Orthopedic surgery recovery system based on skin distractor

Abstract

The invention discloses an orthopedic surgery recovery system based on a skin distractor, and relates to the technical field of skin distractors, and the orthopedic surgery recovery system comprises an image analysis module which is used for analyzing a skin distractor image uploaded to the orthopedic surgery recovery system, and obtaining a left fixing point position evaluation coefficient and a right fixing point position evaluation coefficient; the tension analysis module is used for carrying out tension acquisition and analysis on fixed points on the skin distractor to obtain a left fixed point tension evaluation coefficient and a right fixed point tension evaluation coefficient; and the distraction device adjustment evaluation module is used for analyzing the left fixed point position evaluation coefficient, the right fixed point position evaluation coefficient, the left fixed point tension evaluation coefficient and the right fixed point tension evaluation coefficient, calculating to obtain a skin distraction device abnormal index, and evaluating the working abnormal state of the skin distraction device. A corresponding skin distractor adjustment early warning is sent out; the abnormal working state of the skin distractor is quantitatively evaluated, and potential problems can be timely found and processed.

Description

Technical Field

[0001] The invention relates to the technical field of skin stretchers, and in particular to an orthopedic recovery system based on a skin stretcher. Background Art

[0002] Skin stretchers are tools used to repair tissue defects. Their working principle is based on the viscoelasticity and mechanical stretchability of the skin itself. By pulling the normal skin on both sides of the wound edge toward the center through external force, it uses these characteristics to "extra" produce skin to close the wound. Skin stretchers are used in many situations, such as repairing skin defects caused by trauma, inflammation, tumor resection, bedsores, etc., and promoting wound healing. It can not only avoid complex surgical operations such as free skin grafting and flap transfer, but also relieve the pain of dressing changes for patients, shorten the treatment cycle, and reduce the number of days in hospital. Compared with traditional treatment methods, skin stretchers can also reduce scar formation and make wounds more beautiful. However, skin stretchers also have some disadvantages during use. For example, due to the elastic modulus of the spring that adjusts the tension and the friction loss of the screw sleeve, the pulling force may not be accurately controlled and needs to be observed and judged based on experience. This may lead to the inability to quantify the changes in blood circulation and skin temperature when the skin is stretched, and it is also impossible to accurately judge the size, stretching speed, and tension increase of the skin in different parts.

[0003] In a Chinese invention application with application publication number CN117338448A, a wound skin stretching and closure control method and system are disclosed, including connecting a controller to a drive motor and a camera in a stretcher, and then using the camera to obtain an initial image of the wound area to be treated. Then, the controller determines the stretching distance based on the initial image and a preset stretching distance calculation model, and determines the rotation amount of the drive motor based on the stretching distance, so as to control the drive motor to rotate according to the rotation amount, so as to drive two groups of hanging needles to approach each other, thereby automatically determining the stretching distance based on the initial image of the wound area to be treated, and automatically determining the rotation amount of the drive motor based on the stretching distance, so as to realize automatic control of the wound skin stretching and closure system when the wound skin is pulled and closed.

[0004] In the above invention application, the initial image of the wound area to be treated is analyzed to determine the stretching distance, and the rotation amount of the driving motor is determined according to the stretching distance, so as to realize automatic control of the wound skin stretching and closing system when the wound skin is pulled and closed. However, it is only applicable to use during the adjustment process of the skin stretcher. However, after the adjustment, due to the patient's daily activities or improper maintenance, the position of the skin stretcher may be offset or even fall off, the patient may feel pain or discomfort, and the treatment may be interrupted, making the original treatment plan unable to be effectively implemented, and increasing the risk of complications.

[0005] To this end, the present invention provides an orthopedic surgery restoration system based on a skin stretcher. Summary of the invention

[0006] 1. Technical issues to be solved

[0007] In view of the deficiencies in the prior art, the present invention provides an orthopedic recovery system based on a skin stretcher. The present invention analyzes and evaluates the comprehensive performance of the skin stretcher fixing point in terms of position and tension, thereby providing a more comprehensive understanding of the working condition of the skin stretcher and quantitatively evaluating the abnormal working state of the skin stretcher, which helps to promptly discover and deal with potential problems and avoid further deterioration of the problems, thereby solving the technical problems recorded in the background technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: an orthopedic recovery system based on a skin stretcher, comprising:

