Airway patency assessment method, device and system

Abstract

The invention provides an airway patency assessment method, device and system, and relates to the technical field of medical treatment. The method comprises the following steps: S1, collecting first neck state data of a patient, wherein the first neck state data at least comprises neck image data; judging whether the neck of the patient has a swelling area or not based on an acquisition result; s2, if a swelling area exists in the neck of the patient, swelling condition data for the swelling area are obtained based on the first neck state data, and the swelling condition data at least comprise the swelling area and the swelling degree; and S3, based on the swelling condition data, evaluating the airway patency of the patient. According to the invention, whether the neck of the patient has the swelling area or not can be judged, and the swelling condition of the swelling area can be obtained, so that the airway patency can be evaluated, errors caused by subjective judgment of medical personnel can be reduced, and various health risks faced by the patient due to obstructed airway can be reduced.

Description

Technical Field

[0001] The present invention belongs to the field of medical technology, and in particular relates to an airway patency assessment method, device and system. Background Art

[0002] Airway obstruction refers to the obstruction or narrowing of the airway, which leads to restricted air flow and affects normal respiratory function. Symptoms of airway obstruction usually include shortness of breath, chest tightness, coughing, wheezing, etc. In severe cases, it may lead to hypoxia and respiratory failure.

[0003] Physiological changes in the body during pregnancy, such as changes in hormone levels and the enlargement of the uterus, may cause changes in the anatomy of the airway. The weight gain of pregnant women and the increased abdominal pressure may put pressure on the diaphragm and chest cavity, thereby affecting respiratory function. In addition, changes in progesterone may cause the mucous membrane of the upper airway to swell, increasing the risk of airway obstruction.

[0004] At the same time, pregnant women may face a higher risk of asthma attacks in late pregnancy, especially women who already have asthma. These factors combined make pregnant women more susceptible to airway obstruction in certain situations.

[0005] Swelling of the soft tissue in the neck may have a significant impact on the patency of the airway. The swollen soft tissue may directly compress the airway, causing it to narrow, which in turn affects the flow of air, causing breathing difficulties or even suffocation. Even if the swelling does not completely block the airway, the narrowing of the airway will lead to reduced ventilation efficiency, causing the patient to experience symptoms such as shortness of breath and shortness of breath.

[0006] In clinical practice, doctors usually evaluate the swelling of the soft tissue in the neck and its effect on airway patency through visual inspection and palpation. This evaluation mainly relies on visual inspection and palpation, which is not only limited by the doctor's experience and skills, but also easily affected by subjective factors, resulting in inconsistent evaluation results.

[0007] Manual examinations are inefficient and cannot be timely. Low efficiency may result in patients not receiving timely intervention in a short period of time, increasing the risk of complications. In many cases, the manifestation of esophageal reflux-related symptoms may be intermittent, and doctors may not be able to capture the patient's true symptoms during examinations, resulting in missed or misdiagnosed diagnoses and delayed treatment.

[0008] When evaluating soft tissue swelling, doctors often rely on their personal palpation experience, which is easily affected by individual differences and may lead to misjudgment of the degree of swelling. At the same time, there is currently a lack of effective quantitative tools in clinical practice to evaluate the severity of soft tissue swelling in the neck and its specific impact on the airway, which makes doctors lack objective basis when formulating treatment plans. For these reasons, doctors may not be able to adjust the treatment plan in time when the condition changes, resulting in the patient's condition not being effectively controlled.

[0009] In summary, how to provide an airway patency assessment method, device and system is a technical problem that urgently needs to be solved. Summary of the invention

[0010] The purpose of the present invention is to overcome the deficiencies of the prior art and provide an airway patency assessment method, device and system that can determine whether there is a swollen area in the patient's neck and obtain the swelling condition of the swollen area, thereby assessing the airway patency.

[0011] The present invention provides a method for evaluating airway patency, the method comprising the following steps: S1 collects first neck status data of the patient, wherein the first neck status data at least includes neck image data; based on the collection result, determines whether there is a swollen area on the patient's neck; S2: if there is a swollen area on the patient's neck, then based on the first neck state data, obtaining swelling status data for the swollen area, wherein the swelling status data at least includes the swelling area and the degree of swelling; S3 assesses the patient's airway patency based on swelling status data.

