An airway obstruction emergency device control method

Abstract

This application discloses a control method for an airway obstruction emergency rescue device to improve the success rate of emergency rescue. This application applies to the processing module of an emergency rescue device, which also includes a laryngoscope module. The method includes: acquiring an obstruction assessment result for the affected area; based on the obstruction assessment result, acquiring a processing image of the affected area using a camera on the laryngoscope module, and performing an obstruction elimination operation based on the processing image; reacquiring the processing image and extracting the airway patency rate from the reacquiring processing image; comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate threshold for n consecutive times, where n is a positive integer greater than or equal to 2; if the comparison result is consistently greater than or equal to the patency rate threshold for n consecutive times, then the obstruction is determined to have been eliminated.

Description

Technical Field

[0001] This application relates to the field of emergency medical care, and more particularly to a control method for an airway obstruction emergency device. Background Technology

[0002] Airway obstruction refers to a pathological state in which the airway narrows or becomes blocked due to various factors, resulting in a reduction in the airway's cross-sectional area and impaired ventilation function. Mild cases present with increased airflow resistance or difficulty breathing, while severe cases can lead to hypoxia or asphyxiation due to ventilation interruption. It is one of the most life-threatening conditions in clinical emergency care. Common causes include foreign body aspiration (such as food debris, small metal objects, etc.) and pathological factors (such as laryngeal edema, tumor compression, etc.). In current protocols, when a patient experiences airway obstruction, medical staff will use clinical experience to determine the specific type of airway obstruction within the optimal emergency timeframe, such as whether it is a foreign body obstruction or a pathological obstruction, before proceeding with standardized procedures, such as the Heimlich maneuver.

[0003] However, in the existing solutions, emergency care relies on the clinical experience of medical staff. If the medical staff lacks experience, the emergency care operation will be irregular and the error rate will be high. In addition, as the emergency care operation time increases, the medical staff will become more and more fatigued, which will lead to a decrease in the stability of the emergency care operation. All of these factors result in a low success rate of emergency care. Summary of the Invention

[0004] To address the technical problem of low success rate in emergency treatment in the background art, this application provides a control method for an airway obstruction emergency treatment device to improve the success rate of emergency treatment.

[0005] The first aspect of this application provides a control method for an airway obstruction emergency rescue device, applied to a processing module in the emergency rescue device. The device further includes a laryngoscope module, comprising: Obtain the obstruction assessment results for the affected area; Based on the obstruction determination result, the camera of the laryngoscope module acquires an image of the affected area to be processed, and the obstruction is eliminated based on the image. The image to be processed is reacquired, and the airway patency rate is extracted from the reacquired image. The airway patency rate is the ratio of the actual patency cross-sectional area to the lumen cross-sectional area. After comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, the operation is performed based on the comparison result until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times, where n is a positive integer greater than or equal to 2. If the comparison results are consistently greater than or equal to the airway patency threshold for n consecutive times, then the obstruction is determined to have been eliminated.

[0006] Optionally, the device further includes an airway support catheter, and the obstruction relief operation based on the image to be processed includes: The target path is obtained based on the image to be processed, so that the user can place the airway support tube through the target path; The obstruction is relieved using the airway support catheter.

[0007] Optionally, if the obstruction assessment result is laryngeal edema belonging to pathological obstruction, then the obstruction relief operation based on the airway support tube includes: The airway mucosal redness rate is obtained by extracting and processing the image to be processed. The airway mucosal redness rate is the ratio of the obstruction area to the cross-sectional area of ​​the airway. Based on the preset relationship between the airway mucosal redness rate and the effective cross-sectional area of ​​the drug release channel of the airway support catheter, the corresponding target effective cross-sectional area is determined according to the current airway mucosal redness rate, wherein the effective cross-sectional area is less than or equal to the channel cross-sectional area of ​​the drug release channel. The actual effective cross-sectional area of ​​the drug delivery channel of the airway support catheter placed in the trachea is adjusted to the target effective cross-sectional area, thereby releasing the drug to the obstruction area at a rate corresponding to the target effective cross-sectional area; The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: The airway patency rate is compared with a preset patency rate threshold to obtain the comparison result; The airway mucosal redness rate is obtained by extracting and processing the reacquired image. The process returns to the first target step and subsequent steps until the comparison result is greater than or equal to the airway lumen patency rate for n consecutive times. The first target step is based on the relationship between the preset airway mucosal redness rate and the effective cross-sectional area of ​​the drug release channel of the airway support catheter, and the corresponding target effective cross-sectional area is determined according to the current airway mucosal redness rate.

[0008] Optionally, if the obstruction assessment result is tumor compression belonging to pathological obstruction, then the obstruction relief operation based on the airway support catheter includes: Adjust the actual effective cross-sectional area of ​​the drug delivery channel of the airway support catheter placed in the trachea, thereby releasing tumor compression drug to the obstruction area at a specified rate; The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway lumen patency rate with a preset patency rate threshold to obtain the comparison result, return to execute the second target step and subsequent steps until the comparison result is that the airway lumen patency rate is greater than or equal to the patency rate threshold for n consecutive times. The second target step is to adjust the actual effective cross-sectional area of ​​the drug release channel of the airway support catheter placed in the trachea, so as to release tumor compression drugs to the obstruction area at a specified rate.

