Pressure monitoring patch and processing method and system thereof

Abstract

The invention provides a pressure monitoring patch and a processing method and system thereof, and relates to the technical field of medical monitoring, and the pressure monitoring patch comprises a pressure buffer body which is provided with a pasting contact surface, and the pasting contact surface is attached to a user monitoring part; the pressure monitor is arranged in the pressure buffer body and is used for sensing and monitoring the pressure of the monitored part of the user; the chemical parameter monitor is arranged in the pressure buffer body and is used for sensing and monitoring chemical parameters of the monitored part of the user; and the data receiving processor is connected with the pressure monitor and the chemical parameter monitor, receives the monitoring sensing data of the pressure monitor and the chemical parameter monitor, and analyzes and processes the monitoring sensing data to obtain a monitoring feedback result. The technical problems that in the prior art, a real-time monitoring, early warning and prevention means for the stress damage is lacked, and the stress damage cannot be effectively found and prevented in advance are solved, and the comprehensiveness, the accuracy and the early warning response speed of stress damage monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical monitoring technology, and in particular to a pressure monitoring patch and a processing method and system thereof. Background Art

[0002] Pressure injury is a problem that seriously affects patients' health, especially for people who are bedridden for a long time or have limited mobility. Long-term local tissue compression will affect the patient's blood circulation and tissue nutrition supply.

[0003] Existing methods for monitoring pressure injuries are relatively limited. Some traditional methods rely on regular visual inspections by medical staff, which is highly subjective and cannot achieve real-time monitoring. Some monitoring devices usually only record pressure parameters and do not conduct comprehensive and continuous monitoring of pressure or related physiological parameters (such as humidity, temperature, oxygen and temperature) in the early stages of injury. At the same time, these monitoring devices can only provide static feedback, without dynamic analysis and processing of data, making it difficult to accurately assess the risk of pressure injuries, identify potential pressure injuries, and promptly remind medical staff or patients to take preventive measures. Summary of the invention

[0004] The present application provides a pressure monitoring patch and its processing method and system, which solves the technical problems in the prior art that there is a lack of real-time monitoring, early warning and prevention measures for pressure injuries, and it is difficult to effectively detect and prevent pressure injuries in advance, and achieves the technical effect of improving the comprehensiveness, accuracy and early warning response speed of pressure injury monitoring.

[0005] In view of the above problems, on the one hand, the present application provides a pressure monitoring patch, which includes: a pressure buffer body, the pressure buffer body having an adhesive contact surface, and the adhesive contact surface is attached to the user's monitoring part; a pressure monitor, the pressure monitor is arranged in the pressure buffer body, and is used to sense and monitor the pressure of the user's monitoring part; a chemical parameter monitor, the chemical parameter monitor is arranged in the pressure buffer body, and is used to sense and monitor the chemical parameters of the user's monitoring part; a data receiving processor, the data receiving processor is connected to the pressure monitor and the chemical parameter monitor, receives the monitoring sensor data of the pressure monitor and the chemical parameter monitor, and analyzes and processes the received monitoring sensor data to obtain monitoring feedback results.

[0006] On the other hand, the present application also provides a processing method for a pressure monitoring patch, the method comprising: obtaining a pressure injury sample data set, the pressure injury sample data set comprising monitoring parameters: injury surface pressure magnitude, pressure duration, humidity, temperature, oxygen and degree, and corresponding pressure injury degree; based on the pressure injury degree, fitting the relationship between each monitoring parameter and the pressure injury degree of the pressure injury sample data set to obtain a damage threshold of each monitoring parameter; performing a damage assessment on the received real-time monitoring sensor data using the damage threshold of each monitoring parameter to obtain a damage assessment result; based on the damage assessment result, generating a damage warning feedback result according to the corresponding relationship between the pressure injury degree.

[0007] In the third aspect, the present application also provides a processing system for a pressure monitoring patch, the system comprising: an injury sample data acquisition module, used to obtain a pressure injury sample data set, the pressure injury sample data set comprising monitoring parameters: injury surface pressure size, pressure duration, humidity, temperature, oxygen and degree and the corresponding pressure injury degree; an injury threshold determination module, used to fit the relationship between each monitoring parameter and the pressure injury degree of the pressure injury sample data set based on the pressure injury degree, and obtain the injury threshold of each monitoring parameter; an injury assessment module, used to perform injury assessment on the received real-time monitoring sensor data based on the injury threshold of each monitoring parameter, and obtain an injury assessment result; an injury warning module, used to generate an injury warning feedback result according to the injury assessment result and the corresponding relationship between the pressure injury degree.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The pressure buffer body is attached to the user's monitoring part, and the pressure (vertical pressure, shear force, friction force) and chemical parameters (such as humidity, temperature, oxygen and degree) are monitored simultaneously through the pressure monitor and chemical parameter monitor inside the pressure buffer body. This multi-dimensional monitoring method can obtain and provide comprehensive and accurate user health data. The data receiving processor receives the monitoring sensor data of the pressure monitor and the chemical parameter monitor, analyzes and processes the received monitoring sensor data, generates monitoring feedback results, and feeds back potential injury risks to the user or caregiver in real time. This real-time feedback mechanism significantly improves the response speed of pressure injuries and can take preventive measures in time before the injury occurs.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic diagram of the structure of a pressure monitoring patch provided in an embodiment of the present application.

