask body, a plastic mask body, etc.), a catheter (such as an intelligent electronically controlled angle-adjustable catheter, an actively rotating joint-type catheter, etc.), but is not limited thereto. The sensor is a device capable of obtaining temperature and gas flow rate. For example, the sensor may be a temperature sensing device for a double-lumen tracheal catheter, a fiber Bragg grating sensor, etc., but is not limited thereto.

[0036] To better understand the method for generating prompt information provided by the embodiment of the present application, the following provides an exemplary introduction to the specific implementation process of the method for generating prompt information provided by the embodiment of the present application.

[0037] Figure 1 The schematic flowchart of the method for generating prompt information provided by the embodiment of the present application is shown. The method for generating prompt information includes:

[0038] S100, obtaining hot gas information in real time; wherein, the hot gas information includes temperature data and gas flow rate transmitted by an array composed of multiple sensors at a preset time interval.

[0039] It can be understood that the preset time interval can be 0.5 seconds, 0.3 seconds, etc., but is not limited thereto. The arrangement of the sensing elements can be adjusted by the doctor according to the specific situation of the user's airway, or can adopt an annular or grid layout, etc., but is not limited thereto. The way to obtain the hot gas information can be to receive the data transmitted by the array composed of the sensing elements, or to receive the data transmitted by the doctor, etc., but is not limited thereto. Obtaining the hot gas information in real time can dynamically monitor the airway state, timely detect abnormal changes in temperature or gas flow rate, and provide a basis for subsequent steps.

[0040] In a possible implementation manner, the sensing elements are evenly distributed and attached to the surface of the airway catheter of the laryngeal mask and the laryngeal mask, and the distance between the tip of the airway catheter and the mucosal surface of the airway inner wall is greater than 2 mm.

[0041] It can be understood that the sensing element is a device capable of obtaining the temperature and gas flow rate in the user's airway. For example, the sensing element can include a temperature sensing element (such as a micro-thermocouple, an optical fiber temperature sensor, etc.) and a flow rate sensing element (such as a hot film anemometer, a micro differential pressure sensor, etc.), but is not limited thereto. The sensing elements can be evenly distributed and attached to the surface of the airway catheter of the laryngeal mask and the laryngeal mask, or the doctor can separately confirm and paste the positions of the respective sensing elements according to the specific situation of the user. By using the sensing elements to obtain the temperature and gas flow rate data in the user's airway during anesthesia, it provides a basis for subsequent steps. By setting the distance between the tip of the airway catheter and the mucosal surface of the airway inner wall to be greater than 2 mm, mechanical damage can be reduced, the interference of secretions to the sensing elements can be avoided, the measurement error can be prevented from increasing and causing data distortion, and the triggering of laryngeal spasm can be reduced.

[0042] Exemplarily, the brand of the sensing element can be DegreeC, Sensirion, etc., but is not limited thereto. The sampling frequency of the sensing element can be greater than 200 Hz. The sensing elements arranged on the airway catheter can be arranged in a spiral or annular shape around the outer wall of the catheter, or can be arranged by the doctor according to the user's airway condition, etc., but is not limited thereto. The sensing elements arranged on the laryngeal mask can be arranged in an annular or grid shape along the surface of the pharyngeal cavity fitting surface, and can be arranged by the doctor according to the user's airway condition, etc., but is not limited thereto. The distance between each sensor can be 1 mm, 2 mm, or customized by the doctor according to the length of the user's airway, etc., but is not limited thereto.

[0043] S200, obtaining analysis information based on the hot gas information; wherein, the analysis information includes at least one airflow obstruction index and ventilation volume information corresponding to a specific region in the user's airway, the specific region at least includes the oropharyngeal region, the laryngopharyngeal region, and the tracheal region, the airflow obstruction index reflects the obstruction condition of the specific region in the user's airway, and the ventilation volume information includes the left lung ventilation volume and the right lung ventilation volume.

[0044] It can be understood that the way to obtain the analysis information based on the hot gas information can be to first obtain a three-dimensional thermodynamic model based on the hot gas information and divide the oropharyngeal region, laryngopharyngeal region, and tracheal region in the model, and then calculate the airflow obstruction index, left lung ventilation volume, and right lung ventilation volume corresponding to regions such as the oropharyngeal region, laryngopharyngeal region, and tracheal region based on the temperature and gas flow velocity in each region respectively. It can also be to send the hot gas information to the user and then receive the data transmitted by the doctor, etc., but it is not limited to this. Obtaining the analysis information based on the hot gas information can accurately quantify the obstruction degree of each part, and calculate the left and right lung ventilation volumes in real time, assisting the doctor in judging whether the ventilation of both lungs is balanced and providing a basis for the subsequent steps.

[0045] In a possible implementation manner, please refer to Figure 2 , S200, obtaining the analysis information based on the hot gas information, including:

[0046] S210, establishing an airflow heat map based on the hot gas information; wherein, the airflow heat map reflects the temperature change in the airway during the breathing cycle of the user, and each voxel in the airflow heat map corresponds to each sensing element respectively, and the voxel reflects the temperature and gas flow velocity in a partial region of the user's airway.

[0047] Exemplarily, the time required to establish the airflow heat map based on the hot gas information is less than 500 milliseconds.

[0048] It can be understood that the airflow heat map is a three-dimensional space map that can reflect the temperature and airflow distribution in the user's airway according to the data transmitted in real time by each sensing element. The airflow heat map is composed of multiple voxels that reflect partial regions in the user's airway, and each voxel in the airflow heat map corresponds to a sensing element respectively. The breathing cycle is the time interval between the user starting to inhale and starting to inhale next time. Establishing the airflow heat map based on the hot gas information can intuitively display the temperature and gas flow velocity changes in the user's airway in real time, dynamically evaluate the airway resistance in the user's airway, and assist the doctor in diagnosing the user's condition.

[0049] S220, inputting the airflow heat map into a medical segmentation model to obtain region information; wherein, the region information includes the oropharyngeal region, laryngopharyngeal region, tracheal region, left main bronchus region, and right main bronchus region.

