A control method and system of a non-invasive respirator and a terminal

Abstract

This application relates to a control method, system, and terminal for a non-invasive ventilator, falling within the technical field of ventilators. The method includes acquiring a mask wearing trigger signal; acquiring the area to be sealed and the corresponding gap depth based on the wearing trigger signal; finding the corresponding capsule number to be inflated in a preset capsule correspondence relationship based on the area to be sealed; analyzing the area to be sealed and the gap depth to determine the actual capsule inflation amount; associating the actual capsule inflation amount and the capsule number to be inflated to generate and output capsule sealing parameters; the capsule sealing parameters represent the inflation of the segmented capsule corresponding to the capsule number to be inflated with the actual capsule inflation amount to seal the area to be sealed. This application improves the comfort of the non-invasive ventilator mask.

Description

Technical Field

[0001] This application relates to the technical field of ventilators, and in particular to a control method, system and terminal for a non-invasive ventilator. Background Technology

[0002] Non-invasive ventilators are devices that provide respiratory support to patients through non-invasive methods such as face masks. They are suitable for patients who have spontaneous breathing but respiratory insufficiency.

[0003] In related technologies, leakage control after the non-invasive ventilator mask is worn is the key to ensuring the effectiveness of non-invasive ventilator treatment. Usually, there is a ring-shaped air bladder at the contact area between the mask and the patient's face. After the medical staff puts the mask on the patient's face, the ring-shaped air bladder is inflated, causing it to expand. The inflated ring-shaped air bladder can fill the gap between the mask and the patient's face, thereby reducing mask leakage and ensuring the effective treatment of the patient by the non-invasive ventilator.

[0004] Regarding the aforementioned technologies, inflating the annular airbag fills the gap between the mask and the patient's face, further sealing areas with gaps. However, in areas without gaps, the inflated annular airbag can compress the patient's face, causing discomfort and resulting in poor comfort of the non-invasive ventilator mask. There is still room for improvement. Summary of the Invention

[0005] To improve the comfort of non-invasive ventilator masks, this application provides a control method, system, and terminal for a non-invasive ventilator.

[0006] Firstly, this application provides a control method for a non-invasive ventilator, employing the following technical solution: A method for controlling a non-invasive ventilator includes: Obtain the mask wearing trigger signal; The area to be sealed and the corresponding gap depth are obtained based on the wearing trigger signal; Based on the area to be sealed, find the corresponding capsule number to be expanded in the preset area capsule correspondence relationship; The area requiring sealing and the depth of the gaps in that area are analyzed to determine the actual expansion of the capsule. The actual expansion amount of the capsule and the serial number of the capsule to be expanded are associated to generate and output capsule sealing parameters; the capsule sealing parameters represent the expansion of the segment capsules corresponding to the serial number of the capsule to be expanded with the actual expansion amount of the capsule to seal the area to be sealed.

[0007] Optionally, the step of obtaining the area to be sealed and the corresponding gap depth based on the wearing trigger signal includes: A depth detection signal is determined based on a wearing trigger signal; the depth detection signal represents the distance between the segmented capsule and the patient's face detected by a preset ranging array; The detection area and the corresponding average gap depth are determined based on the depth detection signal. Determine whether the average gap depth in the area meets the preset threshold for air-leakage gap depth. If the conditions are met, the corresponding area to be detected is removed. If the conditions are met, the area to be tested is identified as the area that needs to be sealed, and the average gap depth of the area is determined as the gap depth of the area.

[0008] Optionally, the step of determining the area to be detected and the corresponding average gap depth based on the depth detection signal includes: The region to be detected is determined based on the depth detection signal; The basic gap depth is obtained based on the area to be detected; The average depth of the basic gaps is calculated to generate the average gap depth for the region.

[0009] Optionally, the step of obtaining the basic gap depth based on the area to be detected includes: Facial morphological change instructions are determined based on the area to be detected; the facial morphological change instructions indicate that the patient should change their facial morphology to reveal the gap between the segmented capsule and the patient's face. The frequency of facial shape changes is obtained based on facial shape change commands. The basic detection depth is obtained based on the frequency of morphological changes. The basic detection depths are sorted and filtered to determine the depth of the basic gaps.

[0010] Optionally, the steps of analyzing the area to be sealed and the depth of the gaps in that area to determine the actual expansion of the capsule include: Obtain the skin condition correction coefficient for the area to be sealed; The depth of the regional gaps was analyzed to determine the expansion amount of the basic capsule; Calculate the product of the skin condition correction factor and the base capsule expansion amount to generate the actual capsule expansion amount.

[0011] Optionally, the steps for obtaining the skin condition correction factor for the area to be sealed include: The skin damage coefficient and corresponding location of the area to be sealed are obtained; Based on the corresponding location in the region, find the corresponding location tolerance coefficient in the preset location tolerance correspondence relationship; Obtain the individual difference coefficient; The skin condition correction coefficient is generated by multiplying the skin damage coefficient, location tolerance coefficient, and individual variability coefficient.

