CN111803036A - Method, system and computer equipment for dressing change after abdominal surgery - Google Patents

Abstract

The invention belongs to the technical field of wound dressing change, and discloses a wound dressing change method, system and computer equipment after abdominal surgery. The wound dressing change system after abdominal surgery comprises: a patient information collection module, a wound image collection module, a medicine application time Collection module, main control module, wound area estimation module, cleaning module, disinfection module, dressing module, wound bleeding monitoring module, drug efficacy evaluation module, display module. The invention can automatically measure the area of complex wounds accurately, stably and efficiently through the wound area estimation module; at the same time, through the wound bleeding monitoring module, real-time monitoring of the bleeding situation of the patient's wound can be carried out, which is convenient for early detection of blood loss of the patient and reduces the risk of the patient's Reduce the risk of blood loss; reduce the workload of medical staff to monitor patient wounds, and improve the utilization rate of medical staff.

Description

Method, system and computer equipment for dressing change after abdominal surgery

technical field

The invention belongs to the technical field of wound dressing change, and in particular relates to a wound dressing change method, system and computer equipment after abdominal surgery.

Background technique

Dressing is the medicine that has been applied externally. After the prescribed time of use, the old medicine is removed and the new medicine is applied to ensure the effectiveness of the medicine. Usually the old medicine and the new medicine are the same medicine. Or use one or more drugs, and replace them with one or more other drugs due to medical needs (such as having achieved curative effects, or finding a better treatment plan). In medicine, wounds are usually divided into three categories, namely clean wounds, contaminated wounds and infected wounds. Clean wounds and promptly treated contaminated wounds generally heal quickly. Infected wounds refer to wounds that have proliferated and caused acute tissue inflammation, necrosis, and purulence, including boils, carbuncles and other purulent infections after incision and drainage, and surgical incisions that are infected after cleaning and suturing of contaminated wounds. The dressing change at home is mainly for such wounds. Common ones include bed sore infection caused by paralysis after stroke, secondary infection of perineal incision during childbirth, acute mastitis in lactating women, fistulas caused by various people after biliary and urinary tract operations, chronic lower extremity ulcers, etc. The wound dressing method after abdominal surgery cannot accurately estimate the wound area after abdominal surgery; at the same time, the wound bleeding cannot be monitored in time.

To sum up, the existing problems in the prior art are: the existing wound dressing method after abdominal surgery cannot accurately estimate the wound area after abdominal surgery; at the same time, the wound bleeding cannot be monitored in time.

SUMMARY OF THE INVENTION

Aiming at the problems existing in the prior art, the present invention provides a dressing change method, system and computer equipment for wounds after abdominal surgery.

The present invention is achieved in this way, a method for dressing change of wounds after abdominal surgery, comprising:

Step 1: Collect name, gender, work, address, and abdominal symptom information; use medical imaging equipment to collect wound images after abdominal surgery through the wound image collection module; collect the duration of wound dressing after abdominal surgery through the medicine application time collection module;

In step 2, a feature identification matrix is constructed for the image information collected in step 1, and a new matrix is constructed by using the characteristics of the wound image after abdominal surgery and the characteristics of the area where the wound image after abdominal surgery is currently located, and the rectangular tracking method is used to discriminate after abdominal surgery. Whether the wound image is generated or disappeared; and analyzes the characteristics of the wound image after abdominal surgery, predicts the state space of the wound image after abdominal surgery, and judges the infection state of the wound image after abdominal surgery;

Step 3: Define the pixel value of the wound image after abdominal surgery as 255 and the background pixel value as 0, perform image search, calculate the difference between the gray values of the upper left and upper right pixels of the rectangle, and the difference between the gray values of the pixels in the front and the rear, Calculate the difference between the pixel gray values of the lower left and the lower right, and sum the absolute values of their differences;

Step 4, when the obtained sum is greater than the set threshold, it is considered that this point is on the boundary of the wound image object after abdominal surgery;

Step 5: Calculate the pixel gray value difference between the upper left and lower left, the pixel gray value difference between the upper left and the lower right, and the pixel gray value difference between the upper right and lower right for the point shown in Figure 6 in step 4, and sum the absolute values of their differences;

Step 6, when the obtained sum is greater than the set threshold, it is considered that this point is a feature point of the wound image after abdominal surgery; otherwise, it is not a feature point of the wound image after abdominal surgery.

Among them, M, N are the length and width of the image sub-block rectangle, K, L are the length and width of the search range rectangle. According to the construction process and the actual matching situation, find the sub-block with the highest similarity with the current block of the current frame as the matching block, From the relative position of the matching block and the current block obtained from the previous frame or the next frame, the infection status displacement of the wound image after abdominal surgery in these two frames is obtained, which is regarded as the infection status vector D of the current block;

For the current block of the current frame, let the maximum vector of possible infection state displacement be D(dx,dy), then the corresponding size of the search window of the block of the next frame is represented by (M+2dx)*(N+2dy), and the judgment When the new post-abdominal surgery wound image, the fusion of post-abdominal surgery wound images, and the disappearance of post-abdominal surgery wound images, the relationship between the current matching block and the search window is shown in Figure 7.

子图像面积为原图像面积的

在子图像内进行匹配；采用改进搜索方法，在子图像上遍历搜索，搜索过程中保留几个相似度较高的匹配点；搜索结束后，将相似度较高的匹配点映射到腹部外科手术后伤口待匹配图像的搜索子区域中；Step 7: Perform n times of wavelet transform on the image obtained in step 6 and retain the sub-image of the low-frequency part after wavelet transformation, then the width and height of the sub-image are the same as the original image.

