Wound surface monitoring system

Abstract

The invention relates to the field of medical equipment, in particular to a wound monitoring system. The wound surface data acquisition equipment is used for acquiring current wound surface data of a target wound surface; the electronic equipment processes the current wound surface data, determines a current wound surface bacterial load and a current wound surface infection type corresponding to the target wound surface, and determines a monitoring result; the server correspondingly stores the current wound surface data, the current wound surface bacterial load, the current wound surface infection type, a target wound surface and a target wound surface patient corresponding to the target wound surface, and displays the current wound surface data, the current wound surface bacterial load and the current wound surface infection type to a target user; and the server performs statistical analysis on the current wound infection type corresponding to each target wound patient, determines wound infection characteristics corresponding to each target wound patient group, and generates a corresponding crowd wound nursing mode. Therefore, the accuracy of the obtained current wound surface data is ensured, and the processing and tracing of the current wound surface data are realized.

Description

Technical Field

[0001] The present invention relates to the field of medical equipment, and in particular to a wound monitoring system. Background Art

[0002] Infection is one of the main causes of prolonged wound healing, which not only brings huge economic burden to patients but also significantly affects their quality of life.

[0003] At present, it is usually necessary to determine the infection status of the wound and whether the wound needs to be cleaned and dressed based on the subjective judgment of medical staff. However, empirical dressing changes interfere with the normal healing process of the wound and increase the risk of infection.

[0004] In addition, the above method cannot generate accurate wound surface data, so the wound surface data cannot be stored, and thus the wound surface data cannot be uniformly processed and traced. Summary of the invention

[0005] In view of this, the present invention provides a wound monitoring system to solve the problem that accurate wound data cannot be generated, and therefore the wound data cannot be stored, and thus the wound data cannot be uniformly processed and traced.

[0006] In a first aspect, the present invention provides a wound monitoring system, the wound monitoring system comprising: a wound data acquisition device, an electronic device and a server, wherein the wound data acquisition device is communicatively connected to the electronic device, and the electronic device is communicatively connected to the server, wherein:

[0007] A wound surface data acquisition device, used to acquire current wound surface data of a target wound surface and transmit the current wound surface data to an electronic device;

[0008] An electronic device, used to receive current wound surface data, process the current wound surface data, determine the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface; determine the monitoring result corresponding to the target wound surface according to the current wound surface bacterial load, and send the current wound surface data, the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface to the server;

[0009] The server is used to store the current wound data, the current wound bacterial load, the current wound infection type, the target wound, and the target wound patient corresponding to the target wound, so as to facilitate the tracing of all wound data corresponding to the target wound, and to display the current wound data, the current wound bacterial load, and the current wound infection type to the target user;

[0010] The server is also used to perform statistical analysis on the current wound infection type corresponding to each target wound patient, determine the wound infection characteristics corresponding to each target wound patient group, and generate corresponding wound care methods for the population based on the wound infection characteristics.

[0011] The wound monitoring system provided in the embodiment of the present application, the wound data acquisition device, is used to collect the current wound data of the target wound, and transmit the current wound data to the electronic device, so that the electronic device can obtain the current wound data of the target wound. The electronic device is used to receive the current wound data, process the current wound data, determine the current wound bacterial load and the current wound infection type corresponding to the target wound, ensure the accuracy of the determined current wound bacterial load and the current wound infection type, and then determine the monitoring result corresponding to the target wound according to the current wound bacterial load, and ensure the accuracy of the determined monitoring result. And the current wound data, the current wound bacterial load and the current wound infection type corresponding to the target wound are sent to the server. So that the server can store the current wound data, the current wound bacterial load and the current wound infection type corresponding to the target wound. The server is used to store the current wound data, the current wound bacterial load, the current wound infection type and the target wound and the target wound patient corresponding to the target wound, so as to realize the storage of the wound data of the target wound, and facilitate the tracing of all wound data corresponding to the target wound. The current wound data, the current wound bacterial load and the current wound infection type are displayed to the target user, so that the target user can receive the current wound bacterial load and the current wound infection type. The server is also used to perform statistical analysis on the current wound infection type corresponding to each target wound patient, determine the wound infection characteristics corresponding to each target wound patient group, and ensure the accuracy of the wound infection characteristics corresponding to each target wound patient group. According to the wound infection characteristics, the corresponding population wound care method is generated, and the accuracy of the generated population wound care method is ensured, so that specific populations can be cared for according to the population wound care method.

[0012] In an optional embodiment, the wound surface data collection device includes: at least one of a temperature collection component, an infiltration humidity collection component, a pH value collection component, a lactic acid collection component, a uric acid collection component, a glucose collection component, and a cytokine and inflammation-related protein collection component;

[0013] A temperature collection component is used to collect the current wound temperature of the target wound surface;

[0014] An infiltration humidity collection component is used to collect the current infiltration humidity of the target wound surface;

[0015] A pH value collection component, used to collect the current wound pH value of the target wound surface;

[0016] A lactic acid collection component, used to collect the current wound lactic acid of the target wound surface;

[0017] A uric acid collection component, used to collect the current wound uric acid of the target wound;

[0018] A glucose collection component, used to collect the current wound surface glucose of the target wound surface;

[0019] The cytokine and inflammation-related protein collection component is used to collect the current wound inflammatory factors of the target wound.

[0020] The wound monitoring system provided in the embodiment of the present application, the wound data collection device includes: at least one of a temperature collection component, an infiltration humidity collection component, a pH value collection component, a lactic acid collection component, a uric acid collection component, a glucose collection component, and a cytokine and inflammation-related protein collection component; the temperature collection component is used to collect the current wound temperature of the target wound; the infiltration humidity collection component is used to collect the current infiltration humidity of the target wound; the pH value collection component is used to collect the current wound pH value of the target wound; the lactic acid collection component is used to collect the current wound lactic acid of the target wound; the uric acid collection component is used to collect the current wound uric acid of the target wound; the glucose collection component is used to collect the current wound glucose of the target wound; the cytokine and inflammation-related protein collection component is used to collect the current wound inflammatory factors of the target wound, so that one or more physiological parameters of the current wound temperature, current infiltration humidity, current wound pH value, current wound lactic acid, current wound uric acid, current wound glucose, and current wound inflammatory factors corresponding to the target wound can be collected, and the accuracy of the collected physiological parameters can be guaranteed.

[0021] In an optional embodiment, the cytokine and inflammation-related protein collection component includes at least one of a matrix metalloproteinase 9 sensor, a matrix metalloproteinase inhibitor 1 sensor, an interleukin 1β sensor, a tumor necrosis factor α sensor, and an interleukin 6 sensor.

[0022] The wound monitoring system provided in the embodiment of the present application, the cytokine and inflammation-related protein collection component, includes at least one of a matrix metalloproteinase 9 sensor, a matrix metalloproteinase inhibitor 1 sensor, an interleukin 1β sensor, a tumor necrosis factor α sensor and an interleukin 6 sensor, thereby ensuring that at least one of matrix metalloproteinase 9, matrix metalloproteinase inhibitor 1, interleukin 1β, tumor necrosis factor α and interleukin 6 is collected.

