A pressure ulcer prevention monitoring system and monitor

Abstract

This invention relates to the field of pressure ulcer monitoring technology, specifically disclosing a pressure ulcer prevention monitoring system and monitor. The system includes a data recording module for recording material characteristic data of different types of mattresses and sheets. By recording the material characteristic data of different types of mattresses and sheets, and collecting data on sheet residues and chemical contaminants, the material characteristic data of different types of mattresses and sheets can reflect the friction risk between the patient and the mattress / sheet, while the data on sheet residues and chemical contaminants can reflect the soiling status of the sheet. By combining the above two sets of data, the pressure ulcer risk threshold can be assessed and dynamically adjusted based on diversified data such as the potential friction risk to the patient and the risk of skin irritation from sheet soiling, thereby improving the accuracy of subsequent patient pressure ulcer risk analysis results.

Description

Technical Field

[0001] This invention relates to the field of pressure ulcer monitoring technology, specifically to a pressure ulcer prevention monitoring system and monitor. Background Technology

[0002] The pressure ulcer monitoring system is an intelligent technology monitoring system based on pressure ulcer monitors. It is designed to reduce the nursing burden on long-term bedridden patients, improve nursing efficiency, and reduce the incidence of pressure ulcers.

[0003] Traditional pressure ulcer monitoring systems typically use flexible pressure sensors that are placed in the mattress or cushion to monitor the pressure distribution on different parts of the patient's body in real time. The pressure signals are converted into electrical signals for transmission, and algorithms are used to determine whether the pressure on different parts of the patient's body exceeds the safe pressure threshold and to analyze the duration of pressure to assess the risk of pressure ulcers.

[0004] Traditional pressure ulcer monitoring systems in the present technology assess the risk of pressure ulcers by determining whether the pressure on various parts of the patient's body exceeds the safe pressure threshold and by analyzing the duration of pressure. The safe pressure threshold is generally obtained by combining the patient's physical data and disease data, but it does not take into account the influence of medical supplies such as sheets and mattresses, resulting in low reliability of the safe pressure threshold and thus affecting the accuracy of the patient's pressure ulcer risk assessment results. Summary of the Invention

[0005] The purpose of this invention is to provide a pressure ulcer prevention monitoring system and monitor, solving the following technical problems:

[0006] How to improve the accuracy of pressure ulcer risk assessment results for patients.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A pressure ulcer prevention monitoring system and monitor, the system comprising:

[0009] The data recording module is used to record the material characteristics data of different types of mattresses and sheets;

[0010] The area division module is used to divide the patient into multiple monitoring areas based on the location of each monitoring site.

[0011] The data acquisition module is used to collect data on bed sheet residues and chemical contaminants at fixed time intervals;

[0012] The data calculation module is used to calculate the friction risk index for each monitoring period by combining the data recorded by the data recording module.

[0013] The data assessment module is used to combine the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk in each monitoring area at different monitoring time periods, and to assess whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted.

[0014] The threshold adjustment module is used to adjust the pressure ulcer pressure monitoring risk threshold when it is determined that it is necessary to adjust the pressure ulcer pressure monitoring risk threshold, taking into account the pressure ulcer risk impact coefficient of different monitoring time periods in each monitoring area.

[0015] The monitoring module is used to analyze the patient's pressure ulcer risk by combining real-time pressure data collected from various parts of the patient with the adjusted pressure ulcer monitoring risk threshold.

[0016] Furthermore, the evaluation process of the data evaluation module includes:

[0017] S1: By assigning values ​​to the friction risk index for each monitoring period, friction risk values ​​for different monitoring periods can be obtained.

[0018] S2: By combining the data collected by the data acquisition module with the friction risk values ​​for different monitoring time periods, the impact coefficient of pressure ulcer risk for each monitoring area during different monitoring time periods is calculated;

[0019] S3: Compare the pressure ulcer risk impact coefficients of all monitored areas during the same monitoring period with the preset pressure ulcer risk impact coefficient thresholds, and assess whether the pressure ulcer pressure monitoring risk thresholds need to be adjusted based on the comparison results.