[0050] It can be understood that the medical segmentation model is obtained through machine learning training with multiple sets of data. Each set of data in the multiple sets of data includes: at least one airflow heat map, and the regional ranges of the oropharyngeal region, laryngopharyngeal region, tracheal region, left main bronchus region, and right main bronchus region marked manually in the airflow heat map. The oropharyngeal region is from the root of the tongue to the uvula, the laryngopharyngeal region is from the vallecula epiglottica to the glottis, the tracheal region is from below the glottis to the tracheal bifurcation, the left main bronchus region can be from the tracheal bifurcation to the left hilum of the lung, and the right main bronchus region is from the tracheal bifurcation to the right hilum of the lung. Inputting the airflow heat map into the medical segmentation model to obtain regional information can quickly locate the abnormal region in the case of foreign body obstruction or collapse of the airway, assisting the doctor to quickly respond and formulate surgical or treatment plans.

[0051] S230. Based on the regional information, obtain multiple airflow obstruction indices respectively corresponding to each region.

[0052] It can be understood that the range of the airflow obstruction index can be (0, 1). The size of the airflow obstruction index intuitively reflects whether there is an obstruction in the region within the airway. 0 indicates no obstruction, and 1 indicates complete obstruction. The closer the airflow obstruction index is to 0, the lower the degree of gas flow obstruction in the region corresponding to the airflow obstruction index. The closer the airflow obstruction index is to 1, the higher the degree of gas flow obstruction in the region corresponding to the airflow obstruction index. The method of obtaining multiple airflow obstruction indices respectively corresponding to each region based on the regional information can be to calculate the ratio of the number of voxels with a flow velocity less than the preset flow velocity to the total number of voxels in each region to obtain the volume ratio, and then calculate the ratio of the average flow velocity of the voxels with a flow velocity less than the preset flow velocity to the average flow velocity of the voxels with a flow velocity greater than or equal to the preset flow velocity in each region to obtain the flow velocity ratio. Then, weight the volume ratio and flow velocity ratio corresponding to each region respectively to obtain the airflow obstruction index. It can also be to receive the data transmitted by the doctor, etc., but not limited to this. Obtaining multiple airflow obstruction indices respectively corresponding to each region based on the regional information can achieve precise positioning and dynamic quantification of airway obstruction, assist the doctor in diagnosis, and provide a basis for subsequent steps.

[0053] Exemplarily, the time required to obtain multiple airflow obstruction indices respectively corresponding to each region based on the regional information is less than 200 milliseconds.

[0054] In a possible implementation manner, please refer to Figure 2 , S230. Based on the regional information, obtain multiple airflow obstruction indices respectively corresponding to each region, including:

[0055] S231. Mark the voxels with a gas flow velocity continuously less than the preset flow velocity within a preset time period as the suspicious obstruction area, and mark the voxels with a gas flow velocity greater than or equal to the preset flow velocity as the unobstructed area.

[0056] It can be understood that the preset time period can be 3 seconds, 5 seconds, etc., but is not limited thereto. The preset flow rate can be 0.2 m / s, 0.5 m / s, etc., but is not limited thereto. If the flow rate detected by a certain voxel is continuously less than the preset flow rate within the preset time period, it means that there may be an obstruction in the airway area corresponding to the voxel, resulting in a slowdown of the gas flow rate. Dividing each voxel into a suspicious obstruction area and a clear area according to the flow rate can provide a basis for subsequent steps.

[0057] S232. Analyze each area separately. Subtract the total number of voxels in the airflow heat map from the number of voxels in the suspicious obstruction area of each area to obtain the volume ratio corresponding to each area.

[0058] It can be understood that subtracting the total number of voxels in the airflow heat map from the number of voxels in the suspicious obstruction area of each area to obtain the volume ratio corresponding to each area can provide a basis for subsequent steps.

[0059] Exemplarily, assume that the number of voxels in the suspicious obstruction area of a certain area is 8, and the total number of voxels in the airflow heat map is 100. Then the volume ratio corresponding to this area = 8 / 100 = 0.08.

[0060] S233. Calculate the average flow rate of the suspicious obstruction area in each area within the preset time period. After obtaining the suspicious flow rate corresponding to each area, divide each suspicious flow rate by the average flow rate of the clear area within the preset time period to obtain the flow rate ratio corresponding to each area. Then subtract 1 from each flow rate ratio to obtain the flow rate attenuation rate corresponding to each area.

[0061] It can be understood that the method of calculating the average flow rate of the suspicious obstruction area in each area within the preset time period can be to confirm adjacent and connected suspicious obstruction areas as suspicious areas, calculate the average flow rate of each voxel in the suspicious area within the preset time period respectively, and then add up the average flow rates of each voxel in the suspicious area and divide by the number of voxels in the suspicious area to obtain the suspicious flow rate. It can also be to calculate the average flow rate of each voxel marked as a suspicious obstruction area separately within the preset time period to obtain the suspicious flow rate, etc., but is not limited thereto. The method of obtaining the average flow rate of the clear area within the preset time period can be to calculate the average flow rate of each voxel marked as a clear area within the preset time period respectively, and then add up the average flow rates of each voxel marked as a clear area within the preset time period and divide by the number of voxels marked as a clear area to obtain the average flow rate of the clear area within the preset time period. It can also be to receive data transmitted by a doctor, etc., but is not limited thereto. Obtaining the flow rate attenuation rate corresponding to each area means obtaining the flow rate attenuation rate corresponding to the oropharyngeal area, laryngopharyngeal area, tracheal area, left main bronchus area, and right main bronchus area.

[0062] Exemplarily, assume that the preset time period is 3 seconds, the flow velocities in the suspicious occlusion area within the preset time period are 0.2 m / s, 0.15 m / s, and 0.25 m / s respectively, and the flow velocities in the unobstructed area within the preset time period are 0.4 m / s, 0.5 m / s, and 0.4 m / s respectively. Then the suspicious flow velocity = (0.2 + 0.15 + 0.25) / 3 = 0.2 m / s, the average flow velocity in the unobstructed area within the preset time period = (0.4 + 0.5 + 0.4) / 3 = 0.43 m / s (rounded to two decimal places), the flow velocity ratio = 0.2 / 0.43 = 0.47 (rounded to two decimal places), and the flow velocity decay rate = 1 - 0.47 = 0.53.