[0012] Optionally, the steps for obtaining the skin damage coefficient based on the area to be sealed include: Obtain multidimensional physiological parameters of the area to be sealed; The multidimensional physiological parameters are weighted and summed according to the preset skin damage weighting coefficients to generate a skin damage index; The skin damage index is calculated based on a pre-defined skin damage model to generate a skin damage coefficient.

[0013] Optionally, the step of analyzing the regional gap depth to determine the expansion amount of the base capsule includes: Obtain the real-time reference pressure of the mask; The real-time reference pressure, the preset basic sealing pressure difference, and the preset safety sealing pressure are analyzed to determine the sealing target pressure. The sealing target pressure and the depth of the regional gap are calculated based on the preset capsule expansion model to generate the basic capsule expansion amount. The expression for the capsule expansion model is: ; In the formula, Based on the expansion volume of the basic capsule, To seal the target pressure, The preset standard pressure, The initial volume of the capsule is preset. The preset capsule contact area, The depth of the gap in the region.

[0014] Secondly, this application provides a control system for a non-invasive ventilator, which adopts the following technical solution: A control system for a non-invasive ventilator, comprising: The acquisition module is used to acquire the wearing trigger signal, the area to be sealed, and the depth of the gap in the area; A memory for storing a program for a control method of a non-invasive ventilator as described in any of the preceding claims; The processor and the program in the memory can be loaded and executed by the processor to implement a control method for a non-invasive ventilator as described in any of the above.

[0015] Thirdly, this application provides a smart terminal, which adopts the following technical solution: A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any of the preceding claims for the control method of a non-invasive ventilator.

[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. By detecting the area to be sealed and the depth of the gap in the area, the corresponding capsule number to be expanded is found in the capsule correspondence of the area to be sealed. After analyzing the area to be sealed and the depth of the gap in the area, the actual expansion amount of the capsule is obtained. Then, the capsule sealing parameters are generated by associating the actual expansion amount of the capsule with the capsule number to be expanded. The segment capsule corresponding to the capsule number to be expanded is expanded with the actual expansion amount of the capsule to seal the area to be sealed, rather than expanding and sealing the whole capsule. This reduces the pressure on the patient's face and improves the comfort of the non-invasive ventilator mask. 2. By determining the area to be tested and the average gap depth of the area, if the average gap depth of the area meets the requirement of the no-leakage gap depth threshold, it indicates that the gap is small and the leakage in this area is negligible. Therefore, the corresponding area to be tested is removed to avoid capsule expansion and compression of the patient's face in this area. If the average gap depth of the area does not meet the requirement of the no-leakage gap depth threshold, the area to be tested is determined as the area to be sealed, and the average gap depth of the area is determined as the area gap depth, thereby improving the accuracy of the area to be sealed and the area gap depth. 3. After analyzing the depth of the gap in the area, the basic capsule expansion amount is obtained. Then, the skin condition correction coefficient of the area to be sealed is calculated. The product of the skin condition correction coefficient and the basic capsule expansion amount is calculated to obtain the actual capsule expansion amount. This reduces the amount of air leakage in the area and reduces damage to the patient's face, thereby improving the accuracy of the actual capsule expansion amount. Attached Figure Description

[0017] Figure 1 This is a flowchart of a control method for a non-invasive ventilator according to an embodiment of this application.

[0018] Figure 2 This is a flowchart of the steps in this application embodiment to obtain the area to be sealed and the corresponding gap depth based on the wearing trigger signal.

[0019] Figure 3 This is a flowchart of the steps in this application embodiment to determine the area to be detected and the corresponding average gap depth based on the depth detection signal.

[0020] Figure 4 This is a flowchart of the steps for obtaining the basic gap depth based on the area to be detected in the embodiments of this application.

[0021] Figure 5 This is a flowchart illustrating the steps in this application embodiment to analyze the area to be sealed and the depth of the gap in the area in order to determine the actual expansion amount of the capsule.

[0022] Figure 6 This is a flowchart of the steps for obtaining the skin condition correction coefficient of the area to be sealed in this embodiment of the application.

[0023] Figure 7 This is a flowchart of the steps for obtaining the skin damage coefficient based on the area to be sealed in this application embodiment.

[0024] Figure 8 This is a flowchart of the steps in this application embodiment to analyze the depth of the regional gap in order to determine the expansion amount of the basic capsule. Detailed Implementation

[0025] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 8 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0026] Reference Figure 1 This application discloses a control method for a non-invasive ventilator, comprising the following steps: Step S100: Obtain the mask wearing trigger signal.