[0009] Optionally, the device further includes endoscopic foreign body forceps. If the obstruction determination result indicates a low-lying rigid foreign body obstructing the airway, the obstruction relief operation based on the airway support catheter includes: The endoscopic foreign body forceps are controlled to perform foreign body retrieval operations through the side hole channel of the airway support catheter; The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway lumen patency rate with a preset patency rate threshold to obtain the comparison result, return to execute the fifth objective step and subsequent steps until the comparison result is that the airway lumen patency rate is greater than or equal to the patency rate threshold for n consecutive times. The fifth objective step is to control the endoscopic foreign body forceps to perform foreign body removal operation through the side hole channel of the airway support catheter.

[0010] Optionally, obtaining the target path based on the image to be processed, so that the user places the airway support tube via the target path, includes: The center point of the incisors, the center point of the glottis region, and the midpoint of the upper airway lumen are determined from the image to be processed, and multiple initial paths are generated through the center point of the incisors, the center point of the glottis region, and the midpoint of the upper airway lumen. Pixel offset processing and curvature smoothing optimization processing are performed on the multiple initial paths to obtain multiple intermediate paths, wherein the multiple intermediate paths are smooth paths that conform to the natural anatomical curvature of the airway and avoid the obstruction area in the image to be processed. For each intermediate path, the scores of four indicators are calculated based on the preset scoring criteria: anatomical node fit, obstruction area avoidance, effective space matching, and natural direction fit. The weighted sum of the index score and the preset weight is determined as the path score of the intermediate path; The intermediate path with the highest path score is determined as the target path.

[0011] Optionally, the device further includes an electrically operated pressing component, wherein the obstruction removal operation based on the image to be processed includes: The airway patency rate is extracted from the image to be processed, and the operation of the electric compression component is controlled based on the obtained patient weight and the airway patency rate.

[0012] Optionally, if the obstruction determination result is a high-position hard foreign body obstructing the airway, then controlling the operation of the electric compression component based on the obtained patient weight and the airway patency rate includes: Based on a preset first compression depth algorithm, a first target compression depth is calculated according to the obtained patient weight and the airway patency rate. Based on a preset first compression frequency algorithm, a first target compression frequency is calculated according to the patient weight and the airway patency rate. The operation of the electric compression component, which is in close contact with the patient, is controlled according to the first target compression depth and the first target compression frequency. The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway patency rate with a preset patency rate threshold, the process returns to the fourth target step and subsequent steps until the comparison result is greater than or equal to the patency rate threshold for n consecutive times. The fourth target step is to calculate the first target compression depth based on the patient's weight and the airway patency rate using a preset first compression depth algorithm, and to calculate the first target compression frequency based on the patient's weight and the airway patency rate using a preset first compression frequency algorithm.

[0013] Optionally, after controlling the operation of the electrically operated compression component that is in close contact with the patient based on the first target compression depth and the first target compression frequency, and before reacquiring the image to be processed, the method further includes: The adhesion degree between the obstruction region and the airway region is extracted from the image to be processed. The adhesion degree is the ratio of the area of ​​the contact region to the area of ​​the airway region. The contact region is the region in which the neighboring pixels of each pixel in the obstruction region are pixels of the airway region. If the adhesion degree is greater than the preset adhesion degree threshold, the image to be processed is reacquired and the third target step and subsequent steps are executed until the adhesion degree is less than or equal to the adhesion degree threshold. The third target step is to extract the adhesion degree between the obstruction region and the airway region from the image to be processed. If the adhesion degree is less than or equal to the adhesion degree threshold, a foreign object loosening warning will be issued.

[0014] Optionally, the device further includes an airway suction module. If the obstruction determination result indicates a soft foreign body obstructing the airway, then controlling the operation of the electric compression component based on the obtained patient weight and the airway patency rate includes: Based on a preset second compression depth algorithm, a second target compression depth is calculated according to the obtained patient weight and airway patency rate, and based on a preset second compression frequency algorithm, a second target compression frequency is calculated according to the patient weight and airway patency rate. The electric compression component, which is in close contact with the patient, is controlled to operate according to the second target compression depth and the second target compression frequency, and the airway suction module is controlled to suction foreign objects. The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway patency rate with a preset patency rate threshold, the process returns to the sixth target step and subsequent steps until the comparison result is greater than or equal to the patency rate threshold for n consecutive times. The sixth target step is to calculate the second target compression depth based on the patient's weight and the airway patency rate using a preset second compression depth algorithm, and to calculate the second target compression frequency based on the patient's weight and the airway patency rate using a preset second compression frequency algorithm.

[0015] As can be seen from the above technical solutions, the embodiments of this application have the following advantages: First, the obstruction assessment result for the affected area is obtained. Then, based on the obstruction assessment result, an image of the affected area is acquired using the camera of the laryngoscope module, and an obstruction elimination operation is performed based on the image. Next, the image is reacquired, and the airway patency rate is extracted from the reacquired image. This airway patency rate is then compared with a preset patency rate threshold. Operations are performed based on the comparison result until the airway patency rate is greater than or equal to the threshold for n consecutive comparisons. Finally, if the airway patency rate is greater than or equal to the threshold for n consecutive comparisons, the obstruction is considered eliminated. This method is based on an emergency rescue device, which essentially handles all emergency rescue operations. Once the obstruction assessment result is available, automated emergency rescue can be performed. Compared to manual emergency rescue, this method is more standardized, has a lower error rate, and the emergency rescue device does not fatigue with the duration of the rescue operation, maintaining stability for a considerable period, thus significantly improving the success rate of emergency rescue.

[0016] Additional aspects and advantages of embodiments of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of embodiments of this application. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of an embodiment of the control method for an airway obstruction emergency rescue device disclosed in this application; Figure 2 This is a schematic diagram of another embodiment of the control method for an airway obstruction emergency rescue device disclosed in this application; Figure 3 This is a schematic diagram of another embodiment of the control method for an airway obstruction emergency rescue device disclosed in this application.