The sub-image area is the area of the original image

Match within the sub-images; use the improved search method to traverse the sub-images to search, and retain several matching points with high similarity during the search process; after the search, map the matching points with high similarity to abdominal surgery In the search sub-region of the post-wound image to be matched;

Step 8: Use the genetic method in each search sub-region to initialize each population, select the appropriate mutation factor and crossover factor, and complete an iterative process through mutation operation, crossover operation and selection operation; in the iterative process, Gradually discard the search sub-regions with poor similarity; at the end of the iteration, only one sub-region is retained, the best matching point is found, and the matching process is completed;

Step 9, use an estimation program to estimate the wound area after abdominal surgery on the image information obtained in Step 8; obtain an original abdominal surgery wound image with a scale bar; perform grayscale transformation on each pixel value of the original abdominal surgery wound image to obtain the original abdominal surgery wound each post-abdominal surgical wound image pixel value of the image; and enhancing each post-abdominal surgical wound image pixel value of the original post-abdominal surgical wound image using the pre-trained first image generator to obtain an enhanced abdominal surgical wound image ;

Step 10: Perform image recognition on the enhanced abdominal surgical wound image containing a scale, and identify a two-dimensional scale image from the photographed image of the abdominal surgical wound containing a scale; use the identified two-dimensional scale image to determine the image and the scale. The ratio of the actual size; performing clustering processing on the photographed images of the abdominal surgical wound according to color, and clustering the photographed images of the abdominal surgical wound into multiple types of abdominal surgical wound images corresponding to different types of tissue components respectively;

Step eleven, using the ratio of the image to the actual size and the multiple types of abdominal surgical wound images corresponding to different types of tissue components, respectively estimate the abdominal surgical wound area of different tissue components.

Further, the method for judging the infection state of the wound image after abdominal surgery in step 6 is:

The post-abdominal surgery wound images are divided into the new post-abdominal surgery wound images, the fusion of post-abdominal surgery wound images, and the disappearance of post-abdominal surgery wound images. When the post-abdominal surgery wound images appear, the new abdomen is constructed immediately. Information of wound images after surgery; when the wound images after abdominal surgery are split, analyze the reasons for the splits and track the splits; when different images of wounds after abdominal surgery appear to be fused with each other, analyze the fused wound images after abdominal surgery. Image fusion processing; when the tracked wound image disappears after abdominal surgery, first determine whether it really disappears, and if it does disappear, then delete the original data information.

Further, the method for implementing corresponding multi-view monitoring and tracking for different states is:

First, analyze the shadow illumination and color features of the wound image after abdominal surgery in an infected state, that is, on the basis of the aforementioned method, define the pixel value of the wound image after abdominal surgery to be 255, and the background pixel value to be 0, and perform image search. Calculate the difference between the gray values of the upper left and upper right pixels of the rectangle, the difference between the gray values of the pixels in the front and the rear, and the difference between the gray values of the pixels in the lower left and the lower right, and sum the absolute values of their differences, and then add the Considering the shadow illumination and color characteristics of the wound image after abdominal surgery, fine-tune the threshold to make the threshold fluctuate by 10% on the original basis, and improve the original detection method through the actual experimental effect;

Secondly, based on the detection and identification of different wound images after abdominal surgery, their infection status is also different, and the constructed feature identification matrix is also different. At this time, on the basis of different feature identification matrices, Assuming that any feature identification matrix is the current state, the relative infection status of other identification matrices is performed, that is, the addition and subtraction of matrices are used to achieve tracking between multiple wound images after abdominal surgery;

Third, build a model that conforms to the color of the wound image after abdominal surgery, which is represented by the color of the y, C _b , and C _r components here, and the relationship with the common three primary colors of R, G, and B is as follows:

Where y, C _b , C _r represent lumen, blue density offset, red density offset, R, G, B represent red, green, and blue color densities, respectively. The characteristics of color are used to overcome the occlusion of wound images after abdominal surgery. Finally, the application requirements of multi-view monitoring system are analyzed to realize the information transmission of different views, and the space conversion of the matrix is used to realize it.

Further, the formula of the improved search method is as follows:

S(x,y) represents the gray value of the pixel at the coordinate position (x,y) in the wound image to be matched after abdominal surgery, and T(u,v) represents the coordinate position in the template image is (u,v) The gray value of the pixel at the location, and the size of the template image is m×n.

Further, the step 10 performs image recognition on the enhanced abdominal surgical wound image containing a scale, and the step of identifying a two-dimensional scale image from the photographed image of the abdominal surgical wound containing a scale includes:

(2.1) Binarization is performed on the captured image to obtain a white connected domain, and the number of pixels in each white connected domain is calculated;

(2.2) For each white connected domain, construct a simulated scale area with the same number of pixels and the same shape as the two-dimensional scale graph, and calculate the similarity coefficient between the simulated scale area and the white connected domain; The obtained similarity coefficients are sorted, and the white connected domain corresponding to the largest similarity coefficient is identified as a two-dimensional scale image;

The step of determining the ratio of the image to the actual size using the identified two-dimensional scale image includes:

calculating the number of pixels of the two-dimensional scale image;

Determine the ratio of the image to the actual size according to the number of pixels of the two-dimensional scale image and the actual area of the two-dimensional scale graphic;

The steps of performing clustering processing on the photographed abdominal surgical wound images according to color, and obtaining multiple types of abdominal surgical wound images corresponding to different types of tissue components include:

Extract the a-space information and b-space information of the Lab color space from the photographed image of the abdominal surgical wound;

According to the a-space information and b-space information of the photographed image of the abdominal surgical wound, clustering the photographed image of the abdominal surgical wound into abdominal surgical wound images corresponding to different types of tissue components respectively;

The step 11 uses the ratio of the image to the actual size and the multiple types of abdominal surgical wound images corresponding to different types of tissue components, and the steps of estimating the abdominal surgical wound area of different tissue components respectively include:

Calculate the number of pixels of each type of abdominal surgical wound image;

Using the ratio of the image to the actual size and the number of pixels of the abdominal surgical wound image for each type, the abdominal surgical wound area for each type of tissue component is calculated.

Further, the wound dressing method after abdominal surgery further comprises:

Use the cleaning module to clean the wound after abdominal surgery; use the disinfection module to sterilize the wound after abdominal surgery; use the dressing mechanism to apply the medicine on the wound after abdominal surgery through the dressing module and carry out bandage;

Monitor the bleeding status of abdominal wounds through the wound bleeding monitoring module; use the evaluation program to evaluate the efficacy of abdominal wound dressings through the drug efficacy evaluation module;

The collected patient information, wound images, dressing duration, wound area, bleeding monitoring results, and evaluation results are displayed on the display module through the display.

