Clinical wound healing monitoring method based on three-dimensional wound evaluation tool

Abstract

The invention relates to a clinical wound healing monitoring method based on a three-dimensional wound evaluation tool. A 3D image of a wound is constructed through the three-dimensional wound evaluation tool based on a 3D image generation technology; using an image contour recognition algorithm to recognize and mark a wound healing contour in the 3D image, and using the three-dimensional wound evaluation tool to measure and mark contour parameters of the wound healing contour; and sending the marked wound healing contour to an HIS system, and storing the marked wound healing contour in an electronic medical record of the patient by the HIS system. Wound parameters are marked on the constructed wound three-dimensional image, so that medical staff can monitor the wound form of a patient and supervise wound healing, the wound parameters of the patient are recorded through an HIS system, the wound healing condition of the patient is determined, effective wound healing evaluation and monitoring are achieved, and practical measures which can be implemented on the ground are provided for clinic. And wound supervision and nursing management can be conveniently carried out on patients in general surgery department and the like.

Description

Technical Field

[0001] The present disclosure relates to the technical field of intelligent diagnosis and evaluation, and in particular to a clinical wound healing monitoring method, system and electronic equipment based on a three-dimensional wound evaluation tool. Background Art

[0002] The 3D wound assessment tool is a medical device that uses 3D technology to accurately measure and evaluate wounds. It can provide 3D images and data of wounds, helping medical staff to understand the wound more accurately and develop more effective treatment plans. It has the following advantages:

[0003] Three-dimensional measurement technology: This tool uses advanced three-dimensional measurement technology to accurately obtain three-dimensional information such as the size, depth, and shape of the wound, which is more accurate than traditional two-dimensional measurement. The portable 3D wound assessment tool is mainly based on non-contact measurement and three-dimensional measurement technology, which can more accurately assess the wound condition.

[0004] Portable design: The device is small and easy to carry, and can be used for wound assessment at any time in different situations, improving the flexibility and efficiency of medical services.

[0005] Intuitive display: Through three-dimensional images and data display, medical staff can intuitively understand the wound condition, including the wound edge, depth, tissue type, etc., which helps to formulate a more accurate treatment plan.

[0006] Data recording and analysis: The 3D wound assessment tool can record wound assessment data and perform data analysis to help medical staff track wound healing and evaluate treatment effectiveness. Through 3D scanning and reconstruction technology, a 3D model of the wound is generated, and detailed wound analysis and assessment can be performed.

[0007] With the rapid development of information technology and artificial intelligence, three-dimensional wound assessment tools are increasingly used in clinical practice. They can be used not only for the assessment of acute wounds, but also for the assessment of various types of wounds such as chronic wounds, burns, and trauma.

[0008] However, the current research on this type of assessment tool in China is still in its infancy, and further functional optimization is needed to improve the measurement accuracy of wounds of special shapes. Therefore, the current three-dimensional wound assessment tools are mainly used to provide three-dimensional images of wounds for medical staff to monitor the morphology of patients' injuries. There is no effective assessment and monitoring method for wound healing supervision. Summary of the invention

[0009] In order to solve the above problems, the present application proposes a clinical wound healing monitoring method, system and electronic device based on a three-dimensional wound assessment tool.

[0010] On the one hand, the present application proposes a clinical wound healing monitoring method based on a three-dimensional wound assessment tool, comprising the following steps:

[0011] S1, using RGB-D camera to collect the three-dimensional point cloud image of the wound and upload it to the backend server;

[0012] S2. Preprocessing the wound point cloud image data on the background server to obtain wound point cloud image data;

[0013] S3, importing the wound point cloud image data into a preset three-dimensional wound assessment tool, and constructing a 3D image of the wound based on a 3D image generation technology;

[0014] S4, using an image contour recognition algorithm to identify and mark the wound healing contour in the 3D image, and using the three-dimensional wound assessment tool to measure and annotate its contour parameters;

[0015] S5. Send the marked wound healing contour to the HIS system, which stores it in the patient's electronic medical record.

