Verification method and device for elbow joint hinge type external fixation support and storage medium

Abstract

The invention provides a verification method and device for an elbow joint hinge type external fixation support and a storage medium. The method comprises the steps that a normal elbow joint model and a hinge type external fixation support model are established; the hinge type external fixing support model is assembled on the normal elbow joint model, and an assembly model is obtained; performing a simulation motion test on the assembly model, and collecting test data; setting a preset standard range of elbow joint physiological activities; performing comparative analysis based on the test data and a standard range, and judging whether the hinge type external fixation support meets the requirements of elbow joint physiological activities or not; according to the invention, the normal elbow joint model and the hinge type external fixation support model are established, and the simulation motion test and the intelligent comparative analysis system are combined, so that the accurate verification of the elbow joint hinge type external fixation support is realized. The method not only improves the accuracy and efficiency of verification, but also greatly reduces the subjectivity and errors in a traditional verification method.

Description

Technical Field

[0001] The present invention relates to the technical field of external fixators, and in particular to a verification method, device and storage medium for an elbow joint hinged external fixator. Background Art

[0002] The design concept of a hinged external fixator is based on the hinge-like nature of the humero-ulnar joint. It primarily consists of two key connecting devices: a set of nails and a connecting rod for bone fixation, and a connector connecting these two components. This external fixator, through the connection of the nails to the bone, provides necessary external support and stability to the elbow joint, effectively preventing excessive elbow movement and thus reducing stress in the injured area. The hinged portion of the fixator provides a limited range of motion for the elbow joint while also appropriately restricting its movement, allowing the patient to gradually regain motor function during rehabilitation.

[0003] In the current domestic medical field, the actual application effects of hinged external fixators have not been fully verified and standardized. Although the design concept of the bracket is advanced and the structure is relatively simple and practical, its effectiveness and safety in actual clinical applications still need to be strictly scientifically verified. At present, there are many different types of hinged external fixators on the market, but there are differences in their specific design parameters, material selection, and usage methods, which leads to different effects in clinical applications. Therefore, in order to ensure that patients can get the best treatment effect, it is particularly important to verify and standardize the use of hinged external fixators. Summary of the Invention

[0004] The present invention aims to at least solve the technical problem in the prior art that there is no need to fully verify the actual application effect of the hinged external fixator, and in particular innovatively proposes a verification method, device and storage medium for the hinged external fixator of the elbow joint.

[0005] In order to achieve the above-mentioned object of the present invention, the present invention provides a verification method for an elbow joint hinged external fixator, the method comprising:

[0006] S1. Establish a normal elbow joint model and a hinged external fixator model;

[0007] S2. Assembling the hinged external fixator model onto the normal elbow joint model to obtain an assembled model;

[0008] S3. Conduct simulated motion tests on the assembly model and collect test data;

[0009] S4. Set the standard range of elbow joint physiological activities;

[0010] S5. Comparing and analyzing the test data and the standard range to determine whether the hinged external fixator meets the requirements of elbow joint physiological activities;

[0011] If satisfied, the verification is passed;

[0012] If not, the hinged external fixator is adjusted and steps S1 to S4 are performed again until the verification is passed.

[0013] In another aspect, the present invention further provides a computer device comprising:

[0014] processor;

[0015] a memory for storing processor-executable instructions;

[0016] Wherein, the processor is configured to implement the verification method of the elbow joint hinged external fixator when executing the executable instructions.

[0017] In another aspect, the present invention further provides a computer-readable storage medium comprising:

[0018] a memory having a computer program stored thereon;

[0019] The processor is configured to execute the program in the memory to implement the verification method of the elbow joint hinged external fixator.

[0020] The present invention achieves precise verification of hinged external fixators for elbow joints by establishing a normal elbow joint model and a hinged external fixator model, combined with simulated motion testing and an intelligent comparative analysis system. This method not only improves verification accuracy and efficiency, but also significantly reduces the subjectivity and errors found in traditional verification methods. By continuously optimizing and adjusting the design of the hinged external fixator to better align with the physiological characteristics of the human elbow joint, the adaptability and comfort of the fixator are improved, providing patients with better treatment outcomes and a more comfortable recovery experience.