[0020] Furthermore, the calculation process of the data calculation module includes:

[0021] Through formula Calculate the friction risk index for the a-th monitoring period. ;

[0022] Where 'a' represents any monitoring period. Let be the coefficient of friction of the bed sheet during the a-th monitoring period. The preset coefficient of friction for the bed sheet. To define a function, if Then let Otherwise, let , The roughness of the bed sheet during the a-th monitoring period. The preset sheet roughness, The mattress breathability during the a-th monitoring period. The preset breathability, Let be the moisture absorption rate during the a-th monitoring period. The preset moisture absorption rate, The error influence coefficient is set based on empirical fitting. and These are weighting coefficients, set based on empirical fitting.

[0023] Furthermore, the assignment process in S1 includes:

[0024] By analyzing the friction risk index during the a-th monitoring period Assign values ​​to generate a friction risk index between 1 and 1.2, which increases with the a-th monitoring period. The friction risk value during the a-th monitoring period increases with the increase in the number of monitoring periods.

[0025] Among them, the friction risk index of the a-th monitoring period The friction risk value for the corresponding monitoring period a is set as follows: .

[0026] Furthermore, the calculation process in S2 includes:

[0027] The microbial content in the i-th region is collected in real time using the ATP biofluorescence detection method via the data acquisition module. And establish a curve showing the change of microbial content over time.

[0028] Through formula Calculate the pressure ulcer risk impact coefficient for the i-th monitored area during the a-th monitored period. ;

[0029] in, Let be the area of ​​ultraviolet fluorescence reaction in the i-th monitoring area during the a-th monitoring time period. Let i be the total area of ​​the i-th monitored area. Fluorescence intensity in the i-th monitored area during the a-th monitored time period The preset fluorescence intensity, The residual amount of surfactant in the i-th monitoring area during the a-th monitoring period. This is the preset residual amount of surfactant. Let a be the start time of the a-th monitoring period. This is the end time of the a-th monitoring period.

[0030] Furthermore, the comparison process in S3 includes:

[0031] By using the pressure ulcer risk impact coefficient of all areas during the a-th monitoring period Each is compared with the preset pressure ulcer risk impact coefficient threshold. Perform a comparison;

[0032] If any Greater than or equal to The system determined that the user's risk of pressure ulcers was increased due to additional impacts during the monitoring period, and the pressure ulcer monitoring risk threshold needed to be adjusted.

[0033] If all All less than The system determined that the user's pressure ulcer risk was not additionally affected during the monitoring period, and therefore no adjustment to the pressure ulcer pressure monitoring risk threshold was required.

[0034] Furthermore, the adjustment process of the threshold adjustment module includes:

[0035] When it is determined that the risk threshold for pressure ulcer monitoring needs to be adjusted;

[0036] Through formula Calculate and obtain the adjusted pressure ulcer risk threshold for the a-th monitoring period. ;

[0037] in, The preset pressure ulcer risk threshold is used for monitoring. For all The maximum value in, Let be the average ambient temperature during the a-th monitoring period. The average ambient humidity during the a-th monitoring period is... The preset ambient temperature, The preset ambient humidity, The user's weight impact factor was set based on empirical fitting. and This is a proportionality coefficient, set based on empirical fitting. For the adjustment coefficient lookup table function, the value of the adjustment coefficient lookup table function is related to... The range of values ​​corresponds one-to-one.

[0038] A pressure ulcer monitoring device includes a controller body and a pressure sensing pad, wherein the controller body and the pressure sensing pad are fixedly connected.

[0039] The controller body is equipped with a data recording module, a region division module, a data acquisition module, a data calculation module, a data evaluation module, a threshold adjustment module, and a monitoring module;

[0040] The data recording module is used to record the material characteristics data of different types of mattresses and sheets;

[0041] The area division module is used to divide the patient into multiple monitoring areas based on the location of each monitoring site.

[0042] The data acquisition module is used to collect data on bed sheet residues and chemical contaminants at fixed time intervals;

[0043] The data calculation module is used to calculate the friction risk index for each monitoring period by combining the data recorded by the data recording module.

[0044] The data evaluation module is used to combine the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk in each monitoring area during different monitoring time periods, and to assess whether it is necessary to adjust the pressure ulcer monitoring risk threshold.

[0045] The threshold adjustment module is used to adjust the pressure ulcer pressure monitoring risk threshold by combining the pressure ulcer risk impact coefficient of different monitoring time periods in each monitoring area when it is determined that the pressure ulcer pressure monitoring risk threshold needs to be adjusted.

[0046] The monitoring module is used to analyze the patient's pressure ulcer risk by combining real-time pressure data collected from various parts of the patient with the adjusted pressure ulcer monitoring risk threshold.

