Airway Patency Assessment Method, Apparatus and System

Abstract

The present invention provides a method, device and system for evaluating airway patency, which relates to the field of medical technology. The method includes the following steps: S1: Collect the first neck status data of the patient, and the first neck status data at least includes neck image data; Based on the collection result, determine whether there is a swollen area in the patient's neck; S2: If there is a swollen area in the patient's neck, then based on the first neck status data, obtain the swelling condition data for the swollen area, and the swelling condition data at least includes the swelling area and the degree of swelling; S3: Based on the swelling condition data, evaluate the airway patency of the patient. The present invention can determine whether there is a swollen area in the patient's neck and obtain the swelling condition of the swollen area, so as to evaluate airway patency, reduce the error caused by the subjective judgment of medical staff, and reduce various health risks faced by the patient due to airway obstruction.

Description

Technical Field

[0001] The present invention belongs to the field of medical technologies, and particularly relates to a method, device, and system for evaluating airway patency. Background Art

[0002] Airway obstruction refers to the blockage or narrowing of the airway, resulting in restricted air flow and thus affecting normal respiratory function. The symptoms of airway obstruction usually manifest as shortness of breath, chest tightness, coughing, wheezing, etc., and may lead to hypoxia and respiratory failure in severe cases.

[0003] During pregnancy, due to physiological changes in the body, such as changes in hormone levels and the enlargement of the uterus, the anatomical structure of the airway may change. The weight gain of pregnant women and the increase in abdominal pressure may exert pressure on the diaphragm and chest cavity, thus affecting respiratory function. In addition, changes in progesterone may cause swelling of the mucosa in the upper respiratory tract, thereby increasing the risk of airway obstruction.

[0004] At the same time, pregnant women in the third trimester of pregnancy may face a higher risk of asthma attacks, especially women with a history of asthma. These factors combined make pregnant women more likely to experience airway obstruction in certain situations.

[0005] The swelling of neck soft tissues may have a significant impact on airway patency. The swollen soft tissues may directly compress the airway, causing it to narrow, thereby affecting air flow and resulting in dyspnea or even asphyxia. Even if the swelling does not completely block the airway, the narrowing of the airway will lead to a decrease in ventilation efficiency, causing symptoms such as shortness of breath and tachypnea in the patient.

[0006] Clinically, doctors usually evaluate the swelling of neck soft tissues and its impact 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 examination is inefficient and cannot provide timely intervention. Low efficiency may lead to the patient not receiving timely intervention in a short period of time, increasing the risk of complications. In many cases, the manifestations of esophageal reflux-related symptoms may be intermittent, and doctors may not be able to capture the patient's true symptoms during the examination, resulting in missed diagnosis or misdiagnosis and delaying treatment.

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

[0009] In summary, how to provide a method, device and system for evaluating airway patency is a technical problem that urgently needs to be solved at present. Summary of the Invention

[0010] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method, device and system for evaluating airway patency, which can determine whether there is a swollen area in the patient's neck and obtain the swelling condition of the swollen area, so as to evaluate airway patency.

[0011] The present invention provides a method for evaluating airway patency, which includes the following steps:

[0012] S1 Collect the first neck status data of the patient, where the first neck status data at least includes neck image data; based on the collection result, determine whether there is a swollen area in the patient's neck;

[0013] S2 If there is a swollen area in the patient's neck, then based on the first neck status data, obtain the swelling condition data for the swollen area, where the swelling condition data at least includes the swelling area and the degree of swelling;

[0014] S3 Based on the swelling condition data, evaluate the airway patency of the patient.

[0015] Further, S1 includes collecting the touch pressure data of the patient's neck on the neck wrap as the first neck status data, and determining whether there is a swollen area in the patient's neck; if there is a swollen area, then compare the touch pressure values detected by each pressure sensor with a preset threshold, and obtain the position information of the pressure sensors whose touch pressure values are greater than the preset threshold, and calculate the area of the swollen area;

[0016] And, based on the magnitude of the touch pressure detected by each pressure sensor, evaluate the degree of swelling at different positions.

[0017] Further, S2 also includes collecting the second neck status data and supplementing it into the first neck status data.