[0019] The realization of the objectives, functional features and advantages of the embodiments of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] Airway obstruction is a life-threatening condition in clinical emergency departments, with foreign body obstruction and pathological obstruction being the most common types. In existing protocols, when a patient experiences airway obstruction, medical personnel rely on clinical experience to determine the specific type of obstruction within the optimal rescue time before performing standardized procedures, such as the Heimlich maneuver. However, existing protocols rely heavily on the clinical experience of medical personnel; insufficient experience leads to non-standardized procedures and a high error rate. Furthermore, the stability of manual resuscitation procedures decreases, all contributing to a low success rate. To address these technical problems, this application provides a control method for an airway obstruction resuscitation device. This method, based on a resuscitation device, essentially delegates all resuscitation operations to the device. Once the obstruction assessment is complete, automated resuscitation can begin. Compared to manual resuscitation, this method is more standardized, has a lower error rate, higher stability, and a lower barrier to entry, thus significantly improving the success rate of resuscitation.

[0021] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the embodiments of this application, and should not be construed as limiting the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of the embodiments of this application.

[0022] In the description of the embodiments of this application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "circumferential", "radial", etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0023] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "first," "second," "third," "fourth," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. In the description of embodiments of this application, "a plurality of" means two or more, unless otherwise expressly specified.

[0024] In the embodiments of this application, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0025] In the embodiments of this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature being directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0026] The following describes a control method for an airway obstruction emergency rescue device according to this application. Please refer to... Figure 1 An embodiment of the airway obstruction emergency rescue device control method of this application is applied to the processing module of the emergency rescue device, which also includes a laryngoscope module. The method includes: 101. Obtain the obstruction assessment results for the affected area; Obstruction assessment results are obtained for the affected area. These results include at least laryngeal edema, tumor compression, low-lying hard foreign bodies, mid-lying hard foreign bodies, and soft foreign bodies. The obstruction assessment results can be selected directly by the user on the device's operating screen, selected via a terminal and sent to the device, or automatically obtained by the device acquiring and analyzing images; the specific method is not limited here. Specifically, in one embodiment, a camera based on the laryngoscope module acquires an image of the affected area to be processed, and based on a trained assessment model, the obstruction assessment result corresponding to the image is obtained. Simply put, the input to the assessment model is relevant features, such as airway mucosal redness and swelling rate, shape regularity, etc., and the output is the obstruction assessment result. The image to be processed can be denoised, enhanced, and segmented before extracting features and inputting them into the assessment model to obtain the obstruction assessment result. In another embodiment, the obstruction assessment result corresponding to the user-input obstruction type selection command is determined. Simply put, it is input by the user.

[0027] 102. Based on the obstruction judgment result, the camera of the laryngoscope module acquires the image to be processed of the affected area, and performs obstruction elimination operation based on the image to be processed. Based on the obstruction assessment result, the camera of the laryngoscope module acquires images of the affected area, and then performs obstruction removal operations based on these images. Specifically, the user places the laryngoscope module's camera into the affected area in the airway, acquires the corresponding images, and the obstruction removal operations corresponding to the obstruction assessment results are generally different. The subsequent obstruction removal operations can be performed by processing the images.

[0028] 103. Reacquire the image to be processed and extract the airway patency rate from the reacquired image; The image to be processed is reacquired, and the airway patency rate is extracted from the reacquired image. The airway patency rate is the ratio of the actual patent cross-sectional area to the lumen cross-sectional area. After obstruction relief, the image to be processed is reacquired, and the airway patency rate is obtained. This indicator represents the degree of airway patency and can be used as a criterion for determining whether the obstruction has been relieved. Specifically, after denoising, enhancement, and image segmentation of the image to be processed, a segmentation mask is obtained. Based on the distribution of obstruction and airway regions on the segmentation mask, the actual patent cross-sectional area and lumen cross-sectional area can be determined by counting pixels, and then the airway patency rate can be calculated.

[0029] 104. After comparing the airway patency rate with the preset patency rate threshold, perform the operation based on the comparison result until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times. After comparing the airway patency rate with a preset patency threshold, the operation continues based on the comparison results until the airway patency rate is greater than or equal to the patency threshold for n consecutive comparisons. Here, n is a positive integer greater than or equal to 2. Preferably, the patency threshold is 90%, but it can be other values ​​as needed, and is not limited here. Simply put, the operation only ends when the airway patency rate is greater than or equal to the patency threshold for n consecutive comparisons; otherwise, the operation continues to eliminate the obstruction.

[0030] 105. If the comparison results are all greater than or equal to the airway patency rate threshold for n consecutive times, then the obstruction is determined to have been eliminated.

[0031] If the airway patency rate is greater than or equal to the patency rate threshold for n consecutive comparisons, then the obstruction is determined to have been eliminated. Specifically, if the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times, it indicates that the airway is basically open and the obstruction has been basically eliminated, and this is confirmed. After confirmation, a prompt sound or indicator light may be emitted to remind the user that the obstruction has been eliminated.

[0032] In this embodiment, the obstruction assessment result for the affected area is first obtained. Then, based on the obstruction assessment result, an image of the affected area to be processed is acquired using the camera of the laryngoscope module. An obstruction elimination operation is performed based on this image. The image to be processed is then reacquired, and the airway patency rate is extracted from the reacquired image. This airway patency rate is then compared with a preset patency rate threshold. Operations are performed based on the comparison result until the airway patency rate is greater than or equal to the threshold for n consecutive comparisons. Finally, if the airway patency rate is greater than or equal to the threshold for n consecutive comparisons, the obstruction is determined to have been eliminated. This method is based on an emergency rescue device, essentially delegating all emergency rescue operations to the device. With an obstruction assessment result, automated emergency rescue can be performed. Compared to manual emergency rescue, this method is more standardized, has a lower error rate, and the emergency rescue device does not become fatigued with the duration of the rescue operation, maintaining stability for a considerable period, thus significantly improving the success rate of emergency rescue.