[0047] The beneficial effects of this invention are:

[0048] (1) This invention records the material characteristics of different types of mattresses and sheets, and collects data on the residues and chemical contaminants on the sheets. The material characteristics of different types of mattresses and sheets can reflect the friction risk between the patient and the sheets and mattresses, while the residues and chemical contaminants on the sheets can reflect the contamination status of the sheets. By combining the above two sets of data, the risk threshold for pressure ulcer monitoring can be assessed and dynamically adjusted based on the diverse data such as the friction risk that the patient may experience and the risk of skin irritation caused by sheet contamination, thereby improving the accuracy of subsequent pressure ulcer risk analysis results.

[0049] (2) The present invention first assigns a value to the friction risk index for each monitoring period. This data can reflect the influence of the material characteristics of the sheets and mattress on the patient's friction risk. Then, by combining the data collected by the data acquisition module, the pressure ulcer risk impact coefficient of each monitoring area for different monitoring periods can be calculated. This data is high-quality fusion data obtained by calculating the friction risk that the patient may have and the risk of skin irritation to the patient by the sheet contamination. Based on this data, an accurate assessment can be made as to whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted, thereby improving the reliability of the pressure ulcer pressure monitoring risk threshold.

[0050] (3) The present invention uses the pressure ulcer risk influence coefficient of all areas during the a-th monitoring period to measure the pressure ulcer risk influence coefficient. Each is compared with the preset pressure ulcer risk impact coefficient threshold. By comparing the data, which is based on diversified data calculations, the reliability of the data is relatively high. This comparison method can accurately determine whether the risk of pressure ulcers in the monitored patient will be additionally affected during the monitoring period, including the risk of rubbing and the risk of skin irritation from bed sheet contamination. After combining the judgment results with analysis, it can be decided whether to adjust the pressure ulcer monitoring risk threshold, thereby improving the accuracy of subsequent patient pressure ulcer risk analysis results.

[0051] (4) The present invention monitors the pressure distribution of various parts of the patient’s body in real time through a pressure sensing pad and converts the pressure signal into an electrical signal and transmits it to the controller body. Then the controller body can combine the dynamically adjusted pressure ulcer monitoring risk threshold to determine whether the pressure of various parts of the patient’s body exceeds the safe pressure threshold and analyze the pressure duration, so as to detect potential pressure ulcer risks in a timely manner and improve nursing efficiency. Attached Figure Description

[0052] The invention will now be further described with reference to the accompanying drawings.

[0053] Figure 1 This is a schematic block diagram of a pressure ulcer monitoring system according to the present invention;

[0054] Figure 2 This is a flowchart of the evaluation process of the data evaluation module in this invention;

[0055] Figure 3 This is a schematic diagram of the structure of a bedpan monitoring device according to the present invention.

[0056] Reference numerals: 1. Pressure sensing pad; 2. Controller body. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 As shown, in one embodiment, this application provides a pressure ulcer prevention monitoring system and monitor, the system comprising:

[0059] The data recording module is used to record the material characteristics data of different types of mattresses and sheets;

[0060] The area division module is used to divide the patient into multiple monitoring areas based on the location of each monitoring site.

[0061] The data acquisition module is used to collect data on bed sheet residues and chemical contaminants at fixed time intervals;

[0062] The data calculation module is used to calculate the friction risk index for each monitoring period by combining the data recorded by the data recording module.

[0063] The data assessment module is used to combine the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk in each monitoring area at different monitoring time periods, and to assess whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted.

[0064] The threshold adjustment module is used to adjust the pressure ulcer pressure monitoring risk threshold when it is determined that it is necessary to adjust the pressure ulcer pressure monitoring risk threshold, taking into account the pressure ulcer risk impact coefficient of different monitoring time periods in each monitoring area.

[0065] The monitoring module is used to analyze the patient's pressure ulcer risk by combining real-time pressure data collected from various parts of the patient with the adjusted pressure ulcer monitoring risk threshold.