[0010] Image analysis module, used to extract features from the skin stretcher image uploaded to the orthopedic surgery recovery system, and obtain the position coordinates of the left fixed point on the skin stretcher image in the coordinate system and the position coordinates of the right fixed point in the coordinate system After further analysis, the left fixed point position evaluation coefficient is obtained and the right fixed point position evaluation coefficient It includes an image uploading unit, a feature extraction unit, a fixed point position analysis unit and a fixed point position evaluation unit;

[0011] The tension analysis module is used to collect the tension of the fixed point on the skin tensioner and obtain the tension of the left fixed point. and right fixed point tension After analysis, the tension fluctuation value of the left fixed point is obtained And the right fixed point tension fluctuation value And further analysis to obtain the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient It includes a tension acquisition unit, a fixed point tension analysis unit and a fixed point tension evaluation unit;

[0012] Distractor adjustment evaluation module, used to evaluate the coefficient of the left fixed point position and the right fixed point position evaluation coefficient and the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient Analyze and calculate the left fixed point comprehensive index and right fixed point composite index Skin stretcher abnormality index Skin stretcher abnormality index The abnormal working state of the skin stretcher is evaluated, and a corresponding skin stretcher adjustment warning is issued; it includes a fixed point comprehensive analysis unit and a stretcher adjustment warning unit.

[0013] Furthermore, the skin stretcher images in the user image data set are numbered sequentially according to the recording time, and the skin stretcher image with the earliest recording time is numbered 1 and is set as the reference image.

[0014] Furthermore, a feature point detection algorithm (such as SIFT, SURF, etc.) is used to detect the common feature points of all skin stretcher images and control images in the user image dataset. Based on the detected feature points, all skin stretcher images are aligned with the control images, adjusted to the same size and resolution as the control images, and a unified coordinate system is established.

[0015] Furthermore, depth-first search is used to collect image data containing skin stretcher fixed point annotations from the Internet, and the image data set containing skin stretcher fixed point annotations is divided into training set, validation set and test set. After importing the deep learning model for training and testing, the fixed point recognition model is output.

[0016] Furthermore, the skin stretcher images in the user image dataset are imported into the fixed point recognition model, the left fixed point and the right fixed point of each skin stretcher image are identified, and the position coordinates of the left fixed point in the coordinate system are derived. and the position coordinates of the right fixed point in the coordinate system

[0017] Further, the position coordinates of the left fixed point of each skin stretcher image are obtained and the position coordinates of the right fixed point After linear normalization, the x-direction displacement of the left fixed point of each skin stretcher image is calculated. and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement

[0018]

[0019] in, Indicates the time sequence number of the image. k represents the sequential number of the fixed point, k=1, 2, ..., t, s and t are positive integers, x represents the x direction, and y represents the y direction.

[0020] Further, obtain the x-direction displacement of the left fixed point and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement After linear normalization, the left fixed point position evaluation coefficient is calculated and the right fixed point position evaluation coefficient

[0021]

[0022] Corresponding left fixed point position evaluation coefficient and the right fixed point position evaluation coefficient The calculation formula is as above.

[0023] Further, obtain the tension of the left fixed point and right fixed point tension After linear normalization, the tension fluctuation value of the left fixed point is calculated And the right fixed point tension fluctuation value

[0024]

[0025] Corresponding left fixed point tension fluctuation value And the right fixed point tension fluctuation value The calculation formula is as above.

[0026] Further, obtain the tension fluctuation value of the left fixed point And the right fixed point tension fluctuation value After linear normalization, the left fixed point tension evaluation coefficient is calculated: and right fixed point tension evaluation coefficient

[0027]

[0028] Corresponding left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient The calculation formula is as above.

[0029] Further, the left fixed point position evaluation coefficient is obtained from the image analysis module and the right fixed point position evaluation coefficient And obtain the left fixed point tension evaluation coefficient from the tension analysis module and right fixed point tension evaluation coefficient After linear normalization, the left fixed point comprehensive index is calculated and right fixed point composite index

[0030]

[0031] The corresponding left fixed point comprehensive index and right fixed point composite index The calculation formula is as above.

[0032] Further, obtain the left fixed point comprehensive index and right fixed point composite index After linear normalization, the skin stretcher abnormality index was calculated.