[0033] The obstruction assessment results in this application include pathological obstructions such as laryngeal edema, tumor compression, low-lying hard foreign bodies, high-lying hard foreign bodies, and soft foreign bodies. It is understood that this may also include types such as airway spasm and foreign body impaction, along with their corresponding emergency procedures, which can be added as needed; specific details are not limited here. The five types mentioned above will be explained below.

[0034] This section describes three types of obstruction: laryngeal edema (a pathological obstruction), tumor compression (a pathological obstruction), and low-lying hard foreign bodies (a foreign body obstruction). Please refer to [link / reference]. Figure 2 Another embodiment of the airway obstruction emergency device control method of this application is applied to the processing module of the emergency device. The device also includes a laryngoscope module, an airway support tube, and an endoscopic foreign body forceps. The method includes: 201. Obtain the obstruction assessment results for the affected area; Obstruction assessment results are obtained for the affected area. These results include at least laryngeal edema, tumor compression, low-lying hard foreign bodies, mid-lying hard foreign bodies, and soft foreign bodies. The obstruction assessment results can be selected directly by the user on the device's operating screen, selected via a terminal and sent to the device, or automatically obtained by the device acquiring and analyzing images; the specific method is not limited here. Specifically, in one embodiment, a camera based on the laryngoscope module acquires an image of the affected area to be processed, and based on a trained assessment model, the obstruction assessment result corresponding to the image is obtained. Simply put, the input to the assessment model is relevant features, such as airway mucosal redness and swelling rate, shape regularity, etc., and the output is the obstruction assessment result. The image to be processed can be denoised, enhanced, and segmented before extracting features and inputting them into the assessment model to obtain the obstruction assessment result. In another embodiment, the obstruction assessment result corresponding to the user-input obstruction type selection command is determined. Simply put, it is input by the user.

[0035] 202. Based on the obstruction assessment results, the camera of the laryngoscope module acquires images of the affected area to be processed. Based on the obstruction assessment, the camera on the laryngoscope module acquires images of the affected area. Specifically, the user places the laryngoscope module's camera into the affected area in the airway, and the camera can automatically acquire the corresponding image, or the user can control the camera shutter to freely acquire images of the affected area.

[0036] 203. Obtain the target path based on the image to be processed, so that the user can place the airway support tube through the target path; The target path is obtained based on the image to be processed, so that the user can place the airway support tube along the target path. Specifically, there are multiple ways to determine the target path, which are not limited here. The following is an example of one such method.

[0037] In one implementation, the center point of the incisors, the center point of the glottis region, and the midpoint of the upper airway lumen are first determined from the image to be processed, and multiple initial paths are generated passing through these three points. Specifically, the center points of the incisors, glottis region, and upper airway lumen are all critical nodes in the path of the airway support duct. These critical nodes must be passed through to ensure efficiency and safety. Based on these three critical nodes, multiple initial paths are randomly generated that pass through them. Some of these initial paths may directly pass through obstructions, so they need to be filtered.

[0038] Next, pixel offset processing and curvature smoothing optimization are performed on multiple initial paths to obtain multiple intermediate paths. These intermediate paths are smooth paths that avoid obstruction areas in the image to be processed and conform to the natural anatomical curvature of the airway. Pixel offset processing moves the relevant pixels of the path to areas without obstructions, while curvature smoothing optimization makes the path more closely conform to the natural anatomical curvature of the airway.

[0039] Then, for each intermediate path, scores are calculated based on preset scoring criteria for four indicators: anatomical node fit, obstruction area avoidance, effective space matching, and natural direction fit. Specifically, anatomical node fit refers to the number of times the intermediate path passes through these three key nodes; passing through all three nodes earns full marks, while missing one or two nodes deducts points. Obstruction area avoidance indicates the degree of distance from the obstruction area; crossing the obstruction results in the highest deduction, as does fitting directly into the obstruction, while distance from the airway and obstruction earns high marks. Effective space matching assesses the degree of distance of the intermediate path from the airway and obstruction within the effective space. Natural direction fit determines whether the curvature of the intermediate path perfectly aligns with the airway's axial centerline; perfect alignment earns the highest score.

[0040] The path score of the intermediate path is then determined by the weighted sum of the indicator scores and the preset weights. The preset weights can be set according to actual needs, and there is no specific limitation here. Preferred weights are 30%, 30%, 20%, and 20%.

[0041] Finally, the intermediate path with the highest path score is determined as the target path.

[0042] 204. Obstruction relief procedures based on airway support tubes; The obstruction relief procedure is performed using an airway support catheter. Three implementation methods are described below, where part a corresponds to part a of step 206, part b corresponds to part b of step 206, and part c corresponds to part c of step 206.

[0043] a. Laryngeal edema diagnosed as pathological obstruction: First, the image to be processed is extracted to obtain the airway mucosal redness rate, which is the ratio of the obstruction area to the airway cross-sectional area. Specifically, after denoising and enhancing the image to be processed and performing semantic-based image segmentation to obtain a segmentation mask, the obstruction area and the airway cross-sectional area are measured based on the obstruction region and airway region in the segmentation mask, and the airway mucosal redness rate is calculated.