[0066] Through the above technical solution, this example provides a data recording module and an area division module, which are used to record the material characteristics data of different types of mattresses and sheets, and to divide the pressure sensing pad 1 into multiple monitoring areas based on the location of the patient's various monitoring sites. When the system is in use, the data acquisition module first collects data on the residue and chemical contaminants on the sheets at fixed time intervals. Then, the data calculation module combines the data recorded by the data recording module to calculate the friction risk index for each monitoring time period. The data evaluation module combines the data collected by the data acquisition module with the friction risk analysis results for each monitoring time period to analyze the pressure ulcer risk of each monitoring area at different monitoring time periods and assess whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted. When it is determined that the pressure ulcer pressure monitoring risk threshold needs to be adjusted, the threshold adjustment module combines the pressure ulcer risk influence coefficient of each monitoring area at different monitoring time periods to adjust the pressure ulcer pressure monitoring risk threshold. Finally, the monitoring module combines the real-time collected pressure data of each part of the patient with the adjusted pressure ulcer pressure monitoring risk threshold to analyze the patient's pressure ulcer risk.

[0067] By recording the material characteristics of different types of mattresses and sheets, and collecting data on sheet residues and chemical contaminants, the material characteristics of different types of mattresses and sheets can reflect the friction risk between the patient and the sheets, while the data on sheet residues and chemical contaminants can reflect the degree of sheet contamination. By combining these two sets of data, the pressure ulcer monitoring risk threshold can be assessed and dynamically adjusted based on diverse data such as the potential friction risk to the patient and the risk of skin irritation from sheet contamination, thereby improving the accuracy of subsequent pressure ulcer risk analysis results.

[0068] It should be noted that the data recording module records the material characteristics of mattresses and sheets. Users can fill in the data according to the factory data of different types of mattresses and sheets, and manually change the type of mattress and sheet when changing mattress and sheets. The data collection method of the data acquisition module is all existing technology, which will not be elaborated on here.

[0069] Please see Figure 2 As shown, the evaluation process of the data evaluation module includes:

[0070] S1: By assigning values ​​to the friction risk index for each monitoring period, friction risk values ​​for different monitoring periods can be obtained.

[0071] S2: By combining the data collected by the data acquisition module with the friction risk values ​​for different monitoring time periods, the impact coefficient of pressure ulcer risk for each monitoring area during different monitoring time periods is calculated;

[0072] S3: Compare the pressure ulcer risk impact coefficients of all monitored areas during the same monitoring period with the preset pressure ulcer risk impact coefficient thresholds, and assess whether the pressure ulcer pressure monitoring risk thresholds need to be adjusted based on the comparison results.

[0073] Through the above technical solution, this example provides the evaluation process of the data evaluation module. First, the friction risk index of each monitoring time period is assigned a value to obtain the friction risk value of different monitoring time periods. Then, by combining the data collected by the data acquisition module with the friction risk value of different monitoring time periods, the pressure ulcer risk impact coefficient of each monitoring area in different monitoring time periods is calculated. Finally, the pressure ulcer risk impact coefficient of all monitoring areas in the same monitoring time period is compared with the preset pressure ulcer risk impact coefficient threshold. Based on the comparison results, it can be evaluated whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted.

[0074] By setting it up in this way, the friction risk index is first assigned a value for each monitoring time period. This data can reflect the impact of the material characteristics of the sheets and mattress on the patient's friction risk. Then, by combining the data collected by the data acquisition module, the pressure ulcer risk impact coefficient of each monitoring area for different monitoring time periods can be calculated. This data is high-quality fusion data obtained by calculating diverse data such as the patient's possible friction risk and the risk of skin irritation from sheet contamination. Based on this data, an accurate assessment can be made as to whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted, thereby improving the reliability of the pressure ulcer pressure monitoring risk threshold.

[0075] The calculation process of the data calculation module includes:

[0076] Through formula Calculate the friction risk index for the a-th monitoring period. ;

[0077] Where 'a' represents any monitoring period. Let be the coefficient of friction of the bed sheet during the a-th monitoring period. The preset coefficient of friction for the bed sheet. To define a function, if Then let Otherwise, let , The roughness of the bed sheet during the a-th monitoring period. The preset sheet roughness, The mattress breathability during the a-th monitoring period. The preset breathability, Let be the moisture absorption rate during the a-th monitoring period. The preset moisture absorption rate, The error influence coefficient is set based on empirical fitting. and The weighting coefficients are set based on empirical fitting.