[0027] Before filling the gap between the mask and the patient's face, it is necessary to ensure that the medical staff wears the mask on the patient's face according to the standard, and minimize the risk of mask leakage caused by factors other than the patient's facial features. Therefore, the mask wearing trigger signal is detected to determine the specific time to fill the gap between the mask and the patient's face.

[0028] The wearing trigger signal is the signal that the medical staff has put the mask on the patient's face according to the standard. In one embodiment, it is input by the medical staff on the human-machine interface of the non-invasive ventilator and received by the processing terminal. This method can minimize mask leakage caused by factors other than the patient's facial features. In another embodiment, it can be automatically generated by the position sensor on the mask when it detects that the mask is in place. This method is more convenient.

[0029] Step S101: Obtain the area to be sealed and the corresponding gap depth based on the wearing trigger signal.

[0030] After the wearing trigger signal is determined, the gap between the mask and the patient's face can be filled. The traditional filling method uses an air bladder set at the contact position between the mask and the face to inflate and fill the gap. However, this method fills the entire area. If there is no risk of air leakage in the area, the inflated air bladder will compress the patient's face and cause discomfort. Therefore, this application detects the area that needs to be sealed at the contact position between the mask and the patient's face and the corresponding gap depth. On the one hand, it determines the specific area between the mask and the patient's face that needs to be filled, and on the other hand, it determines the specific degree of filling required. This ensures that the area that needs to be filled is appropriately filled, which reduces the amount of air leakage from the mask and does not cause discomfort to the patient's face.

[0031] The area requiring sealing is the region between the mask and the patient's face that needs to be sealed. The depth of the gap in this area is the depth of the region requiring sealing. This depth is determined when the processing terminal receives a wearing trigger signal. The processing terminal then detects and analyzes the area between the mask and the patient's face in response to the wearing trigger signal. For specific methods, please refer to [reference needed]. Figure 2 The steps.

[0032] Step S102: Find the corresponding capsule number to be expanded in the preset region capsule correspondence relationship according to the region to be sealed.

[0033] Once the area requiring sealing is identified, it indicates that the area is prone to air leakage from the mask and therefore needs to be sealed. The corresponding capsule number that needs to be expanded is found in the capsule correspondence of the area to be sealed, so that the capsule specifically responsible for sealing the area can seal the area and ensure the airtightness of the area.

[0034] The regional capsule correspondence is the correspondence between different regions on the mask and the capsule serial numbers. For example, the regions on the mask include the bridge of the nose, left nasal wing, right nasal wing, left cheekbone, right cheekbone, left cheek, right cheek, and chin area. Each of these regions on the mask has segmented capsules. These segmented capsules are set independently and are coded with serial numbers. The operator maps the mask regions to the serial numbers of the segmented capsules to form a mapping table.

[0035] The segmented capsule is a capsule on the mask that seals the gap between the mask and the patient's face. It can be made of rubber and is placed on the mask at the contact position with the patient's face. Each segmented capsule is independently set and connected to an independent trachea and the air pump of the non-invasive ventilator, or it can be connected to a water pump. When filled with liquid, the segmented capsule expands. In this embodiment, gas is used as an example to ensure that the expansion amount of the segmented capsule is independently controlled and the responsible area is accurately filled.

[0036] The capsule number to be expanded is the number of the segment capsule on the mask that needs to be expanded to fill the gap between the mask and the patient's face. The processing terminal finds the capsule number in the mapping table corresponding to the area to be sealed based on the area to be sealed.

[0037] Step S103: Analyze the area to be sealed and the depth of the gap in the area to determine the actual expansion of the capsule.

[0038] In determining the depth of the gap in the area, it is necessary to clarify the size of the gap between the mask and the patient's face in the area to be sealed. Therefore, it is necessary to further analyze the gap depth in the area to be sealed based on the characteristics of the area to be sealed, and then obtain the actual expansion amount of the capsule. This ensures that after the segmented capsule expands, it can reduce the amount of air leakage in the area to be sealed without causing further damage to the area to be sealed.

[0039] The actual inflation volume of the capsule refers to the actual inflation volume of the segmented capsules responsible for the area to be sealed. This is obtained by the processing terminal after analyzing the area to be sealed and the depth of the gaps in that area. For specific methods, please refer to [reference needed]. Figure 5 The steps.

[0040] Step S104: Associate the actual expansion amount of the capsule with the serial number of the capsule to be expanded to generate and output the capsule sealing parameters.

[0041] Among them, the capsule sealing parameters are the specific control parameters of the segmented capsules. After determining the actual expansion volume of the capsule and the sequence number of the capsule to be expanded, a mapping table is formed by matching the actual expansion volume of the capsule and the sequence number of the capsule to be expanded one by one. The capsule sealing parameters are obtained and output. The processing terminal controls the air pump in the non-invasive ventilator to expand the segmented capsules corresponding to the sequence number of the capsule to be expanded according to the actual expansion volume of the capsule corresponding to the capsule sealing parameters. This allows the segmented capsules to fill the area to be sealed, thereby reducing air leakage in the area to be sealed and preventing further damage to the patient's face, thus improving the mask comfort of the non-invasive ventilator.