[0044] Then, based on the preset relationship between the airway mucosal redness rate and the effective cross-sectional area of ​​the drug delivery channel of the airway support catheter, the corresponding target effective cross-sectional area is determined according to the current airway mucosal redness rate. The effective cross-sectional area is less than or equal to the cross-sectional area of ​​the drug delivery channel. The relationship between the airway mucosal redness rate and the effective cross-sectional area can be linear or non-linear, and can be set according to the actual situation; no specific limitation is made here. The higher the airway mucosal redness rate, the larger the effective cross-sectional area.

[0045] Finally, the actual effective cross-sectional area of ​​the drug delivery channel of the airway support tube placed in the trachea is adjusted to the target effective cross-sectional area, thereby releasing the drug to the obstructive area at a rate corresponding to the target effective cross-sectional area. There is also a correspondence between the effective cross-sectional area and the rate; a specific rate can be determined manually by adjusting the target effective cross-sectional area.

[0046] b. The obstruction assessment result is tumor compression, which is a pathological obstruction: The effective cross-sectional area of ​​the drug delivery channel in the airway support catheter placed in the trachea is adjusted to release tumor-compressing drugs to the obstructed area at a specified rate. There is a relationship between the effective cross-sectional area and the delivery rate; this relationship can be used to adjust the effective cross-sectional area to obtain the specified rate.

[0047] c. The obstruction assessment result indicates a low-lying, hard foreign body that is a type of foreign body obstruction: The endoscopic foreign body forceps are controlled to remove foreign bodies through the side port of the airway support tube. The device can automatically remove foreign bodies at a low position in the airway (7-10 cm from the glottis).

[0048] 205. Reacquire the image to be processed and extract the airway patency rate from the reacquired image; The image to be processed is reacquired, and the airway patency rate is extracted from the reacquired image. The airway patency rate is the ratio of the actual patent cross-sectional area to the lumen cross-sectional area. After obstruction relief, the image to be processed is reacquired, and the airway patency rate is obtained. This indicator represents the degree of airway patency and can be used as a criterion for determining whether the obstruction has been relieved. Specifically, after denoising, enhancement, and image segmentation of the image to be processed, a segmentation mask is obtained. Based on the distribution of obstruction and airway regions on the segmentation mask, the actual patent cross-sectional area and lumen cross-sectional area can be determined by counting pixels, and then the airway patency rate can be calculated.

[0049] 206. After comparing the airway patency rate with the preset patency rate threshold, perform the operation based on the comparison result until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times. After comparing the airway patency rate with a preset patency rate threshold, operations are performed based on the comparison results until the airway patency rate is greater than or equal to the patency rate threshold for n consecutive comparisons, where n is a positive integer greater than or equal to 2. Three implementation methods are described below.

[0050] a. Laryngeal edema diagnosed as pathological obstruction: First, the airway patency rate is compared with a preset patency threshold to obtain a comparison result. There are two possible results: either the airway patency rate is greater than or equal to the patency threshold, or the airway patency rate is less than the patency threshold. The patency threshold is generally set to 90%, but other values ​​are also possible; no specific limit is specified here.

[0051] The re-acquired image is then processed to obtain the airway mucosal redness rate. The process returns to the first target step and subsequent steps until the airway patency rate is consistently greater than or equal to a threshold value for n consecutive comparisons. The first target step is part a of step 204, which involves "determining the corresponding target effective cross-sectional area based on the current airway mucosal redness rate, according to the preset relationship between the airway mucosal redness rate and the effective cross-sectional area of ​​the drug release channel of the airway support catheter." In short, if the condition of "airway patency rate greater than or equal to the threshold value for n consecutive comparisons" is not met, the obstruction removal operation continues.

[0052] b. The obstruction assessment result is tumor compression, which is a pathological obstruction: After comparing the airway patency rate with the preset patency rate threshold, the process returns to the second objective step and subsequent steps until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times. The second objective step is "adjusting the actual effective cross-sectional area of ​​the drug release channel of the airway support catheter placed in the trachea to release tumor compression drugs to the obstruction area at a specified rate" in part b of step 204.

[0053] c. The obstruction assessment result indicates a low-lying, hard foreign body that is a type of foreign body obstruction: After comparing the airway lumen patency rate with the preset patency rate threshold, return to execute the fifth objective step and subsequent steps until the comparison result is that the airway lumen patency rate is greater than or equal to the patency rate threshold for n consecutive times. The fifth objective step is "controlling the endoscopic foreign body forceps to perform foreign body removal operation through the side hole channel of the airway support tube" in part c of step 204.

[0054] 207. If the comparison results are all greater than or equal to the airway patency rate threshold for n consecutive times, then the obstruction is determined to have been eliminated.

[0055] If the airway patency rate is greater than or equal to the patency rate threshold for n consecutive comparisons, then the obstruction is determined to have been eliminated. Specifically, if the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times, it indicates that the airway is basically open and the obstruction has been basically eliminated, and this is confirmed. After confirmation, a prompt sound or indicator light may be emitted to remind the user that the obstruction has been eliminated.

[0056] In this embodiment, the method is based on an emergency rescue device. Basically, all emergency rescue operations are performed by the emergency rescue device. As long as the obstruction is determined, automated emergency rescue can be performed. Compared with manual emergency rescue, it is more standardized, has a lower error rate, and the emergency rescue device will not become fatigued as the emergency rescue operation time increases. It will maintain the stability of the emergency rescue operation for a considerable period of time. It has a low threshold and high stability, thereby greatly improving the success rate of emergency rescue.