[0023] In an optional embodiment, the current wound data includes one or more physiological parameters of the current wound temperature, current infiltration humidity, current wound pH value, current wound lactic acid, current wound uric acid, current wound glucose, and current wound inflammatory factors. The electronic device is used to obtain the target site corresponding to the target wound; obtain the target wound infection determination model corresponding to the target site according to the correspondence between the site and the wound infection determination model; input the current wound data into the target wound infection determination model, the target wound infection determination model performs feature extraction on the current wound data, and outputs the current wound bacterial load and the current wound infection type based on the extracted features.

[0024] In the wound monitoring system provided in the embodiment of the present application, the electronic device is used to obtain the target part corresponding to the target wound; according to the correspondence between the part and the wound infection determination model, the target wound infection determination model corresponding to the target part is obtained, thereby ensuring the accuracy of the determined target wound infection determination model and the correspondence with the target wound. The current wound data is input into the target wound infection determination model, and the target wound infection determination model extracts features from the current wound data, and based on the extracted features, the current wound bacterial load and the current wound infection type are output, thereby ensuring the accuracy of the output current wound bacterial load.

[0025] In an optional embodiment, the electronic device is further used to obtain multiple sets of historical wound surface data; the historical wound surface data includes one or more physiological parameters of historical wound surface temperature, historical infiltration humidity, historical wound surface pH value, historical wound surface lactic acid, historical wound surface uric acid, historical wound surface glucose, and historical wound surface inflammatory factors;

[0026] Based on the gold standard of the historical wound bacterial load and historical wound infection type corresponding to each group of historical wound data, each group of historical wound data is labeled to generate the first wound data training set;

[0027] Performing data enhancement processing on each group of first wound surface training data in the first wound surface data training set to generate a second training data set;

[0028] Performing high-dimensional feature learning on the second training data in the second training data set to generate multiple groups of high-dimensional features;

[0029] Divide the generated multiple groups of high-dimensional features into a high-dimensional feature training set and a high-dimensional feature verification set;

[0030] The high-dimensional feature training set is input into the initial wound infection determination network, and a preset multiple nested cross-validation is performed, and each repeated nested cross-validation is performed on the high-dimensional feature training set; wherein, in the nested cross-validation, the outer loop cross-validation is used to resample the high-dimensional feature training set, and the inner loop cross-validation is used to perform hyperparameter tuning and feature selection on each high-dimensional feature training set of the outer loop cross-validation, wherein, in the inner loop cross-validation, the default parameters of the grid search function are used to try different hyperparameter combinations, and the best hyperparameters and stable features are selected;

[0031] A candidate wound infection determination model was created based on the best hyperparameters and stable features from the nested cross-validation training;

[0032] Using the high-dimensional feature validation set, the candidate wound infection determination model is validated based on the preset loss function to obtain the validation results;

[0033] According to the verification results, the optimal hyperparameters corresponding to the candidate wound infection determination model are adjusted to generate the target wound infection determination model.

[0034] In the wound monitoring system provided in the embodiment of the present application, the electronic device obtains multiple groups of historical wound data, and based on the historical wound bacterial load corresponding to each group of historical wound data and the gold standard of the historical wound infection type, each group of historical wound data is labeled to generate a first wound data training set, thereby ensuring the accuracy of the labeling of each group of historical wound data and the accuracy of the generated first wound data training set. Data enhancement processing is performed on each group of first wound training data in the first wound data training set to generate a second training data set, thereby ensuring the accuracy of the generated second training data set and ensuring that the data of the generated second training data set is comprehensive and the data volume is large. High-dimensional feature learning is performed on the second training data in the second training data set to generate multiple groups of high-dimensional features; the accuracy of the generated multiple groups of high-dimensional features and the diversification of features are ensured. The generated multiple groups of high-dimensional features are divided into a high-dimensional feature training set and a high-dimensional feature verification set. The high-dimensional feature training set is input into the initial wound infection determination network, and a preset multiple nested cross-validation is performed. Each repeated nested cross-validation is performed on the high-dimensional feature training set; wherein, in the nested cross-validation, the outer loop cross-validation is used to resample the high-dimensional feature training set, and the inner loop cross-validation is used to perform hyperparameter tuning and feature selection on each high-dimensional feature training set of the outer loop cross-validation. wherein, in the inner loop cross-validation, the default parameters of the grid search function are used to try different hyperparameter combinations, and the best hyperparameters and stable features are selected, thereby ensuring the accuracy of the selected best hyperparameters. Based on the best hyperparameters and stable features in the nested cross-validation training, a candidate wound infection determination model is created, thereby ensuring the accuracy of the created candidate wound infection determination model. Using the high-dimensional feature validation set, the candidate wound infection determination model is validated based on the preset loss function to obtain the validation result, thereby ensuring the accuracy of the obtained validation result. According to the validation result, the optimal hyperparameters corresponding to the candidate wound infection determination model are adjusted to generate the target wound infection determination model, thereby ensuring the accuracy of the generated target wound infection determination model.

[0035] In an optional embodiment, the electronic device is used to compare the current wound bacterial load with a first wound bacterial load threshold and a second wound bacterial load threshold, respectively; wherein the first wound bacterial load threshold is greater than the second wound bacterial load threshold;

[0036] When the bacterial load of the current wound surface is greater than the first wound surface bacterial load threshold, the monitoring result corresponding to the target wound surface is determined to be a first-level monitoring result;

[0037] When the current wound bacterial load is less than the first wound bacterial load threshold and greater than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a secondary monitoring result;

[0038] When the current wound bacterial load is less than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a third-level monitoring result; the wound infection degree corresponding to the first-level monitoring result is greater than the second-level monitoring result, and the wound infection degree corresponding to the second-level monitoring result is greater than the third-level monitoring result.

[0039] In the wound monitoring system provided in the embodiment of the present application, the electronic device is used to compare the current wound bacterial load with the first wound bacterial load threshold and the second wound bacterial load threshold respectively; when the current wound bacterial load is greater than the first wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a first-level monitoring result, thereby ensuring the accuracy of the determined first-level monitoring result. When the current wound bacterial load is less than the first wound bacterial load threshold and greater than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a second-level monitoring result, thereby ensuring the accuracy of the determined second-level monitoring result. When the current wound bacterial load is less than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a third-level monitoring result, thereby ensuring the accuracy of the determined third-level monitoring result.

[0040] In an optional implementation, the wound monitoring system further includes a camera device, which is communicatively connected to the electronic device, wherein:

[0041] A camera device is used to capture images of the target wound surface, generate a current wound surface image, and transmit the current wound surface image to an electronic device;

[0042] An electronic device, used to process the current wound surface image, determine the current wound surface area and the current wound surface depth corresponding to the target wound surface, and store the current wound surface area and the current wound surface depth in correspondence with the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface, so as to facilitate tracing the recovery of the target wound surface;

[0043] The electronic device is also used to send the current wound image, current wound area and current wound depth corresponding to the target wound to the server, so that the server can store the current wound image, current wound area, current wound depth and the target wound in correspondence.