[0012] Further, S1 includes collecting the touch pressure data of the patient's neck on the scarf as the first neck state data, and determining whether there is a swollen area on the patient's neck; if there is a swollen area, comparing the touch pressure value detected by each pressure sensor with a preset threshold, and obtaining the position information of the pressure sensor whose touch pressure value is greater than the preset threshold, and calculating the area of ​​the swollen area; And, the degree of swelling at different locations is evaluated according to the size of the touch pressure detected by each pressure sensor.

[0013] Furthermore, S2 also includes collecting second neck status data and supplementing it into the first neck status data.

[0014] Furthermore, it includes collecting neck swallowing process data of the patient when swallowing as the second neck state data; the neck swallowing process data includes neck muscle movement data, swallowing sound data, swallowing time data and / or neck touch pressure data during swallowing.

[0015] Furthermore, obtaining swelling condition data for the swelling area in S2 includes comparing the neck swallowing process data with preset standard neck swallowing process data.

[0016] Furthermore, obtaining swelling condition data for the swelling area in S2 includes comparing the neck swallowing process data with preset standard neck swallowing process data.

[0017] Furthermore, S2 includes assigning weights to the area of ​​the swollen region and the degree of swelling respectively, performing a weighted operation, and evaluating the patient's airway patency based on the operation result.

[0018] Furthermore, the present invention provides an assessment device for implementing any of the above-mentioned airway patency assessment methods, comprising: The neck data collection component is used to collect neck status data; The neck data collection component at least includes an image acquisition component for collecting neck image data of the patient; A controller is used to receive and process neck status data to assess airway patency.

[0019] Furthermore, the neck data collection component also includes a neck touch pressure collection component, including a scarf that can be put on the patient's neck; at least one pressure sensor is provided on the side of the scarf facing the neck, and the pressure sensor detects the touch pressure data of the neck on the scarf.

[0020] Furthermore, the image acquisition component and the neckband are independently arranged, or the image acquisition component is arranged on a side of the neckband facing the neck.

[0021] The present invention provides a system using any of the above-mentioned airway patency assessment methods, the system comprising: Neck data processing module: collects the first neck status data of the patient, and determines whether there is a swollen area on the patient's neck based on the collection result; if there is a swollen area on the patient's neck, obtains swelling status data for the swollen area, and the swelling status data at least includes the swelling area and the degree of swelling; Risk Assessment Module: Assess the patient's airway patency based on swelling status data.

[0022] Due to the adoption of the above technical solution, the present invention has the following advantages and positive effects compared with the prior art, as an example: The evaluation device collects data on the patient's neck, which is convenient for clinical application, simple in structure, easy to maintain and promote. By combining neck image data, touch and pressure data and / or patient swallowing process data, it can comprehensively evaluate the patient's neck status, determine whether there is a swollen area, and evaluate the swelling area and degree of swelling, quantify the swelling of the neck, comprehensively consider the swelling area and degree, and perform weighted calculations. According to the calculation results, the patient's airway patency is evaluated, which can reduce the error caused by subjective judgment, help medical staff understand the airway patency in real time, and when the swelling level is high and affects the airway patency, timely know and intervene, and reduce the various health risks faced by patients due to airway obstruction. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the steps of the airway patency assessment method provided by the present invention.

[0024] Figure 2 This is a schematic diagram of the application of the airway patency assessment device provided by the present invention.

[0025] Figure 3 This is a schematic structural diagram of the neck touch pressure collection assembly provided by the present invention.

[0026] Figure 4 The structural schematic diagram of the airway patency assessment device provided by the present invention is another embodiment.

[0027] Airway patency assessment device 100, neckband 110; Neck data collection component 200, image collection component 210, neck touch pressure collection component 220, pressure sensor 221; Bed 10. DETAILED DESCRIPTION

[0028] The technical solution disclosed in the present invention is described in detail below in conjunction with specific embodiments.

[0029] Techniques and methods known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques and methods should be considered part of the specification. In all examples shown and discussed herein, any specific value should be interpreted as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0030] The present invention provides an airway patency assessment device 100, such as Figure 2 As shown, the neck data collection component 200 is used to collect neck status data.

[0031] The neck status data at least includes an image acquisition component 210 for acquiring neck image data of the patient.

[0032] The neck image data includes picture data and video data of the neck.