[0021] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments with reference to the accompanying drawings, in which:

[0023] Figure 1 It is a flow chart of a verification method of an elbow joint hinged external fixator according to the present invention;

[0024] Figure 2 is a flow chart of constructing a normal elbow joint model according to the present invention;

[0025] Figure 3 This is a schematic diagram of the Mimics window after the CT image data is imported into the present invention;

[0026] Figure 4 is a schematic diagram of the initial mask of the elbow joint of the present invention;

[0027] Figure 5 is a masked schematic diagram of the elbow joint of the present invention;

[0028] Figure 6 is a masked schematic diagram of the radius of the present invention;

[0029] Figure 7 is a schematic diagram of the initial ulna mask before editing of the present invention;

[0030] Figure 8 is a schematic diagram of the ulna mask after editing according to the present invention;

[0031] Figure 9 is a schematic diagram of a normal elbow joint model of the present invention;

[0032] Figure 10 This is a schematic diagram of the boundary adjustment condition setting of the normal elbow joint model of the present invention;

[0033] Figure 11 This is a schematic diagram of the structure for verifying the inward and outward force working conditions of the assembly model of the present invention;

[0034] Figure 12 This is a schematic diagram of the torsion working condition verification structure of the assembly model of the present invention;

[0035] Figure 13 It is a schematic diagram of the axial working condition verification structure of the assembly model of the present invention. DETAILED DESCRIPTION

[0036] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0037] Example 1

[0038] like Figure 1 As shown, a verification method for an elbow joint hinged external fixator, the method comprising:

[0039] S1. Establish a normal elbow joint model and a hinged external fixator model;

[0040] It should be noted that if Figure 2 As shown, in step S1, when building a normal elbow joint model and a hinged external fixator model, 3D modeling software such as SolidWorks or CATIA can be used to construct a high-precision normal elbow joint model based on the anatomical structure and physiological characteristics of the human elbow joint. Simultaneously, a corresponding hinged external fixator model is constructed based on the design drawings. During the modeling process, it is important to ensure the accuracy and completeness of the models to facilitate subsequent simulated motion testing and intelligent comparative analysis.

[0041] S2. Assembling the hinged external fixator model onto the normal elbow joint model to obtain an assembled model;

[0042] It should be noted that when assembling the hinged external fixator model onto the normal elbow joint model in step S2, virtual assembly technology can be used to precisely position the fixator model on the elbow joint model, ensuring that the fixator fits snugly with all parts of the elbow joint. During the assembly process, attention should be paid to the position, angle, and fixing method of the fixator to ensure that the assembled model conforms to actual usage. Furthermore, necessary adjustments and optimizations should be made to the assembled model to improve the accuracy and reliability of the simulated motion test.

[0043] S3. Conduct simulated motion tests on the assembly model and collect test data;

[0044] It should be noted that when performing simulated motion testing on the assembly model in step S3, dynamic simulation software, such as ADAMS, Simulink, etc., can be used to simulate various working conditions such as inversion, eversion, rotation and axial displacement on the assembly model. By setting different test parameters and conditions, the force conditions and motion trajectories of the elbow joint under different motion states can be simulated. During the test process, it is necessary to collect test data in real time, including key parameters such as joint angle changes, rotation angle characteristics, axial displacement characteristics, etc., for subsequent intelligent comparative analysis. At the same time, the test data also needs to be preprocessed and sorted to improve the quality and availability of the data.

[0045] S4. Set the standard range of elbow joint physiological activities;

[0046] It should be noted that when setting the preset standard range of elbow joint physiological activities in step S4, it is necessary to determine the reasonable range of key parameters such as the angle change range, rotation angle characteristics, and axial displacement characteristics of the normal elbow joint under various motion states based on a large amount of medical research and clinical data. These standard ranges will serve as the benchmark for subsequent intelligent comparative analysis to evaluate whether the performance of the hinged external fixator meets the physiological activity characteristics of the human elbow joint. When setting the standard range, it is necessary to fully consider individual differences and the influence of different age groups to ensure the accuracy and applicability of the standard range. At the same time, the standard range needs to be regularly updated and optimized to reflect the latest medical research results and clinical practice experience.