[0042] Reference Figure 2 The steps for obtaining the area to be sealed and the corresponding gap depth based on the wearing trigger signal include: Step S200: Determine the depth detection signal based on the wearing trigger signal.

[0043] The depth detection signal is a signal used to control the ranging array to detect the distance between the segmented capsules and the patient's face. After the processing terminal receives the wearing trigger signal, it responds to the wearing trigger signal by sending the depth detection signal stored in the processing terminal to the ranging array that detects the distance between each segmented capsule and the patient's face, thereby enabling the ranging array to detect the distance between the segmented capsules and the patient's face.

[0044] The ranging array is a device for detecting the distance between the segmented capsule and the patient's face. The ranging array can be an infrared ranging sensor array. By detecting the distance between the segmented capsule and the patient's face using the infrared ranging sensor array, the distance between the segmented capsule and the patient's face can be obtained.

[0045] Step S201: Determine the area to be detected and the corresponding average gap depth based on the depth detection signal.

[0046] In this process, after the processing terminal outputs the depth detection signal to the ranging array, the ranging array detects the area to be detected, obtains the average gap depth of the area, and determines the specific distance between the mask and the patient's face in the area to be detected. The greater the average gap depth of the area, the greater the distance between the mask and the patient's face, and the more air leakage the mask will have.

[0047] The area to be detected is the area between the mask and the patient's face where the distance to be detected is to be measured. This includes the bridge of the nose, left nasal wing, right nasal wing, left cheekbone, right cheekbone, left cheek, right cheek, and chin area. Each area is equipped with an independently numbered distance measuring array, which is responsible for detecting the distance between the mask and the patient's face within that area.

[0048] The average gap depth in the region is the average distance between the mask and the patient's face within the area to be tested, calculated by a ranging array. For specific methods, please refer to [reference needed]. Figure 3 The steps.

[0049] Step S202: Determine whether the average gap depth of the area meets the preset threshold for the depth of a leak-free gap.

[0050] Among them, the no-leakage gap depth threshold is the maximum distance between the mask and the patient's face where the amount of leakage will not affect the treatment effect. Taking 0.5 mm as an example, the requirement for the no-leakage gap depth threshold is not greater than the no-leakage gap depth threshold.

[0051] After determining the average gap depth in the region, the processing terminal judges whether the average gap depth in the region is not greater than the no-leakage gap depth threshold, thereby determining whether the distance between the mask and the patient's face in the area to be tested is too large, which may cause excessive air leakage from the mask and affect the treatment effect of the non-invasive ventilator.

[0052] Step S2021: If the condition is met, the corresponding region to be detected is removed.

[0053] If the average gap depth of the area determined by the processing terminal is not greater than the threshold for no-leak gap depth, it indicates that the distance between the mask and the patient's face in the area to be tested is small, the amount of air leakage from the mask in this area is small, and it will not affect the treatment effect of the non-invasive ventilator. Therefore, the area to be tested does not need to be filled, thereby eliminating the corresponding area to be tested and avoiding the expansion of the segmented capsule to compress the patient's face in this area, which would cause discomfort to the patient.

[0054] Step S2022: If the conditions are met, the area to be tested is determined as the area to be sealed, and the average gap depth of the area is determined as the gap depth of the area.

[0055] If the average gap depth of the area determined by the processing terminal is greater than the threshold for no-leakage gap depth, it indicates that the distance between the mask and the patient's face in the area to be tested is large, and the amount of air leakage from the mask in this area is large, which will affect the treatment effect of the non-invasive ventilator. Therefore, the area to be tested needs to be filled, thereby determining the area to be tested as the area to be sealed, and the average gap depth of the area corresponding to the area to be tested is determined as the area gap depth.

[0056] Reference Figure 3The steps for determining the area to be detected and the corresponding average gap depth based on the depth detection signal include: Step S300: Determine the area to be detected based on the depth detection signal.

[0057] In this process, after the processing terminal generates a depth detection signal, the processing terminal responds to the depth detection signal and calls the area to be detected of the mask to ensure that all areas of the mask are detected, preventing omissions that could lead to inaccurate calculation of mask leakage.

[0058] Step S301: Obtain the basic gap depth based on the area to be detected.

[0059] The basic gap depth is the distance between each location in the detection area and the patient's face. In one embodiment, after determining the detection area, the processing terminal controls the ranging array in the detection area to directly detect the distance between each location in the detection area and the patient's face. However, because patients may talk or perform other actions, their facial expressions may change, making the directly detected basic gap depth inaccurate when the patient's face changes. Therefore, in another embodiment, the processing terminal guides the patient's face to change. After the facial expression changes, the ranging array then detects the distance between each location in the detection area and the patient's face to obtain the basic gap depth. The specific method is described in [reference needed]. Figure 4 The steps.