[0044] The wound monitoring system provided by the embodiment of the present application also includes a camera device, which is connected to the electronic device in communication, and the camera device is used to capture images of the target wound surface, generate a current wound surface image, and transmit the current wound surface image to the electronic device. So that the electronic device can receive the current wound surface image and process the current wound surface image. The electronic device is used to process the current wound surface image, determine the current wound surface area and the current wound surface depth corresponding to the target wound surface, and ensure the accuracy of the current wound surface area and the current wound surface depth of the determined target wound surface. And the current wound surface area and the current wound surface depth are stored in correspondence with the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface, so as to trace the recovery of the target wound surface. The electronic device is also used to send the current wound surface image, the current wound surface area and the current wound surface depth corresponding to the target wound surface to the server, so that the server stores the current wound surface image, the current wound surface area, the current wound surface depth and the target wound surface in correspondence, so that the server can store all the wound surface data corresponding to the target wound surface in correspondence.

[0045] In an optional embodiment, the electronic device is used to input the current wound image into a preset wound image recognition model, which performs feature extraction on the current wound image and outputs the current wound area and current wound depth corresponding to the target wound based on the extracted features.

[0046] The wound monitoring system and electronic device provided in the embodiments of the present application are also used to input the current wound image into a preset wound image recognition model. The preset wound image recognition model performs feature extraction on the current wound image, and outputs the current wound area and current wound depth corresponding to the target wound based on the extracted features, thereby ensuring the accuracy of the output current wound area and current wound depth corresponding to the target wound.

[0047] In an optional implementation, the electronic device is further used to receive the historical wound area, historical wound depth, and historical wound bacterial load corresponding to the target wound sent by the server, compare the historical wound area with the current wound area, compare the historical wound depth with the current wound depth, and compare the historical wound bacterial load with the current wound bacterial load;

[0048] If the wound area difference between the historical wound area and the current wound area is greater than the preset area difference, and the wound depth difference between the historical wound depth and the current wound depth is greater than the preset depth difference, and the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is greater than the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be good recovery;

[0049] If the wound area difference between the historical wound area and the current wound area is less than or equal to the preset area difference, or the wound depth difference between the historical wound depth and the current wound depth is less than or equal to the preset depth difference, or the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is less than or equal to the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be poor recovery, and a prompt message for strengthening wound care is output.

[0050] In the wound monitoring system provided in the embodiment of the present application, the electronic device is also used to receive the historical wound area, historical wound depth and historical wound bacterial load corresponding to the target wound sent by the server, compare the historical wound area with the current wound area, compare the historical wound depth with the current wound depth, and compare the historical wound bacterial load with the current wound bacterial load. If the wound area difference between the historical wound area and the current wound area is greater than the preset area difference, and the wound depth difference between the historical wound depth and the current wound depth is greater than the preset depth difference, and the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is greater than the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be well recovered, ensuring the accuracy of the determined recovery result corresponding to the target wound being well recovered. If the wound area difference between the historical wound area and the current wound area is less than or equal to the preset area difference, or the wound depth difference between the historical wound depth and the current wound depth is less than or equal to the preset depth difference, or the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is less than or equal to the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be poor recovery, and a prompt message for strengthening wound care is output. The accuracy of the recovery result corresponding to the determined target wound as poor recovery is ensured, and the user can be prompted to strengthen wound care by outputting the prompt message so that the target wound can recover.

[0051] In an optional implementation, the wound surface data collection device and the electronic device are detachable, and the electronic device is communicatively connected with at least one wound surface data collection device, wherein:

[0052] An electronic device is used to send current wound data, current wound bacterial load, current wound infection type, current wound image, current wound area, current wound depth and recovery result of the target wound to the terminal device corresponding to the target wound patient, and when the monitoring result is a first-level monitoring result, send a corresponding operation plan to the terminal device.

[0053] The wound monitoring system and electronic device provided in the embodiment of the present application are used to send the current wound data, the current wound bacterial load, the current wound infection type, the current wound image, the current wound area, the current wound depth and the recovery result of the target wound to the terminal device corresponding to the target wound patient, and when the monitoring result is a first-level monitoring result, send the corresponding operation plan to the terminal device, so that the target patient can complete the debridement according to the operation plan, without going to the hospital. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 is a structural schematic diagram of a wound monitoring system according to an embodiment of the present invention;

[0056] Figure 2 is a structural schematic diagram of another wound monitoring system according to an embodiment of the present invention;

[0057] Figure 3 4 is a schematic diagram of the structure of another wound monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0059] In this embodiment, a wound monitoring system is provided. Figure 1 As shown, the wound surface monitoring system includes: a wound surface data acquisition device 1, an electronic device 2 and a server 3, wherein the wound surface data acquisition device 1 is communicatively connected to the electronic device 2, and the electronic device 2 is communicatively connected to the server 3, wherein:

[0060] The wound surface data acquisition device 1 is used to acquire the current wound surface data of the target wound surface and transmit the current wound surface data to the electronic device 2;

[0061] Electronic device 2, used for receiving current wound surface data, processing the current wound surface data, determining the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface; determining the monitoring result corresponding to the target wound surface according to the current wound surface bacterial load, and sending the current wound surface data, the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface to server 3;

[0062] Server 3 is used to store the current wound data, the current wound bacterial load, the current wound infection type, the target wound, and the target wound patient corresponding to the target wound, so as to facilitate the tracing of all wound data corresponding to the target wound, and to display the current wound data, the current wound bacterial load, and the current wound infection type to the target user;

[0063] Server 3 is also used to perform statistical analysis on the current wound infection type corresponding to each target wound patient, determine the wound infection characteristics corresponding to each target wound patient group, and generate corresponding wound care methods for the group according to the wound infection characteristics.

[0064] Specifically, the wound data acquisition device 1 can be a wound dressing device, which includes a plurality of target wound physiological parameter acquisition devices, so that the wound dressing device can be applied to the target wound to collect the current wound data corresponding to the target wound.

[0065] Then, the wound surface data acquisition device 1 transmits the collected current wound surface data of the target wound surface to the electronic device 2 based on the communication connection between the wound surface data acquisition device 1 and the electronic device 2 .

[0066] It should be noted that the electronic device 2 may be an independent terminal device, which may include a processor and a memory.

[0067] After receiving the current wound surface data corresponding to the target wound surface, the electronic device 2 may identify the current wound surface data, and determine the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface according to the identification result.

[0068] The current wound infection type may include but is not limited to at least one of bacterial infections such as Staphylococcus aureus infection, Pseudomonas aeruginosa infection, and Klebsiella pneumoniae infection. The present embodiment of the application does not specifically limit the current wound infection type.