[0016] As an optional implementation scheme of the present application, optionally, S1, using an RGB-D camera to collect a three-dimensional point cloud image of the wound and uploading it to a backend server, including:

[0017] Pre-build the electronic medical records of trauma patients in the HIS system on the backend server;

[0018] According to the preset sampling frequency, the background server sends a sampling instruction to the industrial computer, and the industrial computer processes the sampling instruction and controls the RGB-D camera to perform sampling, collects the three-dimensional point cloud image of the wound of the trauma patient and feeds it back to the industrial computer;

[0019] The three-dimensional point cloud image is uploaded to the backend server via the industrial computer and stored in the electronic medical record.

[0020] As an optional implementation scheme of the present application, optionally, in step S2, the preprocessing of the wound point cloud image data includes at least one of the following preprocessing methods:

[0021] Delete discrete point cloud pixels;

[0022] or

[0023] Fill in the missing point cloud pixels.

[0024] As an optional embodiment of the present application, optionally, in step S3, after importing the wound point cloud image data into a preset three-dimensional wound assessment tool and constructing a 3D image of the wound based on a 3D image generation technology, the method further includes:

[0025] Collecting a two-dimensional image of the wound and uploading it to the backend server;

[0026] Based on the acquisition angle of the two-dimensional image, taking a screenshot from the 3D image to obtain a comparison image of the two-dimensional image;

[0027] Referring to the two-dimensional image, performing image comparison on the comparison image, and marking image distinguishing features on the comparison image;

[0028] The marked contrast image is re-projected onto the 3D image, and wound correction is performed on the 3D image based on the image distinguishing features marked on the contrast image.

[0029] On the other hand, the present application proposes a system for implementing the above-mentioned clinical wound healing monitoring method based on a three-dimensional wound assessment tool, comprising:

[0030] Wound point cloud data acquisition module, used to use RGB-D camera to collect three-dimensional point cloud images of wounds and upload them to the backend server;

[0031] A preprocessing module, used for preprocessing the wound point cloud image data on the background server to obtain the wound point cloud image data;

[0032] A wound 3D creation module, used for importing the wound point cloud image data into a preset three-dimensional wound assessment tool, and constructing a 3D image of the wound based on 3D image generation technology;

[0033] A contour recognition module, for recognizing and marking the wound healing contour in the 3D image using an image contour recognition algorithm, and measuring and marking its contour parameters using the three-dimensional wound assessment tool;

[0034] The wound healing monitoring module is used to send the marked wound healing profile to the HIS system, which is then stored in the patient's electronic medical record.

[0035] In another aspect, the present application further provides an electronic device, comprising:

[0036] processor;

[0037] a memory for storing processor-executable instructions;

[0038] Wherein, the processor is configured to implement the clinical wound healing monitoring method based on a three-dimensional wound assessment tool when executing the executable instructions.

[0039] Technical effects of the present invention:

[0040] This application uses a three-dimensional wound assessment tool based on 3D image generation technology to construct a 3D image of the wound; uses an image contour recognition algorithm to identify and mark the wound healing contour in the 3D image, and uses the three-dimensional wound assessment tool to measure and annotate its contour parameters; sends the annotated wound healing contour to the HIS system, which is stored in the patient's electronic medical record by the HIS system. In this way, wound parameters are annotated on the constructed three-dimensional wound image for medical staff to monitor the patient's trauma morphology. For wound healing supervision, the patient's wound parameters are recorded through the HIS system to determine the patient's wound healing status, achieve effective wound healing assessment and monitoring, and provide practical and implementable measures for clinical practice, facilitating wound supervision and nursing management for patients in general surgery and other departments.

[0041] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

[0043] Figure 1 It is shown as a schematic diagram of the implementation process of the present invention;

[0044] Figure 2 Shown is a schematic diagram of the structure of the application system of the present invention;

[0045] Figure 3 A schematic diagram showing identification marks of the wound healing profile of the present invention is shown;

[0046] Figure 4 It is a schematic diagram showing the application of the electronic device of the present invention. DETAILED DESCRIPTION

[0047] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0048] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0049] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the main purpose of the present disclosure.

[0050] Example 1

[0051] like Figure 1 As shown, on the one hand, the present application proposes a clinical wound healing monitoring method based on a three-dimensional wound assessment tool, comprising the following steps:

[0052] S1, using RGB-D camera to collect 3D point cloud images of the wound and upload them to the backend server;

[0053] S2. Preprocessing the wound point cloud image data on the background server to obtain wound point cloud image data;

[0054] S3, importing the wound point cloud image data into a preset three-dimensional wound assessment tool, and constructing a 3D image of the wound based on a 3D image generation technology;

[0055] S4, using an image contour recognition algorithm to identify and mark the wound healing contour in the 3D image, and using the three-dimensional wound assessment tool to measure and annotate its contour parameters;

[0056] S5. Send the marked wound healing contour to the HIS system, which stores it in the patient's electronic medical record.