[0060] Step S302: Calculate the average depth of the basic gaps to generate the average gap depth of the region.

[0061] In this step, the average gap depth of the region is consistent with the average gap depth of the region in step S201. It is obtained by averaging the basic gap depth by the processing terminal. This avoids the situation where the minimum depth is used as the benchmark, resulting in large gaps that cannot be effectively filled, and also avoids the situation where the maximum depth is used as the benchmark, resulting in excessive pressure on small gaps.

[0062] Reference Figure 4 The steps for obtaining the basic gap depth based on the area to be detected include: Step S400: Determine facial morphological change instructions based on the area to be detected.

[0063] In this process, after the processing terminal calls the area to be detected, it calls the facial shape change command, thereby guiding the patient's facial shape to change. In this state, the gap between the patient's face and the mask, which cannot be seen in the static state, will appear, thus avoiding omissions.

[0064] The facial shape change instruction is a command that guides the patient to change their facial shape to reveal the gap between the segmented capsule and the patient's face. It is stored by the operator in the processing terminal.

[0065] Step S401: Obtain the frequency of facial shape changes based on facial shape change instructions.

[0066] In this process, after the processing terminal invokes the facial shape change command, it outputs the information contained in the facial shape change command in the form of voice. For example, the facial shape change command guides the patient to slowly repeat the vowel. During the patient's repetition, the facial shape changes significantly, and the gap between the mask and the face can be fully displayed. Therefore, the frequency of shape change is detected, which provides data support for how to detect the size of the gap between the mask and the face under different shapes.

[0067] The morphological change frequency is the frequency of changes in the patient's facial morphology. The frequency at which the patient repeats the text is detected by a microphone. Since the frequency of the patient repeating the text is consistent with the frequency of changes in facial morphology, the frequency at which the patient repeats the text is determined as the morphological change frequency.

[0068] Step S402: Obtain the basic detection depth based on the morphological change frequency.

[0069] After determining the morphological change frequency, the processing terminal controls the ranging array to detect the area to be detected based on the morphological change frequency, thereby obtaining the basic detection depth and ensuring that the ranging array can detect the depth of the hidden gap in the area to be detected.

[0070] The basic detection depth is the gap depth at various locations under different shapes of the area to be detected, which is obtained by the processing terminal controlling the ranging array to detect the area to be detected according to the frequency of shape change.

[0071] Step S403: Sort and filter the basic detection depths to determine the basic gap depth.

[0072] In this step, the basic gap depth is consistent with that in step S301. After determining the basic detection depth, the distance between each position in the detection area and the face is determined under different facial shapes. In order to ensure that the leakage is minimized even after the patient's facial shape changes, the basic detection depth is sorted to select the maximum distance between each position in the detection area and the face. The maximum distance is determined as the basic gap depth, so as to ensure that even if the patient's facial shape changes after the segmented capsule expands, the segmented capsule can still effectively fill the gap between the mask and the face.

[0073] Reference Figure 5 The steps for analyzing the area to be sealed and the depth of the gaps in that area to determine the actual expansion of the capsule include: Step S500: Obtain the skin condition correction coefficient for the area to be sealed.

[0074] The skin condition correction coefficient is a correction factor for the expansion amount of the segmented capsule based on the skin condition of the area to be sealed and the condition of the personnel. A worse skin condition indicates skin damage in the area to be sealed; therefore, a smaller skin condition correction coefficient reduces the expansion amount of the segmented capsule, preventing further damage to the skin in the area to be sealed. For specific methods of obtaining this coefficient, please refer to [link to relevant documentation]. Figure 6 The steps.

[0075] Step S501: Analyze the depth of the regional gap to determine the expansion amount of the basic capsule.

[0076] The basic capsule expansion capacity refers to the segmented capsule inflation capacity considering only the gap size. This capacity is calculated by the processing terminal based on the regional gap depth analysis. A larger gap depth indicates a larger volume to be filled, thus requiring a larger segmented capsule inflation capacity. The specific calculation method is detailed in [reference needed]. Figure 8 The steps.

[0077] Step S502: Calculate the product of the skin condition correction factor and the base capsule expansion amount to generate the actual capsule expansion amount.

[0078] In this process, after determining the skin condition correction coefficient and the basic capsule expansion amount, the processing terminal calculates the product of the skin condition correction coefficient and the basic capsule expansion amount to obtain the actual capsule expansion amount. This allows for the correction of the capsule inflation amount based on the patient's facial skin condition and individual condition, thereby reducing air leakage in the sealed areas while minimizing the damage to the patient's skin caused by segmented capsule expansion.

[0079] Reference Figure 6 The steps for obtaining the skin condition correction coefficient for the area to be sealed include: Step S600: Obtain the skin damage coefficient and the corresponding location of the area to be sealed.