[0078] Using the above technical solution, this example provides the friction risk index for the a-th monitoring period. It can be done through the formula Calculations show that the higher the coefficient of friction and roughness of the bed sheet during the a-th monitoring period, and the lower the breathability and moisture absorption of the mattress during the a-th monitoring period, the higher the friction risk index during the a-th monitoring period. The higher the coefficient of friction and roughness of the sheets during the a-th monitoring period, the greater the friction between the patient's skin and the sheets when the patient moves. This can easily lead to epidermal peeling, increasing the risk of skin damage and the probability of minor skin trauma, thus providing conditions for bacterial colonization. On the other hand, when the breathability and moisture absorption of the mattress are low, the low moisture absorption and low breathability of the mattress will cause moisture and heat to accumulate inside the mattress. It will not be able to absorb sweat and secretions in time, causing the skin to be in a damp state for a long time. This will weaken the skin's barrier function, making it easier for bacteria, fungi and other microorganisms to invade the skin, causing infection and increasing the risk of bedsores.

[0079] Therefore, the lower the coefficient of friction and roughness of the bed sheet during the a-th monitoring period, and the higher the breathability and moisture absorption of the mattress during the a-th monitoring period, the lower the friction risk index during the a-th monitoring period. The lower the value, the better. This calculation method allows for the analysis of the impact of bed sheets and mattresses on the patient's pressure ulcer risk during the current monitoring period, based on the numerical value of the calculation results. It also provides data support for subsequent assessments of whether the pressure ulcer monitoring risk threshold needs to be adjusted, ensuring the accuracy of the adjustment results.

[0080] The assignment process in S1 includes:

[0081] By analyzing the friction risk index during the a-th monitoring period Assign values ​​to generate a friction risk index between 1 and 1.2, which increases with the a-th monitoring period. The friction risk value during the a-th monitoring period increases with the increase in the number of monitoring periods.

[0082] Among them, the friction risk index of the a-th monitoring period The friction risk value for the corresponding monitoring period a is set as follows: ;

[0083] Using the above technical solution, this example provides the friction risk index for the a-th monitoring period. The process of assigning values;

[0084] As an example, The criteria for determining the value are shown in Table 1 below:

[0085] Table 1 ( (Value table)

[0086]

[0087] It should be noted that, with the increase in the friction risk index during the a-th monitoring period... As the value increases, the friction risk value for the corresponding monitoring period a is defined as follows: The friction risk index will increase synchronously because when the friction risk index of the a-th monitoring period increases... When the friction risk increases, it means that the bed sheets and mattresses being used, due to their material properties, increase the friction between the patient's skin and the sheets when the patient moves. This can easily lead to epidermal peeling, increasing the risk of skin damage and thus increasing the risk of pressure ulcers. Therefore, based on this, the friction risk value for the a-th monitoring period is... This reflects the impact of bed sheets and mattresses on the patient's risk of pressure ulcers. Therefore, the friction risk index increases with the a-th monitoring period. As the value increases, the friction risk value for the corresponding monitoring period a is defined as follows: It will increase simultaneously.

[0088] The calculation process in S2 includes:

[0089] The microbial content in the i-th region is collected in real time using the ATP biofluorescence detection method via the data acquisition module. And establish a curve showing the change of microbial content over time.

[0090] Through formula Calculate the pressure ulcer risk impact coefficient for the i-th monitored area during the a-th monitored period. ;

[0091] in, Let be the area of ​​ultraviolet fluorescence reaction in the i-th monitoring area during the a-th monitoring time period. Let i be the total area of ​​the i-th monitored area. Fluorescence intensity in the i-th monitored area during the a-th monitored time period The preset fluorescence intensity, The residual amount of surfactant in the i-th monitoring area during the a-th monitoring period. This is the preset residual amount of surfactant. Let a be the start time of the a-th monitoring period. This is the end time of the a-th monitoring period;

[0092] Using the above technical solution, this example provides the pressure ulcer risk impact coefficient for the i-th monitored area during the a-th monitored time period. It can be done through the formula The calculation yields the result, where the formula is... The change in microbial content in the i-th monitoring area during the a-th monitoring time period can be calculated. Clearly, the larger the ultraviolet fluorescence reaction area and fluorescence intensity of the i-th monitoring area during the a-th monitoring time period, and the higher the residual amount of surfactant and the change in microbial content in the i-th monitoring area during the a-th monitoring time period, the greater the pressure ulcer risk impact coefficient for the i-th monitoring area during the a-th monitoring time period. The higher the value, the more likely the patient is to develop pressure sores in the i-th monitored area during the current monitoring period;