[0012] Figure 2 A schematic flow chart of a pressure monitoring patch processing system provided in an embodiment of the present application.

[0013] Figure 3 A schematic diagram of the structure of a pressure monitoring patch processing system provided in an embodiment of the present application.

[0014] Explanation of the reference numerals: pressure buffer body 11 , pressure monitor 111 , chemical parameter monitor 112 , data receiving processor 12 , damage sample data acquisition module 31 , damage threshold determination module 32 , damage assessment module 33 , damage warning module 34 . DETAILED DESCRIPTION

[0015] The overall idea of ​​the technical solution provided by this application is as follows:

[0016] The user's skin pressure, humidity, temperature, tissue oxygen and other parameters are monitored in real time through pressure sensors and chemical parameter sensors. The monitoring data is analyzed and processed to obtain monitoring feedback results. Based on the monitoring feedback results, it is determined whether pressure injuries are likely to occur in the monitored area, and early warning feedback is given.

[0017] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0018] Embodiment 1, as Figure 1 As shown, an embodiment of the present application provides a pressure monitoring patch, and the pressure monitoring patch includes:

[0019] The pressure buffer body 11 has an adhesive contact surface, and the adhesive contact surface is attached to the user's monitoring part.

[0020] Specifically, the pressure buffer body 11 is the main structural part of the pressure monitoring patch, and is usually made of soft and elastic materials, such as silicone, polyurethane foam, etc. The pressure buffer body 11 can play a buffering role between the user and the monitoring area, reduce the direct impact of external pressure on the skin and tissue, and provide a stable placement space for the internal monitor.

[0021] The user monitoring parts are usually areas of the body that are prone to pressure injuries, usually bony protrusions, such as the buttocks, heels, back, or other parts that are subjected to pressure for a long time. These parts are the target areas for monitoring pressure injuries, and the pressure buffer body 11 is fixed to these parts through the adhesive contact surface. The adhesive contact surface usually uses a medical-grade adhesive material, such as medical tape or glue, to ensure that no allergic reactions or discomfort will be caused during the adhesive process.

[0022] The pressure monitor 111 is disposed in the pressure buffer body 11 and is used for sensing and monitoring the pressure of a user's monitoring part.

[0023] Specifically, the pressure monitor 111 is a device that can sense relevant parameters such as the size and direction of pressure. It is placed in the pressure buffer body 11, and uses the built-in force sensor to detect the pressure on the user's monitoring parts (such as buttocks, heels, etc.) in real time, and converts the measured pressure data into electrical signals for analysis by the data processing system. Among them, the force sensor includes a pressure sensor, a shear force sensor, and a friction force sensor.

[0024] A chemical parameter monitor 112 is disposed in the pressure buffer body 11 and is used for sensing and monitoring chemical parameters of a user's monitoring area.

[0025] Specifically, the chemical parameter monitor 112 is a device that can monitor the chemical state changes of the skin or tissue. It is also placed inside the pressure buffer body 11. It senses the chemical changes on the skin surface in real time through the internal chemical sensors, such as humidity, temperature, oxygen and humidity, and other physiological parameters, and converts the measured physiological parameters into electrical signals for analysis by the data processing system to further determine whether there are health risks to the skin or tissue. Chemical sensors include humidity sensors, temperature sensors, oxygen and humidity sensors, etc. Among them, the humidity sensor can measure the moisture changes on the skin surface, the temperature sensor can monitor the temperature of the area, and the oxygen and humidity sensors are used to detect the blood oxygen supply status of the skin or tissue.

[0026] The data receiving processor 12 is connected to the pressure monitor 111 and the chemical parameter monitor 112, receives the monitoring sensor data of the pressure monitor 111 and the chemical parameter monitor 112, and analyzes and processes the received monitoring sensor data to obtain monitoring feedback results.

[0027] Specifically, the data receiving processor 12 is an electronic device responsible for receiving, processing and analyzing the monitoring data from the pressure monitor 111 and the chemical parameter monitor 112, including components such as a microprocessor, a memory and a signal processing unit. The data receiving processor 12 converts the analog signal or digital signal collected by the sensor, applies a specific algorithm to analyze and process it, and finally generates a monitoring feedback result. For example, the data receiving processor 12 can use a threshold comparison algorithm to identify abnormal conditions and generate monitoring feedback results when the pressure value transmitted by the pressure monitor 111 exceeds a certain set threshold, or the humidity value transmitted by the chemical parameter monitor 112 is not within the normal range. These monitoring feedback results can be an assessment of whether there is a risk of pressure injury in the monitored area, or early warning information for this risk.