Further, the monitoring method of the wound bleeding monitoring module is as follows:

1) Configure the bluetooth and pressure sensor working parameters of the smart gauze; obtain the first pressure value at the position around the abdominal surgical wound of the patient from the first pressure sensor in the smart gauze through the Bluetooth port of the smart gauze, and obtain the first pressure value from the smart gauze from the first pressure sensor in the smart gauze. The second pressure sensor obtains the second pressure value at the bleeding position of the patient's abdominal surgical wound, and determines whether the pressure difference between the first pressure value and the second pressure value changes to monitor whether the abdominal surgical wound bleeds;

2) Obtaining the color value of the smart gauze from the color sensor in the smart gauze through the bluetooth port when the abdominal surgical wound bleeds, and judging whether the smart gauze is full according to the color value of the smart gauze Blood;

3) When the smart gauze is soaked with blood, the patient's pulse value is obtained from the pulse sensor in the smart monitoring terminal, and the patient's blood pressure value is obtained from the blood pressure sensor in the smart monitoring terminal, and the patient's blood pressure is determined. Whether the pulse value and blood pressure value are normal;

4) Generate a first alarm message indicating mild blood loss in the patient through the alarm program according to when the patient's pulse value and blood pressure value are normal, when the patient's pulse value is between the first pulse range and the patient's systolic blood pressure is between When the first systolic blood pressure range is in the first range, a second alarm message is generated indicating that the patient has moderate blood loss. When the patient's pulse value is greater than the second pulse range and the patient's systolic blood pressure is less than the second systolic blood pressure range, a third alarm message indicating the patient's severe blood loss is generated. Alarm information, or when the patient's pulse value is zero and the patient's systolic blood pressure is within the third systolic blood pressure range, a fourth alarm message is generated indicating that the patient is in critical blood loss;

The alarm program is also used for when the pressure difference does not change, the smart gauze is not soaked with blood, and the patient's pulse value and blood pressure value are abnormal, the abdominal surgical wound bleeding alarm module is also used for A fifth alarm message is generated indicating that the patient has internal bleeding.

Another object of the present invention is to provide a wound dressing system after abdominal surgery, which comprises:

The patient information collection module, which is connected to the main control module, is used to collect the patient's name, gender, work, address, and abdominal symptom information;

The wound image acquisition module is connected with the main control module, and is used to collect the wound image of the patient after abdominal surgery through medical imaging equipment;

The medicine application time collection module is connected with the main control module, and is used to collect the wound medicine application time after abdominal surgery;

The main control module is connected with the patient information collection module, the wound image collection module, the drug application time collection module, the wound area estimation module, the cleaning module, the disinfection module, the medicine application module, the wound bleeding monitoring module, the drug effect evaluation module, and the display module, It is used to control the normal operation of each module through the host;

The wound area estimation module, connected with the main control module, is used to estimate the wound area after abdominal surgery through the estimation program;

The cleaning module, connected with the main control module, is used for cleaning the wound after abdominal surgery through the cleaning equipment;

The disinfection module, connected with the main control module, is used to disinfect the wound after abdominal surgery through the disinfection equipment;

The medicine application module is connected with the main control module, and is used for applying medicine on the wound after abdominal surgery and bandaging through the medicine application mechanism;

The wound bleeding monitoring module, connected with the main control module, is used to monitor the bleeding status of abdominal wounds;

The drug efficacy evaluation module, which is connected with the main control module, is used to evaluate the drug efficacy of abdominal wound dressing through the evaluation program;

The display module, connected with the main control module, is used to display the collected patient information, wound images, duration of dressing, wound area, bleeding monitoring results, and evaluation results through the display.

Another object of the present invention is to provide a computer device, the computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the following steps :

The patient's name, gender, work, address, and abdominal symptom information are collected through the patient information collection module; the patient's wound images after abdominal surgery are collected through the wound image collection module using medical imaging equipment; the wound dressing after abdominal surgery is collected through the drug application time collection module. drug duration;

The main control module uses the estimation program to estimate the wound area after abdominal surgery through the wound area estimation module;

Use the cleaning module to clean the wound after abdominal surgery; use the disinfection module to sterilize the wound after abdominal surgery; use the dressing mechanism to apply the medicine on the wound after abdominal surgery through the dressing module and carry out bandage;

Monitor the bleeding status of abdominal wounds through the wound bleeding monitoring module; use the evaluation program to evaluate the efficacy of abdominal wound dressings through the drug efficacy evaluation module;

The collected patient information, wound images, dressing duration, wound area, bleeding monitoring results, and evaluation results are displayed on the display module through the display.

Another object of the present invention is to provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, causes the processor to perform the following steps:

The patient's name, gender, work, address, and abdominal symptom information are collected through the patient information collection module; the patient's wound images after abdominal surgery are collected through the wound image collection module using medical imaging equipment; the wound dressing after abdominal surgery is collected through the drug application time collection module. drug duration;

The main control module uses the estimation program to estimate the wound area after abdominal surgery through the wound area estimation module;

Use the cleaning module to clean the wound after abdominal surgery; use the disinfection module to sterilize the wound after abdominal surgery; use the dressing mechanism to apply the medicine on the wound after abdominal surgery through the dressing module and carry out bandage;

Monitor the bleeding status of abdominal wounds through the wound bleeding monitoring module; use the evaluation program to evaluate the efficacy of abdominal wound dressings through the drug efficacy evaluation module;

The collected patient information, wound images, dressing duration, wound area, bleeding monitoring results, and evaluation results are displayed on the display module through the display.

The advantages and positive effects of the present invention are as follows: the present invention can automatically measure the wound area accurately, stably and efficiently according to the ratio of the image to the actual size through the wound area estimation module; cluster wounds with different types of tissue components according to color It can automatically measure the area of complex wounds accurately, stably and efficiently, especially the wound area of different tissue components; at the same time, the wound bleeding monitoring module can monitor the bleeding situation of the patient's wound in real time, which is convenient for early Detecting blood loss in patients reduces the risk of risk of patients due to blood loss; reduces the workload of medical staff to monitor patient wounds, and improves the utilization rate of medical staff.

The invention constructs a feature identification matrix for the collected image information, constructs a new matrix by using the characteristics of the wound image after abdominal surgery and the characteristics of the current region where the wound image after abdominal surgery is located, and uses the rectangle tracking method to determine whether the wound image after abdominal surgery is It generates and disappears; and analyzes the characteristics of the wound image after abdominal surgery, predicts the state space of the wound image after abdominal surgery, and judges the infection state of the wound image after abdominal surgery; it is practical.

Figure 8 is the metric surface graph of the improved search method. It can be seen from Figure 8 that there are multiple peak positions in the whole image. If the genetic method is used in the whole image, it is easy to fall into the local optimum point, resulting in premature convergence, and it is impossible to obtain get the correct match. In contrast, the present invention retains four populations, adopts genetic methods in various populations, and the range of various populations is small, and it is easy to converge within each small range to find the best matching point. Therefore, the present invention has advantages.