[0033] Furthermore, if Figure 3 As shown, the neck data collection assembly further includes a neck contact pressure collection assembly 220, which includes a neck gaiter 110 that can be put on the patient's neck.

[0034] At least one pressure sensor 221 is arranged on the side of the neck girdle facing the neck. The pressure sensor can be arranged below the surface of the side of the neck girdle facing the neck, or arranged flush with the surface, or arranged above the surface. Through the pressure sensor, the contact pressure applied by the neck to the neck girdle can be monitored in real time.

[0035] Optionally, the neck gaiter is made of flexible material, and a plurality of pressure sensors are installed on the inside, covering different areas of the front, sides and back of the neck respectively.

[0036] The device also includes an image acquisition component for acquiring an image of the patient's neck.

[0037] The image acquisition component can be set up independently from the collar, such as Figure 2 As shown, for example, the image acquisition component is arranged in the space where the patient is located, or is arranged on the bed 10 or the chair where the patient is located, and images of the patient's neck are acquired from different angles.

[0038] Or, if Figure 4 As shown, the image acquisition component 210 is disposed on the side of the neck girdle 110 facing the neck.

[0039] Specifically, a mounting groove (not shown in the figure) with an opening facing outward is provided on the side of the scarf facing the neck, and the image acquisition component is installed in the mounting groove. By way of example and not limitation, the image acquisition component here includes but is not limited to a camera component, an infrared imaging component for capturing thermal images of the neck, an optical sensor component for capturing optical images of the neck, an ultrasonic probe for ultrasonic imaging, a laser sensor for measuring the geometric shape and position of the neck, and a multi-spectral imaging sensor for capturing spectral images of different wavelengths.

[0040] like Figure 1 As shown, the present invention provides an airway patency assessment method implemented by the above-mentioned airway patency assessment device, comprising the following steps: S1 collects first neck status data of the patient, where the first neck status data at least includes neck image data.

[0041] Based on the collected results, it is determined whether there is a swollen area on the patient's neck.

[0042] Generally speaking, the analysis and processing of neck image data includes the following steps: Preprocess the neck image data; and perform region segmentation on the neck image data.

[0043] Identify the neck in the image and segment and extract the neck area from the background.

[0044] Extract the features of the swollen area in the segmented image. Analyze the shape, contour and area of ​​the neck. The swollen area usually appears as an irregular shape or an enlarged area. Detect the edges and identify possible swollen edges. The neck image can be segmented into swollen and non-swollen areas by preset thresholds, and the swollen part can be extracted based on the difference in pixel intensity.

[0045] The swollen area may also appear to be higher than the rest of the normal neck area. The surface contour of the neck area is analyzed, the height differences between different areas are compared, and the swollen area that is higher than the surrounding normal area is identified.

[0046] The swollen area may also show changes in skin color, such as redness and swelling. Therefore, the presence and location of swelling can be determined by analyzing and extracting the color and texture features of the neck skin.

[0047] If it is determined in S2 that there is a swollen area on the patient's neck, swelling condition data for the swollen area is obtained based on the first neck state data.

[0048] If there is a swollen area on the patient's neck, swelling condition data for the swollen area is obtained, and the swelling condition data at least includes the swelling area and the degree of swelling.

[0049] Based on at least one of the above implementations, a swollen area is extracted from the neck image data; the number of pixels in the swollen area is calculated, and the actual area of ​​the swelling is obtained in combination with the resolution of the image.

[0050] The degree of swelling can be assessed by comparing the area of ​​the swollen area to the area of ​​the normal neck area using the following formula:

[0051] In another embodiment, the properties of the swollen area are used as a measure of the degree of swelling. For example, the properties of the swollen area can be compared with the preset properties of the normal area, and the severity of the swelling can be evaluated based on the size of the property difference. Specifically, the properties of the swollen area are divided into multiple key factors such as roundness, height, aspect ratio, color, etc., and the key factors of the swollen area are obtained respectively and compared with the preset thresholds. The property thresholds of the normal area can be determined by historical data or clinical research, such as the normal roundness range, standard height, aspect ratio and color value.