[0018] Further, it includes collecting the neck swallowing process data of the patient during the swallowing action as the second neck state data; the neck swallowing process data includes the movement data of the neck muscles during the swallowing process, the swallowing sound data, the time data consumed by swallowing, and / or the neck touch pressure data during the swallowing process.

[0019] Further, obtaining the swelling condition data for the swollen area in S2 includes comparing the neck swallowing process data with the preset standard neck swallowing process data.

[0020] Further, obtaining the swelling condition data for the swollen area in S2 includes comparing the neck swallowing process data with the preset standard neck swallowing process data.

[0021] Further, S2 includes assigning weights to the area and degree of swelling of the swollen area respectively, performing a weighted operation, and evaluating the airway patency of the patient according to the operation result.

[0022] Further, the present invention provides an evaluation device for implementing the evaluation method of airway patency in any one of the above, including:

[0023] The neck data collection component is used to collect the state data of the neck;

[0024] The neck data collection component at least includes an image acquisition component for collecting the neck image data of the patient;

[0025] The controller is used to receive and process the state data of the neck to evaluate the airway patency.

[0026] Further, the neck data collection component further includes a neck touch pressure acquisition component, including a collar that can be sleeved on the patient's neck; at least one pressure sensor is arranged on the side of the collar facing the neck, and the touch pressure data of the neck on the collar is detected through the pressure sensor.

[0027] Further, the image acquisition component and the collar are separately and independently arranged, or the image acquisition component is arranged on the side of the collar facing the neck.

[0028] The present invention provides a system adopting the airway patency evaluation method in any one of the above, and the system includes,

[0029] The neck data processing module: collects the first neck state data of the patient, and based on the collection result, determines whether there is a swollen area in the patient's neck; if there is a swollen area in the patient's neck, then obtains the swelling condition data for the swollen area, and the swelling condition data at least includes the swelling area and the degree of swelling;

[0030] The risk assessment module: evaluates the airway patency of the patient based on the swelling condition data.

[0031] Due to the adoption of the above technical solutions, compared with the prior art, for example, the present invention has the following advantages and positive effects:

[0032] The data of the patient's neck is collected by the evaluation device, which is convenient for clinical application, has a simple structure, and is easy to maintain and promote. By combining the neck image data, palpation data and / or the swallowing process data of the patient, the state of the patient's neck can be comprehensively evaluated, whether there is a swollen area can be judged, and the swollen area and the degree of swelling can be evaluated, the swelling condition of the neck can be quantified, the swollen area and degree are comprehensively considered, and a weighted operation is performed. According to the operation result, the airway patency of the patient is evaluated, which can reduce the error caused by subjective judgment, help medical staff to understand the airway patency in real time, and in the case that a higher degree of swelling will affect the airway patency, timely know and intervene, reducing various health risks faced by the patient due to airway obstruction. Brief Description of the Drawings

[0033] Figure 1 It is a schematic diagram of the steps of the airway patency evaluation method provided by the present invention.

[0034] Figure 2 It is an application schematic diagram of the airway patency evaluation device provided by the present invention.

[0035] Figure 3 It is a schematic diagram of the structure of the neck palpation acquisition component provided by the present invention.

[0036] Figure 4 It is a schematic diagram of the structure of the airway patency evaluation device provided by the present invention, which is another embodiment.

[0037] Airway patency evaluation device 100, neckband 110;

[0038] Neck data collection component 200, image acquisition component 210, neck palpation acquisition component 220, pressure sensor 221;

[0039] Bed 10. Detailed Description of the Invention

[0040] The following detailed description of the technical solutions disclosed by the present invention is given in conjunction with specific embodiments.

[0041] For technologies and methods known to those of ordinary skill in the relevant art, detailed discussion may not be made, but in appropriate cases, such technologies and methods should be regarded as part of the specification. In all examples shown and discussed here, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0042] The present invention provides an airway patency assessment device 100, as Figure 2 shown, the neck data collection component 200 is used to collect the status data of the neck.

[0043] Among them, the status data of the neck at least includes an image acquisition component 210, which is used to acquire the neck image data of the patient.

[0044] The neck image data includes picture data and video data of the neck.