[0063] S234, respectively multiply the volume proportion corresponding to each area by the preset volume weight and then add the value obtained by multiplying the flow velocity decay rate by the preset flow velocity weight to confirm the airflow obstruction index.

[0064] It can be understood that the preset volume weight can be 0.55, or a value customized by the doctor, etc., but not limited to this. The preset flow velocity weight can be 0.45, or a value customized by the doctor, etc., but not limited to this. The sum of the preset volume weight and the preset flow velocity weight is equal to 1.

[0065] Exemplarily, assume that the preset volume weight is 0.55, the preset flow velocity weight is 0.45, the flow velocity decay rate is 0.5, and the volume proportion is 0.2. Then the airflow obstruction index = 0.2 * 0.55 + 0.5 * 0.45 = 0.335.

[0066] S240, obtain ventilation volume information based on the area information.

[0067] It can be understood that the method of obtaining ventilation volume information based on the area information can be to multiply the gas flow velocity and the voxel cross-sectional area of each voxel in the left main bronchus area and the right main bronchus area in the area information at a certain moment and then multiply by the preset time interval to obtain the single-voxel gas volume, and then add the single-voxel gas volumes corresponding to each voxel in the left main bronchus area and the right main bronchus area to obtain the left lung ventilation volume and the right lung ventilation volume, and then confirm the ventilation volume information as the ventilation volume information, or it can be to receive the data transmitted by the doctor, etc., but not limited to this. Obtaining ventilation volume information based on the area information can provide a basis for subsequent steps.

[0068] In a possible implementation manner, please refer to Figure 2 , S240, obtain ventilation volume information based on the area information, including:

[0069] S241. During the inhalation phase, multiply the gas flow velocity corresponding to each voxel in the left main bronchus region by the cross-sectional area of the voxel and then multiply the result by a preset time interval to obtain a plurality of left voxel ventilation volumes respectively corresponding to the voxels in the left main bronchus region. Then, add up all the left voxel ventilation volumes, and the resulting value is confirmed as the left lung ventilation volume.

[0070] It can be understood that the way to confirm whether the user is in the inhalation phase can be to synchronously monitor the diaphragmatic movement through a strain band wrapped around the chest and abdomen (the abdomen moves outwards during inhalation), or to detect the temperature difference between exhaled and inhaled gases (the air flow temperature is close to the ambient temperature during inhalation and close to the body temperature during exhalation), etc., but it is not limited to this. During the inhalation phase, the alveoli are in the maximum expansion state, and the ventilation volume in the exhalation phase (such as the residual volume) is easily affected by airway resistance. Therefore, calculating the left lung ventilation volume and the right lung ventilation volume during the inhalation phase can improve the accuracy and reliability of the data.

[0071] Exemplarily, assume that the preset time interval is 0.5 s, and there are two voxels in the left main bronchus region. The gas flow velocity corresponding to one voxel is 0.4 m / s, and the cross-sectional area of the voxel is 1 mm². The gas flow velocity corresponding to the other voxel is 0.6 m / s, and the cross-sectional area of the voxel is 1 mm². Then, the left voxel ventilation volume corresponding to one voxel = 0.4 * 1 * 0.5 = 0.2 L, the left voxel ventilation volume corresponding to the other voxel = 0.6 * 1 * 0.5 = 0.3 L, and the left lung ventilation volume = 0.2 + 0.3 = 0.5 L.

[0072] Optionally, the method for calculating the left lung ventilation volume can also be to record the temperature change curves of the left main bronchus region and the right main bronchus region during the respiratory cycle, obtain the temperature change amplitudes of the left main bronchus region and the right main bronchus region during the respiratory cycle according to the temperature change curves respectively, then divide the temperature change amplitude of the left main bronchus region by the sum of the temperature change amplitudes of the left main bronchus region and the right main bronchus region to obtain the left lung ventilation ratio, and then multiply the left lung ventilation ratio by the standard ventilation volume to obtain the left lung ventilation volume. The standard ventilation volume is the sum of the ventilation volumes of the left lung and the right lung of the user or a person with a physical fitness similar to the user in a normal (healthy) state during one respiratory cycle.

[0073] S242. During the inhalation phase, multiply the gas flow velocity corresponding to each voxel in the right main bronchus region by the cross-sectional area of the voxel and then multiply the result by a preset time interval to obtain a plurality of right voxel ventilation volumes respectively corresponding to the voxels in the right main bronchus region. Then, add up all the right voxel ventilation volumes, and the resulting value is confirmed as the right lung ventilation volume.

[0074] It can be understood that after multiplying the gas flow velocity corresponding to each voxel in the right main bronchus region by the voxel cross-sectional area and then multiplying by a preset time interval to obtain a plurality of right voxel ventilation volumes respectively corresponding to each voxel in the right main bronchus region during the inhalation phase, the value obtained by summing all the right voxel ventilation volumes is confirmed as the right lung ventilation volume, which can provide a basis for subsequent steps.

[0075] Exemplarily, assuming that the preset time interval is 0.5 s, and there are two voxels in the right main bronchus region. The gas flow velocity corresponding to one voxel is 0.4 m / s, the voxel cross-sectional area is 1 mm², and the gas flow velocity corresponding to the other voxel is 0.6 m / s, the voxel cross-sectional area is 1 mm². Then, the right voxel ventilation volume corresponding to one voxel = 0.4 * 1 * 0.5 = 0.2 L, the right voxel ventilation volume corresponding to the other voxel = 0.6 * 1 * 0.5 = 0.3 L, and the right lung ventilation volume = 0.2 + 0.3 = 0.5 L.

[0076] S243, confirm the left lung ventilation volume and the right lung ventilation volume as ventilation volume information.

[0077] It can be understood that confirming the left lung ventilation volume and the right lung ventilation volume as ventilation volume information can provide a basis for subsequent steps.