[0047] S5. Comparing and analyzing the test data and the standard range to determine whether the hinged external fixator meets the requirements of elbow joint physiological activities;

[0048] If satisfied, the verification is passed;

[0049] If not, the hinged external fixator is adjusted and steps S1 to S4 are performed again until the verification is passed.

[0050] It should be noted that in step S5, when performing comparative analysis based on the test data and the standard range, advanced data analysis algorithms and intelligent comparison techniques can be used to conduct a comprehensive and objective analysis of the collected test data. By comparing key parameters such as joint angle changes, rotation angle characteristics, and axial displacement characteristics with the standard range, it is possible to accurately assess whether the performance of the hinged external fixator conforms to the physiological characteristics of the human elbow joint. During the comparative analysis process, attention must be paid to the accuracy and consistency of the data to avoid errors and deviations. Furthermore, detailed documentation and interpretation of the analysis results are required to facilitate subsequent adjustment and optimization of the fixator.

[0051] In summary, this embodiment first uses three-dimensional modeling software and virtual assembly technology to construct a normal elbow joint model and a hinged external fixator model, and achieves precise assembly of the bracket. The assembly model is tested with simulated motion under various working conditions using dynamic simulation software, and a wealth of test data is collected. Then, based on medical research and clinical data, a standard range of preset elbow joint physiological activities is set as a benchmark for intelligent comparative analysis. Finally, using advanced data analysis algorithms and intelligent comparison technology, a comprehensive and objective comparative analysis of the test data and the standard range is performed to accurately evaluate whether the performance of the hinged external fixator conforms to the physiological activity characteristics of the human elbow joint. This process not only improves the accuracy and efficiency of verification, but also provides strong support for the optimal design and adjustment of the bracket. Through continuous iteration and optimization, the hinged external fixator can be made more consistent with the physiological activity characteristics of the human elbow joint, providing patients with better treatment effects and rehabilitation experience.

[0052] As an optional embodiment of the present invention, optionally, establishing a normal elbow joint model in step S1 includes:

[0053] S101, acquiring elbow joint CT image data;

[0054] It should be noted that when acquiring elbow joint CT image data in step S101, high-quality CT image data can be acquired from medical imaging equipment. These data should contain detailed anatomical structure information of the elbow joint for subsequent three-dimensional modeling. When acquiring image data, it is necessary to ensure that indicators such as image resolution, contrast, and noise level meet the modeling requirements. At the same time, the image data also needs to be preprocessed, such as denoising, contrast enhancement, etc., to improve the accuracy and precision of the modeling. In the process of acquiring and processing image data, it is necessary to strictly abide by relevant medical privacy protection laws and regulations to ensure that the patient's personal information is properly protected.

[0055] S102, constructing a three-dimensional model of the elbow joint using three-dimensional modeling software based on the CT image data;

[0056] It should be noted that when constructing the three-dimensional model of the elbow joint based on the CT image data in step S102, professional three-dimensional modeling software, such as Mimics, 3-matic, etc., can be used. These software have powerful image processing and three-dimensional modeling functions, and can automatically or semi-automatically construct a high-precision three-dimensional model of the elbow joint based on the grayscale information and anatomical structure characteristics in the CT image data. During the modeling process, attention should be paid to the accuracy of the model's geometry, surface quality, and internal structure to ensure the effectiveness of subsequent analysis and verification. At the same time, the model should also be appropriately simplified and optimized to improve computational efficiency and accuracy. Through this step, a three-dimensional model that is highly similar to the actual elbow joint can be obtained, providing strong support for subsequent analysis and verification.

[0057] S103, performing three-dimensional reconstruction on the three-dimensional model;

[0058] It should be noted that when the three-dimensional model is reconstructed in step S103, the main purpose is to further optimize the geometric shape and details of the model to ensure that it more accurately reflects the anatomical structure and physiological characteristics of the actual elbow joint. This step usually involves smoothing the surface of the model to eliminate flaws and defects that may occur during the modeling process. At the same time, the internal structure of the model also needs to be carefully adjusted and optimized to ensure that it is highly consistent with the internal structure of the actual elbow joint. During the three-dimensional reconstruction process, it is necessary to make full use of the various tools and functions provided by the three-dimensional modeling software, such as mesh optimization, surface smoothing, volume filling, etc., to obtain a high-quality, high-precision three-dimensional model of the elbow joint. Through this step, the accuracy and reliability of the model can be further improved, providing more powerful support for subsequent analysis and verification.