[0093] Conversely, the smaller the ultraviolet fluorescence reaction area and fluorescence intensity of the i-th monitoring area during the a-th monitoring time period, and the lower the residual amount of surfactant in the i-th monitoring area during the a-th monitoring time period and the lower the change in microbial content in the i-th monitoring area during the a-th monitoring time period, then the pressure ulcer risk impact coefficient of the i-th monitoring area during the a-th monitoring time period is. The lower the threshold, the better. By setting it up in this way, we can analyze the risk of pressure ulcers in different monitoring areas during the current monitoring period based on diverse data such as the risk of friction to the patient and the risk of skin irritation from bed sheet contamination. This provides accurate data for the subsequent assessment of adjusting the pressure ulcer monitoring risk threshold and improves the accuracy of the assessment results.

[0094] The comparison process in S3 includes:

[0095] By using the pressure ulcer risk impact coefficient of all areas during the a-th monitoring period Each is compared with the preset pressure ulcer risk impact coefficient threshold. Perform a comparison;

[0096] If any Greater than or equal to The system determined that the user's risk of pressure ulcers was increased due to additional impacts during the monitoring period, and the pressure ulcer monitoring risk threshold needed to be adjusted.

[0097] If all All less than The system determined that the user's pressure ulcer risk was not additionally affected during the monitoring period, and therefore no adjustment to the pressure ulcer pressure monitoring risk threshold was required.

[0098] Using the above technical solution, this example uses the pressure ulcer risk impact coefficient of all areas during the a-th monitoring period. Each is compared with the preset pressure ulcer risk impact coefficient threshold. By comparing the data, which is based on diversified data calculations, the reliability of the data is relatively high. This comparison method can accurately determine whether the risk of pressure ulcers in the monitored patient will be additionally affected during the monitoring period, including the risk of rubbing and the risk of skin irritation from bed sheet contamination. After combining the judgment results with analysis, it can be decided whether to adjust the pressure ulcer monitoring risk threshold, thereby improving the accuracy of subsequent patient pressure ulcer risk analysis results.

[0099] The adjustment process of the threshold adjustment module includes:

[0100] When it is determined that the risk threshold for pressure ulcer monitoring needs to be adjusted;

[0101] Through formula Calculate and obtain the adjusted pressure ulcer risk threshold for the a-th monitoring period. ;

[0102] in, The preset pressure ulcer risk threshold is used for monitoring. For all The maximum value in, Let be the average ambient temperature during the a-th monitoring period. The average ambient humidity during the a-th monitoring period is... The preset ambient temperature, The preset ambient humidity, The user's weight impact factor was set based on empirical fitting. and This is a proportionality coefficient, set based on empirical fitting. For the adjustment coefficient lookup table function, the value of the adjustment coefficient lookup table function is related to... The numerical values ​​correspond one-to-one. Specifically, the adjustment coefficient lookup table function can be based on empirical data. The range of numerical values ​​was fitted to determine the degree of influence of the pressure ulcer monitoring risk threshold.

[0103] Through the above technical solution, this example provides the adjusted pressure ulcer monitoring risk threshold for the a-th monitoring period. It can be done through the formula This calculation method allows for the dynamic adjustment of the pressure ulcer risk threshold based on diverse data, such as the patient's potential friction risk and the risk of skin irritation from bed sheet contamination, combined with real-time environmental data. This improves the reliability of the pressure ulcer risk threshold, thereby enhancing the sensitivity of pressure ulcer risk monitoring and ultimately increasing the accuracy of the patient's pressure ulcer risk assessment results.

[0104] Please see Figure 3 As shown, a pressure ulcer monitoring device includes a controller body 2 and a pressure sensing pad 1, wherein the controller body 2 and the pressure sensing pad 1 are fixedly connected.

[0105] The controller body 2 is equipped with a data recording module, a region division module, a data acquisition module, a data calculation module, a data evaluation module, a threshold adjustment module, and a monitoring module.

[0106] The data recording module is used to record the material characteristics data of different types of mattresses and sheets;

[0107] The area division module is used to divide the patient into multiple monitoring areas based on the location of each monitoring site.

[0108] The data acquisition module is used to collect data on bed sheet residues and chemical contaminants at fixed time intervals;

[0109] The data calculation module is used to calculate the friction risk index for each monitoring period by combining the data recorded by the data recording module.

[0110] The data evaluation module is used to combine the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk in each monitoring area during different monitoring time periods, and to assess whether it is necessary to adjust the pressure ulcer monitoring risk threshold.