[0045] Furthermore, as Figure 3 shown, the neck data collection component further includes a neck touch pressure acquisition component 220, which includes a neckband 110 that can be sleeved on the patient's neck.

[0046] At least one pressure sensor 221 is arranged on the side of the neckband facing the neck. The pressure sensor can be arranged below the surface on the side of the neckband facing the neck, or flush with the surface, or higher than the surface. Through the pressure sensor, the touch pressure exerted by the neck on the neckband can be monitored in real time.

[0047] Optionally, the neckband is made of a flexible material, and a plurality of pressure sensors are installed inside, respectively covering different regions on the front side, side and rear side of the neck.

[0048] It further includes an image acquisition component, which is used to acquire the neck image of the patient.

[0049] The image acquisition component can be independently arranged from the neckband. As Figure 2 shown, for example, the image acquisition component is arranged in the space where the patient is located, or on the bed 10 or chair where the patient is located, and the neck of the patient is imaged from different angles.

[0050] Or, as Figure 4 shown, the image acquisition component 210 is arranged on the side of the neckband 110 facing the neck.

[0051] Specifically, an installation groove with an outward opening (not shown in the figure) is arranged on the side of the neckband facing the neck, and the image acquisition component is installed in the installation groove. By way of example and not limitation, the image acquisition component herein includes, but is not limited to, a camera component, an infrared imaging component for capturing the thermal imaging of the neck, an optical sensing component for capturing the optical image of the neck, an ultrasonic probe for ultrasonic imaging, a laser sensor for measuring the geometry and position of the neck, and a multispectral imaging sensor for collecting spectral images of different wavelengths.

[0052] As Figure 1 shown, the present invention provides an airway patency assessment method implemented by using the above-mentioned airway patency assessment device, including the following steps:

[0053] S1 collects the first neck status data of the patient, and the first neck status data includes at least neck image data.

[0054] Based on the collection result, it is determined whether there is a swollen area in the patient's neck.

[0055] Generally speaking, the analysis and processing of neck image data includes the following steps:

[0056] Preprocess the neck image data; perform region segmentation on the neck image data.

[0057] Identify the neck in the image and segment and extract the neck region from the background.

[0058] Extract the features of the swollen area in the segmented image. Analyze the shape, contour and area of the neck. The swollen area usually shows an irregular shape or an increased area. Detect the edges to identify possible swollen edges. The neck image can be segmented into a swollen area and a non-swollen area by a preset threshold, and the swollen part can be extracted according to the pixel intensity difference.

[0059] The swollen area may also show a surface higher than the rest of the normal neck area. Analyze the surface contour of the neck area, compare the height differences of different areas, and identify the swollen area with a height higher than the surrounding normal area.

[0060] The swollen area may also show a change in skin color, such as redness and swelling. Therefore, the color texture features of the neck skin can be analyzed and extracted to determine whether there is swelling and the location of the swelling.

[0061] S2 If it is determined that there is a swollen area in the patient's neck, then based on the first neck status data, obtain the swelling status data for the swollen area.

[0062] If there is a swollen area in the patient's neck, then obtain the swelling status data for the swollen area. The swelling status data includes at least the swollen area and the degree of swelling.

[0063] Based on at least one of the above embodiments, extract the swollen area from the neck image data; calculate the number of pixels in the swollen area, and combine the resolution of the image to obtain the actual area of the swelling.

[0064] The degree of swelling can be evaluated by comparing the area of the swollen area with the area of the normal neck area. The calculation formula is:

[0065] In another implementation, the characteristics of the swollen area are used as a measure of the degree of swelling. For example, the characteristics of the swollen area can be compared with the preset characteristics of the normal area, and the severity of the swelling can be evaluated based on the magnitude of the difference in characteristics. Specifically, the characteristics of the swollen area are divided into multiple key factors such as roundness, height, length-width ratio, color, etc. The key factors of the swollen area are obtained respectively and compared with the preset thresholds. The characteristic thresholds of the normal area can be determined through historical data or clinical research, such as the normal range of roundness, standard height, length-width ratio, and color values.

[0066] The number of key factors with statistical deviations exceeding the preset threshold and the difference between each key factor and the preset threshold are counted to comprehensively evaluate the severity of the swelling. Further, different weights can be assigned to each key factor, and a total score can be calculated comprehensively. According to the score rating standard of the total score, the degree of swelling of the swollen area is obtained.