[0069] The electronic device 2 can compare the current wound bacterial load with the preset bacterial load threshold, and determine the monitoring result corresponding to the target wound according to the comparison result. Then, the electronic device 2 can send the current wound data, the current wound bacterial load, and the current wound infection type corresponding to the target wound to the server 3, so that the current wound data, the current wound bacterial load, and the current wound infection type corresponding to the target wound can be stored accordingly.

[0070] After receiving the current wound data, current wound bacterial load and current wound infection type corresponding to the target wound, server 3 can store the current wound data, current wound bacterial load and current wound infection type in correspondence with the target wound and the target wound patient corresponding to the target wound, so as to facilitate the tracing of all wound data corresponding to the target wound. Then, server 3 can also display the current wound data, current wound bacterial load and current wound infection type corresponding to the target wound to the target user. Among them, the target personnel can be medical staff, so that medical staff can provide remote medical guidance through the system, issue treatment and nursing plans to nursing staff, explore the wound management model of telemedicine, avoid empirical dressing changes, and realize the prediction and early diagnosis of wound infection.

[0071] Based on the above content, it can be known that the server can store the current wound infection type corresponding to each target wound. Then, the server 3 can perform statistical analysis on the current wound infection type corresponding to each target wound patient, and determine the wound infection characteristics corresponding to each target wound patient group. Exemplarily, the server 3 can classify and count the age or gender of each target wound patient, count the number of various current wound infection types at each age stage, and then determine the wound infection characteristics corresponding to each target wound patient group at each age stage. Exemplary. The wounds of young patients are mainly infected with Gram-positive bacteria, and the wounds of elderly patients are mainly infected with Gram-negative bacteria.

[0072] Then, the server 3 can generate corresponding wound care methods for each target wound patient group according to the wound infection characteristics corresponding to each target wound patient group. For example, vancomycin can be recommended for debridement of gram-positive resistant bacteria infection; aminoglycosides can be recommended for debridement of gram-negative resistant bacteria infection.

[0073] The wound monitoring system provided in the embodiment of the present application, the wound data acquisition device 1, is used to collect the current wound data of the target wound, and transmit the current wound data to the electronic device 2, so that the electronic device 2 can obtain the current wound data of the target wound. The electronic device 2 is used to receive the current wound data, and process the current wound data, determine the current wound bacterial load and the current wound infection type corresponding to the target wound, and ensure the accuracy of the determined current wound bacterial load and the current wound infection type, and then can determine the monitoring result corresponding to the target wound according to the current wound bacterial load, and ensure the accuracy of the determined monitoring result. And send the current wound data, the current wound bacterial load and the current wound infection type corresponding to the target wound to the server 3. So that the server 3 can store the current wound data, the current wound bacterial load and the current wound infection type corresponding to the target wound.

[0074] Server 3 is used to store the current wound data, the current wound bacterial load, the current wound infection type, the target wound, and the target wound patient corresponding to the target wound, thereby realizing the storage of the wound data of the target wound, and facilitating the tracing of all wound data corresponding to the target wound. The current wound data, the current wound bacterial load, and the current wound infection type are displayed to the target user, so that the target user can receive the current wound bacterial load and the current wound infection type. Server 3 is also used to perform statistical analysis on the current wound infection type corresponding to each target wound patient, determine the wound infection characteristics corresponding to each target wound patient group, and ensure the accuracy of the wound infection characteristics corresponding to each target wound patient group. According to the wound infection characteristics, the corresponding population wound care method is generated, which ensures the accuracy of the generated population wound care method, and then specific populations can be cared for according to the population wound care method.

[0075] In an optional embodiment of the present application, Figure 2 As shown, the wound surface data collection device 1 includes: at least one of a temperature collection component 11, an infiltration humidity collection component 12, a pH value collection component 13, a lactic acid collection component 14, a uric acid collection component 15, a glucose collection component 16, and a cytokine and inflammation-related protein component 17;

[0076] The temperature collection component 11 is used to collect the current wound temperature of the target wound surface;

[0077] The infiltration humidity collection component 12 is used to collect the current infiltration humidity of the target wound surface;

[0078] A pH value collection component 13, used to collect the current wound pH value of the target wound surface;

[0079] A lactic acid collection component 14 is used to collect the current wound lactic acid of the target wound surface;

[0080] The uric acid collection component 15 is used to collect the current wound surface uric acid of the target wound surface;

[0081] A glucose collection component 16 is used to collect the current wound surface glucose of the target wound surface;

[0082] The cytokine and inflammation-related protein component 17 is used to collect the current wound inflammatory factors of the target wound.

[0083] Among them, the cytokine and inflammation-related protein component 17 includes at least one of a matrix metalloproteinase 9 sensor, a matrix metalloproteinase inhibitor 1 sensor, an interleukin 1β sensor, a tumor necrosis factor α sensor and an interleukin 6 sensor.

[0084] Specifically, the current wound temperature can reflect information such as local blood flow, lymphocyte infiltration and infection, which is mainly determined by the periwound blood flow and ambient temperature, while the local blood flow is affected by vasoactive substances and ambient temperature.

[0085] The current wound humidity is highly correlated with the target wound healing. The current wound humidity refers to the infiltration humidity rather than the air humidity. A moist environment is not only conducive to maintaining cell vitality, promoting regeneration, enhancing immune cell function and promoting epidermal cell migration, but also reduces scars. However, increased exudation also indicates an increase in local inflammation and a high risk of infection. The current wound pH is highly correlated with biological processes such as infection, angiogenesis and enzyme activity. The acidic environment can promote fibroblast proliferation, angiogenesis and epithelialization, and inhibit bacterial reproduction. The pH value of chronic wounds is often higher than that of normal wounds, and infection can cause it to increase further.

[0086] Indicators such as current wound lactic acid, current wound uric acid, and current wound glucose concentration also reflect the metabolism and bacterial colonization of the target wound. However, the presence of bacteria in the wound does not mean infection. Generally speaking, infection will only occur when the bacterial load on the wound exceeds 105 cFU / mL, but this value varies due to differences in individual immunity or bacterial virulence levels.

[0087] The current wound inflammatory factors can reflect the inflammation level and healing status of the target wound.

[0088] Optionally, the current wound data includes one or more physiological parameters of the current wound temperature, current infiltration humidity, current wound pH value, current wound lactic acid, current wound uric acid, current wound glucose, and current wound inflammatory factors. The electronic device 2 is used to obtain the target part corresponding to the target wound; obtain the target wound infection determination model corresponding to the target part according to the correspondence between the part and the wound infection determination model; input the current wound data into the target wound infection determination model, the target wound infection determination model performs feature extraction on the current wound data, and outputs the current wound bacterial load and the current wound infection type based on the extracted features.