[0080] The skin damage coefficient is a correction factor for the inflation volume of the segmented capsules based on the skin damage condition. The more severe the skin damage, the smaller the skin damage coefficient, thus reducing the inflation volume of the segmented capsules and preventing further damage to the sealing area due to capsule expansion. This coefficient is obtained after detecting and calculating the sealing area; the specific method is described in [reference needed]. Figure 7 The steps.

[0081] The corresponding area is the facial location corresponding to the area that needs to be sealed. For example, if the area to be sealed is the bridge of the nose, then the corresponding area is the bridge of the nose. Determining the corresponding area can clarify the tolerance of the facial location corresponding to the area that needs to be sealed, and thus adjust the inflation volume of the segmented capsule according to the tolerance of the pressure location.

[0082] Step S601: Find the corresponding location tolerance coefficient in the preset location tolerance correspondence relationship according to the location of the region.

[0083] Among them, the position tolerance correspondence is the correspondence between different facial positions and position tolerance coefficients. For example, the bridge of the nose has thin skin, little fat, and prominent bones, so the tolerance level is low. Therefore, the position tolerance coefficient of the bridge of the nose is 0.6. The skin on the left and right sides of the nose is thin and supported by cartilage, so the position tolerance coefficient is 0.7. The skin on the left and right cheeks is thick and has more fat, so the tolerance level is high, and the position tolerance coefficient is 1. The operator will form a mapping table by matching the corresponding positions of the regions with the position tolerance coefficients.

[0084] The position tolerance coefficient is a correction factor for the inflation volume of segmented capsules based on the degree of facial position tolerance corresponding to the area to be sealed. The lower the facial tolerance, the lower the position tolerance coefficient, and the lower the inflation volume of the segmented capsules, thereby avoiding damage to the patient's face.

[0085] Step S602: Obtain the individual difference coefficient.

[0086] The individual difference coefficient is a correction factor for the inflation volume of the segmented capsules due to individual patient differences. It is determined by medical staff based on the patient's age and disease status. The older the patient is, the smaller the correction factor is, and the two are inversely proportional. The specific ratio is determined by the operator based on the actual situation. If the patient has a disease such as diabetes that makes wounds difficult to heal, the correction factor is further reduced according to the set disease correction degree to finally obtain the individual difference coefficient, thereby ensuring that the segmented capsules will not cause further harm to the patient after inflation.

[0087] Step S603: Calculate the product of the skin damage coefficient, location tolerance coefficient, and individual variability coefficient to generate the skin condition correction coefficient.

[0088] In this step, the skin condition correction coefficient is consistent with that in step S500. It is obtained by the processing terminal by multiplying the skin damage coefficient, the location tolerance coefficient, and the individual difference coefficient. This unifies the multi-dimensional parameters of whether the patient's skin condition can withstand pressure, the upper limit of the pressure that the patient's skin can withstand, and other consequences that the patient will suffer from pressure. This determines the degree of reduction in the inflation volume of the segmented capsule and avoids further harm to the patient.

[0089] Reference Figure 7 The steps for obtaining the skin damage coefficient based on the area to be sealed include: Step S700: Obtain multidimensional physiological parameters of the area to be sealed.

[0090] Among them, the multidimensional physiological parameters are normalized values ​​of parameters related to facial skin and skin damage in the area to be sealed, including skin erythema index, edema index, temperature difference and humidity index.

[0091] The skin erythema index is a normalized value of the degree of dilation of skin capillaries. It is obtained by detecting the facial skin corresponding to the area to be sealed through multispectral imaging. The more skin erythema there is, the higher the skin erythema index is, and the greater the degree of skin damage.

[0092] The edema index is a normalized value of the degree of skin edema. It is obtained by detecting the facial skin corresponding to the area that needs to be sealed through multispectral imaging. The higher the degree of skin edema, the larger the edema index and the greater the degree of skin damage.

[0093] The temperature difference is the normalized value of the temperature difference between the facial skin in the sealed area and the average facial temperature. The larger the temperature difference, the greater the inflammation and damage to the skin in that area.

[0094] The humidity index is a normalized value of the relative humidity of the skin surface. The higher the humidity index, the more pus is present in the area of ​​skin and the greater the degree of skin damage.

[0095] Step S701: Weight the multidimensional physiological parameters according to the preset skin damage weight coefficient to generate a skin damage index.

[0096] After determining the multidimensional physiological parameters, it is necessary to uniformly analyze the multidimensional physiological parameters, determine the skin damage index of the facial skin corresponding to the area to be sealed, determine the degree of skin damage, and provide benchmark data for determining whether the skin can withstand pressure.

[0097] The skin damage weighting coefficient represents the weight of multidimensional skin parameters in determining the degree of skin damage. The weight of erythema index is 0.5, the weight of edema index is 0.25, the weight of temperature difference is 0.15, and the weight of humidity index is 0.1. It is obtained by fitting a large amount of multidimensional data on skin damage to determine the degree of damage.