[0028] Furthermore, the pressure monitoring patch described in the embodiment of the present application also includes:

[0029] The warning display is connected to the data receiving processor 12 and displays warning reminders according to the monitoring feedback results.

[0030] Specifically, the early warning display is a device used to display and feedback monitoring results, with a visual display function, and can provide real-time warning information based on the input monitoring feedback results. The early warning display can be a screen, display, LED indicator, etc., and provides clear early warnings to nursing staff through different display forms, such as text, icons, color changes, etc.

[0031] During the operation of the pressure monitoring patch, the warning display is connected to the data receiving processor 12, receives the monitoring feedback results transmitted by the data receiving processor 12, and then displays the alarm information to the caregiver in a visual manner. For example, if the pressure value of the buttocks exceeds the safe range, the display may flash a red warning light and display a text warning, such as "The buttocks pressure is too high, which may cause pressure injury, please adjust the body position immediately."

[0032] Furthermore, the data receiving processor 12 and the warning display are arranged in a communication terminal.

[0033] Specifically, the combination of the data receiving processor 12 and the early warning display is not limited to a separate hardware device, but can also be embedded in a communication terminal, and the resources of the communication terminal are used to realize the processing of monitoring data and early warning display and other functions. The communication terminal can be a mobile phone, a tablet computer, a computer, a special medical device, etc. The pressure monitoring patch transmits the data of the pressure monitor 111 and the chemical parameter monitor 112 to the data receiving processor 12 via wireless means (such as Bluetooth, Wi-Fi, cellular network, etc.). The received data will be processed and analyzed to determine whether it exceeds the set safety threshold. If the data exceeds the standard, the data receiving processor 12 will generate the corresponding monitoring feedback results and feedback them to the user or caregiver in real time through the early warning display of the communication terminal.

[0034] Furthermore, the monitoring sensor data of the pressure monitor 111 includes vertical pressure, shear force, and friction force.

[0035] Specifically, vertical pressure is the vertical pressure applied by the user's body weight on the skin surface of the detection area. Long-term or excessive vertical pressure can cause atrophy, necrosis, scarring, etc. of muscle and fat tissue. By measuring the vertical pressure in real time through the pressure sensor, it can be determined whether there is a potential risk caused by excessive pressure at that part.

[0036] When the user's body position changes, a shear force will be generated due to the relative movement of the skin and the underlying tissue. The shear force acts on the deep layer, which can cause relative displacement of the tissue, cut off the supply of small blood vessels in a larger area, and cause a decrease in tissue oxygen tension, which is more harmful than vertical pressure. The shear force sensor can monitor the shear force in real time, so as to detect possible deep tissue damage in time.

[0037] Friction is mainly the force acting on the skin surface of the monitored part. When the bed is wrinkled, there are debris, the skin is wet, or when the patient is moved, dragging, pulling, and pulling will generate greater friction. Friction acts on the skin, which can easily damage the stratum corneum of the skin and increase the sensitivity of the skin. The friction sensor can monitor the magnitude of the friction in real time.

[0038] Combining the three monitoring data of vertical pressure, shear force and friction can comprehensively assess the risk of pressure injuries and more accurately reflect the pressure state of skin and tissue, thereby providing accurate and comprehensive early warnings. At the same time, it can also provide nursing staff with scientific and actionable suggestions, thereby effectively reducing the incidence of pressure injuries.

[0039] Furthermore, the monitoring sensor data of the chemical parameter monitor 112 includes humidity, temperature, tissue oxygen and degree.

[0040] Specifically, in the prevention of pressure injuries, the moisture level of the skin has an important impact on wound formation. Too high humidity can cause the skin to soften and increase sensitivity to pressure, shear and friction, thereby increasing the risk of tissue damage. Conversely, too low humidity can dry out the skin, causing it to crack easily and increasing the likelihood of infection.

[0041] In the study of pressure injuries, temperature changes are usually related to blood circulation and tissue metabolism. Locally high temperatures may increase tissue oxygen consumption, while low temperatures may lead to insufficient local blood flow, thereby affecting the tissue's ability to recover.

[0042] Tissue oxygenation refers to the saturation or concentration of oxygen in tissues, which is usually closely related to local blood flow and oxygen supply. Good tissue oxygenation helps promote body repair and reduce the risk of necrosis. Low tissue oxygenation usually means that there may be ischemia, hypoxia and other problems in the local area, increasing the possibility of tissue damage.