[0052] The number of key factors with deviations exceeding the preset threshold and the difference between each key factor and the preset threshold are statistically analyzed to comprehensively evaluate the severity of the swelling. Furthermore, different weights can be assigned to each key factor to comprehensively calculate a total score, and the degree of swelling of the swollen area can be obtained based on the score grading standard of the total score.

[0053] Among them, C stands for roundness, H stands for height, L / W stands for aspect ratio, RGB stands for color, and N stands for any other possible key factors.

[0054] Specifically, for example, the aspect ratio of a normal area is 1.0 - 2.0.

[0055] The aspect ratio was scored as follows: 1.0 ≤ L / W ≤ 1.5, scored as 0.

[0056] 1.5 < L / W < 2.0, scored as 1 point.

[0057] L / W ≤ 1.0 or L / W ≥ 2.0 was scored as 2 points.

[0058] A patient with a swollen area with an aspect ratio of 2.5 was scored 2 points.

[0059] Similarly, the scores for roundness, height, and color were obtained as 2 points, 1 point, and 1 point, respectively.

[0060] Then the total score = 0.8+0.3+0.4+0.1=1.6.

[0061] The total score is scored on a scale of, for example, 0 - 1.0: mild swelling; 1.0 - 1.5: moderate swelling; 1.5 - 2.0: severe swelling; The swollen area of ​​this patient was then assessed as "severely swollen".

[0062] S1 includes collecting the contact pressure data of the patient's neck on the scarf as the first neck state data, and determining whether there is a swollen area on the patient's neck.

[0063] The swollen area may be higher than the surface of the normal area. When a scarf is worn on the patient's neck, the swollen area may exert greater pressure on the scarf than the normal area. In addition, when a normal area changes into a swollen area, the swelling of the skin may also exert greater pressure on the scarf.

[0064] Pressure sensors at different positions monitor the touch pressure values ​​in real time and compare the collected touch pressure values ​​with the preset thresholds. When the pressure value in the area exceeds the set threshold and is higher than the pressure value in the adjacent area, it is judged that swelling may exist in the area.

[0065] Also, summarize the touch pressure values ​​at different time points and analyze their changing trends. If the touch pressure value of a certain area shows a clear upward trend within a short period of time, it may indicate the occurrence of swelling.

[0066] In addition, by comparing the size of the touch pressure at different locations, it can be determined whether there is a swollen area on the patient's neck.

[0067] Similarly, if there is a swollen area on the patient's neck, S2 obtains swelling condition data for the swollen area based on the first neck state data.

[0068] The area of ​​the swelling region is obtained based on the distribution range of the pressure sensors that can detect the touch pressure.

[0069] The touch pressure value collected by each pressure sensor is compared with the preset threshold, and only sensors exceeding the threshold are considered as part of the swelling area. For example, the threshold is set to 10 Pa. Sensor 1 (x 1 , y 1 ): Touch pressure value 12 Pa, sensor 2 (x 1 , y 1 ): Touch pressure value 8 Pa, sensor 3 (x 3 , y 3 ): Touch pressure value 15 Pa; sensor 4 (x 4 , y 4 ), touch pressure value 28 Pa; sensor 5(x 5 , y 5 ): Touch pressure value 5 Pa.

[0070] Then sensors 2 and 5 are not included in the swelling area.

[0071] The position information of all pressure sensors whose detected touch pressure values ​​are greater than a preset threshold is obtained, and the area of ​​the closed figure formed by them is calculated. In this example, the area of ​​the closed figure formed by sensors 1, 3, and 4 is calculated based on the sensor coordinate values ​​using the corresponding polygon area formula to obtain the area of ​​the swelling area.

[0072] The degree of swelling at different locations is assessed based on the magnitude of the touch pressure detected by each pressure sensor.

[0073] Similarly, corresponding scoring standards are set for the touch pressure value to evaluate the degree of swelling.

[0074] Different intervals of touch pressure values ​​correspond to different scoring values, for example: Touch pressure value ≤ 10 Pa: 0 points (normal) 10 Pa < Touch pressure ≤ 20 Pa: 1 point (mild swelling) 20 Pa < touch pressure ≤ 30 Pa: scored as 2 points (moderate swelling) Touch pressure value > 30 Pa: scored as 3 points (severe swelling) Then sensor 1 is scored as 1 point, sensor 3 is scored as 1 point, sensor 4 is scored as 2 points, and the total score is 4 points.