[0033]

[0034] Corresponding skin stretcher abnormality index The calculation formula is as above.

[0035] Furthermore, the skin stretcher abnormality index was obtained Skin stretcher abnormality index Evaluate the abnormal working status of the skin stretcher and select the corresponding skin stretcher adjustment warning processing strategy, specifically:

[0036] when When the skin stretcher is turned on, it will be fed back that there is no abnormality in the operation of the skin stretcher. No measures need to be taken and monitoring should be continued to prevent any abnormality.

[0037] when When the skin stretcher is in a low-level abnormal state, the tension at the fixed point is abnormal or the position is offset, a secondary skin stretcher adjustment warning command is issued to the outside, an adjustment time is scheduled for the user, and the skin stretcher is adjusted.

[0038] when When the skin stretcher is in a high-level abnormal state, the tension at the fixed point is abnormal and the position is offset, a first-level skin stretcher adjustment warning command is issued, and the current skin stretcher needs to be adjusted immediately to eliminate safety hazards.

[0039] in, Refers to the abnormal index of all skin stretchers of all users The mean of .

[0040] (III) Beneficial effects

[0041] The present invention provides an orthopedic surgery recovery system based on a skin stretcher, which has the following beneficial effects:

[0042] 1. By extracting features from the skin stretcher image uploaded to the orthopedic surgery recovery system, the position coordinates of the left fixed point on the skin stretcher image in the coordinate system are obtained. and the position coordinates of the right fixed point in the coordinate system After further analysis, the left fixed point position evaluation coefficient is obtained and the right fixed point position evaluation coefficient It helps to understand the displacement of the fixed point more intuitively and reflect the degree of displacement of the fixed point in a specific direction, thereby helping to judge the stability and safety of the fixed point of the skin stretcher.

[0043] 2. Collect the tension of the fixed point on the skin stretcher to obtain the tension of the left fixed point and right fixed point tension After analysis, the tension fluctuation value of the left fixed point is obtained And the right fixed point tension fluctuation value And further analysis to obtain the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient The tension of the fixed point can be evaluated more intuitively, and the working status of the skin stretcher can be understood in real time, which is of great significance for optimizing the use of the skin stretcher.

[0044] 3. Evaluate the coefficient of the left fixed point position and the right fixed point position evaluation coefficient and the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient Analyze and calculate the left fixed point comprehensive index and right fixed point composite index Skin stretcher abnormality index Skin stretcher abnormality index Evaluating the abnormal working status of the skin stretcher and issuing corresponding skin stretcher adjustment warnings can fully reflect the comprehensive performance of the fixed point in terms of position and tension, provide a more comprehensive understanding of the working conditions of the skin stretcher, and quantitatively evaluate the abnormal working status of the skin stretcher, which will help to promptly discover and deal with potential problems and avoid further deterioration of the problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 The present invention is a schematic structural diagram of an orthopedic recovery system based on a skin stretcher.

[0046] Figure 2 The figure is a schematic diagram of a flow chart of the fixed point recognition model of the present invention for recognizing the left fixed point and the right fixed point in the skin stretcher image. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 The present invention provides an orthopedic surgery recovery system based on a skin stretcher, comprising:

[0049] Image analysis module, used to extract features from the skin stretcher image uploaded to the orthopedic surgery recovery system, and obtain the position coordinates of the left fixed point on the skin stretcher image in the coordinate system and the position coordinates of the right fixed point in the coordinate system After further analysis, the left fixed point position evaluation coefficient is obtained and the right fixed point position evaluation coefficient It includes an image uploading unit, a feature extraction unit, a fixed point position analysis unit and a fixed point position evaluation unit. The image uploading unit is used to upload the skin stretcher image from the user end to the orthopedic surgery restoration system, and record the upload time of each skin stretcher image to build a user image data set. The feature extraction unit is used to extract features from the skin stretcher image in the user image data set to obtain the position coordinates of the left fixed point on the skin stretcher image in the coordinate system. and the position coordinates of the right fixed point in the coordinate system The fixed point position analysis unit calculates the position coordinates of the left fixed point in the coordinate system from the feature extraction unit. and the position coordinates of the right fixed point in the coordinate system Analyze and obtain the x-direction displacement of the left fixed point of each skin stretcher image and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement The fixed point position evaluation unit calculates the x-direction displacement of the left fixed point of each skin stretcher image from the fixed point position analysis unit. and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement Perform analysis to obtain the left fixed point position evaluation coefficient and the right fixed point position evaluation coefficient

[0050] The skin stretcher images in the user image data set are numbered sequentially according to the recording time. The skin stretcher image with the earliest recording time is numbered 1 and is set as the control image.