Description of drawings

FIG. 1 is a flow chart of a method for dressing change in a wound after abdominal surgery provided by an embodiment of the present invention.

FIG. 2 is a structural block diagram of a dressing change system for a wound after abdominal surgery provided by an embodiment of the present invention.

FIG. 3 is a flowchart of an estimation method for a wound area estimation module provided by an embodiment of the present invention.

4 is a flowchart of a method for performing image recognition on an enhanced abdominal surgical wound image containing a scale, and recognizing a two-dimensional scale image from the photographed image of an abdominal surgical wound containing a scale provided by an embodiment of the present invention.

FIG. 5 is a flowchart of a monitoring method for a wound bleeding monitoring module provided by an embodiment of the present invention.

In Figure 2: 1. Patient information collection module; 2. Wound image collection module; 3. Drug application time collection module; 4. Main control module; 5. Wound area estimation module; 6. Cleaning module; 7. Disinfection module; 8 , dressing module; 9, wound bleeding monitoring module; 10, drug efficacy evaluation module; 11, display module.

Fig. 6 is the pixel gray value difference between the upper left and the lower left, the pixel gray value difference between the upper left and the lower right, the pixel gray value difference between the upper right and the lower right, and the pixel gray value difference between the upper left and lower left, and the pixel gray value difference between the upper right and the lower right provided by the embodiment of the present invention. Absolute summation plot of differences.

FIG. 7 is a relationship diagram between a current matching block and a search window provided by an embodiment of the present invention.

FIG. 8 is a metric surface graph of the improved search method provided by an embodiment of the present invention.

Detailed ways

In order to further understand the content, characteristics and effects of the present invention, the following embodiments are exemplified and described in detail below with the accompanying drawings.

The structure of the present invention will be described in detail below with reference to the accompanying drawings.

As shown in Figure 1, the method for changing dressings after abdominal surgery provided by the present invention comprises the following steps:

S101, the patient's name, gender, work, address, and abdominal symptom information are collected through the patient information collection module; the patient's wound image after abdominal surgery is collected through the wound image collection module using medical imaging equipment; the post-abdominal surgery wound image is collected through the drug application time collection module The duration of the wound dressing;

S102, the main control module uses an estimation program to estimate the wound area after abdominal surgery through the wound area estimation module;

S103, using the cleaning module to clean the wound after abdominal surgery with the cleaning equipment; using the disinfection module to sterilize the wound after the abdominal surgery; using the dressing mechanism to apply the medicine on the wound after the abdominal surgery through the dressing module and bandaging;

S104, monitoring the bleeding state of the abdominal wound through the wound bleeding monitoring module; using the evaluation program to evaluate the efficacy of the abdominal wound dressing through the drug efficacy evaluation module;

S105 , using the display module to display the collected patient information, wound images, duration of drug application, wound area, bleeding monitoring results, and evaluation results through the display module.

As shown in FIG. 2 , the dressing change system for abdominal surgery wounds provided by the embodiment of the present invention includes: a patient information collection module 1, a wound image collection module 2, a medicine application time collection module 3, a main control module 4, and a wound area estimation module 5. Cleaning module 6 , disinfection module 7 , dressing module 8 , wound bleeding monitoring module 9 , drug efficacy evaluation module 10 , and display module 11 .

The patient information collection module 1, connected with the main control module 4, is used to collect the patient's name, gender, work, address, and abdominal symptom information;

The wound image acquisition module 2 is connected with the main control module 4, and is used for collecting the wound image of the patient after abdominal surgery through medical imaging equipment;

The medicine application time collection module 3 is connected with the main control module 4 and is used to collect the wound medicine application time after abdominal surgery;

The main control module 4, together with the patient information collection module 1, the wound image collection module 2, the medicine application time collection module 3, the wound area estimation module 5, the cleaning module 6, the disinfection module 7, the medicine application module 8, the wound bleeding monitoring module 9, The drug efficacy evaluation module 10 and the display module 11 are connected to control the normal operation of each module through the host;

The wound area estimation module 5, connected with the main control module 4, is used for estimating the wound area after abdominal surgery through the estimation procedure;

The cleaning module 6, connected with the main control module 4, is used for cleaning the wound after abdominal surgery through the cleaning equipment;

The disinfection module 7 is connected with the main control module 4, and is used to disinfect the wound after abdominal surgery through the disinfection equipment;

The medicine application module 8 is connected with the main control module 4, and is used for applying medicine on the wound after abdominal surgery through the medicine application mechanism and performing bandaging;

The wound bleeding monitoring module 9 is connected with the main control module 4 and is used to monitor the bleeding state of the abdominal wound;

The drug efficacy evaluation module 10 is connected with the main control module 4, and is used for evaluating the drug efficacy of the abdominal wound dressing through the evaluation program;

The display module 11, connected to the main control module 4, is used to display the collected patient information, wound images, duration of drug application, wound area, bleeding monitoring results, and evaluation results through the display.

The present invention will be further described below in conjunction with specific embodiments.

Example 1

The wound dressing method for abdominal surgery provided by the present invention includes the embodiment of accompanying drawing 1, and the difference is:

As shown in Figure 3, the wound area estimation module 5 estimation method provided by the present invention is as follows:

S201, obtaining an original abdominal surgical wound image containing a scale; performing grayscale transformation on each pixel value of the original abdominal surgical wound image to obtain each post-abdominal surgical wound image pixel value of the original abdominal surgical wound image; and using the pre-trained An image generator enhances each post-abdominal surgical wound image pixel value of the original abdominal surgical wound image to obtain an enhanced abdominal surgical wound image;

S202, perform image recognition on the enhanced abdominal surgical wound image containing a scale, and identify a two-dimensional scale image from the photographed image of the abdominal surgical wound containing a scale; use the identified two-dimensional scale image to determine the image and the actual scale The scale of the size; performing clustering processing on the photographed images of the abdominal surgical wound according to color, and clustering the photographed images of the abdominal surgical wound into multiple types of abdominal surgical wound images corresponding to different types of tissue components;

S203, using the ratio of the image to the actual size and the multiple types of abdominal surgical wound images corresponding to different types of tissue components, respectively estimate the abdominal surgical wound area of different tissue components.