[0059] S104: Optimize the three-dimensional reconstructed elbow joint model to obtain a normal elbow joint model.

[0060] It should be noted that when optimizing the three-dimensional model of the elbow joint after three-dimensional reconstruction in step S104, the main focus is on the accuracy, integrity and computational efficiency of the model. The optimization process includes steps such as geometric correction of the model, mesh refinement, and removal of redundant data. These operations are intended to ensure that the model can be efficiently used for subsequent simulated motion tests and intelligent comparative analysis while maintaining high precision and complete anatomical structure. Through optimization, an accurate and efficient normal elbow joint model can be obtained, providing a solid foundation for the subsequent verification process.

[0061] Constructing a normal elbow joint model:

[0062] (1) Import image data: Import the upper limb images acquired by the CT device into Mimics 21.0 and perform image preprocessing, including denoising and contrast adjustment, to facilitate subsequent processing. The Mimics window information is shown in Figure 3.

[0063] (2) Threshold Segmentation: The "Threshold Segmentation" command can distinguish different tissue structures based on the Hu value of the CT image. The brightness of bones is higher than that of soft tissue. By adjusting the contour threshold to a reasonable range, the corresponding bones can be filtered out. In this project, the bone threshold is set between 226 and 3071 Hu, thereby separating the elbow joint from the entire dataset.

[0064] (3) Region growing: The “region growing” command can extract all adjacent pixels that meet the set threshold range, and iteratively add or remove pixel information layer by layer to obtain the following: Figure 4 Initial mask of the elbow joint shown.

[0065] (4) Separate Mask: The "Separate Mask" command is to split the created mask into independent tissues and place them separately in the newly created mask, in preparation for the next step of editing and optimizing the elbow joint. Figure 5 and 6 Shown is the operation of separating the radial mask.

[0066] (5) Mask editing: After "threshold segmentation" and "region growing", the initial elbow joint has some details such as small holes and pixel connections. Therefore, the multi-layer editing command is used to add or remove pixels in the mask area layer by layer to improve the accuracy and quality of the mask. As for holes, the "fill holes" command can also be used to automatically identify and fill the holes inside the mask. The edited ulna mask is shown in Figure 7 and 8 .

[0067] (6) 3D reconstruction: After completing the above operations, select the "3D Calculation" function, and Mimics 21.0 will generate a 3D model composed of triangular facets. The surface of the model is relatively rough. To ensure that the generated model meets the requirements of subsequent simulations, the model needs to be smoothed. The 3D surface model of the elbow joint is as follows: Figure 9 Finally, export the model in binary STL format.

[0068] As an optional embodiment of the present invention, optionally, in step S2, assembling the hinged external fixator model onto the normal elbow joint model includes:

[0069] S201, setting the material of the hinged external fixator model, and adjusting the size of the hinged external fixator model based on the size and shape of the normal elbow joint model, and aligning the normal elbow joint model with the hinged external fixator model;

[0070] It should be noted that when setting the material of the hinged external fixator model in step S201, suitable materials such as stainless steel, titanium alloy, etc. can be selected according to the actual use needs and design requirements of the stent. These materials have good biocompatibility, corrosion resistance and mechanical properties, and can meet the long-term use requirements of the stent in the human body. At the same time, it is also necessary to accurately adjust the size of the stent model based on the size and shape of the normal elbow joint model to ensure that the stent can fit closely to the various parts of the elbow joint. During the adjustment process, tools such as scaling, translation and rotation in the three-dimensional modeling software can be used to perform fine operations on the stent model. Finally, the adjusted normal elbow joint model and the hinged external fixator model are aligned to ensure that the stent can be accurately placed on the elbow joint during the assembly process.