[0057] This section will now describe two types of foreign bodies that fall under the category of high-middle-level hard foreign bodies and soft foreign bodies that fall under the category of foreign body obstruction. Please refer to [link / reference]. Figure 3 Another embodiment of the airway obstruction emergency device control method of this application is applied to the processing module of the emergency device. The device also includes a laryngoscope module, an electric compression assembly, and an airway suction module. The method includes: 301. Obtain the obstruction assessment results for the affected area; 302. Based on the obstruction assessment results, the camera of the laryngoscope module acquires images of the affected area to be processed. Steps 301 to 302 in this embodiment are the same as those described above. Figure 2Steps 201 to 202 in the illustrated embodiment are similar and will not be repeated here.

[0058] 303. Extract the airway patency rate from the image to be processed, and control the operation of the electric compression component based on the obtained patient weight and airway patency rate. The operation of the electric compression device is controlled based on the obtained patient weight and airway patency rate. This can be achieved in at least two ways, as detailed below. Part a of this step corresponds to part a of step 305, and part b of this step corresponds to part b of step 305.

[0059] a. The obstruction assessment result indicates a high-position hard foreign body, classifying it as a foreign body obstruction: First, based on a preset first compression depth algorithm, a first target compression depth is calculated according to the patient's weight and airway patency. Then, based on a preset first compression frequency algorithm, a first target compression frequency is calculated according to the patient's weight and airway patency. For example, since adult and child weights differ, the compression depth is generally 5-6 cm for adults and 3-4 cm for children. The compression frequency is generally 130-140 compressions per minute, employing a "high-frequency, light pressure" strategy to loosen hard foreign objects through vibration.

[0060] The motorized compression component, which is in close contact with the patient, is then controlled to operate according to the first target compression depth and the first target compression frequency. Once the motorized compression component is in close contact with the patient, it operates according to the first target compression depth and the first target compression frequency.

[0061] In addition, to facilitate foreign object removal, the degree of looseness of the foreign object can be assessed first. Once it is sufficiently loosened, the removal operation can proceed. Specifically, after the above steps, the adhesion between the obstruction region and the airway region is extracted from the image to be processed. The adhesion is the ratio of the area of ​​the contact region to the area of ​​the airway region. The contact region is the area where every pixel in the obstruction region has a neighboring pixel in the airway region. If the adhesion is greater than a preset adhesion threshold, the image to be processed is reacquired, and the third objective step and subsequent steps are executed until the adhesion is less than or equal to the adhesion threshold. The third objective step is to extract the adhesion between the obstruction region and the airway region from the image to be processed. If the adhesion is less than or equal to the adhesion threshold, a foreign object loosening prompt is issued. In short, after the electric pressing component starts working, it checks the adhesion. If the adhesion has not decreased to a certain level, the electric pressing component continues to work to loosen the foreign object. If the adhesion is less than or equal to the threshold, the foreign object removal operation can be performed.

[0062] b. The obstruction assessment result indicates a soft foreign body that is a type of foreign body obstruction: First, based on a preset second compression depth algorithm, a second target compression depth is calculated according to the patient's weight and airway patency. Then, based on a preset second compression frequency algorithm, a second target compression frequency is calculated according to the patient's weight and airway patency. Generally, the compression frequency ranges from 100 to 110 compressions per minute, while the compression depth ranges from 4 to 5 cm for adults and 2 to 3 cm for children. A "low-frequency, high-pressure" strategy is employed to avoid fragmenting soft foreign objects.

[0063] Then, based on the second target compression depth and the second target compression frequency, the electric compression component, which is in close contact with the patient, is controlled to operate, and the airway suction module is controlled to suction the foreign object. Specifically, the electric compression component operates, and at the same time, the airway suction module is activated, which suctions loose, soft foreign objects through the side holes of the airway support tube to prevent foreign object fragments from blocking the distal airway.

[0064] 304. Reacquire the image to be processed and extract the airway patency rate from the reacquired image; Step 304 in this embodiment is the same as described above. Figure 2 Step 205 in the illustrated embodiment is similar and will not be repeated here.

[0065] 305. After comparing the airway patency rate with the preset patency rate threshold, perform the operation based on the comparison result until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times. After comparing the airway patency rate with a preset patency rate threshold, the operation is performed based on the comparison result until the comparison result is consistently greater than or equal to the patency rate threshold n times, where n is a positive integer greater than or equal to 2. Two implementation methods are described below.

[0066] a. The obstruction assessment result indicates a high-position hard foreign body, classifying it as a foreign body obstruction: After comparing the airway patency rate with a preset patency rate threshold, the process returns to the fourth target step and subsequent steps until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times. The fourth target step is part a of step 303: "Based on the preset first compression depth algorithm, the first target compression depth is calculated according to the obtained patient weight and airway patency rate, and based on the preset first compression frequency algorithm, the first target compression frequency is calculated according to the patient weight and airway patency rate."

[0067] b. The obstruction assessment result indicates a soft foreign body that is a type of foreign body obstruction: After comparing the airway patency rate with the preset patency rate threshold, the process returns to the sixth target step and subsequent steps until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times. The sixth target step is part b of step 303, which is "based on the preset second compression depth algorithm, the second target compression depth is calculated according to the obtained patient weight and airway patency rate, and based on the preset second compression frequency algorithm, the second target compression frequency is calculated according to the patient weight and airway patency rate".

[0068] 306. If the comparison results are all greater than or equal to the airway patency rate threshold for n consecutive times, then the obstruction is determined to have been eliminated.

[0069] Step 306 in this embodiment is the same as described above. Figure 2 Step 207 in the illustrated embodiment is similar and will not be repeated here.