[0067] Among them, C represents roundness, H represents height, L / W represents length-width ratio, RGB represents color, and N represents any other possible key factor.

[0068] Specifically, for example, the length-width ratio of the normal area is 1.0 - 2.0.

[0069] The scoring for the length-width ratio is as follows: 1.0 ≤ L / W ≤ 1.5, recorded as 0 points.

[0070] 1.5 < L / W < 2.0, recorded as 1 point.

[0071] L / W ≤ 1.0 or L / W ≥ 2.0, recorded as 2 points.

[0072] The length-width ratio of the swollen area of a patient is 2.5, then it is recorded as 2 points.

[0073] Similarly, the scoring for roundness, height, and color is obtained as 2 points, 1 point, and 1 point respectively.

[0074] Then the total score = 0.8 + 0.3 + 0.4 + 0.1 = 1.6.

[0075] The scoring standard for the total score is, for example, 0 - 1.0: mild swelling;

[0076] 1.0 - 1.5: moderate swelling;

[0077] 1.5 - 2.0: severe swelling;

[0078] Then the swollen area of this patient is evaluated as "severe swelling".

[0079] S1 includes collecting the touch pressure data of the patient's neck on the neckband as the first neck state data, and determining whether there is a swollen area on the patient's neck.

[0080] The swollen area may be higher than the surface of the normal area. When a neckband is worn around the patient's neck, the touch pressure of the swollen area on the neckband will be greater than that of the normal area on the neckband. In addition, during the process of a normal area changing into a swollen area, greater touch pressure will also be exerted on the neckband due to the swelling of the skin.

[0081] Pressure sensors at different positions monitor the touch pressure values in real time, compare the collected touch pressure values with a preset threshold value. When the pressure value in this area exceeds the set threshold value and is higher than the pressure value of the adjacent area, it is determined that there may be swelling in this area.

[0082] In addition, summarize the touch pressure values at different time nodes, analyze their change trends. If the touch pressure value in a certain area shows an obvious upward trend in a short period of time, it may indicate the occurrence of swelling.

[0083] In addition to this, by comparing the touch pressures at different positions, it is possible to determine whether there is a swollen area on the patient's neck.

[0084] Similarly, in S2, if there is a swollen area on the patient's neck, based on the first neck state data, obtain the swelling condition data for the swollen area.

[0085] The area of the swollen area is obtained according to the distribution range of the pressure sensors that can detect the touch pressure.

[0086] Compare the touch pressure values collected by each pressure sensor with the preset threshold value. Only the sensors that exceed this threshold value are regarded as part of the swollen area. For example, the set threshold value is 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.

[0087] Then sensors 2 and 5 are not included in the swollen area.

[0088] Obtain the position information of all pressure sensors whose detected touch pressure values are greater than a preset threshold, and calculate the area of the closed figure formed by them. In this example, it is the area of the closed figure formed by sensors 1, 3, and 4. According to the sensor coordinate values, use the corresponding polygon area formula to calculate, and the area of the swollen area can be obtained.

[0089] The degree of swelling at different positions is evaluated according to the magnitude of the touch pressure detected by each pressure sensor.

[0090] Similarly, a corresponding scoring standard is also set for the touch pressure value to evaluate the degree of swelling.

[0091] Touch pressure values in different ranges correspond to different score values. For example:

[0092] Touch pressure value ≤ 10 Pa: Recorded as 0 points (normal)

[0093] 10 Pa < touch pressure value ≤ 20 Pa: Recorded as 1 point (mild swelling)

[0094] 20 Pa < touch pressure value ≤ 30 Pa: Recorded as 2 points (moderate swelling)

[0095] Touch pressure value > 30 Pa: Recorded as 3 points (severe swelling)

[0096] Then sensor 1 is scored 1 point, sensor 3 is scored 1 point, sensor 4 is scored 2 points, and the total score is 4 points.

[0097] The set standard for the total score of touch pressure values:

[0098] 0 - 3 points: Mild swelling;

[0099] 4 - 6 points: Moderate swelling;

[0100] 7 - 10 points: Severe swelling;

[0101] Then the degree of swelling of this patient is moderate swelling.