[0043] Real-time monitoring of chemical parameters such as humidity, temperature, and tissue oxygenation can provide data on the health status of skin and tissues, enabling earlier detection of potential risk factors.

[0044] In summary, the pressure monitoring patch provided by the embodiment of the present application has the following technical effects:

[0045] The embodiment of the present application collects data from the user's monitoring parts from two dimensions, pressure and chemical parameters, through the pressure monitor 111 and the chemical parameter monitor 112, to obtain more comprehensive and accurate user health data, and realize comprehensive monitoring of the user's physiological state and pressure environment. The data receiving processor 12 analyzes the data collected by the sensor, generates monitoring feedback results, and feeds back potential injury risks to the user or caregiver in real time by connecting to the early warning display, which significantly improves the accuracy, comprehensiveness and response speed of pressure injury monitoring, can timely detect potential injury risks and give early warnings, and remind medical staff or users to take preventive measures in time to reduce the probability of pressure injuries.

[0046] Embodiment 2, as Figure 2 As shown, the embodiment of the present application provides a processing method for a pressure monitoring patch, which is applied to a pressure monitoring patch described in embodiment 1, and the method includes:

[0047] Step S21: Obtain a pressure injury sample data set, wherein the pressure injury sample data set includes monitoring parameters: injury surface pressure magnitude, pressure duration, humidity, temperature, oxygen and humidity, and corresponding pressure injury degree.

[0048] Specifically, the pressure injury sample data set is a collection of multiple sets of pressure injury related data, which can be obtained by collecting monitoring data from multiple users or experimental subjects under different conditions. Each set of pressure injury related data includes monitoring parameters such as the size of the injury surface pressure, pressure duration, humidity, temperature, oxygen and humidity, and the corresponding pressure injury degree. Among them, the size of the injury surface pressure refers to the size of the pressure applied to the skin or tissue. The pressure duration refers to the length of time that the pressure applied to the skin or tissue lasts. The degree of pressure injury refers to the severity of the pressure injury, which can be determined by visual assessment or clinical grading standards.

[0049] By obtaining a sample data set of pressure injuries, the relationship between different parameters and injuries can be discovered, providing data support for further risk assessment and early warning.

[0050] Step S22: Based on the pressure injury degree, fitting the relationship between each monitoring parameter and the pressure injury degree is performed on the pressure injury sample data set to obtain the injury threshold of each monitoring parameter.

[0051] Specifically, the pressure injury sample data set is analyzed by statistical analysis software to find the mathematical relationship between each monitoring parameter (damage surface pressure, pressure duration, humidity, temperature, oxygen and degree, etc.) and the degree of pressure injury, and these relationships are fitted into a mathematical model to accurately describe the relationship between the actual data. Relationship fitting can be performed by regression analysis using statistical methods or machine learning algorithms. For example, a linear regression model is used to fit the relationship between pressure duration and the degree of pressure injury.

[0052] According to the fitted mathematical model, the damage threshold of the monitoring parameters such as the damage surface pressure, pressure duration, humidity, temperature, oxygen and temperature is determined. The damage threshold refers to a critical value of each monitoring parameter. When the monitoring parameter reaches this value, pressure injury may occur or aggravate. By determining the damage threshold, an accurate basis can be provided for subsequent real-time monitoring and risk assessment.

[0053] Step S23: performing damage assessment on the received real-time monitoring sensor data based on the damage threshold of each monitoring parameter to obtain a damage assessment result.

[0054] Specifically, the received real-time monitoring sensor data is compared with the damage threshold of each monitoring parameter. Through the comparison of the thresholds, the pressure injury risk of the user's monitoring part is evaluated to obtain the damage assessment result. The assessment result can be a simple "high risk" or "low risk" assessment, or a more specific assessment level can be generated according to the degree of damage. Through damage assessment, the current pressure injury risk status can be understood in a timely and accurate manner, providing a direct basis for judgment for subsequent damage warnings.

[0055] Step S24: Generate an injury warning feedback result according to the injury assessment result and the corresponding relationship of the pressure injury degree.

[0056] Specifically, the correspondence between the degree of pressure injury refers to the relationship mapping between different injury assessment results and the classification standards of pressure injuries. Injury warning feedback results refer to feedback information generated based on the injury assessment results, which are usually provided to users or caregivers in the form of alarms, prompts or notifications. Warning feedback can help caregivers understand the user's pressure injury risk in a timely manner and take corresponding preventive measures.