[0078] S250, confirm each airflow obstruction index and the ventilation volume information as analysis information.

[0079] It can be understood that confirming each airflow obstruction index and the ventilation volume information as analysis information can provide a basis for subsequent steps.

[0080] S300, obtain prompt information based on the analysis information; wherein, the prompt information is used to prompt the doctor.

[0081] It can be understood that the way to obtain prompt information based on the analysis information can be to obtain lung function information for prompting the doctor to rotate the tip of the airway catheter based on the ventilation volume information, and obtain obstruction information for prompting the doctor to move the laryngeal mask based on each airflow obstruction index, or to send the analysis information to the doctor and then receive the data transmitted by the doctor, etc., but not limited thereto. Obtaining prompt information for prompting the doctor based on the analysis information can achieve real-time dynamic intervention and improve the problem that the patient's airway collapses during anesthesia, resulting in airway obstruction and further leading to ventilation dysfunction.

[0082] Exemplarily, starting from step S100, obtaining hot gas information, through step S200, obtaining analysis information based on the hot gas information, and then through step S300, the time required to obtain prompt information based on the analysis information is less than 1 second, meeting the clinical first aid requirements.

[0083] In a possible implementation manner, please refer to Figure 3, S300, obtaining a prompt message based on the analysis information, including:

[0084] S310, obtaining pulmonary function information based on the ventilation volume information; wherein, the pulmonary function information is used to prompt the doctor to rotate the tip of the airway catheter.

[0085] It can be understood that the method of obtaining pulmonary function information from the ventilation volume information can be to obtain the left lung ventilation ratio and the right lung ventilation ratio according to the left lung ventilation volume and the right lung ventilation volume, and then obtain the deviation angle reflecting the need to rotate the tip of the airway catheter according to the left lung ventilation ratio and the right lung ventilation ratio. It can also be to send the ventilation volume information to the doctor and then receive the data transmitted by the doctor, etc., but not limited to this. Obtaining pulmonary function information based on the ventilation volume information to prompt the doctor to rotate the tip of the airway catheter can dynamically adjust the direction of the catheter tip, making the airflow preferentially directed to the low ventilation area and avoiding excessive local airway pressure caused by catheter position deviation.

[0086] In a possible implementation manner, please refer to Figure 3 , S310, obtaining pulmonary function information based on the ventilation volume information, including:

[0087] S311, adding the left lung ventilation volume and the right lung ventilation volume to obtain the total ventilation volume.

[0088] It can be understood that adding the left lung ventilation volume and the right lung ventilation volume to obtain the total ventilation volume can provide a basis for subsequent steps.

[0089] Exemplarily, assuming the left lung ventilation volume is 0.3L and the right lung ventilation volume is 0.5L, then the total ventilation volume = 0.3 + 0.5 = 0.8L.

[0090] S312, dividing the left lung ventilation volume by the total ventilation volume, multiplying the obtained value by 100% to obtain the left lung ventilation ratio, and then subtracting the left lung ventilation ratio from 100% to obtain the right lung ventilation ratio.

[0091] It can be understood that calculating the left lung ventilation ratio and the right lung ventilation ratio can provide a basis for subsequent steps.

[0092] Exemplarily, assuming the left lung ventilation volume is 0.3L, the right lung ventilation volume is 0.5L, and the total ventilation volume is 0.8L, then the left lung ventilation ratio = (0.3 / 0.8) * 100% = 37.5%, and the right lung ventilation ratio = 100% - 37.5% = 62.5%.

[0093] S313, if the left lung ventilation ratio or the right lung ventilation ratio is less than the preset ratio, then confirm the left lung ventilation ratio or the right lung ventilation ratio whose reflected value is less than the preset ratio as the adjustment ratio, and then subtract the adjustment ratio from the target ratio to obtain the ratio difference; wherein, the target ratio is the ratio value to which the left lung ventilation ratio or the right lung ventilation ratio needs to be adjusted.

[0094] It can be understood that the preset ratio can be 40%, 35%, etc., but not limited to this. If the ventilation ratio of the left lung or the right lung is less than the preset ratio, it means that the position of the airway catheter has shifted or the side holes of the catheter are blocked by secretions or blood clots, resulting in a sudden drop in the unilateral ventilation volume. Calculating the ratio difference can provide a basis for subsequent steps.

[0095] Exemplarily, assuming that the ventilation ratio of the left lung is 30% and the ventilation ratio of the right lung is 70%, and the target ratio is 45%, then the ventilation ratio of the left lung is confirmed as the adjusted ratio, and the ratio difference = 45% - 30% = 15%.

[0096] S314, the value obtained by dividing the ratio difference by the catheter length and then taking the arctangent function is confirmed as the deviation angle, and the lung function information is obtained to prompt the doctor to rotate the tip of the airway catheter by the deviation angle in the direction of the lung corresponding to the ventilation ratio of the left lung or the right lung whose reflected value is less than the preset ratio.

[0097] It can be understood that rotating the tip of the catheter in the direction of the lung corresponding to the ventilation ratio of the left lung or the right lung whose reflected value is less than the preset ratio can make it closer to the main bronchus opening, reduce the airflow turning resistance, shorten the airflow path, and thus improve the ventilation of the upper lobe of the lung.

[0098] Exemplarily, if the ventilation ratio of the left lung is less than the preset ratio, the lung function information is obtained to prompt the doctor to rotate the tip of the airway catheter by the deviation angle in the direction of the left lung. Assuming that the ratio difference is 18% and the catheter length is 20 cm = 200 mm, then the deviation angle = arctan(18 / 200) ≈ 5.14°.

[0099] S320, obtaining the blockage information based on each airflow blockage index; the blockage information is used to prompt the doctor to move the laryngeal mask.

[0100] It can be understood that the method of obtaining the blockage information based on each airflow blockage index can be to judge whether each airflow blockage index is greater than 0.3, and after confirming the area corresponding to the airflow blockage index greater than 0.3 as the blocked area, obtaining the information to prompt the doctor to move the laryngeal mask according to the blockage situation of the blocked area, or sending each airflow blockage index to the doctor and then receiving the data transmitted by the doctor, etc., but not limited to this. Obtaining the blockage information used to prompt the doctor to move the laryngeal mask based on each airflow blockage index can timely remind the doctor to move the laryngeal mask according to the blockage situation in the airway, and avoid endangering the user's safety due to the long-term blockage of the user's airway.