[0111] The threshold adjustment module is used to adjust the pressure ulcer pressure monitoring risk threshold by combining the pressure ulcer risk impact coefficient of different monitoring time periods in each monitoring area when it is determined that the pressure ulcer pressure monitoring risk threshold needs to be adjusted.

[0112] The monitoring module is used to analyze the patient's pressure ulcer risk by combining real-time pressure data collected from various parts of the patient with the adjusted pressure ulcer monitoring risk threshold.

[0113] Through the above technical solution, this example provides a pressure ulcer monitoring device. In use, the pressure-sensing pad 1 is first placed under the mattress. The data recording module within the controller body 2 records the factory data for different types of mattresses and sheets, and allows for manual replacement of mattress and sheet types. During use, the pressure-sensing pad 1 is first divided into multiple monitoring areas by the area division module, taking into account the location of the patient's various monitoring sites. The data acquisition module collects data on sheet residue and chemical contaminants at fixed time intervals. Then, the data calculation module, combined with the data recorded by the data recording module, calculates the data for each monitoring period. The friction risk index of each segment is calculated, and the data evaluation module combines the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk of each monitoring area at different monitoring time periods. It also assesses whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted. Finally, when it is determined that the pressure ulcer pressure monitoring risk threshold needs to be adjusted, the threshold adjustment module can be used to adjust the pressure ulcer pressure monitoring risk threshold by combining the pressure ulcer risk influence coefficient of each monitoring area at different monitoring time periods. The monitoring module is used to combine the pressure data of each part of the patient collected in real time with the adjusted pressure ulcer pressure monitoring risk threshold to analyze the patient's pressure ulcer risk.

[0114] With this setup, during use, the pressure sensor pad 1 monitors the pressure distribution of various parts of the patient's body in real time and converts the pressure signal into an electrical signal, which is then transmitted to the controller body 2. The controller body 2 can then combine the dynamically adjusted pressure ulcer monitoring risk threshold to determine whether the pressure on various parts of the patient's body exceeds the safe pressure threshold and analyze the duration of pressure, so as to detect potential pressure ulcer risks in a timely manner and improve nursing efficiency.

[0115] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A pressure ulcer monitoring system, characterized in that, The system includes: The data recording module is used to record the material characteristics data of different types of mattresses and sheets; The area division module is used to divide the patient into multiple monitoring areas based on the location of each monitoring site. The data acquisition module is used to collect data on bed sheet residues and chemical contaminants at fixed time intervals; The data calculation module is used to calculate the friction risk index for each monitoring period by combining the data recorded by the data recording module. The data assessment module is used to combine the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk in each monitoring area at different monitoring time periods, and to assess whether the pressure ulcer pressure monitoring risk threshold needs to be adjusted. The threshold adjustment module is used to adjust the pressure ulcer pressure monitoring risk threshold when it is determined that it is necessary to adjust the pressure ulcer pressure monitoring risk threshold, taking into account the pressure ulcer risk impact coefficient of different monitoring time periods in each monitoring area. The monitoring module is used to analyze the patient's pressure ulcer risk by combining real-time pressure data collected from various parts of the patient with the adjusted pressure ulcer monitoring risk threshold.

2. The anti-bedsore monitoring system according to claim 1, characterized in that, The evaluation process of the data evaluation module includes: S1: By assigning values ​​to the friction risk index for each monitoring period, friction risk values ​​for different monitoring periods can be obtained. S2: By combining the data collected by the data acquisition module with the friction risk values ​​for different monitoring time periods, the impact coefficient of pressure ulcer risk for each monitoring area during different monitoring time periods is calculated; S3: Compare the pressure ulcer risk impact coefficients of all monitored areas during the same monitoring period with the preset pressure ulcer risk impact coefficient thresholds, and assess whether the pressure ulcer pressure monitoring risk thresholds need to be adjusted based on the comparison results.

3. The anti-bedsore monitoring system according to claim 2, characterized in that, The calculation process of the data calculation module includes: Through formula Calculate the friction risk index for the a-th monitoring period. ; Where 'a' represents any monitoring period. Let be the coefficient of friction of the bed sheet during the a-th monitoring period. The preset coefficient of friction for the bed sheet. To define a function, if Then let Otherwise, let , The roughness of the bed sheet during the a-th monitoring period. The preset sheet roughness, The mattress breathability during the a-th monitoring period. The preset breathability, Let be the moisture absorption rate during the a-th monitoring period. The preset moisture absorption rate, The error influence coefficient is set based on empirical fitting. and These are weighting coefficients, set based on empirical fitting.