[0057] According to the corresponding relationship between the degree of pressure injury, the injury assessment results are mapped with the specific injury classification to generate the corresponding injury warning feedback results. The injury warning feedback results can be fed back to users or medical staff through communication terminals (mobile phones, tablets, computers, etc.) in the form of visual warnings, sound alarms, text messages or notifications. Exemplary, early warning feedback can be provided through visual warning information of different colors. A red alarm indicates a high risk, prompting caregivers to immediately evaluate and take intervention measures, such as repositioning the patient or using a decompression device; a yellow alarm indicates a medium risk, prompting caregivers to continue to observe and regularly assess the injury; a green prompt indicates a low risk, indicating that there is no obvious risk of injury at present, but monitoring should continue.

[0058] Furthermore, step S22 of the embodiment of the present application further includes:

[0059] Step S221: setting damage level rules, wherein the damage level rules at least include an initial critical level, a primary damage level, and a high-risk damage level.

[0060] Step S222: using the injury degree grade rule to grade the pressure injury degrees of the pressure injury sample data set, and constructing a pressure grade sample set.

[0061] Step S223: fitting the relationship between each monitoring parameter and the degree of pressure injury using the pressure level sample set to obtain the injury threshold of each pressure level.

[0062] Step S224: Establish a mapping association between the damage degree level and the pressure level damage threshold to obtain the damage threshold of each monitoring parameter.

[0063] Specifically, a set of injury classification standards, namely injury grade rules, are formulated based on the clinical manifestations of pressure injuries. Pressure injuries can be divided into the initial critical grade: no obvious damage to the skin, but there may be early signs such as erythema and fever, indicating a certain amount of pressure, the primary injury grade: slight abrasions or redness on the skin surface, but no more serious ulcers have formed. High-risk injury grade: the skin or tissue has formed more obvious ulcers or deep injuries.

[0064] The collected pressure injury sample data sets will be classified according to the set injury degree rules, and different sample data will be assigned to corresponding levels according to their injury degrees. According to the classification results, a pressure level sample set is constructed for each type of pressure level. Each sample set represents a specific degree of pressure injury and contains the pressure injury-related monitoring parameters at that level.

[0065] Statistical analysis software was used to perform parameter fitting on each pressure level sample set to find out the relationship between different monitoring parameters (damage surface pressure, pressure duration, humidity, temperature, oxygen and humidity) and the degree of damage at each damage level, thereby determining the damage threshold of each monitoring parameter at different damage levels.

[0066] The damage thresholds of each pressure level obtained are mapped to the corresponding damage level to ensure that the specific value of each monitoring parameter can accurately correspond to a damage level. These mapping relationships are summarized to generate the damage thresholds of each monitoring parameter. For example, the damage thresholds of local tissue oxygen saturation are: initial critical level (above 65%), primary damage level (45% to 65%), and high-risk damage level (below 45%). The damage thresholds of temperature are: initial critical level (external temperature difference 3°C to 5°C), primary damage level (external temperature difference 6°C to 7°C), and high-risk damage level (external temperature difference greater than 75°C). The damage thresholds of humidity are: initial critical level (15% to 30%), primary damage level (40% to 60%), and high-risk damage level (greater than 80%).

[0067] By setting the injury level rules, the different degrees of pressure injuries are scientifically divided, and the injury thresholds of each monitoring parameter are obtained by fitting the historical sample data. The mapping relationship between these thresholds and injury levels provides a scientific basis for the evaluation of subsequent real-time monitoring data.

[0068] Furthermore, the method described in the embodiment of the present application also includes:

[0069] Step S261: Analyze the damage surface pressure and divide it into vertical pressure, shear force, and friction force.

[0070] Step S262: Divide the pressure injury sample data set based on vertical pressure, shear force, and friction force to construct a multi-type pressure data set.

[0071] Step S263: Based on the multi-type pressure data sets, the relationship between pressure magnitude, pressure duration and pressure injury degree is fitted respectively to obtain the pressure-duration composite thresholds of vertical pressure, shear force and friction force respectively.

[0072] Step S264: using the pressure-duration composite threshold, respectively perform risk assessment on the monitoring sensor data of vertical pressure, shear force, and friction force.

[0073] Specifically, an in-depth analysis of the causes of pressure injuries was conducted, and the total pressure applied to the injured surface was decomposed into three force components: vertical pressure, shear force, and friction force.

[0074] The collected pressure injury sample data sets are divided according to different mechanical components (vertical pressure, shear force, friction force), and a pressure data set is constructed for each type of force to obtain multi-type pressure data sets, so as to analyze the impact of different types of forces on pressure injuries in more detail. For example, if the pressure injury of a certain sample data occurs at the part of the body that contacts the mattress, the sample data of this part can be divided into: vertical pressure data set (reflecting the vertical pressure of body weight on the skin), shear force data set (reflecting the impact of body position changes or friction on the skin) and friction data set (reflecting the impact of friction between clothing and skin on the skin).