[0089] In an optional implementation of the present application, the electronic device 2 may receive the target part corresponding to the target wound surface input by the user, and then determine the target wound surface infection determination model corresponding to the wound surface according to the correspondence between the part and the wound surface infection determination model. Then, the electronic device 2 may search the storage space for the target wound surface infection determination model corresponding to the target wound surface, or receive the target wound surface infection determination model sent by other devices or the target wound surface infection determination model sent by other devices.

[0090] In an optional embodiment of the present application, the electronic device 2 is further used to obtain multiple sets of historical wound surface data; the historical wound surface data includes one or more physiological parameters of historical wound surface temperature, historical infiltration humidity, historical wound surface pH value, historical wound surface lactic acid, historical wound surface uric acid, historical wound surface glucose, and historical wound surface inflammatory factors;

[0091] Based on the gold standard of the historical wound bacterial load and historical wound infection type corresponding to each group of historical wound data, each group of historical wound data is labeled to generate the first wound data training set;

[0092] Performing data enhancement processing on each group of first wound surface training data in the first wound surface data training set to generate a second training data set;

[0093] Performing high-dimensional feature learning on the second training data in the second training data set to generate multiple groups of high-dimensional features;

[0094] Divide the generated multiple groups of high-dimensional features into a high-dimensional feature training set and a high-dimensional feature verification set;

[0095] The high-dimensional feature training set is input into the initial wound infection determination network, and a preset multiple nested cross-validation is performed, and each repeated nested cross-validation is performed on the high-dimensional feature training set; wherein, in the nested cross-validation, the outer loop cross-validation is used to resample the high-dimensional feature training set, and the inner loop cross-validation is used to perform hyperparameter tuning and feature selection on each high-dimensional feature training set of the outer loop cross-validation, wherein, in the inner loop cross-validation, the default parameters of the grid search function are used to try different hyperparameter combinations, and the best hyperparameters and stable features are selected;

[0096] A candidate wound infection determination model was created based on the best hyperparameters and stable features from the nested cross-validation training;

[0097] Using the high-dimensional feature validation set, the candidate wound infection determination model is validated based on the preset loss function to obtain the validation results;

[0098] According to the verification results, the optimal hyperparameters corresponding to the candidate wound infection determination model are adjusted to generate the target wound infection determination model.

[0099] Specifically, the electronic device 2 can obtain multiple groups of historical wound surface data of the target part corresponding to the target wound surface, wherein the historical wound surface data includes one or more physiological parameters of historical wound surface temperature, historical infiltration humidity, historical wound surface pH value, historical wound surface lactic acid, historical wound surface uric acid, historical wound surface glucose, and historical wound surface inflammatory factors.

[0100] Then, the electronic device 2 may label each group of historical wound data based on the historical wound bacterial load corresponding to each group of historical wound data and the gold standard of the historical wound infection type to generate a first wound data training set.

[0101] Optionally, the electronic device 2 may also clean the collected first wound surface data training set to remove outliers and noise, thereby ensuring the quality and accuracy of the first wound surface data training set.

[0102] The electronic device 2 can also use a preset data enhancement processing method such as interpolation and noise addition to perform data enhancement processing on each group of first wound surface training data in the first wound surface data training set to generate a second training data set.

[0103] The electronic device 2 can calculate statistical features, such as mean, variance, maximum, minimum, etc., based on the numerical features of the second training data in the second training data set. These statistical features can reflect the distribution and central tendency of the second training data in the second training data set. For the second training data of the time series, the frequency domain features can be extracted using the frequency domain analysis method, such as Fourier transform, wavelet transform, etc. The frequency domain features can reflect the periodicity and frequency distribution of the data. In addition, the second training data is usually time-series, and the dynamic changes of the second training data can be captured by extracting time series features. Common time series features include autocorrelation coefficients, differential coefficients, sliding window statistical features, etc. The electronic device 2 can also use signal processing methods to filter, reduce noise, smooth, and other pre-processing on the second training data to improve the quality and representativeness of the features. In the feature extraction process, it is possible to consider using feature selection methods to select the most representative feature subsets. Common feature selection methods include variance selection, correlation coefficient selection, recursive feature elimination, etc., so as to generate multiple sets of high-dimensional features.

[0104] The electronic device 2 can divide the generated multiple groups of high-dimensional features into a high-dimensional feature training set and a high-dimensional feature training set. Exemplarily, 70% is a high-dimensional feature training set and 30% is a high-dimensional feature training set.

[0105] Exemplarily, the electronic device 2 can input the high-dimensional feature training set into the initial wound infection determination network, and perform 5-fold nested cross-validation, and each repeated nested cross-validation is performed on the high-dimensional feature training set; wherein, in the nested cross-validation, the outer loop cross-validation is used to resample the high-dimensional feature training set, and the inner loop cross-validation is used to perform hyperparameter tuning and feature selection on each high-dimensional feature training set of the outer loop cross-validation, wherein, in the inner loop cross-validation, the default parameters of the grid search function are used to try different hyperparameter combinations, and the best hyperparameters and stable features are selected. This ensures that the selected stable features can maintain good performance under different models and hyperparameter settings.

[0106] Among them, the grid search function is a commonly used hyperparameter tuning method, which traverses all combinations of given hyperparameter candidate values, performs model training and evaluation, and finds the best hyperparameter combination. By applying the grid search function for hyperparameter tuning, the hyperparameters that best suit the data set and model can be found to improve the performance of the model.

[0107] Then, the electronic device 2 uses the high-dimensional feature verification set to verify the candidate wound infection determination model based on the preset loss function to obtain a verification result. According to the verification result, the optimal hyperparameters corresponding to the candidate wound infection determination model are adjusted to generate a target wound infection determination model.

[0108] Among them, the evaluation method adopts the receiver operating characteristic (ROC) curve, and the evaluation criteria are area under the curve (AUC), accuracy, precision and recall, etc. After multiple rounds of optimization, the prediction model with the best performance is selected.

[0109] Among them, the target wound infection determination model can be SVC (Support Vector Classification, support vector classification), random forest, XG-Boost and recurrent neural network based on integration idea, radial basis function (RBF) network, feedforward neural network (FFNN), convolutional neural network (CNN), deconvolutional neural network (DN), deep convolutional inverse graphics network (DCIGN), generative adversarial network (GAN), recurrent neural network (RNN), long / short termmemory (LSTM), deep residual network (DRN) and extreme learning machine (ELM). Any one of the embodiments of the present application does not specifically limit the target wound infection determination model.