Example 2

The wound dressing method for abdominal surgery provided by the present invention includes the embodiment of accompanying drawing 1, and the difference is:

As shown in FIG. 4 , the present invention provides image recognition for an enhanced abdominal surgical wound image containing a scale bar, and the step of identifying a two-dimensional scale image from the photographed image of the abdominal surgical wound containing a scale bar includes:

S301, performing binarization processing on the captured image to obtain a white connected domain, and calculating the number of pixels in each white connected domain;

S302, for each white connected domain, construct a simulated scale area with the same number of pixels and the same shape as the two-dimensional scale graph, and calculate the similarity coefficient between the simulated scale area and the white connected domain; The similarity coefficients are sorted, and the white connected domain corresponding to the largest similarity coefficient is identified as a two-dimensional scale image.

Using the identified two-dimensional scale image provided by the present invention, the steps of determining the ratio of the image to the actual size include:

calculating the number of pixels of the two-dimensional scale image;

The ratio of the image to the actual size is determined according to the number of pixels of the two-dimensional scale image and the actual area of the two-dimensional scale image.

The steps provided by the present invention to perform clustering processing on the captured abdominal surgical wound images according to color, and obtain multiple types of abdominal surgical wound images corresponding to different types of tissue components include:

Extract the a-space information and b-space information of the Lab color space from the photographed image of the abdominal surgical wound;

According to the a-space information and b-space information of the captured images of the abdominal surgical wound, the captured images of the abdominal surgical wound are clustered into abdominal surgical wound images corresponding to different types of tissue components respectively.

The steps of estimating the abdominal surgical wound area of different tissue components by using the ratio of the image to the actual size and the multiple types of abdominal surgical wound images corresponding to different types of tissue components provided by the present invention include:

Calculate the number of pixels of each type of abdominal surgical wound image;

Using the ratio of the image to the actual size and the number of pixels of the abdominal surgical wound image for each type, the abdominal surgical wound area for each type of tissue component is calculated.

Example 3

The wound dressing method for abdominal surgery provided by the present invention includes the embodiment of accompanying drawing 1, and the difference is:

As shown in Figure 5, the monitoring method of the wound bleeding monitoring module 9 provided by the present invention is as follows:

S401, configure the Bluetooth and pressure sensor working parameters of the smart gauze; obtain the first pressure value at the position around the abdominal surgical wound of the patient from the first pressure sensor in the smart gauze through the Bluetooth port of the smart gauze, and obtain the first pressure value from the smart gauze The second pressure sensor obtains the second pressure value at the bleeding position of the patient's abdominal surgical wound, and determines whether the pressure difference between the first pressure value and the second pressure value changes to monitor whether the abdominal surgical wound bleeds;

S402, when the abdominal surgical wound bleeds, obtain the color value of the smart gauze from the color sensor in the smart gauze through the Bluetooth port, and determine whether the smart gauze is full according to the color value of the smart gauze Blood;

S403, when the smart gauze is soaked with blood, obtain the patient's pulse value from the pulse sensor in the smart monitoring terminal, obtain the patient's blood pressure value from the blood pressure sensor in the smart monitoring terminal, and determine the patient's blood pressure Whether the pulse value and blood pressure value are normal;

S404, according to when the pulse value and blood pressure value of the patient are normal, a first alarm message is generated to remind the patient of mild blood loss, when the pulse value of the patient is within the first pulse range and the systolic blood pressure of the patient is within the range of S404. When the first systolic blood pressure range is in the first range, a second alarm message is generated indicating that the patient has moderate blood loss. When the patient's pulse value is greater than the second pulse range and the patient's systolic blood pressure is less than the second systolic blood pressure range, a third alarm message indicating the patient's severe blood loss is generated. alarm information, or when the patient's pulse value is zero and the patient's systolic blood pressure is within the third systolic blood pressure range, a fourth alarm message indicating that the patient is in danger of blood loss is generated.

The alarm program provided by the present invention is also used for the abdominal surgical wound bleeding alarm module when the pressure difference does not change, the smart gauze is not soaked with blood, and the patient's pulse value and blood pressure value are abnormal. Used to generate a fifth alarm message that alerts the patient to internal bleeding.

Example 4

The wound dressing method for abdominal surgery provided by the present invention includes the embodiment of accompanying drawing 1, and the difference is:

A feature identification matrix is constructed for the collected image information, and a new matrix is constructed by using the characteristics of the wound image after abdominal surgery and the characteristics of the current region of the wound image after abdominal surgery. Whether it disappears; and analyze the characteristics of the wound image after abdominal surgery, predict the state space of the wound image after abdominal surgery, and judge the infection state of the wound image after abdominal surgery;

Define the pixel value of the wound image after abdominal surgery as 255 and the background pixel value as 0, perform image search, and calculate the difference between the gray values of the upper left and upper right pixels of the rectangle, the difference between the gray values of the pixels in the front and the rear, the difference between the lower left and the right and sum the absolute value of their differences;

When the obtained sum is greater than the set threshold, it is considered that this point is on the boundary of the wound image object after abdominal surgery;

For the point as shown in Figure 6, calculate the difference of the pixel gray value between the upper left and the lower left, the pixel gray value difference between the upper and lower pixels, and the pixel gray value difference between the upper right and the lower right, and calculate the difference between them. Absolute value summation;

Step 6, when the obtained sum is greater than the set threshold, it is considered that this point is a feature point of the wound image after abdominal surgery; otherwise, it is not a feature point of the wound image after abdominal surgery.

Among them, M, N are the length and width of the image sub-block rectangle, K, L are the length and width of the search range rectangle. According to the construction process and the actual matching situation, find the sub-block with the highest similarity with the current block of the current frame as the matching block, From the relative position of the matching block and the current block obtained from the previous frame or the next frame, the infection status displacement of the wound image after abdominal surgery in these two frames is obtained, which is regarded as the infection status vector D of the current block;

For the current block of the current frame, let the maximum vector of possible infection state displacement be D(dx,dy), then the corresponding size of the search window of the block of the next frame is represented by (M+2dx)*(N+2dy), and the judgment When the new post-abdominal surgery wound image, the fusion of post-abdominal surgery wound images, and the disappearance of post-abdominal surgery wound images, the relationship between the current matching block and the search window is shown in Figure 7.

子图像面积为原图像面积的

在子图像内进行匹配；采用改进搜索方法，在子图像上遍历搜索，搜索过程中保留几个相似度较高的匹配点；搜索结束后，将相似度较高的匹配点映射到腹部外科手术后伤口待匹配图像的搜索子区域中；Perform n wavelet transform on the obtained image and retain the sub-image of the low-frequency part after wavelet transform, then the width and height of the sub-image are the same as the original image.