[0101] In a possible implementation manner, please refer to Figure 3 , S320, obtaining the blockage information based on each airflow blockage index, including:

[0102] S321. Obtain multiple regional obstruction information based on each airflow obstruction index; wherein, the regional obstruction information reflects whether the regions in the specific regions corresponding to the airflow obstruction index are obstructed.

[0103] It can be understood that the way to obtain multiple regional obstruction information based on each airflow obstruction index can be to judge whether each airflow obstruction index is greater than 0.3. After confirming the regions corresponding to the airflow obstruction indices greater than 0.3 as the obstructed regions, obtain the regional obstruction information reflecting that the obstructed regions are obstructed, and obtain the regional obstruction information reflecting that the other regions corresponding to the airflow obstruction indices less than 0.3 are not obstructed.

[0104] In a possible implementation, please refer to Figure 3 , S321. Obtain multiple regional obstruction information based on each airflow obstruction index, including:

[0105] S3211. Respectively judge the magnitudes of each airflow obstruction index. If the airflow obstruction index is less than the judgment value, obtain the regional obstruction information reflecting that the regions corresponding to the airflow obstruction indices less than the judgment value are not obstructed.

[0106] It can be understood that the judgment value can be 0.3, 0.4, etc., but not limited thereto. If the airflow obstruction index is less than the judgment value, it means that the regions corresponding to the airflow obstruction index are not obstructed.

[0107] S3212. If the airflow obstruction index is greater than or equal to the judgment value, obtain the regional obstruction information reflecting that the regions corresponding to the airflow obstruction indices greater than or equal to the judgment value are obstructed.

[0108] It can be understood that if the airflow obstruction index is greater than or equal to the judgment value, it means that the regions corresponding to the airflow obstruction index are obstructed.

[0109] S322. If there is no regional obstruction information reflecting the obstructed regions, obtain the obstruction information prompting the doctor to maintain the current situation.

[0110] It can be understood that if there is no regional obstruction information reflecting the obstructed regions, it means that the user's airway is in a patent state, the placement position of the laryngeal mask is appropriate, and no adjustment is required.

[0111] S323. If there is regional obstruction information reflecting that the oropharyngeal region is obstructed, multiply the absolute value of the value obtained by subtracting 0.5 from the airflow obstruction index corresponding to the oropharyngeal region by the preset moving distance to obtain the forward movement distance, and obtain the laryngeal mask movement instruction prompting the doctor to move the laryngeal mask forward by the forward movement distance.

[0112] It can be understood that the preset moving distance can be 10mm, 5mm, or customized by the doctor according to the user's physical condition, etc., but not limited to this. If there is regional obstruction information indicating that the oropharyngeal region is blocked, it means that the user may have posterior displacement of the tongue root. By calculating the forward movement distance and obtaining a laryngeal mask movement instruction that prompts the doctor to move the laryngeal mask forward (towards the user's head) by the distance reflected by the forward movement distance, the ventilation mask at the front end of the laryngeal mask can directly push against the tongue root, break the fitting state between the tongue body and the posterior pharyngeal wall, form a physical space, and restore airway patency.

[0113] Exemplarily, assuming that the airflow obstruction index corresponding to the oropharyngeal region is 0.8 and the preset moving distance is 10mm, then the forward movement distance = |0.8 - 0.5| * 10 = 3mm, and a laryngeal mask movement instruction that prompts the doctor to move the laryngeal mask forward by 3mm is obtained.

[0114] S324, if there is regional obstruction information indicating that the laryngopharyngeal region is blocked, then a laryngeal mask rotation instruction that prompts the doctor to rotate the laryngeal mask to the right by a preset rotation angle is obtained.

[0115] It can be understood that the preset rotation angle can be 5°, 3°, or customized by the doctor according to the user's physical condition, etc., but not limited to this. If there is regional obstruction information indicating that the laryngopharyngeal region is blocked, it means that the user may have laryngeal spasm or secretions obstruction. Because the right main bronchus is shorter and straighter in its course and has a smaller angle with the tracheal longitudinal axis, when the tip of the airway catheter of the laryngeal mask rotates to the right, the airway catheter forms a better alignment with the anatomical curvature of the right main bronchus, reduces the friction between the catheter and the airway wall, reduces local resistance, and thus improves ventilation efficiency.

[0116] S325, if there is regional obstruction information indicating that the tracheal region is blocked, then a laryngeal mask withdrawal instruction that prompts the doctor to withdraw the laryngeal mask by a preset withdrawal distance and promptly remove secretions is obtained.

[0117] It can be understood that the preset withdrawal distance can be 2cm, 1cm, or customized by the doctor according to the user's physical condition, etc., but not limited to this. If there is regional obstruction information indicating that the tracheal region is blocked, it means that the position of the airway catheter is displaced or there is a phlegm plug affecting. Prompting the doctor to withdraw the laryngeal mask by a preset withdrawal distance can reduce catheter compression, restore bilateral ventilation balance, and avoid airway obstruction caused by improper laryngeal mask position.

[0118] S326, confirm the laryngeal mask movement instruction, laryngeal mask rotation instruction, and laryngeal mask withdrawal instruction as obstruction information.

[0119] It can be understood that confirming the laryngeal mask movement instruction, laryngeal mask rotation instruction, and laryngeal mask withdrawal instruction as obstruction information can provide suggestions for the doctor to control the laryngeal mask.

[0120] S330, confirm the pulmonary function information and obstruction information as prompt information.

[0121] It can be understood that confirming the pulmonary function information and the obstruction information as prompt information can timely remind the doctor, so as to achieve real-time dynamic intervention, and further improve the problem that when the patient is anesthetized, airway collapse occurs, resulting in airway obstruction, and further resulting in ventilation dysfunction of the patient.