4. The anti-bedsore monitoring system according to claim 3, characterized in that, The assignment process in S1 includes: By analyzing the friction risk index during the a-th monitoring period Assign values ​​to generate a friction risk index between 1 and 1.2, which increases with the a-th monitoring period. The friction risk value during the a-th monitoring period increases with the increase in the number of monitoring periods. Among them, the friction risk index of the a-th monitoring period The friction risk value for the corresponding monitoring period a is set as follows: .

5. The anti-bedsore monitoring system according to claim 4, characterized in that, The calculation process in S2 includes: The microbial content in the i-th region is collected in real time using the ATP biofluorescence detection method via the data acquisition module. And establish a curve showing the change of microbial content over time. ; Through formula Calculate the pressure ulcer risk impact coefficient for the i-th monitored area during the a-th monitored period. ; in, Let be the area of ​​ultraviolet fluorescence reaction in the i-th monitoring area during the a-th monitoring time period. Let i be the total area of ​​the i-th monitored area. Fluorescence intensity in the i-th monitored area during the a-th monitored time period The preset fluorescence intensity, The residual amount of surfactant in the i-th monitoring area during the a-th monitoring period. This is the preset residual amount of surfactant. Let a be the start time of the a-th monitoring period. This is the end time of the a-th monitoring period.

6. The anti-bedsore monitoring system according to claim 5, characterized in that, The comparison process in S3 includes: By using the pressure ulcer risk impact coefficient of all areas during the a-th monitoring period Each is compared with the preset pressure ulcer risk impact coefficient threshold. Perform a comparison; If any Greater than or equal to The system determined that the user's risk of pressure ulcers was increased due to additional impacts during the monitoring period, and the pressure ulcer monitoring risk threshold needed to be adjusted. If all All less than The system determined that the user's pressure ulcer risk was not additionally affected during the monitoring period, and therefore no adjustment to the pressure ulcer pressure monitoring risk threshold was required.

7. The anti-bedsore monitoring system according to claim 6, characterized in that, The adjustment process of the threshold adjustment module includes: When it is determined that the risk threshold for pressure ulcer monitoring needs to be adjusted; Through formula Calculate and obtain the adjusted pressure ulcer risk threshold for the a-th monitoring period. ; in, The preset pressure ulcer risk threshold is used for monitoring. For all The maximum value in, Let be the average ambient temperature during the a-th monitoring period. The average ambient humidity during the a-th monitoring period is... The preset ambient temperature, The preset ambient humidity, The user's weight impact factor was set based on empirical fitting. and This is a proportionality coefficient, set based on empirical fitting. For the adjustment coefficient lookup table function, the value of the adjustment coefficient lookup table function is related to... The range of values ​​corresponds one-to-one.

8. A bedpan ulcer monitoring device, characterized in that, A pressure ulcer monitoring system according to any one of claims 1-7 includes a controller body (2) and a pressure sensing pad (1), wherein the controller body (2) and the pressure sensing pad (1) are fixedly connected; The controller body (2) is equipped with a data recording module, a region division module, a data acquisition module, a data calculation module, a data evaluation module, a threshold adjustment module and a monitoring module; The data recording module is used to record the material characteristics data of different types of mattresses and sheets; The area division module is used to divide the patient into multiple monitoring areas based on the location of each monitoring site. The data acquisition module is used to collect data on bed sheet residues and chemical contaminants at fixed time intervals; The data calculation module is used to calculate the friction risk index for each monitoring period by combining the data recorded by the data recording module. The data evaluation module is used to combine the data collected by the data acquisition module with the friction risk analysis results of each monitoring time period to analyze the pressure ulcer risk in each monitoring area at different monitoring time periods, and to assess whether it is necessary to adjust the pressure ulcer pressure monitoring risk threshold. The threshold adjustment module is used to adjust the pressure ulcer pressure monitoring risk threshold by combining the pressure ulcer risk impact coefficient of different monitoring time periods in each monitoring area when it is determined that the pressure ulcer pressure monitoring risk threshold needs to be adjusted. The monitoring module is used to analyze the patient's pressure ulcer risk by combining real-time pressure data collected from various parts of the patient with the adjusted pressure ulcer monitoring risk threshold.

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