[0110] In the wound monitoring system provided by the embodiment of the present application, the electronic device 2 is used to obtain the target part corresponding to the target wound; according to the correspondence between the part and the wound infection determination model, the target wound infection determination model corresponding to the target part is obtained, thereby ensuring the accuracy of the determined target wound infection determination model and the correspondence with the target wound. The electronic device 2 obtains multiple groups of historical wound data, and based on the historical wound bacterial load corresponding to each group of historical wound data and the gold standard of the historical wound infection type, each group of historical wound data is annotated to generate a first wound data training set, thereby ensuring the accuracy of the annotation of each group of historical wound data and the accuracy of the generated first wound data training set. Data enhancement processing is performed on each group of first wound training data in the first wound data training set to generate a second training data set, thereby ensuring the accuracy of the generated second training data set, and ensuring the comprehensiveness of the data of the generated second training data set and a large amount of data. High-dimensional feature learning is performed on the second training data in the second training data set to generate multiple groups of high-dimensional features; the accuracy of the generated multiple groups of high-dimensional features and the diversification of features are ensured. The generated multiple sets of high-dimensional features are divided into high-dimensional feature training sets and high-dimensional feature validation sets. The high-dimensional feature training set is input into the initial wound infection determination network, and a preset multiple nested cross-validation is performed. Each repeated nested cross-validation is performed on the high-dimensional feature training set; wherein, in the nested cross-validation, the outer loop cross-validation is used to resample the high-dimensional feature training set, and the inner loop cross-validation is used to perform hyperparameter tuning and feature selection on each high-dimensional feature training set of the outer loop cross-validation. wherein, in the inner loop cross-validation, the default parameters of the grid search function are used to try different hyperparameter combinations, and the best hyperparameters and stable features are selected, thereby ensuring the accuracy of the selected best hyperparameters. Based on the best hyperparameters and stable features in the nested cross-validation training, a candidate wound infection determination model is created, thereby ensuring the accuracy of the created candidate wound infection determination model. The candidate wound infection determination model is verified using the high-dimensional feature validation set based on the preset loss function to obtain the verification result, thereby ensuring the accuracy of the obtained verification result. According to the verification results, the optimal hyperparameters corresponding to the candidate wound infection determination model are adjusted to generate the target wound infection determination model, which ensures the accuracy of the generated target wound infection determination model. The current wound data is input into the target wound infection determination model, which extracts features from the current wound data and outputs the current wound bacterial load and the current wound infection type based on the extracted features, which ensures the accuracy of the output current wound bacterial load.

[0111] In the wound monitoring system provided in the embodiment of the present application, the electronic device 2 is used to compare the current wound bacterial load with the first wound bacterial load threshold and the second wound bacterial load threshold respectively; when the current wound bacterial load is greater than the first wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a first-level monitoring result, thereby ensuring the accuracy of the determined first-level monitoring result. When the current wound bacterial load is less than the first wound bacterial load threshold and greater than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a second-level monitoring result, thereby ensuring the accuracy of the determined second-level monitoring result. When the current wound bacterial load is less than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a third-level monitoring result, thereby ensuring the accuracy of the determined third-level monitoring result.

[0112] In an optional embodiment of the present application, the electronic device 2 is used to compare the current wound bacterial load with the first wound bacterial load threshold and the second wound bacterial load threshold respectively; wherein the first wound bacterial load threshold is greater than the second wound bacterial load threshold;

[0113] When the bacterial load of the current wound surface is greater than the first wound surface bacterial load threshold, the monitoring result corresponding to the target wound surface is determined to be a first-level monitoring result;

[0114] When the current wound bacterial load is less than the first wound bacterial load threshold and greater than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a secondary monitoring result;

[0115] When the current wound bacterial load is less than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a third-level monitoring result.

[0116] Among them, the degree of wound infection corresponding to the first-level monitoring results is greater than that of the second-level monitoring results, and the degree of wound infection corresponding to the second-level monitoring results is greater than that of the third-level monitoring results.

[0117] Specifically, the electronic device 2 may receive the first wound bacterial load threshold and the second wound bacterial load threshold input by the user, or may receive the first wound bacterial load threshold and the second wound bacterial load threshold sent by other devices. The electronic device 2 may also set the first wound bacterial load threshold and the second wound bacterial load threshold according to the target part corresponding to the target wound or other actual conditions. The embodiment of the present application does not specifically limit the manner in which the electronic device 2 obtains the first wound bacterial load threshold and the second wound bacterial load threshold.

[0118] Then, the electronic device 2 compares the current wound bacterial load with the first wound bacterial load threshold and the second wound bacterial load threshold. When the current wound bacterial load is greater than the first wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a first-level monitoring result; when the current wound bacterial load is less than the first wound bacterial load threshold and greater than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a second-level monitoring result; when the current wound bacterial load is less than the second wound bacterial load threshold, the monitoring result corresponding to the target wound is determined to be a third-level monitoring result.

[0119] In an optional embodiment, if Figure 3 As shown, the wound surface monitoring system further includes a camera device 4, which is communicatively connected with the electronic device 2, wherein:

[0120] The camera device 4 is used to capture images of the target wound surface, generate a current wound surface image, and transmit the current wound surface image to the electronic device 2;

[0121] Electronic device 2 is used to process the current wound surface image, determine the current wound surface area and the current wound surface depth corresponding to the target wound surface, and store the current wound surface area and the current wound surface depth in correspondence with the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface, so as to trace the recovery of the target wound surface;

[0122] The electronic device 2 is also used to send the current wound image, current wound area and current wound depth corresponding to the target wound to the server 3, so that the server 3 stores the current wound image, current wound area, current wound depth and the target wound in correspondence.

[0123] Optionally, the electronic device 2 is used to input the current wound image into a preset wound image recognition model, which performs feature extraction on the current wound image and outputs the current wound area and current wound depth corresponding to the target wound based on the extracted features.

[0124] Specifically, the camera device 4 can capture images of the target wound surface, generate a current wound surface image corresponding to the target wound surface, and transmit the current wound surface image to the electronic device 2.

[0125] The electronic device 2 can input the current wound image into a preset wound image recognition model, which extracts features from the current wound image and outputs the current wound area and current wound depth corresponding to the target wound based on the extracted features.

[0126] Among them, it should be noted that the electronic device 2 can mark the historical wound depth and historical wound area corresponding to the historical wound image, generate a historical wound image training set, train the initial wound image recognition network based on the historical wound image training set, and generate a preset wound image recognition model.

[0127] Among them, the training process of the preset wound image recognition model can refer to the training process of the above-mentioned target wound infection determination model. The embodiment of the present application does not specifically limit the training process of the preset wound image recognition model.

[0128] Optionally, the electronic device 2 may also receive a preset wound surface image recognition model input by a user, or a preset wound surface image recognition model sent by other devices. The manner in which the electronic device 2 obtains the preset wound surface image recognition model in the embodiment of the present application is not specifically limited.

[0129] Then, the electronic device 2 may store the current wound area and the current wound depth in correspondence with the current wound bacterial load and the current wound infection type corresponding to the target wound, so as to trace the recovery of the target wound.

[0130] The electronic device 2 can also send the current wound image, current wound area and current wound depth corresponding to the target wound to the server 3, so that the server 3 stores the current wound image, current wound area, current wound depth and the target wound in correspondence.