[0057] Combined with Figure 2 As shown, the application system on which the method of the present invention relies mainly consists of a 3D camera (RGB-D camera), an industrial computer and a background server, and a nursing device PDA terminal (referred to as a nursing terminal).

[0058] The 3D wound assessment tool allows users to select and install the corresponding application on the backend. For example, the 3D forensic intelligent measurement system developed by the Zhen 3D team (for forensic clinical injury identification, it can quickly calculate the length, width and area of ​​curved wounds on the body surface).

[0059] 3D cameras can be deployed in various departments, such as the general surgery department, to collect wound samples from trauma patients, and the industrial computer can control the 3D camera to take pictures and take samples. The data communication and communication control between the industrial computer and the 3D camera can be deployed with reference to the control principles of existing industrial computers, and the 3D camera can choose the communication port device supported by the industrial computer. The industrial computer can communicate data with the background, and can use RS485 communication, other wired communication methods or wireless communication methods to achieve data communication between the industrial computer and the background server.

[0060] For trauma patients, they can go to the nursing room regularly for sampling as instructed by the doctor, or they can use a 3D camera deployed next to the bed to take regular samples of the patient's injured area. The specific deployment and application location can be decided by the administrator.

[0061] During sampling, the backend server can send sampling instructions to the industrial computer, which executes the instructions and controls the 3D camera to perform 3D image sampling, thereby collecting the 3D point cloud image data of the patient's wound, which is then pre-processed by the industrial computer and uploaded to the backend server. The FGPA image processing chip can be deployed in the industrial computer, which can perform image fusion processing on the 3D point cloud image in advance, generate the initial 3D wound model based on 3D modeling technology, and then upload it to the backend server. Subsequently, the 3D point cloud image data is further processed in depth on the backend server to obtain a 3D image of the wound, reducing the operating pressure of the backend server.

[0062] The corresponding 3D wound assessment tool, namely 3D wound assessment software, is pre-installed and deployed on the three backend servers. Based on 3D image generation technology, the 3D point cloud image data of the wound can be processed (refer to 3D reconstruction technology) and the corresponding 3D image of the wound can be automatically generated, that is, the attached Figure 3 The three-dimensional model of the wound is shown.

[0063] After using the tool to create a 3D wound model or a 3D wound image, the wound healing contour in the image can be identified. Here, an image contour recognition algorithm is used to identify and mark the wound healing contour in the 3D image, so that the three-dimensional wound assessment tool can be used to measure the parameters of the marked wound healing contour and automatically mark it. In this way, the wound healing parameters of the corresponding current patient are marked and output.

[0064] According to the above method, the three-dimensional data of the patient's wound can be collected regularly and the corresponding 3D image can be generated. The tool can then be used to measure the parameters of the wound healing contour of the 3D image, and these measurement parameters can be output and recorded in the patient's electronic medical record file in the HIS system. Subsequent nursing staff can log in to the background server through a PDA terminal, etc. to view the patient's electronic medical record file in the HIS system, so as to analyze the patient's wound healing condition and provide corresponding wound healing care strategies from the background.

[0065] Through the above method, nurses do not need to monitor and track the healing of patients' wounds on site, thus saving nursing resources. After uploading the three-dimensional point cloud image data of the wound, the corresponding wound healing supervision file can be generated on the background server, allowing nurses to monitor the wound healing of each patient and track it in time, and provide patients with corresponding wound healing status and nursing suggestions.

[0066] In addition, the 3D camera of the present invention can also be operated by a robotic arm. The robotic arm is controlled by an industrial computer, and the corresponding robotic arm background control software can be installed on the background server. The background control software generates the corresponding robotic arm movement trajectory and sends control parameters or instructions to the industrial computer. The industrial computer controls the robotic arm to drive the 3D camera to take pictures of the patient's wound. The corresponding movement trajectory can be constructed in advance by the background administrator. The robotic arm can be controlled to drive the 3D camera to collect three-dimensional point cloud image data of the patient's wound from different spatial angles, which can realize automated image acquisition, remote control, and unmanned monitoring.