The sub-image area is the area of the original image

Match within the sub-images; use the improved search method to traverse the sub-images to search, and retain several matching points with high similarity during the search process; after the search, map the matching points with high similarity to abdominal surgery In the search sub-region of the post-wound image to be matched;

The genetic method is used in each search sub-region to initialize each population, select the appropriate mutation factor and crossover factor, and complete an iterative process through mutation operation, crossover operation and selection operation; in the iterative process, the similarities are gradually discarded. Search sub-regions with poor performance; at the end of the iteration, only one sub-region is retained, the best matching point is found, and the matching process is completed.

The method for judging the infection status of wound images after abdominal surgery is as follows:

The post-abdominal surgery wound images are divided into the new post-abdominal surgery wound images, the fusion of post-abdominal surgery wound images, and the disappearance of post-abdominal surgery wound images. When the post-abdominal surgery wound images appear, the new abdomen is constructed immediately. Information of wound images after surgery; when the wound images after abdominal surgery are split, analyze the reasons for the splits and track the splits; when different images of wounds after abdominal surgery appear to be fused with each other, analyze the fused wound images after abdominal surgery. Image fusion processing; when the tracked wound image disappears after abdominal surgery, first determine whether it really disappears, and if it does disappear, then delete the original data information.

The method for implementing corresponding multi-view monitoring and tracking for different states is as follows:

First, analyze the shadow illumination and color features of the wound image after abdominal surgery in an infected state, that is, on the basis of the aforementioned method, define the pixel value of the wound image after abdominal surgery to be 255, and the background pixel value to be 0, and perform image search. Calculate the difference between the gray values of the upper left and upper right pixels of the rectangle, the difference between the gray values of the pixels in the front and the rear, and the difference between the gray values of the pixels in the lower left and the lower right, and sum the absolute values of their differences, and then add the Considering the shadow illumination and color characteristics of the wound image after abdominal surgery, fine-tune the threshold to make the threshold fluctuate by 10% on the original basis, and improve the original detection method through the actual experimental effect;

Secondly, based on the detection and identification of different wound images after abdominal surgery, their infection status is also different, and the constructed feature identification matrix is also different. At this time, on the basis of different feature identification matrices, Assuming that any feature identification matrix is the current state, the relative infection status of other identification matrices is performed, that is, the addition and subtraction of matrices are used to achieve tracking between multiple wound images after abdominal surgery;

Third, build a model that conforms to the color of the wound image after abdominal surgery, which is represented by the color of the y, C _b , and C _r components here, and the relationship with the common three primary colors of R, G, and B is as follows:

Where y, C _b , C _r represent lumen, blue density offset, red density offset, R, G, B represent red, green, and blue color densities, respectively. The characteristics of color are used to overcome the occlusion of wound images after abdominal surgery. Finally, the application requirements of multi-view monitoring system are analyzed to realize the information transmission of different views, and the space conversion of the matrix is used to realize it.

The formula for the improved search method is as follows:

S(x,y) represents the gray value of the pixel at the coordinate position (x,y) in the wound image to be matched after abdominal surgery, and T(u,v) represents the coordinate position in the template image is (u,v) The gray value of the pixel at the location, and the size of the template image is m×n.

The present invention is verified below in conjunction with simulation experiments.

Figure 8 is the metric surface graph of the improved search method. It can be seen from Figure 8 that there are multiple peak positions in the whole image. If the genetic method is used in the whole image, it is easy to fall into the local optimum point, resulting in premature convergence, and it is impossible to obtain get the correct match. In contrast, the present invention retains four populations, adopts genetic methods in various populations, and the range of various populations is small, and it is easy to converge within each small range to find the best matching point. Therefore, the present invention has advantages.

The above is only the preferred embodiment of the present invention, and does not limit the present invention in any form. Any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention belong to the present invention. within the scope of the technical solution of the invention.

Claims (10)

1. a wound dressing method after abdominal surgery, is characterized in that, the wound dressing method after described abdominal surgery comprises: Step 1: Collect name, gender, work, address, and abdominal symptom information; use medical imaging equipment to collect wound images after abdominal surgery through the wound image collection module; collect the duration of wound dressing after abdominal surgery through the medicine application time collection module; In step 2, a feature identification matrix is constructed for the image information collected in step 1, and a new matrix is constructed by using the characteristics of the wound image after abdominal surgery and the characteristics of the area where the wound image after abdominal surgery is currently located, and the rectangular tracking method is used to discriminate after abdominal surgery. Whether the wound image is generated or disappeared; and analyzes the characteristics of the wound image after abdominal surgery, predicts the state space of the wound image after abdominal surgery, and judges the infection state of the wound image after abdominal surgery; Step 3: Define the pixel value of the wound image after abdominal surgery as 255 and the background pixel value as 0, perform image search, calculate the difference between the gray values of the upper left and upper right pixels of the rectangle, and the difference between the gray values of the pixels in the front and the rear, Calculate the difference between the pixel gray values of the lower left and the lower right, and sum the absolute values of their differences; Step 4, when the obtained sum is greater than the set threshold, it is considered that this point is on the boundary of the wound image object after abdominal surgery; Step 5: Calculate the pixel gray value difference between the upper left and the lower left, the pixel gray value difference between the upper left and the lower right, and the pixel gray value difference between the upper right and lower right for the point described in step 4, and calculate the difference between them. sum the absolute values of the differences; Step 6, when the obtained sum is greater than the set threshold, it is considered that this point is a feature point of the wound image after abdominal surgery; otherwise, it is not a feature point of the wound image after abdominal surgery. Among them, M, N are the length and width of the image sub-block rectangle, K, L are the length and width of the search range rectangle. According to the construction process and the actual matching situation, find the sub-block with the highest similarity with the current block of the current frame as the matching block, From the relative position of the matching block and the current block obtained from the previous frame or the next frame, the infection status displacement of the wound image after abdominal surgery in these two frames is obtained, which is regarded as the infection status vector D of the current block; For the current block of the current frame, let the maximum vector of possible infection state displacement be D(dx,dy), then the corresponding size of the search window of the block of the next frame is represented by (M+2dx)*(N+2dy), and the judgment New post-abdominal surgery wound images, fusion of post-abdominal surgery wound images and disappearance of post-abdominal surgery wound images; Step 7: Perform n times of wavelet transform on the image obtained in step 6 and retain the sub-image of the low-frequency part after wavelet transformation, then the width and height of the sub-image are the same as the original image.