[0122] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0123] Corresponding to the prompt information generation method described in the above embodiments, the embodiments of the present application further provide a prompt information generation system, and each unit of the system can implement each step of the prompt information generation method. Figure 5 The block diagram of the prompt information generation system provided by the embodiments of the present application is shown. For the convenience of description, only the parts related to the embodiments of the present application are shown.

[0124] Referring to Figure 5 , the system includes:

[0125] An acquisition unit, configured to acquire hot gas information in real time; wherein, the hot gas information includes temperature data and gas flow rate transmitted by an array composed of a plurality of sensors at preset time intervals.

[0126] A first analysis unit, configured to obtain analysis information based on the hot gas information; wherein, the analysis information includes at least one airflow obstruction index and ventilation volume information corresponding to a specific area in the user's airway, the specific area at least includes the oropharyngeal area, the laryngopharyngeal area and the tracheal area, the airflow obstruction index reflects the obstruction condition of a specific area in the user's airway, and the ventilation volume information includes the left lung ventilation volume and the right lung ventilation volume.

[0127] A second analysis unit, configured to obtain prompt information based on the analysis information; wherein, the prompt information is used to prompt the doctor.

[0128] In some embodiments, the first analysis unit includes:

[0129] A heat map establishment unit, configured to establish an airflow heat map based on the hot gas information; wherein, the airflow heat map reflects the temperature change in the airway during the respiratory cycle of the user, and each voxel in the airflow heat map corresponds to each sensor respectively, and the voxel reflects the temperature and gas flow rate of a partial area in the user's airway.

[0130] A region division unit, configured to input the airflow heat map into a medical segmentation model to obtain region information; wherein, the region information includes the oropharyngeal area, the laryngopharyngeal area, the tracheal area, the left main bronchus area and the right main bronchus area.

[0131] An index calculation unit for obtaining a plurality of airflow obstruction indices respectively corresponding to each region based on region information.

[0132] A ventilation volume calculation unit for obtaining ventilation volume information based on region information.

[0133] A confirmation unit for confirming each airflow obstruction index and ventilation volume information as analysis information.

[0134] In some embodiments, the index calculation unit includes:

[0135] A region marking unit for marking voxels with gas flow velocity continuously less than a preset flow velocity within a preset time period as suspicious obstruction regions, and marking voxels with gas flow velocity greater than or equal to the preset flow velocity as unobstructed regions.

[0136] A volume ratio calculation unit for analyzing each region respectively, subtracting the total number of voxels in the suspicious obstruction regions within each region from the total number of voxels in the airflow heat map to obtain a volume ratio corresponding to each region.

[0137] A flow velocity decay rate calculation unit for calculating the average flow velocity of the suspicious obstruction regions within each region within the preset time period respectively to obtain a suspicious flow velocity corresponding to each region, then dividing each suspicious flow velocity by the average flow velocity of the unobstructed regions within the preset time period respectively to obtain a flow velocity ratio corresponding to each region, and then subtracting 1 from each flow velocity ratio respectively to obtain a flow velocity decay rate corresponding to each region.

[0138] An airflow obstruction index confirmation unit for confirming the value obtained by multiplying the volume ratio corresponding to each region by a preset volume weight and adding the flow velocity decay rate multiplied by a preset flow velocity weight as the airflow obstruction index.

[0139] In some embodiments, the ventilation volume calculation unit includes:

[0140] A left lung ventilation volume calculation unit for, in the inhalation phase, multiplying the gas flow velocity corresponding to each voxel in the left main bronchus region by the voxel cross-sectional area and then multiplying by a preset time interval to obtain a plurality of left voxel ventilation volumes respectively corresponding to each voxel in the left main bronchus region, and then confirming the value obtained by adding up all the left voxel ventilation volumes as the left lung ventilation volume.

[0141] A right lung ventilation volume calculation unit for, in the inhalation phase, multiplying the gas flow velocity corresponding to each voxel in the right main bronchus region by the voxel cross-sectional area and then multiplying by a preset time interval to obtain a plurality of right voxel ventilation volumes respectively corresponding to each voxel in the right main bronchus region, and then confirming the value obtained by adding up all the right voxel ventilation volumes as the right lung ventilation volume.

[0142] The ventilation volume information confirmation unit is used to confirm the left lung ventilation volume and the right lung ventilation volume as ventilation volume information.

[0143] In some embodiments, the second analysis unit includes:

[0144] The lung function analysis unit is used to obtain lung function information based on the ventilation volume information; wherein, the lung function information is used to prompt the doctor to rotate the tip of the airway catheter.

[0145] The obstruction information analysis unit is used to obtain obstruction information based on each airflow obstruction index; the obstruction information is used to prompt the doctor to move the laryngeal mask.

[0146] The prompt information confirmation unit is used to confirm the lung function information and the obstruction information as prompt information.

[0147] In some embodiments, the lung function analysis unit includes:

[0148] The total ventilation volume calculation unit is used to add the left lung ventilation volume and the right lung ventilation volume to obtain the total ventilation volume.

[0149] The ventilation ratio calculation unit is used to multiply the value obtained by dividing the left lung ventilation volume by the total ventilation volume by 100% to obtain the left lung ventilation ratio, and then subtract the left lung ventilation ratio from 100% to obtain the right lung ventilation ratio.

[0150] The ratio difference calculation unit is used to, if the left lung ventilation ratio or the right lung ventilation ratio is less than the preset ratio, confirm the left lung ventilation ratio or the right lung ventilation ratio whose reflected value is less than the preset ratio as the adjusted ratio, and then subtract the adjusted ratio from the target ratio to obtain the ratio difference; wherein, the target ratio is the ratio value to which the left lung ventilation ratio or the right lung ventilation ratio needs to be adjusted.

[0151] The lung function information confirmation unit is used to confirm the value obtained by taking the arctangent function of the value obtained by dividing the ratio difference by the catheter length as the deviation angle, and obtain the lung function information that prompts the doctor to rotate the tip of the airway catheter by the deviation angle in the direction of the lung corresponding to the left lung ventilation ratio or the right lung ventilation ratio whose reflected value is less than the preset ratio.