[0067] Users can use the 3D wound assessment tool to achieve the following services:

[0068] 1. Measurement and marking methods

[0069] Data scanning and loading: Utilize the 3D loading engine to achieve smooth rendering of 3D model data, providing a basis for measurement.

[0070] 2. Millimeter-level measurement: Use millimeter-level measuring tools to quickly locate and measure the length and width of the wound on the model, and then calculate the area.

[0071] 3. Automatic labeling: The system can automatically label the size of the wound on the image for easy subsequent analysis and recording.

[0072] These three-dimensional wound assessment tool software and measurement methods provide a more scientific and accurate means for forensic clinical identification, helping to improve the efficiency and accuracy of identification.

[0073] The above-mentioned measured and marked parameters can be measured and marked by the tool, and the corresponding size parameters of the wound healing contour can be output to record the healing status of the patient's wound, and then written into the HIS system by the system.

[0074] like Figure 3 As shown, it is a schematic diagram of using an image contour recognition algorithm to identify and mark the wound healing contour in the 3D image. Contour recognition is performed on the 3D image of the wound (wound three-dimensional model), and the wound contour (or wound healing contour) can be identified and marked, and then the measurement and annotation functions of the tool are used to annotate and output the contour size of the wound healing contour to obtain the wound healing size.

[0075] The algorithms for recognizing and marking image contours usually involve computer vision and image processing techniques. A common method is to use edge detection algorithms to identify contours in images and then mark these contours. The following is a general step for image contour recognition and marking based on edge detection:

[0076] Algorithm selection

[0077] Commonly used edge detection algorithms include Canny edge detection, Sobel edge detection, Prewitt edge detection, Roberts edge detection, etc. Among them, Canny edge detection is widely used due to its good detection performance and accuracy.

[0078] Image contour recognition steps

[0079] Image preprocessing:

[0080] Grayscale the original image and convert the color image into a grayscale image to simplify processing.

[0081] Perform image filtering to remove noise and enhance edge clarity.

[0082] Edge Detection:

[0083] Apply the selected edge detection algorithm (such as Canny edge detection) to process the grayscale image to obtain a binary edge image.

[0084] In an edge image, pixels with a pixel value of 1 represent edges, and pixels with a pixel value of 0 represent non-edges.

[0085] Contour extraction:

[0086] Perform contour tracking or contour extraction on the edge image to obtain the contour information in the image.

[0087] Contour extraction can be done by traversing the edge image, finding continuous edge pixels, and connecting them into contours.

[0088] Contour Marking:

[0089] The extracted contours are marked for subsequent processing and analysis.

[0090] Labeling can be achieved by assigning each contour a unique identifier or color.

[0091] Profile analysis and applications:

[0092] Further analysis is performed on the marked contour, such as calculating the contour's length, area, shape and other features.

[0093] Applications such as image understanding, target recognition, and object tracking are performed based on contour features.

[0094] Precautions

[0095] When performing edge detection, it is necessary to select appropriate thresholds and parameters to obtain an accurate edge image.

[0096] The accuracy of contour extraction and labeling is affected by image quality and preprocessing effect, so the image needs to be properly preprocessed.

[0097] For complex images, it may be necessary to combine other image processing techniques (such as image segmentation, morphological processing, etc.) to improve the accuracy of contour recognition and labeling.

[0098] Through the above steps, the image contour can be recognized and marked, providing a basis for subsequent image analysis and application.

[0099] As an optional implementation scheme of the present application, optionally, S1, using an RGB-D camera to collect a three-dimensional point cloud image of the wound and uploading it to a backend server, including:

[0100] Pre-build the electronic medical records of trauma patients in the HIS system on the backend server;

[0101] According to the preset sampling frequency, the background server sends a sampling instruction to the industrial computer, and the industrial computer processes the sampling instruction and controls the RGB-D camera to perform sampling, collects the three-dimensional point cloud image of the wound of the trauma patient and feeds it back to the industrial computer;

[0102] The three-dimensional point cloud image is uploaded to the backend server via the industrial computer and stored in the electronic medical record.

[0103] The sampling frequency can be determined by the administrator, who can log in to the backend through the PDA and enter the corresponding sampling frequency. The configuration and command execution of the industrial computer can be understood in combination with the controller of the existing system. The deployment of the industrial computer can be designed at the bedside or nurse station.