[0102] In addition to the neck image data described above, and the touch pressure data of the patient's neck on the neckband as the first neck state data, S2 also includes the touch pressure data of the patient's neck on the neckband. Then, the second neck state data is collected and added to the first neck state data.

[0103] Collect the neck swallowing process data of the patient during swallowing as the second neck state data.

[0104] The neck swallowing process data includes the movement data of neck muscles, swallowing sound data, the time data consumed by swallowing, and / or neck touch pressure data during the swallowing process. The acquisition can be triggered manually. For example, when the patient is about to undergo a swallowing test, the medical staff starts the acquisition of the neck swallowing process data, and all the data collected afterwards is regarded as the neck swallowing process data until the medical staff turns off the acquisition.

[0105] Alternatively, it can also be automatically triggered by automatically identifying the swallowing process.

[0106] Compared with the state when not performing swallowing, the patient's neck may have more obvious movements during swallowing. When the neck is monitored in real time through a pressure sensor or an image acquisition component, the movement of the neck is observed to identify the contraction and relaxation of the muscles. If an obvious change trend conforming to the swallowing characteristics is detected, it is determined that the patient is performing a swallowing action, and the acquisition of the swallowing process data is started. Since the monitoring is continuous, the time period spent on identifying the swallowing process can be traced back from the time node when the acquisition of the swallowing process data is started. For example, trace back 3 seconds, and the data within the traced-back time period is also aggregated with the data after startup as the swallowing process data.

[0107] After starting the swallowing process acquisition mode, the movement data of neck muscles, swallowing sound data, and the time data consumed by swallowing can all be acquired through the image acquisition component.

[0108] Similarly, when the patient performs different types of swallowing actions, such as dry swallowing, swallowing liquid, swallowing solids, etc., continuous video data of the patient's neck is recorded through the image acquisition component.

[0109] Optionally, before image acquisition, visual markers are used on the patient's neck muscles as visible key points to facilitate subsequent movement trajectory tracking.

[0110] Similar to the process of processing and analyzing the neck image data mentioned above, the key points of the neck muscles in the video data of the swallowing process are extracted, and the movement-related parameters such as the displacement, speed, and acceleration of the key points are analyzed. The movement-related parameters of the key points are compared with the preset movement data of normal neck muscles.

[0111] The audio in the collected video data is extracted as the swallowing sound data, and the frequency, intensity, and duration of the sound wave are analyzed. It is compared with the preset threshold, the sound waves greater than the preset threshold are screened out, and the time nodes corresponding to the sound waves are recorded.

[0112] The start frame and end frame of the swallowing action in the neck image data are identified, and the time interval between them is calculated as the time data consumed by swallowing.

[0113] During swallowing, the neck pressure data is collected by the pressure sensors set on the neckband.

[0114] Compare the above-mentioned neck swallowing process data collected with the preset normal neck swallowing process data. Based on the number of key points that do not conform to the normal value range and the magnitude of the deviation value from the normal value range, it is used as a reference for whether there is swelling in the neck and the severity of the swelling.

[0115] As an example, the corresponding scoring criteria are as follows:

[0116] If the number of key points that do not conform to the normal range is between 1 and 3, and the deviation value is relatively small (for example, the deviation value is within ±10% of the normal range), it is recorded as 1 point.

[0117] If the number of key points that do not conform to the normal range is between 4 and 6, and the deviation value is medium (for example, the deviation value is between ±10% - 30% of the normal range), it is recorded as 2 points.

[0118] If the number of key points that do not conform to the normal range exceeds 6, and the deviation value is large (for example, the deviation value exceeds ±30% of the normal range), it is recorded as 3 points.

[0119] S3 Based on the swelling condition data, evaluate the airway patency of the patient.

[0120] After aggregating the scores obtained from the second neck status data and the scores obtained from the aforementioned first neck status data, and respectively assigning weights to the area of the swollen area and the degree of swelling, perform a weighted operation, and evaluate the airway patency of the patient according to the operation result.

[0121] The weighted operation can be multiplication or addition.

[0122] For example, .

[0123] Among them, the swollen area is A, the degree of swelling is S, the weight of the swollen area is Wa, and the weight of the degree of swelling is WS.