[0152] In some embodiments, the obstruction information analysis unit includes:

[0153] The regional obstruction information analysis unit is used to obtain multiple regional obstruction information based on each airflow obstruction index; wherein, the regional obstruction information reflects whether the region in the specific region corresponding to the airflow obstruction index is blocked.

[0154] The first obstruction information confirmation unit is used to obtain the obstruction information that prompts the doctor to maintain the current situation if there is no regional obstruction information reflecting blockage.

[0155] The laryngeal mask movement instruction analysis unit is used to, if there is regional obstruction information indicating that the oropharyngeal region is blocked, multiply the absolute value of the value obtained by subtracting 0.5 from the airflow obstruction index corresponding to the oropharyngeal region by a preset movement distance to obtain a forward movement distance, and obtain a laryngeal mask movement instruction for prompting the doctor to move the laryngeal mask forward by the forward movement distance.

[0156] The laryngeal mask rotation instruction analysis unit is used to, if there is regional obstruction information indicating that the laryngopharyngeal region is blocked, obtain a laryngeal mask rotation instruction for prompting the doctor to rotate the laryngeal mask to the right by a preset rotation angle.

[0157] The laryngeal mask retraction instruction analysis unit is used to, if there is regional obstruction information indicating that the tracheal region is blocked, obtain a laryngeal mask retraction instruction for prompting the doctor to retract the laryngeal mask by a preset retraction distance and timely clear the secretions.

[0158] The second obstruction information confirmation unit is used to confirm the laryngeal mask movement instruction, the laryngeal mask rotation instruction, and the laryngeal mask retraction instruction as obstruction information.

[0159] In some embodiments, the regional obstruction information analysis unit includes:

[0160] A judgment unit is used to respectively judge the magnitudes of each airflow obstruction index. If the airflow obstruction index is less than the judgment value, obtain regional obstruction information indicating that the region corresponding to the airflow obstruction index less than the judgment value is not blocked; if the airflow obstruction index is greater than or equal to the judgment value, obtain regional obstruction information indicating that the region corresponding to the airflow obstruction index greater than or equal to the judgment value is blocked.

[0161] It should be noted that for the information interaction, execution process, etc. between the above units, since they are based on the same concept as the method embodiment of the present application, their specific functions and the technical effects brought about can be specifically referred to in the method embodiment part, and will not be elaborated here.

[0162] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment and will not be elaborated here.

[0163] The embodiment of the present application also provides an anesthesia airway opening assistance device. Figure 5 It is a schematic structural diagram of the anesthesia airway opening assistance device provided by an embodiment of the present application. As Figure 5 shown, the anesthesia airway opening assistance device of this embodiment includes a control device 6. Among them, the control device 6 includes: at least one processor 60 ( Figure 5 only one is shown in the figure), at least one memory 61 ( Figure 5 only one is shown in the figure), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the anesthesia airway opening assistance device implements the steps in any of the above-mentioned method embodiments for generating prompt information, or the functions of each unit in the above-mentioned system embodiments.

[0164] Exemplarily, the computer program 62 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the control device 6.

[0165] The control device 6 can be a computing device such as a single-chip microcomputer, a controller, a desktop computer, a notebook, a palm computer, and a cloud server. The control device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 5 it is only an example of the anesthesia airway opening assistance device and does not constitute a limitation on the anesthesia airway opening assistance device. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.

[0166] The processor 60 may be a Central Processing Unit (CPU), and the processor 60 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0167] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as the hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc. equipped on the control device 6. Further, the memory 61 may also include both the internal storage unit of the control device 6 and the external storage device. The memory 61 is used to store an operating system, application programs, a BootLoader, data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0168] The embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0169] The embodiment of the present application provides a computer program product, and when the computer program product runs on the anesthesia airway opening assistance device, the anesthesia airway opening assistance device implements the steps in any of the above method embodiments.

[0170] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the anesthesia airway opening assistance device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc.

[0171] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0172] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0173] In the embodiments provided by this application, it should be understood that the disclosed prompt information generation system, anesthesia airway opening assistance device, and method can be implemented in other ways. For example, the above-described prompt information generation system and anesthesia airway opening assistance device embodiments are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, 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 displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical, or other form.

[0174] The unit described as a separation component may or may not be physically separated. The component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0175] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A method for generating a prompt message, characterized in that, Applied to an anesthesia airway opening assistance device, the anesthesia airway opening assistance device includes a laryngeal mask, a plurality of sensing elements, and a control device. Each of the sensing elements is disposed on the laryngeal mask, and the control device is communicatively connected to each of the sensing elements. The method includes: Obtaining hot gas information in real time; wherein, the hot gas information includes temperature data and gas flow rate transmitted by an array composed of a plurality of sensing elements at a preset time interval; Obtaining analysis information based on the hot gas information; wherein, the analysis information includes at least one airflow obstruction index and ventilation volume information corresponding to a specific area in the user's airway. The specific area at least includes the oropharyngeal area, the laryngopharyngeal area, and the tracheal area. The airflow obstruction index reflects the obstruction condition of the specific area in the user's airway, and the ventilation volume information includes the ventilation volume of the left lung and the ventilation volume of the right lung; Obtaining prompt information based on the analysis information; wherein, the prompt information is used to prompt the doctor; The obtaining the analysis information based on the hot gas information includes: Establishing an airflow thermal map based on the hot gas information; wherein, the airflow thermal map reflects the temperature change in the airway during the respiratory cycle of the user. Each voxel in the airflow thermal map corresponds to each of the sensing elements, and the voxel reflects the temperature and gas flow rate of a partial area in the user's airway; Inputting the airflow thermal map into a medical segmentation model to obtain region information; wherein, the region information includes the oropharyngeal area, the laryngopharyngeal area, the tracheal area, the left main bronchus area, and the right main bronchus area; Obtaining a plurality of airflow obstruction indexes respectively corresponding to each region based on the region information; Obtaining the ventilation volume information based on the region information; Confirming each of the airflow obstruction indexes and the ventilation volume information as the analysis information.