[0104] As an optional implementation scheme of the present application, optionally, in step S2, the preprocessing of the wound point cloud image data includes at least one of the following preprocessing methods:

[0105] Delete discrete point cloud pixels;

[0106] or

[0107] Fill in the missing point cloud pixels.

[0108] Contour recognition algorithms mainly include the following:

[0109] Preprocessing method of wound point cloud image data:

[0110] Noise filtering: Use statistical filtering, median filtering and other methods to remove noise from the point cloud.

[0111] Point cloud registration: Register the point cloud data acquired from multiple perspectives so that they are in the same coordinate system.

[0112] Point cloud downsampling: Downsample the point cloud to reduce the amount of data and increase processing speed.

[0113] Point cloud segmentation: Divide the point cloud into several areas for easy subsequent processing.

[0114] Point cloud feature extraction: Extract geometric features of point clouds, such as curvature, normal vector, etc.

[0115] The preprocessing can be implemented by the administrator.

[0116] As an optional embodiment of the present application, optionally, in step S3, after importing the wound point cloud image data into a preset three-dimensional wound assessment tool and constructing a 3D image of the wound based on a 3D image generation technology, the method further includes:

[0117] Collecting a two-dimensional image of the wound and uploading it to the backend server;

[0118] Based on the acquisition angle of the two-dimensional image, taking a screenshot from the 3D image to obtain a comparison image of the two-dimensional image;

[0119] Referring to the two-dimensional image, performing image comparison on the comparison image, and marking image distinguishing features on the comparison image;

[0120] The marked contrast image is re-projected onto the 3D image, and wound correction is performed on the 3D image based on the image distinguishing features marked on the contrast image.

[0121] There may be model differences between the physical model and the three-dimensional wound model due to system differences, such as missing pixels in the point cloud data collection. Therefore, this department also uses two-dimensional images to correct the wound image on the three-dimensional wound image to improve the image position accuracy of the wound contour. Using the collected two-dimensional wound image (can be a 2D camera, or continue to use a 3D camera, but need to set the working parameters and camera angle, 2D camera mode conversion), based on the acquisition angle of the two-dimensional image, the 3D image is screenshotted to obtain a two-dimensional contrast image of the corresponding wound healing area, and then combined with the two-dimensional image of the patient's wound as a reference, the intercepted contrast image is compared, and the image distinguishing features with image contours or regional differences are marked, and the marked contrast image is re-projected onto the 3D image, so as to achieve the effect of using the physical two-dimensional image to correct the three-dimensional model, so that the wound contour area or wound healing contour on the three-dimensional wound model is more matched with the actual wound contour, and the accuracy is improved.

[0122] Obviously, those skilled in the art should understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviated as: HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0123] Example 2

[0124] Based on the implementation principle of Example 1, on the other hand, the present application proposes a system for implementing the above-mentioned clinical wound healing monitoring method based on a three-dimensional wound assessment tool, comprising:

[0125] Wound point cloud data acquisition module, used to use RGB-D camera to collect three-dimensional point cloud images of wounds and upload them to the backend server;

[0126] A preprocessing module, used for preprocessing the wound point cloud image data on the background server to obtain the wound point cloud image data;

[0127] A wound 3D creation module, used for importing the wound point cloud image data into a preset three-dimensional wound assessment tool, and constructing a 3D image of the wound based on 3D image generation technology;

[0128] A contour recognition module, for recognizing and marking the wound healing contour in the 3D image using an image contour recognition algorithm, and measuring and marking its contour parameters using the three-dimensional wound assessment tool;

[0129] The wound healing monitoring module is used to send the marked wound healing profile to the HIS system, which is then stored in the patient's electronic medical record.

[0130] The interaction of the above system can be understood in conjunction with the corresponding interaction steps in Example 1, and will not be described in detail in this example.

[0131] The modules or steps of the present invention described above can be implemented by a general-purpose computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0132] Example 3

[0133] like Figure 4 As shown, further, in another aspect, the present application also proposes a base electronic device, including:

[0134] processor;

[0135] a memory for storing processor-executable instructions;

[0136] Wherein, the processor is configured to implement a clinical wound healing monitoring method based on a three-dimensional wound assessment tool as described in Example 1 when executing the executable instructions.