[0070] The following example illustrates this. A patient experiences airway obstruction due to accidentally swallowing a piece of pork rib (a hard foreign object in the middle of the airway). Medical staff activate the emergency device, inserting the camera of the laryngoscope module into the patient's airway. The device analyzes the data to determine the obstruction, calls the corresponding protocol, and, considering the patient's weight of 70 kg, calculates a compression depth of 5.5 cm and a compression rate of 135 compressions per minute. The electric compression component operates, and when the adhesion between the pork rib and the airway decreases to below the adhesion threshold (e.g., 10%), specifically to 8%, it indicates "foreign object loosened." Medical staff then remove the pork rib using forceps. If the device detects three consecutive instances where the airway patency rate is greater than the threshold (e.g., 90%), the obstruction is considered resolved.

[0071] The patient experienced laryngeal edema due to a drug allergy, resulting in airway obstruction symptoms. Medical staff activated the emergency device, inserting the laryngoscope module's camera into the airway. The device acquired and analyzed the images to determine the obstruction. Based on an algorithm, it controlled the drug-release channel of the airway support tube to deliver dexamethasone at a rate (0.5 ml / min) corresponding to the airway mucosal redness and swelling rate. The rate was continuously adjusted according to the airway mucosal redness and swelling rate. For example, if the airway mucosal redness and swelling rate dropped to 28%, the device automatically adjusted the drug delivery rate to 0.3 ml / min. If the device detected an airway patency rate greater than a threshold three times consecutively, the obstruction was determined to be resolved.

[0072] The patient experienced airway obstruction due to aspiration of food residue (a soft foreign object). Medical staff activated the emergency device, inserted the laryngoscope module's camera into the airway, and the device acquired and analyzed the images to determine the obstruction. Based on the algorithm, the compression depth was set to 5 cm and the compression frequency to 105 compressions per minute. The electric compression component and airway suction module were activated simultaneously until the device detected an airway patency rate greater than or equal to the threshold three times consecutively.

[0073] In this embodiment, the method is based on an emergency rescue device. Basically, all emergency rescue operations are performed by the emergency rescue device. As long as the obstruction is determined, automated emergency rescue can be performed. Compared with manual emergency rescue, it is more standardized, has a lower error rate, and the emergency rescue device will not become fatigued as the emergency rescue operation time increases. It will maintain the stability of the emergency rescue operation for a considerable period of time. It has a low threshold and high stability, thereby greatly improving the success rate of emergency rescue.

[0074] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0075] It should be noted that although the steps in the flowcharts of the various embodiments are drawn sequentially according to the arrows, unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the various embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0076] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the embodiments of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0077] If the integrated unit is implemented as 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, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0078] The above are merely preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structural transformations made using the description and drawings of the present application under the inventive concept of the present application, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present application.

Claims

1. A control method for an airway obstruction emergency device, applied to a processing module in the emergency device, the device further comprising a laryngoscope module, characterized in that, include: Obtain the obstruction assessment results for the affected area; Based on the obstruction determination result, the camera of the laryngoscope module acquires an image of the affected area to be processed, and the obstruction is eliminated based on the image. The image to be processed is reacquired, and the airway patency rate is extracted from the reacquired image. The airway patency rate is the ratio of the actual patency cross-sectional area to the lumen cross-sectional area. After comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, the operation is performed based on the comparison result until the comparison result is that the airway patency rate is greater than or equal to the patency rate threshold for n consecutive times, where n is a positive integer greater than or equal to 2. If the comparison results are consistently greater than or equal to the airway patency threshold for n consecutive times, then the obstruction is determined to have been eliminated.

2. The control method for the airway obstruction emergency device according to claim 1, characterized in that, The device further includes an airway support catheter, and the obstruction relief operation based on the image to be processed includes: The target path is obtained based on the image to be processed, so that the user can place the airway support tube through the target path; The obstruction is relieved using the airway support catheter.

3. The control method for the airway obstruction emergency device according to claim 2, characterized in that, If the obstruction assessment result is laryngeal edema, which is a pathological obstruction, then the obstruction relief operation based on the airway support tube includes: The airway mucosal redness rate is obtained by extracting and processing the image to be processed. The airway mucosal redness rate is the ratio of the obstruction area to the cross-sectional area of ​​the airway. Based on the preset relationship between the airway mucosal redness rate and the effective cross-sectional area of ​​the drug release channel of the airway support catheter, the corresponding target effective cross-sectional area is determined according to the current airway mucosal redness rate, wherein the effective cross-sectional area is less than or equal to the channel cross-sectional area of ​​the drug release channel. The actual effective cross-sectional area of ​​the drug delivery channel of the airway support catheter placed in the trachea is adjusted to the target effective cross-sectional area, thereby releasing the drug to the obstruction area at a rate corresponding to the target effective cross-sectional area; The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: The airway patency rate is compared with a preset patency rate threshold to obtain the comparison result; The airway mucosal redness rate is obtained by extracting and processing the reacquired image. The process returns to the first target step and subsequent steps until the comparison result is greater than or equal to the airway lumen patency rate for n consecutive times. The first target step is based on the relationship between the preset airway mucosal redness rate and the effective cross-sectional area of ​​the drug release channel of the airway support catheter, and the corresponding target effective cross-sectional area is determined according to the current airway mucosal redness rate.