The sub-image area is the area of the original image

Match within the sub-images; use the improved search method to traverse the sub-images to search, and retain several matching points with high similarity during the search process; after the search, map the matching points with high similarity to abdominal surgery In the search sub-region of the post-wound image to be matched; Step 8: Use the genetic method in each search sub-region to initialize each population, select the appropriate mutation factor and crossover factor, and complete an iterative process through mutation operation, crossover operation and selection operation; in the iterative process, Gradually discard the search sub-regions with poor similarity; at the end of the iteration, only one sub-region is retained, the best matching point is found, and the matching process is completed; Step 9, use an estimation program to estimate the wound area after abdominal surgery on the image information obtained in Step 8; obtain an original abdominal surgery wound image with a scale bar; perform grayscale transformation on each pixel value of the original abdominal surgery wound image to obtain the original abdominal surgery wound each post-abdominal surgical wound image pixel value of the image; and enhancing each post-abdominal surgical wound image pixel value of the original post-abdominal surgical wound image using the pre-trained first image generator to obtain an enhanced abdominal surgical wound image ; Step 10: Perform image recognition on the enhanced abdominal surgical wound image containing a scale, and identify a two-dimensional scale image from the photographed image of the abdominal surgical wound containing a scale; use the identified two-dimensional scale image to determine the image and the scale. The ratio of the actual size; performing clustering processing on the photographed images of the abdominal surgical wound according to color, and clustering the photographed images of the abdominal surgical wound into multiple types of abdominal surgical wound images corresponding to different types of tissue components respectively; Step eleven, using the ratio of the image to the actual size and the multiple types of abdominal surgical wound images corresponding to different types of tissue components, respectively estimate the abdominal surgical wound area of different tissue components. 2. wound dressing method after abdominal surgery as claimed in claim 1, it is characterized in that, step 6 judges the infection state method of wound image after abdominal surgery as: The post-abdominal surgery wound images are divided into the new post-abdominal surgery wound images, the fusion of post-abdominal surgery wound images, and the disappearance of post-abdominal surgery wound images. When the post-abdominal surgery wound images appear, the new abdomen is constructed immediately. Information of wound images after surgery; when the wound images after abdominal surgery are split, analyze the reasons for the splits and track the splits; when different images of wounds after abdominal surgery appear to be fused with each other, analyze the fused wound images after abdominal surgery. Image fusion processing; when the tracked wound image disappears after abdominal surgery, first determine whether it really disappears, and if it does disappear, then delete the original data information. 3. the wound dressing change method after abdominal surgery as claimed in claim 2, is characterized in that, the method that implements the monitoring and tracking of corresponding multi-angle to different states is: First, analyze the shadow illumination and color features of the wound image after abdominal surgery in an infected state, that is, on the basis of the aforementioned method, define the pixel value of the wound image after abdominal surgery to be 255, and the background pixel value to be 0, and perform image search. Calculate the difference between the gray values of the upper left and upper right pixels of the rectangle, the difference between the gray values of the pixels in the front and the rear, and the difference between the gray values of the pixels in the lower left and the lower right, and sum the absolute values of their differences, and then add the Considering the shadow illumination and color characteristics of the wound image after abdominal surgery, fine-tune the threshold to make the threshold fluctuate by 10% on the original basis, and improve the original detection method through the actual experimental effect; Secondly, based on the detection and identification of different wound images after abdominal surgery, their infection status is also different, and the constructed feature identification matrix is also different. At this time, on the basis of different feature identification matrices, Assuming that any feature identification matrix is the current state, the relative infection status of other identification matrices is performed, that is, the addition and subtraction of matrices are used to achieve tracking between multiple wound images after abdominal surgery; Third, build a model that conforms to the color of the wound image after abdominal surgery, which is represented by the color of the y, C _b , and C _r components here, and the relationship with the common three primary colors of R, G, and B is as follows:

Where y, C _b , C _r represent lumen, blue density offset, red density offset, R, G, B represent red, green, and blue color densities, respectively. The characteristics of color are used to overcome the occlusion of wound images after abdominal surgery. Finally, the application requirements of multi-view monitoring system are analyzed to realize the information transmission of different views, and the space conversion of the matrix is used to realize it. 4. The wound dressing method for post-abdominal surgery as claimed in claim 2, characterized in that, The formula for the improved search method is as follows:

S(x,y) represents the gray value of the pixel at the coordinate position (x,y) in the wound image to be matched after abdominal surgery, and T(u,v) represents the coordinate position in the template image is (u,v) The gray value of the pixel at the location, and the size of the template image is m×n. 5. The method for dressing dressing change after abdominal surgery as claimed in claim 1, characterized in that, in the step 10, image recognition is performed on the enhanced abdominal surgery wound image containing a scale bar, and the image is taken from the abdominal surgery wound containing a scale bar. The steps of identifying a two-dimensional scale image in an image include: (2.1) Binarization is performed on the captured image to obtain a white connected domain, and the number of pixels in each white connected domain is calculated; (2.2) For each white connected domain, construct a simulated scale area with the same number of pixels and the same shape as the two-dimensional scale graph, and calculate the similarity coefficient between the simulated scale area and the white connected domain; The obtained similarity coefficients are sorted, and the white connected domain corresponding to the largest similarity coefficient is identified as a two-dimensional scale image; The step of determining the ratio of the image to the actual size using the identified two-dimensional scale image includes: calculating the number of pixels of the two-dimensional scale image; Determine the ratio of the image to the actual size according to the number of pixels of the two-dimensional scale image and the actual area of the two-dimensional scale graphic; The steps of performing clustering processing on the photographed abdominal surgical wound images according to color, and obtaining multiple types of abdominal surgical wound images corresponding to different types of tissue components include: Extract the a-space information and b-space information of the Lab color space from the photographed image of the abdominal surgical wound; According to the a-space information and b-space information of the photographed image of the abdominal surgical wound, clustering the photographed image of the abdominal surgical wound into abdominal surgical wound images corresponding to different types of tissue components respectively; The step 11 uses the ratio of the image to the actual size and the multiple types of abdominal surgical wound images corresponding to different types of tissue components, and the steps of estimating the abdominal surgical wound area of different tissue components respectively include: Calculate the number of pixels of each type of abdominal surgical wound image; Using the ratio of the image to the actual size and the number of pixels of the abdominal surgical wound image for each type, the abdominal surgical wound area for each type of tissue component is calculated. 6. The wound dressing method after abdominal surgery as claimed in claim 1, wherein the dressing method for the wound after abdominal surgery further comprises: Use the cleaning module to clean the wound after abdominal surgery; use the disinfection module to sterilize the wound after abdominal surgery; use the dressing mechanism to apply the medicine on the wound after abdominal surgery through the dressing module and carry out bandage; Monitor the bleeding status of abdominal wounds through the wound bleeding monitoring module; use the evaluation program to evaluate the efficacy of abdominal wound dressings through the drug efficacy evaluation module; The collected patient information, wound images, dressing duration, wound area, bleeding monitoring results, and evaluation results are displayed on the display module through the display. 7. wound dressing method after abdominal surgery as claimed in claim 6, is characterized in that, described wound bleeding monitoring module monitoring method is as follows: 1) Configure the bluetooth and pressure sensor working parameters of the smart gauze; obtain the first pressure value at the position around the abdominal surgical wound of the patient from the first pressure sensor in the smart gauze through the Bluetooth port of the smart gauze, and obtain the first pressure value from the smart gauze from the first pressure sensor in the smart gauze. The second pressure sensor obtains the second pressure value at the bleeding position of the patient's abdominal surgical wound, and determines whether the pressure difference between the first pressure value and the second pressure value changes to monitor whether the abdominal surgical wound bleeds; 2) Obtaining the color value of the smart gauze from the color sensor in the smart gauze through the bluetooth port when the abdominal surgical wound bleeds, and judging whether the smart gauze is full according to the color value of the smart gauze Blood; 3) When the smart gauze is soaked with blood, the patient's pulse value is obtained from the pulse sensor in the smart monitoring terminal, and the patient's blood pressure value is obtained from the blood pressure sensor in the smart monitoring terminal, and the patient's blood pressure is determined. Whether the pulse value and blood pressure value are normal; 4) Generate a first alarm message indicating mild blood loss in the patient through the alarm program according to when the patient's pulse value and blood pressure value are normal, when the patient's pulse value is between the first pulse range and the patient's systolic blood pressure is between When the first systolic blood pressure range is in the first range, a second alarm message is generated indicating that the patient has moderate blood loss. When the patient's pulse value is greater than the second pulse range and the patient's systolic blood pressure is less than the second systolic blood pressure range, a third alarm message indicating the patient's severe blood loss is generated. Alarm information, or when the patient's pulse value is zero and the patient's systolic blood pressure is within the third systolic blood pressure range, a fourth alarm message is generated indicating that the patient is in critical blood loss; The alarm program is also used for when the pressure difference does not change, the smart gauze is not soaked with blood, and the patient's pulse value and blood pressure value are abnormal, the abdominal surgical wound bleeding alarm module is also used for A fifth alarm message is generated indicating that the patient has internal bleeding. 8. A wound dressing system after abdominal surgery, wherein the wound dressing system after abdominal surgery comprises: The patient information collection module, which is connected to the main control module, is used to collect the patient's name, gender, work, address, and abdominal symptom information; The wound image acquisition module is connected with the main control module, and is used to collect the wound image of the patient after abdominal surgery through medical imaging equipment; The medicine application time collection module is connected with the main control module, and is used to collect the wound medicine application time after abdominal surgery; The main control module is connected with the patient information collection module, the wound image collection module, the drug application time collection module, the wound area estimation module, the cleaning module, the disinfection module, the medicine application module, the wound bleeding monitoring module, the drug effect evaluation module, and the display module, It is used to control the normal operation of each module through the host; The wound area estimation module, connected with the main control module, is used to estimate the wound area after abdominal surgery through the estimation program; The cleaning module, connected with the main control module, is used for cleaning the wound after abdominal surgery through the cleaning equipment; The disinfection module, connected with the main control module, is used to disinfect the wound after abdominal surgery through the disinfection equipment; The medicine application module is connected with the main control module, and is used for applying medicine on the wound after abdominal surgery and bandaging through the medicine application mechanism; The wound bleeding monitoring module, connected with the main control module, is used to monitor the bleeding status of abdominal wounds; The drug efficacy evaluation module, which is connected with the main control module, is used to evaluate the drug efficacy of abdominal wound dressing through the evaluation program; The display module, connected with the main control module, is used to display the collected patient information, wound images, duration of dressing, wound area, bleeding monitoring results, and evaluation results through the display. 9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the following steps: The patient's name, gender, work, address, and abdominal symptom information are collected through the patient information collection module; the patient's wound images after abdominal surgery are collected through the wound image collection module using medical imaging equipment; the wound dressing after abdominal surgery is collected through the drug application time collection module. drug duration; The main control module uses the estimation program to estimate the wound area after abdominal surgery through the wound area estimation module; Use the cleaning module to clean the wound after abdominal surgery; use the disinfection module to sterilize the wound after abdominal surgery; use the dressing mechanism to apply the medicine on the wound after abdominal surgery through the dressing module and carry out bandage; Monitor the bleeding status of abdominal wounds through the wound bleeding monitoring module; use the evaluation program to evaluate the efficacy of abdominal wound dressings through the drug efficacy evaluation module; The collected patient information, wound images, dressing duration, wound area, bleeding monitoring results, and evaluation results are displayed on the display module through the display. 10. A computer-readable storage medium storing a computer program, when the computer program is executed by a processor, the processor is caused to perform the following steps: The patient's name, gender, work, address, and abdominal symptom information are collected through the patient information collection module; the patient's wound images after abdominal surgery are collected through the wound image collection module using medical imaging equipment; the wound dressing after abdominal surgery is collected through the drug application time collection module. drug duration; The main control module uses the estimation program to estimate the wound area after abdominal surgery through the wound area estimation module; Use the cleaning module to clean the wound after abdominal surgery; use the disinfection module to sterilize the wound after abdominal surgery; use the dressing mechanism to apply the medicine on the wound after abdominal surgery through the dressing module and carry out bandage; Monitor the bleeding status of abdominal wounds through the wound bleeding monitoring module; use the evaluation program to evaluate the efficacy of abdominal wound dressings through the drug efficacy evaluation module; The collected patient information, wound images, dressing duration, wound area, bleeding monitoring results, and evaluation results are displayed on the display module through the display.

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