[0098] The skin damage index represents the degree of damage to the facial skin corresponding to the area to be sealed. The higher the skin damage index, the greater the degree of skin damage. It is obtained by the processing terminal by weighting and summing multidimensional physiological parameters according to the skin damage weighting coefficient, thereby unifying the multidimensional parameters of the skin and ensuring the accuracy of the skin damage index.

[0099] Step S702: Calculate the skin damage index based on the preset skin damage model to generate the skin damage coefficient.

[0100] Among them, the skin damage model is a model for calculating the correction coefficient of the skin damage degree to the inflation volume of the segmented capsules, and the specific expression is as follows: .

[0101] In the formula, The skin damage coefficient, This is a skin damage index.

[0102] Substituting the skin damage index into the skin damage model, if the skin damage index is less than 0.2, it indicates that the skin is normal and can withstand pressure, so the skin damage coefficient is set to 1, and the inflation volume of the segmented capsule is not reduced; if the skin damage index is between 0.2 and 0.5, the inflation volume is reduced from 100% to 85% to reduce pressure on the skin; if the skin damage index is between 0.5 and 0.8, the inflation volume is reduced from 85% to 49%, significantly reducing pressure on the skin; if the skin damage index is between 0.8 and 0.95, the inflation volume is reduced from 49% to 0, thereby avoiding skin ulceration.

[0103] Reference Figure 8 The steps for analyzing the depth of the regional gaps to determine the expansion amount of the base capsule include: Step S800: Obtain the real-time reference pressure of the mask.

[0104] In determining the inflation amount of the segmented capsules based on the size of the gap between the mask and the face, it is necessary to ensure that the pressure of the segmented capsules is slightly higher than that of the mask to prevent air leakage after the segmented capsules expand. Therefore, the real-time reference pressure of the mask is detected to constrain the inflation pressure of the segmented capsules and further constrain the inflation amount of the segmented capsules.

[0105] The real-time reference pressure is the real-time pressure of the mask, which is detected in real time by a pressure sensor installed inside the mask and sent to the processing terminal. The higher the real-time reference pressure, the higher the pressure required for the segmented capsules to ensure that the airflow inside the mask does not leak from the segmented capsule area.

[0106] Step S801: Analyze the real-time reference pressure, the preset basic sealing pressure difference, and the preset safety sealing pressure to determine the sealing target pressure.

[0107] Among them, the basic sealing pressure difference is the minimum pressure difference that ensures the mask will not leak after the segmented capsule expands. Taking 3cmH2O as an example, when the difference between the pressure of the segmented capsule and the pressure inside the mask is greater than this value, it can effectively prevent the gas inside the mask from leaking out from the segmented capsule.

[0108] The safe sealing pressure is the upper limit of the safe pressure on facial skin tissue. Taking 43cmH2O as an example, when the pressure of the segmented capsule is close to or greater than this value, it can easily cause facial damage.

[0109] The target sealing pressure is the minimum segmented capsule pressure that ensures a good seal and prevents damage to the face. The processing terminal calculates the sum of the real-time reference pressure and the basic sealing pressure difference to obtain the pressure that effectively prevents leakage. This pressure is then compared with the safe sealing pressure, and the smaller value is determined as the target sealing pressure, which satisfies both sealing and safety requirements.

[0110] Step S802: Calculate the sealing target pressure and the depth of the regional gap based on the preset capsule expansion model to generate the basic capsule expansion amount.

[0111] The capsule expansion model is a model for calculating the maximum volume of a capsule, and its specific expression is as follows: .

[0112] In the formula, Based on the expansion volume of the basic capsule, To seal the target pressure, The preset standard pressure is obtained by converting standard atmospheric pressure into non-invasive ventilator pressure units. The initial volume of the capsule is preset. The preset capsule contact area is obtained by the operator by referring to the mask instruction manual. The depth of the gap in the region.

[0113] The basic capsule expansion amount in this step is the same as that in step S501. It is calculated by the processing terminal by substituting the sealing target pressure and the area gap depth into the capsule expansion model. The greater the sealing target pressure and the greater the area gap depth, the greater the required inflation amount.

[0114] Based on the same inventive concept, embodiments of this application provide a control system for a non-invasive ventilator, comprising: The acquisition module is used to acquire the wearing trigger signal, the area to be sealed, the depth of the area gap, the basic gap depth, the frequency of morphological changes, the basic detection depth, the skin condition correction coefficient, the skin damage coefficient, the corresponding location of the area, the individual difference coefficient, multidimensional physiological parameters, and the real-time reference pressure. A memory for storing a program for controlling a non-invasive ventilator; The processor is a program that can be loaded and executed by the processor to implement a control method for a non-invasive ventilator.