2. The prompting information generation method according to claim 1, wherein The sensing elements are evenly distributed and attached to the surface of the airway catheter of the laryngeal mask and the laryngeal mask, and the distance between the tip of the airway catheter and the inner wall mucosa of the airway is greater than 2 millimeters.

3. The hint information generation method according to claim 1, wherein, The obtaining the plurality of airflow obstruction indexes respectively corresponding to each region based on the region information includes: Marking the voxels with a gas flow rate continuously less than a preset flow rate within a preset time period as suspicious obstruction areas, and marking the voxels with a gas flow rate greater than or equal to the preset flow rate as unobstructed areas; Analyzing each region respectively, and subtracting the total number of voxels in the airflow thermal map from the number of voxels in the suspicious obstruction areas within each region to obtain a volume ratio corresponding to each region; Calculating the average flow rate of the suspicious obstruction areas within each region within the preset time period respectively to obtain a suspicious flow rate corresponding to each region, then dividing each of the suspicious flow rates by the average flow rate of the unobstructed areas within the preset time period respectively to obtain a flow rate ratio corresponding to each region, and then subtracting the number 1 from each of the flow rate ratios respectively to obtain a flow rate attenuation rate corresponding to each region; Respectively confirming the value obtained by multiplying the volume ratio corresponding to each region by a preset volume weight and adding the flow rate attenuation rate multiplied by a preset flow rate weight as the airflow obstruction index.

4. The prompting information generation method according to claim 1, wherein The obtaining the ventilation volume information based on the region information includes: During the inhalation phase, after multiplying the gas flow velocity corresponding to each voxel in the left main bronchus region by the voxel cross-sectional area and then multiplying by the preset time interval to obtain a plurality of left voxel ventilation volumes respectively corresponding to each voxel in the left main bronchus region, the value obtained by summing all the left voxel ventilation volumes is confirmed as the left lung ventilation volume; During the inhalation phase, after multiplying the gas flow velocity corresponding to each voxel in the right main bronchus region by the voxel cross-sectional area and then multiplying by the preset time interval to obtain a plurality of right voxel ventilation volumes respectively corresponding to each voxel in the right main bronchus region, the value obtained by summing all the right voxel ventilation volumes is confirmed as the right lung ventilation volume; The left lung ventilation volume and the right lung ventilation volume are confirmed as the ventilation volume information.

5. The prompting information generation method according to claim 1, wherein The obtaining of the prompt information based on the analysis information includes: Obtaining lung function information based on the ventilation volume information; wherein, the lung function information is used to prompt the doctor to rotate the tip of the airway catheter; Obtaining obstruction information based on each of the airflow obstruction indices; the obstruction information is used to prompt the doctor to move the laryngeal mask; The lung function information and the obstruction information are confirmed as the prompt information.

6. The prompting information generation method according to claim 5, wherein The obtaining of the lung function information based on the ventilation volume information includes: Adding the left lung ventilation volume and the right lung ventilation volume to obtain the total ventilation volume; Dividing the left lung ventilation volume by the total ventilation volume, multiplying the obtained value by 100% to obtain the left lung ventilation ratio, and then subtracting the left lung ventilation ratio from 100% to obtain the right lung ventilation ratio; If the left lung ventilation ratio or the right lung ventilation ratio is less than the preset ratio, the left lung ventilation ratio or the right lung ventilation ratio whose reflected value is less than the preset ratio is confirmed as the adjustment ratio, and then the target ratio minus the adjustment ratio is obtained as the ratio difference; wherein, the target ratio is the ratio value to which the left lung ventilation ratio or the right lung ventilation ratio needs to be adjusted; The value obtained by dividing the ratio difference by the catheter length and then taking the arctangent function is confirmed as the deviation angle, and the lung function information is obtained to prompt the doctor to rotate the tip of the airway catheter by the deviation angle in the direction of the lung corresponding to the left lung ventilation ratio or the right lung ventilation ratio whose reflected value is less than the preset ratio.

7. The prompting information generation method according to claim 5, wherein The obtaining of the obstruction information based on each of the airflow obstruction indices includes: Obtaining a plurality of regional obstruction information based on each of the airflow obstruction indices; wherein, the regional obstruction information reflects whether the region in the specific region corresponding to the airflow obstruction index is blocked; If there is no regional obstruction information reflecting blockage, the obstruction information is obtained to prompt the doctor to maintain the current situation; If there is regional obstruction information reflecting that the oropharyngeal region is blocked, the absolute value of the value obtained by subtracting 0.5 from the airflow obstruction index corresponding to the oropharyngeal region is multiplied by the preset moving distance to obtain the forward movement distance, and a laryngeal mask movement instruction is obtained to prompt the doctor to move the laryngeal mask forward by the forward movement distance. If there is the regional obstruction information indicating that the laryngopharyngeal region is obstructed, a laryngeal mask rotation instruction for prompting the doctor to rotate the laryngeal mask to the right by a preset rotation angle is obtained; If there is the regional obstruction information indicating that the tracheal region is obstructed, a laryngeal mask retraction instruction for prompting the doctor to retract the laryngeal mask by a preset retraction distance and timely clear the secretions is obtained; The laryngeal mask movement instruction, the laryngeal mask rotation instruction, and the laryngeal mask retraction instruction are confirmed as the obstruction information.

8. The method for generating a prompt message according to claim 7, wherein The obtaining of multiple regional obstruction information based on each of the airflow obstruction indices includes: Respectively determining the magnitudes of each of the airflow obstruction indices. If the airflow obstruction index is less than the judgment value, the regional obstruction information indicating that the region corresponding to the airflow obstruction index less than the judgment value is not obstructed is obtained; If the airflow obstruction index is greater than or equal to the judgment value, the regional obstruction information indicating that the region corresponding to the airflow obstruction index greater than or equal to the judgment value is obstructed is obtained.

9. An anesthetic airway opening assistance device, characterized in that, It includes a laryngeal mask, multiple sensors, and a control device. The control device is communicatively connected to each of the sensors. Each of the sensors is disposed on the laryngeal mask. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

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