4. The control method for the airway obstruction emergency device according to claim 2, characterized in that, If the obstruction assessment result is a tumor compression that is a pathological obstruction, then the obstruction relief operation based on the airway support catheter includes: Adjust the actual effective cross-sectional area of ​​the drug delivery channel of the airway support catheter placed in the trachea, thereby releasing tumor compression drug to the obstruction area at a specified rate; The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway lumen patency rate with a preset patency rate threshold to obtain the comparison result, return to execute the second target step and subsequent steps until the comparison result is that the airway lumen patency rate is greater than or equal to the patency rate threshold for n consecutive times. The second target step is to adjust the actual effective cross-sectional area of ​​the drug release channel of the airway support catheter placed in the trachea, so as to release tumor compression drugs to the obstruction area at a specified rate.

5. The control method for the airway obstruction emergency device according to claim 2, characterized in that, The device also includes endoscopic foreign body forceps. If the obstruction determination result is a low-lying rigid foreign body obstructing the airway, the obstruction relief operation based on the airway support catheter includes: The endoscopic foreign body forceps are controlled to perform foreign body retrieval operations through the side hole channel of the airway support catheter; The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway lumen patency rate with a preset patency rate threshold to obtain the comparison result, return to execute the fifth objective step and subsequent steps until the comparison result is that the airway lumen patency rate is greater than or equal to the patency rate threshold for n consecutive times. The fifth objective step is to control the endoscopic foreign body forceps to perform foreign body removal operation through the side hole channel of the airway support catheter.

6. The control method for the airway obstruction emergency device according to claim 2, characterized in that, The step of obtaining a target path based on the image to be processed, so that the user can place the airway support tube via the target path, includes: The center point of the incisors, the center point of the glottis region, and the midpoint of the upper airway lumen are determined from the image to be processed, and multiple initial paths are generated through the center point of the incisors, the center point of the glottis region, and the midpoint of the upper airway lumen. Pixel offset processing and curvature smoothing optimization processing are performed on the multiple initial paths to obtain multiple intermediate paths, wherein the multiple intermediate paths are smooth paths that conform to the natural anatomical curvature of the airway and avoid the obstruction area in the image to be processed. For each intermediate path, the scores of four indicators are calculated based on the preset scoring criteria: anatomical node fit, obstruction area avoidance, effective space matching, and natural direction fit. The weighted sum of the index score and the preset weight is determined as the path score of the intermediate path; The intermediate path with the highest path score is determined as the target path.

7. The control method for the airway obstruction emergency device according to claim 1, characterized in that, The device further includes an electrically operated pressing component, and the obstruction removal operation based on the image to be processed includes: The airway patency rate is extracted from the image to be processed, and the operation of the electric compression component is controlled based on the obtained patient weight and the airway patency rate.

8. The control method for the airway obstruction emergency device according to claim 7, characterized in that, If the obstruction assessment result is a high-position hard foreign body obstruction, then controlling the operation of the electric compression component based on the obtained patient weight and the airway patency rate includes: Based on a preset first compression depth algorithm, a first target compression depth is calculated according to the obtained patient weight and the airway patency rate. Based on a preset first compression frequency algorithm, a first target compression frequency is calculated according to the patient weight and the airway patency rate. The operation of the electric compression component, which is in close contact with the patient, is controlled according to the first target compression depth and the first target compression frequency. The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway patency rate with a preset patency rate threshold, the process returns to the fourth target step and subsequent steps until the comparison result is greater than or equal to the patency rate threshold for n consecutive times. The fourth target step is to calculate the first target compression depth based on the patient's weight and the airway patency rate using a preset first compression depth algorithm, and to calculate the first target compression frequency based on the patient's weight and the airway patency rate using a preset first compression frequency algorithm.

9. The control method for the airway obstruction emergency device according to claim 8, characterized in that, After controlling the operation of the electrically operated compression component closely attached to the patient based on the first target compression depth and the first target compression frequency, and before reacquiring the image to be processed, the method further includes: The adhesion degree between the obstruction region and the airway region is extracted from the image to be processed. The adhesion degree is the ratio of the area of ​​the contact region to the area of ​​the airway region. The contact region is the region in which the neighboring pixels of each pixel in the obstruction region are pixels of the airway region. If the adhesion degree is greater than the preset adhesion degree threshold, the image to be processed is reacquired and the third target step and subsequent steps are executed until the adhesion degree is less than or equal to the adhesion degree threshold. The third target step is to extract the adhesion degree between the obstruction region and the airway region from the image to be processed. If the adhesion degree is less than or equal to the adhesion degree threshold, a foreign object loosening warning will be issued.

10. The control method for the airway obstruction emergency device according to claim 7, characterized in that, The device also includes an airway suction module. If the obstruction determination result is a soft foreign body obstructing the airway, then controlling the operation of the electric compression component based on the obtained patient weight and the airway patency rate includes: Based on a preset second compression depth algorithm, a second target compression depth is calculated according to the obtained patient weight and airway patency rate, and based on a preset second compression frequency algorithm, a second target compression frequency is calculated according to the patient weight and airway patency rate. The electric compression component, which is in close contact with the patient, is controlled to operate according to the second target compression depth and the second target compression frequency, and the airway suction module is controlled to suction foreign objects. The step of comparing the airway patency rate with a preset patency rate threshold to obtain a comparison result, and then performing operations based on the comparison result until the comparison result is consistently greater than or equal to the patency rate of the airway lumen for n consecutive times, includes: After comparing the airway patency rate with a preset patency rate threshold, the process returns to the sixth target step and subsequent steps until the comparison result is greater than or equal to the patency rate threshold for n consecutive times. The sixth target step is to calculate the second target compression depth based on the patient's weight and the airway patency rate using a preset second compression depth algorithm, and to calculate the second target compression frequency based on the patient's weight and the airway patency rate using a preset second compression frequency algorithm.

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