[0075] For each pressure data set corresponding to each force, the relationship between pressure magnitude and duration and injury degree is fitted, and the pressure-duration composite threshold is determined for each pressure type, that is, the critical value of injury risk under a specific pressure value and duration. Through relationship fitting, the pressure-duration composite threshold of vertical pressure, shear force, and friction force can be obtained. For example, when the vertical pressure exceeds 33 mmHg and lasts for more than 2 hours, primary injury begins to occur, and when the shear force is 30 N and lasts for more than 30 minutes, high-risk injury will occur.

[0076] According to the obtained pressure-duration composite threshold, the vertical pressure, shear force, and friction force in the real-time monitored pressure data are compared with the corresponding thresholds to evaluate whether the current situation exceeds a certain threshold. If the monitored pressure value and duration exceed the set composite threshold, the corresponding warning feedback result is generated.

[0077] Through the above steps, the risk of pressure injuries caused by different types of pressure can be comprehensively and accurately assessed, providing a more targeted basis for the prevention and treatment of pressure injuries.

[0078] Furthermore, the method described in the embodiment of the present application also includes:

[0079] Step S271: Analyze the cross-influence relationship between various monitoring parameters according to the pressure injury sample data set.

[0080] Step S272: According to the influence relationship trend of the cross-influence relationship, a trend relationship analysis is performed with the fitting relationship of the monitoring parameter itself to obtain a unidirectional superposition relationship and an anisotropic offset relationship. The unidirectional superposition relationship means that the influence relationship trend of the cross-influence relationship is the same as the fitting relationship of the monitoring parameter itself, and has a pressure damage degree superposition or exceeds the superposition influence relationship; the anisotropic offset relationship means that the influence relationship trend of the cross-influence relationship is opposite to the fitting relationship of the monitoring parameter itself, and has a damage degree weakening influence relationship.

[0081] Step S273: adding the same-direction superposition relationship and the different-direction cancellation relationship as correction relationship factors into the damage assessment relationship to correct the damage assessment result.

[0082] Specifically, in the study of pressure injuries, multiple monitoring parameters do not work independently, and there may be a relationship of mutual influence between them. For example, the magnitude of pressure may affect the temperature and humidity of local tissues, and changes in temperature and humidity may in turn affect the degree of damage to tissues caused by pressure. By performing statistical analysis on each monitoring parameter in the sample data set, such as correlation analysis, the mutual influence between the parameters and the degree of influence can be determined.

[0083] When analyzing the trend of the influence relationship of the cross-influence relationship, combined with the fitting relationship of each monitoring parameter itself, the same-direction superposition relationship and the different-direction offset relationship are identified. When the trend of the cross-influence relationship is the same as the fitting relationship of the monitoring parameter itself, and has a superposition or exceeds the superposition influence relationship of the degree of pressure damage, it is determined to be a same-direction superposition relationship. For example, there is a cross-influence relationship between humidity and pressure. When the humidity increases, the degree of damage to the tissue by pressure increases faster than when the pressure factor is considered alone. This is a same-direction superposition relationship.

[0084] When the trend of the cross-influence relationship is opposite to the fitting relationship of the monitoring parameter itself, and has a damage reduction influence relationship, it is determined to be an anisotropic offset relationship. For example, temperature and pressure have a cross-influence relationship. Within a certain range, when the temperature rises, the degree of damage to the tissue caused by pressure is lower than when the pressure factor is considered alone. This is an anisotropic offset relationship.

[0085] When performing damage assessment, step S23 has obtained a preliminary damage assessment result. However, this result does not take into account the cross-influence relationship between the various monitoring parameters. The obtained same-direction superposition relationship and different-direction cancellation relationship are used as correction relationship factors and added to the damage assessment relationship to adjust the previous damage assessment results, so as to make the damage assessment more accurate. For example, if it is found that there is a same-direction superposition relationship between humidity and pressure, then in the final damage assessment, the previous damage assessment results must be adjusted to improve the assessment of the degree of damage; if there is a different-direction cancellation relationship, the damage assessment results must also be adjusted accordingly to reduce the assessment of the degree of damage.

[0086] The above steps comprehensively consider the cross-influence relationship between the monitoring parameters, which can avoid the one-sided evaluation based only on the relationship between a single parameter and the degree of pressure injury. By determining the same-direction superposition relationship and the opposite-direction offset relationship and adding them as correction relationship factors to the injury assessment relationship, a more realistic injury assessment result can be obtained, thus improving the accuracy of pressure injury monitoring.