[0131] The wound monitoring system provided in the embodiment of the present application also includes a camera device 4, which is connected to the electronic device 2 in communication. The camera device 4 is used to capture images of the target wound surface, generate a current wound surface image, and transmit the current wound surface image to the electronic device 2. The electronic device 2 can receive the current wound surface image and process the current wound surface image. The electronic device 2 is used to input the current wound surface image into a preset wound surface image recognition model, and the preset wound surface image recognition model extracts features from the current wound surface image, and outputs the current wound surface area and current wound surface depth corresponding to the target wound surface according to the extracted features, thereby ensuring the accuracy of the current wound surface area and current wound surface depth corresponding to the output target wound surface. The current wound surface area and current wound surface depth are stored in correspondence with the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface, so as to facilitate the tracing of the recovery of the target wound surface. The electronic device 2 is also used to send the current wound image, current wound area and current wound depth corresponding to the target wound to the server 3, so that the server 3 can store the current wound image, current wound area, current wound depth and the target wound in correspondence, thereby allowing the server 3 to store all wound data corresponding to the target wound.

[0132] In an optional embodiment of the present application, the electronic device 2 is further used to receive the historical wound area, historical wound depth and historical wound bacterial load corresponding to the target wound sent by the server 3, compare the historical wound area with the current wound area, compare the historical wound depth with the current wound depth, and compare the historical wound bacterial load with the current wound bacterial load;

[0133] If the wound area difference between the historical wound area and the current wound area is greater than the preset area difference, and the wound depth difference between the historical wound depth and the current wound depth is greater than the preset depth difference, and the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is greater than the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be good recovery;

[0134] If the wound area difference between the historical wound area and the current wound area is less than or equal to the preset area difference, or the wound depth difference between the historical wound depth and the current wound depth is less than or equal to the preset depth difference, or the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is less than or equal to the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be poor recovery, and a prompt message for strengthening wound care is output.

[0135] Specifically, after obtaining the current wound area, current wound depth, and current wound compliance corresponding to the target wound, the electronic device 2 may send a data request to the server 3 to obtain the historical wound area, historical wound depth, and historical wound bacterial load corresponding to the target wound. After receiving the data request sent by the electronic device 2, the server 3 sends the historical wound area, historical wound depth, and historical wound bacterial load corresponding to the target wound to the electronic device 2.

[0136] Then, the electronic device 2 may compare the historical wound surface area with the current wound surface area, compare the historical wound surface depth with the current wound surface depth, and compare the historical wound surface bacterial load with the current wound surface bacterial load.

[0137] If the wound area difference between the historical wound area and the current wound area is greater than the preset area difference, and the wound depth difference between the historical wound depth and the current wound depth is greater than the preset depth difference, and the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is greater than the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be good recovery.

[0138] If the wound area difference between the historical wound area and the current wound area is less than or equal to the preset area difference, or the wound depth difference between the historical wound depth and the current wound depth is less than or equal to the preset depth difference, or the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is less than or equal to the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be poor recovery, and a prompt message for strengthening wound care is output.

[0139] In the wound monitoring system provided in the embodiment of the present application, the electronic device 2 is also used to receive the historical wound area, historical wound depth and historical wound bacterial load corresponding to the target wound sent by the server 3, compare the historical wound area with the current wound area, compare the historical wound depth with the current wound depth, and compare the historical wound bacterial load with the current wound bacterial load. If the wound area difference between the historical wound area and the current wound area is greater than the preset area difference, and the wound depth difference between the historical wound depth and the current wound depth is greater than the preset depth difference, and the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is greater than the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be well recovered, ensuring the accuracy of the determined recovery result corresponding to the target wound being well recovered. If the wound area difference between the historical wound area and the current wound area is less than or equal to the preset area difference, or the wound depth difference between the historical wound depth and the current wound depth is less than or equal to the preset depth difference, or the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is less than or equal to the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be poor recovery, and a prompt message for strengthening wound care is output. The accuracy of the recovery result corresponding to the determined target wound as poor recovery is ensured, and the user can be prompted to strengthen wound care by outputting the prompt message so that the target wound can recover.

[0140] In an optional implementation of the present application, the wound surface data collection device 1 and the electronic device 2 are detachable, and the electronic device 2 is communicatively connected with at least one wound surface data collection device 1, wherein:

[0141] Electronic device 2 is used to send current wound data, current wound bacterial load, current wound infection type, current wound image, current wound area, current wound depth and recovery result of the target wound to the terminal device corresponding to the target wound patient, and when the monitoring result is a first-level monitoring result, send the corresponding operation plan to the terminal device.

[0142] Specifically, the wound surface data collection device 1 and the electronic device 2 are detachable, and the electronic device 2 is communicatively connected with at least one wound surface data collection device 1. Exemplarily, the wound surface data collection device 1 can be applied to the target wound surface of the target wound patient, and the electronic device 2 can be at the medical staff end, and the electronic device 2 can receive the current wound surface data collected by multiple wound surface data collection devices 1.

[0143] After the electronic device 2 processes the current wound data and obtains the current wound bacterial load, current wound infection type, current wound image, current wound area, current wound depth and target wound recovery result corresponding to the target wound, the electronic device 2 can send the current wound data, current wound bacterial load, current wound infection type, current wound image, current wound area, current wound depth and target wound recovery result to the terminal device corresponding to the target wound patient. Thus, the target wound patient can receive all the wound data of the target wound. The electronic device 2 can also send the corresponding operation plan to the terminal device when the monitoring result is a first-level monitoring result. Thus, the running around of the target wound patient is reduced.

[0144] The wound monitoring system provided in the embodiment of the present application, the electronic device 2, is used to send the current wound data, the current wound bacterial load, the current wound infection type, the current wound image, the current wound area, the current wound depth and the recovery result of the target wound to the terminal device corresponding to the target wound patient, and when the monitoring result is a first-level monitoring result, send the corresponding operation plan to the terminal device, so that the target patient can complete the debridement according to the operation plan, without going to the hospital.

[0145] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A wound monitoring system, characterized in that: The wound surface monitoring system comprises: a wound surface data acquisition device, an electronic device and a server, wherein the wound surface data acquisition device is communicatively connected to the electronic device, and the electronic device is communicatively connected to the server, wherein: The wound surface data acquisition device is used to acquire current wound surface data of the target wound surface and transmit the current wound surface data to the electronic device; The electronic device is used to receive the current wound surface data, process the current wound surface data, determine the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface; determine the monitoring result corresponding to the target wound surface according to the current wound surface bacterial load, and send the current wound surface data, the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface to the server; The server is used to store the current wound data, the current wound bacterial load, the current wound infection type, the target wound, and the target wound patient corresponding to the target wound, so as to facilitate tracing back all wound data corresponding to the target wound, and to display the current wound data, the current wound bacterial load, and the current wound infection type to the target user; The server is also used to perform statistical analysis on the current wound infection type corresponding to each target wound patient, determine the wound infection characteristics corresponding to each target wound patient group, and generate corresponding wound care methods for the population based on the wound infection characteristics.