[0137] The electronic device of the embodiment of the present disclosure includes a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to implement a clinical wound healing monitoring method based on a three-dimensional wound assessment tool as described in the above embodiment 1 when executing the executable instructions.

[0138] Here, it should be noted that the number of processors can be one or more. At the same time, the electronic device of the embodiment of the present disclosure may also include an input system and an output system. Among them, the processor, memory, input system and output system may be connected through a bus or in other ways, which are not specifically limited here.

[0139] The memory, as a computer-readable storage medium, can be used to store software programs, computer executable programs and various modules, such as the program or module corresponding to the clinical wound healing monitoring method based on a three-dimensional wound assessment tool in the embodiment of the present disclosure. The processor executes various functional applications and data processing of the electronic device by running the software programs or modules stored in the memory.

[0140] The input system can be used to receive input numbers or signals. The signal can be a key signal related to user settings and function control of the device / terminal / server. The output system can include display devices such as display screens.

[0141] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A clinical wound healing monitoring method based on a three-dimensional wound assessment tool, characterized in that: The steps include: S1, using RGB-D camera to collect 3D point cloud images of the wound and upload them to the backend server; S2. Preprocessing the wound point cloud image data on the background server to obtain wound point cloud image data; S3, importing the wound point cloud image data into a preset three-dimensional wound assessment tool, and constructing a 3D image of the wound based on a 3D image generation technology; S4, using an image contour recognition algorithm to identify and mark the wound healing contour in the 3D image, and using the three-dimensional wound assessment tool to measure and annotate its contour parameters; S5. Send the marked wound healing contour to the HIS system, which stores it in the patient's electronic medical record.

2. A clinical wound healing monitoring method based on a three-dimensional wound assessment tool according to claim 1, characterized in that: S1. Use RGB-D camera to collect 3D point cloud images of wounds and upload them to the backend server, including: Pre-build the electronic medical records of trauma patients in the HIS system on the backend server; According to the preset sampling frequency, the background server sends a sampling instruction to the industrial computer, and the industrial computer processes the sampling instruction and controls the RGB-D camera to perform sampling, collects the three-dimensional point cloud image of the wound of the trauma patient and feeds it back to the industrial computer; The three-dimensional point cloud image is uploaded to the backend server via the industrial computer and stored in the electronic medical record.

3. A clinical wound healing monitoring method based on a three-dimensional wound assessment tool according to claim 1, characterized in that: In step S2, the preprocessing of the wound point cloud image data includes at least one of the following preprocessing methods: Delete discrete point cloud pixels; or Fill in the missing point cloud pixels.

4. A clinical wound healing monitoring method based on a three-dimensional wound assessment tool according to claim 1, characterized in that: In step S3, after the wound point cloud image data is imported into a preset three-dimensional wound assessment tool and a 3D image of the wound is constructed based on a 3D image generation technology, the method further includes: Collecting a two-dimensional image of the wound and uploading it to the backend server; Based on the acquisition angle of the two-dimensional image, taking a screenshot from the 3D image to obtain a comparison image of the two-dimensional image; Referring to the two-dimensional image, performing image comparison on the comparison image, and marking image distinguishing features on the comparison image; The marked contrast image is re-projected onto the 3D image, and wound correction is performed on the 3D image based on the image distinguishing features marked on the contrast image.

5. A system for implementing a clinical wound healing monitoring method based on a three-dimensional wound assessment tool as described in any one of claims 1 to 4, characterized in that: include: Wound point cloud data acquisition module, used to use RGB-D camera to collect three-dimensional point cloud images of wounds and upload them to the backend server; A preprocessing module, used for preprocessing the wound point cloud image data on the background server to obtain the wound point cloud image data; A wound 3D creation module, used for importing the wound point cloud image data into a preset three-dimensional wound assessment tool, and constructing a 3D image of the wound based on 3D image generation technology; A contour recognition module, for recognizing and marking the wound healing contour in the 3D image using an image contour recognition algorithm, and measuring and marking its contour parameters using the three-dimensional wound assessment tool; The wound healing monitoring module is used to send the marked wound healing profile to the HIS system, which is then stored in the patient's electronic medical record.

6. An electronic device, characterized in that include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to implement a clinical wound healing monitoring method based on a three-dimensional wound assessment tool as described in any one of claims 1-4 when executing the executable instructions.

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