[0051] A feature point detection algorithm (such as SIFT, SURF, etc.) is used to detect the common feature points of all skin stretcher images and control images in the user image dataset. Based on the detected feature points, all skin stretcher images are aligned with the control images, adjusted to the same size and resolution as the control images, and a unified coordinate system is established.

[0052] Feature point detection algorithm is a common method for target detection. Image features can generally be divided into three types: points, lines, and surfaces. Point features are important local features in digital images. They have the advantages of small calculation amount and simple matching, so they are widely used. These feature point detection algorithms are widely used in many fields, including target recognition and tracking, image registration and stitching, augmented reality (AR) and virtual reality (VR), image retrieval and classification, 3D reconstruction and modeling, and video processing and analysis.

[0053] Use depth-first search to collect image data containing skin stretcher fixed point annotations from the Internet, divide the image data set containing skin stretcher fixed point annotations into training set, validation set and test set, import the deep learning model for training and testing, and then output the fixed point recognition model.

[0054] Import the skin stretcher images in the user image dataset into the fixed point recognition model, identify the left and right fixed points of each skin stretcher image, and derive the position coordinates of the left fixed point in the coordinate system and the position coordinates of the right fixed point in the coordinate system

[0055] Get the position coordinates of the left fixed point of each skin stretcher image and the position coordinates of the right fixed point After linear normalization, the x-direction displacement of the left fixed point of each skin stretcher image is calculated. and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement

[0056]

[0057] in, Indicates the time sequence number of the image. k represents the sequential number of the fixed point, k=1, 2, ..., t, s and t are positive integers, x represents the x direction, and y represents the y direction.

[0058] Get the x-direction displacement of the left fixed point and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement After linear normalization, the left fixed point position evaluation coefficient is calculated and the right fixed point position evaluation coefficient

[0059]

[0060] Corresponding left fixed point position evaluation coefficient and the right fixed point position evaluation coefficient The calculation formula is as above.

[0061] By extracting the features of the skin stretcher image uploaded to the orthopedic surgery recovery system, the position coordinates of the left fixed point on the skin stretcher image in the coordinate system are obtained. and the position coordinates of the right fixed point in the coordinate system After further analysis, the left fixed point position evaluation coefficient is obtained and the right fixed point position evaluation coefficient It helps to understand the displacement of the fixed point more intuitively and reflect the degree of displacement of the fixed point in a specific direction, thereby helping to judge the stability and safety of the fixed point of the skin stretcher.

[0062] The tension analysis module is used to collect the tension of the fixed point on the skin tensioner and obtain the tension of the left fixed point. and right fixed point tension After analysis, the tension fluctuation value of the left fixed point is obtained And the right fixed point tension fluctuation value And further analysis to obtain the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient It includes a tension collection unit, a fixed point tension analysis unit and a fixed point tension evaluation unit. The tension collection unit is used to collect the tension of the left fixed point on the skin tensioner. and right fixed point tension The fixed point tension analysis unit is used to analyze the left fixed point tension from the tension acquisition unit. and right fixed point tension Analyze and obtain the tension fluctuation value of the left fixed point And the right fixed point tension fluctuation value The fixed point tension evaluation unit is used to evaluate the left fixed point tension fluctuation value from the fixed point tension analysis unit. And the right fixed point tension fluctuation value Perform analysis to obtain the tension evaluation coefficient of the left fixed point and right fixed point tension evaluation coefficient

[0063] The tension at each fixed point on the skin stretcher is directly measured by a tension sensor installed at the fixed point, and the measurement frequency is once each time the user uploads an image of the skin stretcher.

[0064] Get the tension of the left fixed point and right fixed point tension After linear normalization, the tension fluctuation value of the left fixed point is calculated And the right fixed point tension fluctuation value

[0065]

[0066] Corresponding left fixed point tension fluctuation value And the right fixed point tension fluctuation value The calculation formula is as above.