2. The wound monitoring system according to claim 1, characterized in that: The wound surface data collection device comprises: at least one of a temperature collection component, an infiltration humidity collection component, a pH value collection component, a lactic acid collection component, a uric acid collection component, a glucose collection component, and a cytokine and inflammation-related protein collection component; The temperature collection component is used to collect the current wound surface temperature of the target wound surface; The infiltration humidity collection component is used to collect the current infiltration humidity of the target wound surface; The pH value collection component is used to collect the current wound pH value of the target wound surface; The lactic acid collection component is used to collect the current wound lactic acid of the target wound surface; The uric acid collection component is used to collect the current wound uric acid of the target wound surface; The glucose collection component is used to collect current wound surface glucose of the target wound surface; The cytokine and inflammation-related protein collection component is used to collect the current wound inflammatory factors of the target wound.

3. The wound monitoring system according to claim 2, characterized in that: The cytokine and inflammation-related protein collection component includes at least one of a matrix metalloproteinase 9 sensor, a matrix metalloproteinase inhibitor 1 sensor, an interleukin 1β sensor, a tumor necrosis factor α sensor, and an interleukin 6 sensor.

4. The wound monitoring system according to claim 2, characterized in that: The current wound surface data includes one or more physiological parameters of the current wound surface temperature, the current infiltration humidity, the current wound surface pH value, the current wound surface lactic acid, the current wound surface uric acid, the current wound surface glucose, and the current wound surface inflammatory factors. The electronic device is used to obtain the target part corresponding to the target wound surface; obtain the target wound surface infection determination model corresponding to the target part according to the correspondence between the part and the wound surface infection determination model; input the current wound surface data into the target wound surface infection determination model, and the target wound surface infection determination model performs feature extraction on the current wound surface data, and outputs the current wound surface bacterial load and the current wound surface infection type based on the extracted features.

5. The wound monitoring system according to claim 4, characterized in that: The electronic device is further used to obtain multiple groups of historical wound surface data; the historical wound surface data includes one or more physiological parameters of historical wound surface temperature, historical infiltration humidity, historical wound surface pH value, historical wound surface lactic acid, historical wound surface uric acid, historical wound surface glucose, and historical wound surface inflammatory factors; Based on the gold standard of the historical wound bacterial load and the historical wound infection type corresponding to each group of the historical wound data, the historical wound data of each group are labeled to generate a first wound data training set; Performing data enhancement processing on each group of first wound surface training data in the first wound surface data training set to generate a second training data set; Performing high-dimensional feature learning on the second training data in the second training data set to generate multiple groups of high-dimensional features; Divide the generated multiple groups of high-dimensional features into a high-dimensional feature training set and a high-dimensional feature verification set; The high-dimensional feature training set is input into the initial wound infection determination network, and a preset multiple nested cross-validation is performed, and each repeated nested cross-validation is performed on the high-dimensional feature training set; wherein, in the nested cross-validation, the outer loop cross-validation is used to resample the high-dimensional feature training set, and the inner loop cross-validation is used to perform hyperparameter tuning and feature selection on each high-dimensional feature training set of the outer loop cross-validation, wherein, in the inner loop cross-validation, the default parameters of the grid search function are used to try different hyperparameter combinations, and the best hyperparameters and stable features are selected; Creating a candidate wound infection determination model according to the optimal hyperparameters and the stable features in the nested cross-validation training; Using the high-dimensional feature verification set, the candidate wound infection determination model is verified based on a preset loss function to obtain a verification result; According to the verification result, the optimal hyperparameters corresponding to the candidate wound infection determination model are adjusted to generate the target wound infection determination model.

6. The wound monitoring system according to claim 1, characterized in that: The electronic device is used to compare the current wound bacterial load with a first wound bacterial load threshold and a second wound bacterial load threshold, respectively; wherein the first wound bacterial load threshold is greater than the second wound bacterial load threshold; When the current wound bacterial load is greater than the first wound bacterial load threshold, determining that the monitoring result corresponding to the target wound is a primary monitoring result; When the current wound bacterial load is less than the first wound bacterial load threshold and greater than the second wound bacterial load threshold, determining that the monitoring result corresponding to the target wound is a secondary monitoring result; When the current wound bacterial load is less than the second wound bacterial load threshold, it is determined that the monitoring result corresponding to the target wound is a third-level monitoring result; the wound infection degree corresponding to the first-level monitoring result is greater than the second-level monitoring result, and the wound infection degree corresponding to the second-level monitoring result is greater than the third-level monitoring result.

7. The wound monitoring system according to claim 6, characterized in that: The wound surface monitoring system further includes a camera device, which is communicatively connected with the electronic device, wherein: The camera device is used to capture images of the target wound surface, generate a current wound surface image, and transmit the current wound surface image to the electronic device; The electronic device is used to process the current wound surface image, determine the current wound surface area and the current wound surface depth corresponding to the target wound surface, and store the current wound surface area and the current wound surface depth in correspondence with the current wound surface bacterial load and the current wound surface infection type corresponding to the target wound surface, so as to trace the recovery of the target wound surface; The electronic device is also used to send the current wound image, the current wound area and the current wound depth corresponding to the target wound to the server, so that the server stores the current wound image, the current wound area, the current wound depth and the target wound in correspondence.

8. The wound monitoring system according to claim 7, characterized in that: The electronic device is used to input the current wound image into a preset wound image recognition model, and the preset wound image recognition model extracts features from the current wound image, and outputs the current wound area and the current wound depth corresponding to the target wound according to the extracted features.

9. The wound monitoring system according to claim 7, characterized in that: The electronic device is further used to receive the historical wound area, historical wound depth and historical wound bacterial load corresponding to the target wound sent by the server, compare the historical wound area with the current wound area, compare the historical wound depth with the current wound depth, and compare the historical wound bacterial load with the current wound bacterial load; If the wound area difference between the historical wound area and the current wound area is greater than the preset area difference, and the wound depth difference between the historical wound depth and the current wound depth is greater than the preset depth difference, and the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is greater than the preset bacterial load difference, then it is determined that the recovery result corresponding to the target wound is well recovered; If the wound area difference between the historical wound area and the current wound area is less than or equal to the preset area difference, or the wound depth difference between the historical wound depth and the current wound depth is less than or equal to the preset depth difference, or the wound bacterial load difference between the historical wound bacterial load and the current wound bacterial load is less than or equal to the preset bacterial load difference, then the recovery result corresponding to the target wound is determined to be poor recovery, and a prompt message for strengthening wound care is output.

10. The wound monitoring system according to claim 9, characterized in that: The wound surface data collection device and the electronic device are detachable, and the electronic device is communicatively connected with at least one of the wound surface data collection devices, wherein: The electronic device is used to send the current wound data, the current wound bacterial load, the current wound infection type, the current wound image, the current wound area, the current wound depth and the recovery result of the target wound to the terminal device corresponding to the target wound patient, and when the monitoring result is a first-level monitoring result, send a corresponding operation plan to the terminal device.

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