[0124] As an example, the scoring criteria for the operation result are as follows:

[0125] For example, no swelling: total score is 0; airway patency is good

[0126] Mild swelling: total score is 0 - 5; the airway may be affected, but is usually still patent.

[0127] Moderate swelling: total score is 5 - 10; airway patency may be restricted, and close observation is required.

[0128] Severe swelling: total score > 10; airway patency is significantly restricted, and emergency intervention may be required.

[0129] The present invention provides a system adopting the automatic intervention method described in any one of the above, including a body position adjustment device, comprising:

[0130] A reflux risk management module for collecting the risk assessment result of whether a patient has the risk of esophageal reflux;

[0131] A target body position acquisition module for identifying the current body position of a patient in the case that the patient has the risk of esophageal reflux; based on the current body position, judging the target body position of the patient and generating a body position adjustment plan;

[0132] A body position adjustment module for adjusting the body position of the patient so that the limbs of the patient reach the characteristics of the positions conforming to the target body position in the body position adjustment plan.

[0133] Within the scope of the object of the present disclosure, terms such as "including" should be construed as inclusive or open by default, rather than exclusive or closed, unless it is explicitly defined to have the opposite meaning. All technical, scientific or other terms conform to the meanings understood by those skilled in the art, unless it is defined to have the opposite meaning. Common terms found in the dictionary should not be construed too idealistically or too unrealistically in the context of relevant technical documents, unless the present disclosure explicitly defines it as such.

[0134] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, in any aspect, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed claims.

[0135] In addition, it should be understood that although this specification is described according to the embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An airway patency assessment device, characterized in that include: A neck data collection component, for collecting neck status data, including an image collection component and / or a neck touch and pressure collection component; the neck status data includes touch and pressure data, image data, and neck swallowing process data; the neck swallowing process data includes neck muscle movement data, swallowing sound data, swallowing time data, and / or neck touch and pressure data during swallowing; The controller is used to determine whether there is a swollen area on the patient's neck based on the neck status data; if it is determined that there is a swollen area on the patient's neck, the controller obtains swelling status data for the swollen area based on the neck status data, and the swelling status data at least includes the swelling area and the degree of swelling; the controller is used to evaluate the patient's airway patency based on the swelling status data.

2. The airway patency assessment device according to claim 1, characterized in that: The neck contact pressure collection component comprises a neck girdle which can be put on the patient's neck; at least one pressure sensor is arranged on the side of the neck girdle facing the neck, and the contact pressure data of the neck on the neck girdle is detected by the pressure sensor.

3. The airway patency assessment device according to claim 1, 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.

4. The airway patency assessment device according to claim 1, characterized in that: The controller is used to determine whether there is a swollen area on the patient's neck based on the touch pressure data; if it is determined that there is a swollen area, the controller compares the touch pressure value detected by each pressure sensor with a preset threshold, and obtains the position information of the pressure sensor whose touch pressure value is greater than the preset threshold, and calculates the area of ​​the swollen area; and, based on the size of the touch pressure detected by each pressure sensor, the controller evaluates the degree of swelling in different positions.

5. The airway patency assessment device according to claim 1, characterized in that: The controller is used for comparing the neck swallowing process data with the preset standard neck swallowing process data, so as to obtain the swelling condition data for the swelling area.

6. The airway patency assessment device according to claim 1, characterized in that: The controller is used to assign weights to the area of ​​the swollen region and the degree of swelling respectively, perform weighted calculations, and evaluate the patient's airway patency based on the calculation results.

7. An airway patency assessment system, characterized in that: The system includes a neck data processing module and a risk assessment module. The neck data processing module collects the patient's neck status data; the neck status data includes touch and pressure data, image data and neck swallowing process data; the neck swallowing process data includes neck muscle movement data, swallowing sound data, swallowing time data and / or neck touch and pressure data during swallowing; Based on the collection results; determining whether there is a swollen area on the patient's neck; if there is a swollen area on the patient's neck, obtaining swelling condition data for the swollen area, wherein the swelling condition data at least includes the swelling area and the degree of swelling; The risk assessment module assesses the airway patency of the patient based on the swelling status data.

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