[0067] Get the tension fluctuation value of the left fixed point And the right fixed point tension fluctuation value After linear normalization, the left fixed point tension evaluation coefficient is calculated: and right fixed point tension evaluation coefficient

[0068]

[0069] Corresponding left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient The calculation formula is as above.

[0070] By collecting the tension at the fixed point on the skin stretcher, the tension at the left fixed point is obtained. and right fixed point tension After analysis, the tension fluctuation value of the left fixed point is obtained And the right fixed point tension fluctuation value And further analysis to obtain the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient The tension of the fixed point can be evaluated more intuitively, and the working status of the skin stretcher can be understood in real time, which is of great significance for optimizing the use of the skin stretcher.

[0071] Distractor adjustment evaluation module, used to evaluate the coefficient of the left fixed point position and the right fixed point position evaluation coefficient and the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient Analyze and calculate the left fixed point comprehensive index and right fixed point composite index Skin stretcher abnormality index Skin stretcher abnormality index Evaluate the abnormal working state of the skin stretcher and issue a corresponding skin stretcher adjustment warning. It includes a fixed point comprehensive analysis unit and a stretcher adjustment warning unit. The fixed point comprehensive analysis unit evaluates the left fixed point position coefficient from the image analysis module. and the right fixed point position evaluation coefficient and the left fixed point tension evaluation coefficient from the tension analysis module and right fixed point tension evaluation coefficient Analyze and obtain the left fixed point comprehensive index and right fixed point composite index The distractor adjustment warning unit adjusts the left fixed point comprehensive index from the fixed point comprehensive analysis unit and right fixed point composite index Skin stretcher abnormality index Skin stretcher abnormality index The abnormal working status of the skin stretcher is evaluated, and a corresponding skin stretcher adjustment warning is issued.

[0072] Get the left fixed point position evaluation coefficient from the image analysis module and the right fixed point position evaluation coefficient And obtain the left fixed point tension evaluation coefficient from the tension analysis module and right fixed point tension evaluation coefficient After linear normalization, the left fixed point comprehensive index is calculated and right fixed point composite index

[0073]

[0074] The corresponding left fixed point comprehensive index and right fixed point composite index The calculation formula is as above.

[0075] Get the left fixed point composite index and right fixed point composite index After linear normalization, the skin stretcher abnormality index was calculated.

[0076]

[0077] Corresponding skin stretcher abnormality index The calculation formula is as above.

[0078] Obtaining the Skin Distractor Abnormality Index Skin stretcher abnormality index Evaluate the abnormal working status of the skin stretcher and select the corresponding skin stretcher adjustment warning processing strategy, specifically:

[0079] when When the skin stretcher is turned on, it will be fed back that there is no abnormality in the operation of the skin stretcher. No measures need to be taken and monitoring should be continued to prevent any abnormality.

[0080] when When the skin stretcher is in a low-level abnormal state, the tension at the fixed point is abnormal or the position is offset, a secondary skin stretcher adjustment warning command is issued to the outside, an adjustment time is scheduled for the user, and the skin stretcher is adjusted.

[0081] when When the skin stretcher is in a high-level abnormal state, the tension at the fixed point is abnormal and the position is offset, a first-level skin stretcher adjustment warning command is issued, and the current skin stretcher needs to be adjusted immediately to eliminate safety hazards.

[0082] in, Refers to the abnormal index of all skin stretchers of all users The mean of .

[0083] By evaluating the coefficients for the left fixed point position and the right fixed point position evaluation coefficient and the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient Analyze and calculate the left fixed point comprehensive index and right fixed point composite index Skin stretcher abnormality index Skin stretcher abnormality index Evaluating the abnormal working status of the skin stretcher and issuing corresponding skin stretcher adjustment warnings can fully reflect the comprehensive performance of the fixed point in terms of position and tension, provide a more comprehensive understanding of the working conditions of the skin stretcher, and quantitatively evaluate the abnormal working status of the skin stretcher, which will help to promptly discover and deal with potential problems and avoid further deterioration of the problems.