[0087] In summary, the processing method of a pressure monitoring patch provided in the embodiment of the present application has the following technical effects:

[0088] By fitting the pressure injury sample data set, the relationship between each monitoring parameter (such as pressure size, duration, humidity, temperature, etc.) and the degree of injury is determined, so as to accurately evaluate the association between real-time monitoring data and injury and formulate an accurate injury threshold. By combining different types of pressure data (such as vertical pressure, shear force, friction force), and performing pressure-duration composite threshold analysis respectively, it is possible to identify the different effects of different pressure types on injury, thereby achieving a more refined risk assessment. By analyzing the cross-influence between the monitoring parameters, identifying the same-direction superposition relationship and the opposite-direction offset relationship, and using these influence relationships as correction factors, the injury assessment results are corrected, making the injury assessment more accurate and comprehensive, and further improving the accuracy of the injury assessment. Through real-time processing and feedback of the injury assessment results, it is possible to generate injury warnings in a timely manner, promote the implementation of preventive measures, and effectively intervene before the pressure injury is formed to reduce its occurrence and development. Overall, the embodiments of the present application improve the accuracy, comprehensiveness and response speed of pressure injury monitoring through effective evaluation and processing of monitoring data.

[0089] Embodiment three, as Figure 3 As shown, an embodiment of the present application provides a processing system for a pressure monitoring patch, the system comprising:

[0090] The injury sample data acquisition module 31 is used to acquire a pressure injury sample data set, which includes monitoring parameters: injury surface pressure, pressure duration, humidity, temperature, oxygen and humidity, and the corresponding pressure injury degree.

[0091] The damage threshold determination module 32 is used to fit the relationship between each monitoring parameter and the pressure injury degree for the pressure injury sample data set based on the pressure injury degree, so as to obtain the damage threshold of each monitoring parameter.

[0092] The damage assessment module 33 is used to perform damage assessment on the received real-time monitoring sensor data based on the damage threshold of each monitoring parameter to obtain a damage assessment result.

[0093] The injury warning module 34 is used to generate an injury warning feedback result according to the injury assessment result and the corresponding relationship of the pressure injury degree.

[0094] Furthermore, the damage threshold determination module 32 in the embodiment of the present application is also used to perform the following steps:

[0095] Setting injury degree level rules, wherein the injury degree level rules include at least an initial critical level, a primary injury level, and a high-risk injury level; using the injury degree level rules to classify the pressure injury levels of the pressure injury sample data set, and constructing a pressure level sample set; using the pressure level sample set to fit the relationship between each monitoring parameter and the pressure injury level, respectively, to obtain each pressure level injury threshold; establishing a mapping association between the injury degree level and the pressure level injury threshold, and obtaining the injury threshold of each monitoring parameter.

[0096] Furthermore, the system described in the embodiment of the present application is also used to perform the following steps:

[0097] The pressure on the injury surface is analyzed and divided into vertical pressure, shear force and friction force; based on the vertical pressure, shear force and friction force, the pressure injury sample data set is divided to construct a multi-type pressure data set; based on the multi-type pressure data set, the relationship between the pressure size, pressure duration and the degree of pressure injury is fitted to obtain the pressure-duration composite thresholds of vertical pressure, shear force and friction force respectively; using the pressure-duration composite thresholds, the monitoring sensor data of vertical pressure, shear force and friction force are respectively evaluated for risk.

[0098] Furthermore, the system described in the embodiment of the present application is also used to perform the following steps:

[0099] According to the pressure injury sample data set, the cross-influence relationship between each monitoring parameter is analyzed; according to the influence relationship trend of the cross-influence relationship, the trend relationship analysis is performed with the fitting relationship of the monitoring parameter itself to obtain a same-direction superposition relationship and a different-direction offset relationship. The same-direction superposition relationship means that the influence relationship trend of the cross-influence relationship is the same as the fitting relationship of the monitoring parameter itself, and has a pressure injury degree superposition or exceeds the superposition influence relationship; the different-direction offset relationship means that the influence relationship trend of the cross-influence relationship is opposite to the fitting relationship of the monitoring parameter itself, and has a damage degree weakening influence relationship; the same-direction superposition relationship and the different-direction offset relationship are used as correction relationship factors, added to the damage assessment relationship, and the damage assessment result is corrected.

[0100] Through the above-mentioned detailed description of the processing method of a pressure monitoring patch in this specification, those skilled in the art can clearly understand the processing system of a pressure monitoring patch in this embodiment. For the system disclosed in Example 3, since it corresponds to the method disclosed in Example 2, it has corresponding functional modules and beneficial effects. For relevant matters, please refer to the description of the method part.

[0101] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined therein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A pressure monitoring patch, characterized in that: The pressure monitoring patch comprises: A pressure buffer body, wherein the pressure buffer body has an adhesive contact surface, and the adhesive contact surface is attached to the user monitoring part; A pressure monitor, which is disposed in the pressure buffer body and is used to sense and monitor the pressure of a user's monitoring part; A chemical parameter monitor, which is disposed in the pressure buffer body and is used for sensing and monitoring chemical parameters of a user's monitoring part; A data receiving processor is connected to the pressure monitor and the chemical parameter monitor to receive the monitoring sensor data of the pressure monitor and the chemical parameter monitor, and analyzes and processes the received monitoring sensor data to obtain monitoring feedback results.