[0075] The criteria for setting the total touch pressure score are: 0 - 3 points: mild swelling; 4 - 6 points: moderate swelling; 7 - 10 points: severe swelling; The patient's swelling is moderate.

[0076] In addition to the neck image data described above, and the touch pressure data of the patient's neck on the neck gaiter as the first neck state data, S2 also includes the touch pressure data of the patient's neck on the neck gaiter, then collects the second neck state data and supplements it into the first neck state data.

[0077] The neck swallowing process data of the patient when swallowing is collected as the second neck state data.

[0078] The neck swallowing process data includes neck muscle movement data, swallowing sound data, swallowing time data and / or neck touch pressure data during swallowing. The collection of the data can be triggered manually. For example, when the patient is about to undergo a swallowing test, the medical staff starts the collection of the neck swallowing process data. All the data collected thereafter are regarded as neck swallowing process data until the medical staff turns off the collection.

[0079] Alternatively, the triggering may be performed automatically by automatically recognizing the swallowing process.

[0080] Compared with the state when not swallowing, the patient's neck may have more obvious movements when swallowing. When the neck is monitored in real time through a pressure sensor or image acquisition component, the movement of the neck is observed and the contraction and relaxation of the muscles are identified. If an obvious change trend consistent with the swallowing characteristics is monitored, it is determined that the patient is performing a swallowing action and the collection of swallowing process data is initiated. Since the monitoring is continuous, the time period spent on identifying the swallowing process can be traced back from the time node when the swallowing process data collection is started, for example, 3 seconds back, and the data in the traced time period is also summarized as the swallowing process data together with the data after the start.

[0081] After starting the swallowing process collection mode, the movement data of the neck muscles, the swallowing sound data, and the swallowing time data can all be collected through the image acquisition component.

[0082] Likewise, when the patient performs different types of swallowing movements, such as dry swallowing, swallowing liquids, swallowing solids, etc., continuous video data of the patient's neck is recorded through the image acquisition component.

[0083] Optionally, before image acquisition, visual markers are used on the patient's neck muscles as visual key points to facilitate subsequent motion trajectory tracking.

[0084] Similar to the processing and analysis of neck image data mentioned above, the key points of the neck muscles in the video data of the swallowing process are extracted, and the displacement, velocity, acceleration and other motion-related parameters of the key points are analyzed. The motion-related parameters of the key points are compared with the preset motion data of normal neck muscles.

[0085] The audio in the collected video data is extracted as swallowing sound data, and the frequency, intensity and duration of the sound waves are analyzed. The sound waves with a value greater than the preset threshold are compared, and the time node corresponding to the sound wave is recorded.

[0086] The start frame and the end frame of the swallowing action in the neck image data are identified, and the interval time between them is calculated as the swallowing time data.

[0087] The neck contact pressure data during swallowing is collected through the pressure sensor installed on the neck collar.

[0088] The collected neck swallowing process data are compared with the preset normal neck swallowing process data, based on the number of key points that do not conform to the normal numerical range and the size of the deviation value from the normal numerical range, as a reference for whether there is swelling in the neck and the severity of the swelling.

[0089] As an example, the corresponding scoring criteria are as follows: If the number of key points that do not meet the normal range is 1-3 and the deviation value is relatively small (for example, the deviation value is within ±10% of the normal range), it will be scored as 1 point.

[0090] If the number of key points that do not meet the normal range is 4-6 and the deviation value is moderate (for example, the deviation value is between ±10%-30% of the normal range), it will be scored as 2 points.

[0091] If the number of key points that do not meet the normal range exceeds 6 and the deviation value is large (for example, the deviation value exceeds ±30% of the normal range), it will be scored as 3 points.

[0092] S3 assesses the patient's airway patency based on swelling status data.

[0093] After summarizing the score obtained based on the second neck status data and the score obtained based on the aforementioned first neck status data, weights are assigned to the area of ​​the swollen region and the degree of swelling, and a weighted operation is performed to evaluate the patient's airway patency based on the operation results.

[0094] The weighting operation can be multiplication or addition.

[0095] for example, .

[0096] Among them, the swelling area is A, the swelling degree is S, the swelling area weight is Wa, and the swelling degree weight is WS.