[0115] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0116] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as a control method for a non-invasive ventilator.

[0117] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.

[0118] Based on the same inventive concept, embodiments of this application provide a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as a control method for a non-invasive ventilator.

[0119] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0120] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A control method for a non-invasive ventilator, characterized in that, include: Obtain the mask wearing trigger signal; The area to be sealed and the corresponding gap depth are obtained based on the wearing trigger signal; Based on the area to be sealed, find the corresponding capsule number to be expanded in the preset area capsule correspondence relationship; The area requiring sealing and the depth of the gaps in that area are analyzed to determine the actual expansion of the capsule. The actual expansion amount of the capsule and the serial number of the capsule to be expanded are associated to generate and output capsule sealing parameters; the capsule sealing parameters represent the expansion of the segment capsules corresponding to the serial number of the capsule to be expanded with the actual expansion amount of the capsule to seal the area to be sealed.

2. The control method for a non-invasive ventilator according to claim 1, characterized in that, The steps for obtaining the area to be sealed and the corresponding gap depth based on the wearing trigger signal include: A depth detection signal is determined based on a wearing trigger signal; the depth detection signal represents the distance between the segmented capsule and the patient's face detected by a preset ranging array; The detection area and the corresponding average gap depth are determined based on the depth detection signal. Determine whether the average gap depth in the area meets the preset threshold for air-leakage gap depth. If the conditions are met, the corresponding area to be detected is removed. If the conditions are met, the area to be tested is identified as the area that needs to be sealed, and the average gap depth of the area is determined as the gap depth of the area.

3. The control method for a non-invasive ventilator according to claim 2, characterized in that, The steps for determining the region to be detected and the corresponding average gap depth based on the depth detection signal include: The region to be detected is determined based on the depth detection signal; The basic gap depth is obtained based on the area to be detected; The average depth of the basic gaps is calculated to generate the average gap depth for the region.

4. The control method for a non-invasive ventilator according to claim 3, characterized in that, The steps for obtaining the basic gap depth based on the area to be detected include: Facial morphological change instructions are determined based on the area to be detected; the facial morphological change instructions indicate that the patient should change their facial morphology to reveal the gap between the segmented capsule and the patient's face. The frequency of facial shape changes is obtained based on facial shape change commands. The basic detection depth is obtained based on the frequency of morphological changes. The basic detection depths are sorted and filtered to determine the depth of the basic gaps.

5. The control method for a non-invasive ventilator according to claim 1, characterized in that, The steps for analyzing the area to be sealed and the depth of the gaps in that area to determine the actual expansion of the capsule include: Obtain the skin condition correction coefficient for the area to be sealed; The depth of the regional gaps was analyzed to determine the expansion amount of the basic capsule; Calculate the product of the skin condition correction factor and the base capsule expansion amount to generate the actual capsule expansion amount.

6. The control method for a non-invasive ventilator according to claim 5, characterized in that, The steps to obtain the skin condition correction factor for the area to be sealed include: The skin damage coefficient and corresponding location of the area to be sealed are obtained; Based on the corresponding location in the region, find the corresponding location tolerance coefficient in the preset location tolerance correspondence relationship; Obtain the individual difference coefficient; The skin condition correction coefficient is generated by multiplying the skin damage coefficient, location tolerance coefficient, and individual variability coefficient.

7. The control method for a non-invasive ventilator according to claim 6, characterized in that, The steps for obtaining the skin damage coefficient based on the area requiring sealing include: Obtain multidimensional physiological parameters of the area to be sealed; The multidimensional physiological parameters are weighted and summed according to the preset skin damage weighting coefficients to generate a skin damage index; The skin damage index is calculated based on a pre-defined skin damage model to generate a skin damage coefficient.

8. The control method for a non-invasive ventilator according to claim 5, characterized in that, The steps for analyzing the regional gap depth to determine the expansion amount of the base capsule include: Obtain the real-time reference pressure of the mask; The real-time reference pressure, the preset basic sealing pressure difference, and the preset safety sealing pressure are analyzed to determine the sealing target pressure. The sealing target pressure and the depth of the regional gap are calculated based on the preset capsule expansion model to generate the basic capsule expansion amount. The expression for the capsule expansion model is: ； In the formula, Based on the expansion volume of the basic capsule, To seal the target pressure, The preset standard pressure, The initial volume of the capsule is preset. The preset capsule contact area, The depth of the gap in the region.

9. A control system for a non-invasive ventilator, characterized in that, include: The acquisition module is used to acquire the wearing trigger signal, the area to be sealed, and the depth of the gap in the area; A memory for storing a program for a control method of a non-invasive ventilator as described in any one of claims 1 to 8; The processor and the program in the memory can be loaded and executed by the processor to implement the control method of a non-invasive ventilator as described in any one of claims 1 to 8.

10. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as any one of claims 1 to 8 for controlling a non-invasive ventilator.

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