2. A pressure monitoring patch as claimed in claim 1, characterized in that: Also includes: An early warning display is connected to the data receiving processor and displays early warning reminders according to monitoring feedback results.

3. A pressure monitoring patch as claimed in claim 2, characterized in that: The data receiving processor and the warning display are arranged in a communication terminal.

4. A pressure monitoring patch as claimed in claim 1, characterized in that: The monitoring sensor data of the pressure monitor includes vertical pressure, shear force, and friction force.

5. A pressure monitoring patch as claimed in claim 1, characterized in that: The monitoring sensor data of the chemical parameter monitor include humidity, temperature, tissue oxygen and degree.

6. A method for processing a pressure monitoring patch, characterized in that: The processing method of the pressure monitoring patch is applied to the pressure monitoring patch according to any one of claims 1 to 5, and the method comprises: Acquire a pressure injury sample data set, wherein the pressure injury sample data set includes monitoring parameters: damage surface pressure magnitude, pressure duration, humidity, temperature, oxygen and humidity, and corresponding pressure injury degree; Based on the pressure injury degree, fitting the relationship between each monitoring parameter and the pressure injury degree is performed on the pressure injury sample data set to obtain the injury threshold of each monitoring parameter; Performing damage assessment on the received real-time monitoring sensor data based on the damage threshold of each monitoring parameter to obtain a damage assessment result; According to the injury assessment result and the corresponding relationship of the pressure injury degree, an injury warning feedback result is generated.

7. A method for processing a pressure monitoring patch according to claim 6, characterized in that: Based on the pressure injury degree, fitting the relationship between each monitoring parameter and the pressure injury degree is performed on the pressure injury sample data set to obtain the injury threshold of each monitoring parameter, including: Setting damage level rules, wherein the damage level rules at least include an initial critical level, a primary damage level, and a high-risk damage level; Using the injury degree grade rule, the pressure injury degree of the pressure injury sample data set is graded to construct a pressure grade sample set; The pressure level sample sets are respectively used to fit the relationship between each monitoring parameter and the pressure injury degree to obtain the injury threshold of each pressure level; A mapping association between the damage degree level and the pressure level damage threshold is established to obtain the damage threshold of each monitoring parameter.

8. A method for processing a pressure monitoring patch according to claim 6, characterized in that: The method further comprises: Analyze the pressure on the damaged surface and divide it into vertical pressure, shear force, and friction force; The pressure injury sample data set is divided based on vertical pressure, shear force, and friction force to construct a multi-type pressure data set; Based on the multi-type pressure data sets, the relationship between pressure magnitude, pressure duration and pressure injury degree is fitted respectively, and the pressure-duration composite thresholds of vertical pressure, shear force and friction force are obtained respectively; The pressure-duration composite threshold is used to perform risk assessment on the monitoring sensor data of vertical pressure, shear force and friction force respectively.

9. A method for processing a pressure monitoring patch according to claim 6, characterized in that: The method further comprises: Analyzing the cross-influence relationship between various monitoring parameters according to the pressure injury sample data set; According to the influence relationship trend of the cross-influence relationship, a trend relationship analysis is performed with the fitting relationship of the monitoring parameter itself to obtain a same-direction superposition relationship and a different-direction offset relationship. The same-direction superposition relationship means that the influence relationship trend of the cross-influence relationship is the same as the fitting relationship of the monitoring parameter itself, and has a pressure damage degree superposition or exceeds the superposition influence relationship; the different-direction offset relationship means that the influence relationship trend of the cross-influence relationship is opposite to the fitting relationship of the monitoring parameter itself, and has a damage degree reduction influence relationship. The same-direction superposition relationship and the different-direction cancellation relationship are used as correction relationship factors and added into the damage assessment relationship to correct the damage assessment result.

10. A processing system for a pressure monitoring patch, characterized in that: The processing system of the pressure monitoring patch is used to execute the processing method of the pressure monitoring patch according to any one of claims 6 to 9, and the system comprises: The injury sample data acquisition module is used to acquire a pressure injury sample data set, wherein the pressure injury sample data set includes monitoring parameters: the size of the injury surface pressure, the pressure duration, humidity, temperature, oxygen and temperature, and the corresponding pressure injury degree; A damage threshold determination module, configured to fit the relationship between each monitoring parameter and the pressure injury degree to the pressure injury sample data set based on the pressure injury degree, and obtain the damage threshold of each monitoring parameter; A damage assessment module, used to perform damage assessment on the received real-time monitoring sensor data based on the damage threshold of each monitoring parameter to obtain a damage assessment result; The injury warning module is used to generate an injury warning feedback result according to the injury assessment result and the corresponding relationship of the pressure injury degree.

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