[0097] As an example, the scoring criteria for the calculation results are as follows: For example, no swelling: total score 0; good airway patency Mild swelling: Total score 0-5; the airway may be affected but usually remains patent.

[0098] Moderate swelling: total score 5-10; airway patency may be limited and requires close observation.

[0099] Severe swelling: Total score > 10; airway patency is significantly restricted and may require urgent intervention.

[0100] The present invention provides a system using any one of the above-mentioned automatic intervention methods, including a body position adjustment device, including: Reflux risk management module, used to collect risk assessment results of whether the patient has esophageal reflux risk; A target body position acquisition module is used to identify the patient's current body position when the patient has a risk of esophageal reflux; based on the current body position, determine the patient's target body position and generate a body position adjustment plan; The body position adjustment module is used to adjust the patient's body position so that the patient's limbs reach the characteristics of the target body position in the body position adjustment plan.

[0101] In the scope of the intended protection of the present disclosure, terms such as "including" and the like should be interpreted as inclusive or open by default, rather than exclusive or closed, unless they are expressly defined to the contrary. All technical, scientific or other terms have the meanings understood by those skilled in the art unless they are defined to the contrary. Common terms found in dictionaries should not be interpreted too idealistically or too impractically in the context of relevant technical documents, unless the present disclosure expressly defines them as such.

[0102] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and range of equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0103] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for evaluating airway patency, characterized in that The method comprises the following steps: S1 collects first neck status data of the patient, the first neck status data at least including neck image data; based on the collection result, determines whether there is a swollen area in the patient's neck; S2 if there is a swollen area in the patient's neck, obtains swelling status data for the swollen area based on the first neck status data, the swelling status data at least including the swelling area and the degree of swelling; S3 assesses the patient's airway patency based on swelling status data.

2. The airway patency assessment method according to claim 1, characterized in that: S1 includes collecting the touch pressure data of the patient's neck on the scarf as the first neck state data, and determining whether there is a swollen area on the patient's neck; if there is a swollen area, comparing the touch pressure value detected by each pressure sensor with a preset threshold, and obtaining the position information of the pressure sensor whose touch pressure value is greater than the preset threshold, and calculating the area of ​​the swollen area; And, the degree of swelling at different locations is evaluated according to the size of the touch pressure detected by each pressure sensor.

3. The airway patency assessment method according to claim 1, characterized in that: S2 also includes collecting second neck status data and supplementing it into the first neck status data.

4. The airway patency assessment method according to claim 3, characterized in that: It includes collecting the neck swallowing process data of the patient when swallowing as the second neck state data; the neck swallowing process data includes the movement data of the neck muscles during swallowing, swallowing sound data, swallowing time data and / or neck touch pressure data during swallowing.

5. The airway patency assessment method according to claim 4, characterized in that: Acquiring swelling condition data for the swelling area in S2 includes comparing the neck swallowing process data with preset standard neck swallowing process data.

6. The airway patency assessment method according to any one of claims 1 to 5, characterized in that: S2 includes assigning weights to the area of ​​the swollen region and the degree of swelling, performing a weighted operation, and evaluating the patient's airway patency based on the operation result.

7. An evaluation device for implementing the airway patency evaluation method according to any one of claims 1 to 6, characterized in that include: The neck data collection component is used to collect neck status data; The neck data collection component at least includes an image acquisition component for collecting neck image data of the patient; A controller is used to receive and process neck status data to assess airway patency.

8. The airway patency assessment device according to claim 7, characterized in that: The neck data collection component also includes a neck touch pressure collection component, including a neck collar that can be put on the patient's neck; at least one pressure sensor is provided on the side of the neck collar facing the neck, and the pressure sensor detects the touch pressure data of the neck on the neck collar.

9. The airway patency assessment device according to claim 8, characterized in that: The image acquisition component and the neckband are independently arranged, or the image acquisition component is arranged on the side of the neckband facing the neck.

10. A system using the airway patency assessment method according to any one of claims 1 to 6, characterized in that: The system includes, Neck data processing module: collects the first neck status data of the patient, and based on the collection result, determines whether there is a swollen area on the patient's neck; If there is a swollen area on the patient's neck, then obtaining swelling condition data for the swollen area, wherein the swelling condition data at least includes the swelling area and the degree of swelling; Risk Assessment Module: Assess the patient's airway patency based on swelling status data.

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