[0084] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0085] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An orthopedic surgery recovery system based on a skin stretcher, characterized in that: include: Image analysis module, used to extract features from the skin stretcher image uploaded to the orthopedic surgery recovery system, and obtain the position coordinates of the left fixed point on the skin stretcher image in the coordinate system and the position coordinates of the right fixed point in the coordinate system After further analysis, the left fixed point position evaluation coefficient is obtained and the right fixed point position evaluation coefficient It includes an image uploading unit, a feature extraction unit, a fixed point position analysis unit and a fixed point position evaluation unit; The tension analysis module is used to collect the tension of the fixed point on the skin tensioner and obtain the tension of the left fixed point. and right fixed point tension After analysis, the tension fluctuation value of the left fixed point is obtained And the right fixed point tension fluctuation value And further analysis to obtain the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient It includes a tension acquisition unit, a fixed point tension analysis unit and a fixed point tension evaluation unit; Distractor adjustment evaluation module, used to evaluate the coefficient of the left fixed point position and the right fixed point position evaluation coefficient and the left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient Analyze and calculate the left fixed point comprehensive index and right fixed point composite index Skin stretcher abnormality index Skin stretcher abnormality index Evaluate the abnormal working status of the skin stretcher and issue corresponding warnings for skin stretcher adjustment; It includes a fixed point comprehensive analysis unit and a distractor adjustment early warning unit.

2. The orthopedic recovery system based on skin stretcher according to claim 1, characterized in that: Get the position coordinates of the left fixed point of each skin stretcher image and the position coordinates of the right fixed point After linear normalization, the x-direction displacement of the left fixed point of each skin stretcher image is calculated. and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement in, Indicates the time sequence number of the image. k represents the sequential number of the fixed point, k=1, 2, ..., t, s and t are positive integers, x represents the x direction, and y represents the y direction.

3. The bone surgery recovery system based on skin stretcher according to claim 2, characterized in that: Get the x-direction displacement of the left fixed point and y-direction displacement and the x-direction displacement of the right fixed point and y-direction displacement After linear normalization, the left fixed point position evaluation coefficient is calculated and the right fixed point position evaluation coefficient Corresponding left fixed point position evaluation coefficient and the right fixed point position evaluation coefficient The calculation formula is as above.

4. The orthopedic surgery recovery system based on the skin stretcher according to claim 1, characterized in that: Get the tension of the left fixed point and right fixed point tension After linear normalization, the tension fluctuation value of the left fixed point is calculated And the right fixed point tension fluctuation value Corresponding left fixed point tension fluctuation value And the right fixed point tension fluctuation value The calculation formula is as above.

5. The orthopedic recovery system based on skin stretcher according to claim 4, characterized in that: Get the tension fluctuation value of the left fixed point And the right fixed point tension fluctuation value After linear normalization, the left fixed point tension evaluation coefficient is calculated: and right fixed point tension evaluation coefficient Corresponding left fixed point tension evaluation coefficient and right fixed point tension evaluation coefficient The calculation formula is as above.

6. The bone surgery recovery system based on skin stretcher according to claim 5, characterized in that: Get the left fixed point position evaluation coefficient from the image analysis module and the right fixed point position evaluation coefficient And obtain the left fixed point tension evaluation coefficient from the tension analysis module and right fixed point tension evaluation coefficient After linear normalization, the left fixed point comprehensive index is calculated and right fixed point composite index The corresponding left fixed point comprehensive index and right fixed point composite index The calculation formula is as above.

7. The bone surgery recovery system based on skin stretcher according to claim 6, characterized in that: Get the left fixed point composite index and right fixed point composite index After linear normalization, the skin stretcher abnormality index was calculated. Corresponding skin stretcher abnormality index The calculation formula is as above.

8. The bone surgery recovery system based on skin stretcher according to claim 7, characterized in that: Obtaining the Skin Distractor Abnormality Index Skin stretcher abnormality index Evaluate the abnormal working status of the skin stretcher and select the corresponding skin stretcher adjustment warning processing strategy, specifically: when When the skin stretcher is turned on, it is fed back that there is no abnormality in the operation of the skin stretcher and no measures need to be taken; when When the skin stretcher is in a low-level abnormal state, the tension of the fixed point is abnormal or the position is offset, and a warning command for adjusting the secondary skin stretcher is issued; when When the skin stretcher is in a high-level abnormal state, the tension of the fixed point is abnormal and the position is offset, and a first-level skin stretcher adjustment warning command is issued; in, Refers to the abnormal index of all skin stretchers of all users The mean of .

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