[0071] S202, assembling the hinged external fixator model onto the normal elbow joint model using assembly software;

[0072] It should be noted that in step S202, when assembling the hinged external fixator model onto the normal elbow joint model using assembly software, virtual assembly technology can be employed to seamlessly connect the fixator model and the elbow joint model using a predefined assembly path and positioning method. During the assembly process, close attention must be paid to the contact surface between the fixator and the elbow joint to ensure that the fixator can stably support the elbow joint and maintain good stability and reliability under various motion conditions. Furthermore, the assembled model must be thoroughly inspected and verified to ensure that the assembly quality meets design requirements.

[0073] S203: Optimize the assembled model to obtain an assembled model.

[0074] It should be noted that when optimizing the assembled model in step S203, the main focus is on the accuracy, stability, and computational efficiency of the assembly. The optimization process includes adjusting the position, angle, and fixing method of the bracket to ensure that the bracket fits tightly and provides good support to the elbow joint. At the same time, the geometric shape, surface quality, and internal structure of the assembly model need to be carefully adjusted and optimized to improve the accuracy and reliability of the model. In addition, various tools and functions in the assembly software, such as interference checking and assembly path optimization, can be used to comprehensively simulate and test the assembly process to ensure that the assembly quality meets the design requirements.

[0075] As an optional embodiment of the present invention, optionally, performing a simulated motion test on the assembly model and collecting test data in step S3 includes:

[0076] S301, fixing the six degrees of freedom of the proximal humerus and the medial epicondyle in the normal elbow joint model, applying varus force and valgus force to the distal end of the ulna, and obtaining test data of varus and valgus joint angle changes;

[0077] S302, fixing the six degrees of freedom of the proximal humerus in the normal elbow joint model, applying torque to the distal ulna, and obtaining test data of changes in joint rotation angles;

[0078] S303: Fix the six degrees of freedom of the proximal humerus in the normal elbow joint model, apply an axial tensile load or an axial compressive load to the distal ulna, and obtain test data of the joint axial displacement change.

[0079] like Figure 10 、 11 , 12 and 13, based on the validation of the normal elbow joint model, in order to explore the mechanical properties of different hinged external fixator configurations, the elbow joint model with hinged external fixator at flexion angles of 0°, 45° and 90° was simulated under three types of working conditions. Load and boundary conditions are shown in Figure 10 、 11 , 12 and 13:

[0080] (1) Varus and valgus force conditions: constrain the six degrees of freedom of the proximal humerus and the medial epicondyle, and apply 20N varus and valgus forces to the distal ulna;

[0081] (2) Torsion condition: constrain the six degrees of freedom of the proximal humerus and apply a torque of 4 N / M to the distal ulna;

[0082] (3) Axial working condition: constrain the six degrees of freedom of the proximal humerus and apply an axial tensile load of 100 N or an axial compressive load of 50 N to the distal ulna.

[0083] To ensure the accuracy of the finite element results for the assembly model, a mesh convergence analysis was performed on the hinged external fixator. The detailed meshing scheme is shown in Table 1.1. The mesh convergence was evaluated by comparing the difference between the total displacement and total stress response results of the elbow joint at 0° flexion and a 20N varus force. Table 1.2 shows the number of nodes, number of elements, displacement and stress response results, and their change rates for the hinged external fixator. The displacement and stress change rates of the hinged external fixator were 0.07% and 4.06%, respectively, both less than 5%.

[0084]

[0085] The finite element analysis results of the normal elbow joint model and the hinged external fixator model were performed when subjected to 20N valgus and valgus forces at flexion angles of 0°, 45°, and 90°, and 4N / M torque in the neutral position.

[0086] Without restraint on the distal ulna, the ulna's stress point, the ulnar axis, and the flexion-extension rotational axis are not aligned, causing the ulna to twist under load. Furthermore, ligament tension and the support and traction forces of the external fixator system restrict ulnar torsion. Therefore, the humeral support structure in the external fixator is a factor that influences ulnar motion and elbow stability.

[0087]

[0088]

[0089] Based on the finite element analysis results in Tables 1.2 and 1.3, this embodiment further analyzes the mechanical performance and stability of the hinged external fixator under different flexion angles and load conditions. The data in the tables show that the peak stresses in the fixator, pins, and clamps vary with increasing flexion angle, reflecting the mechanical demands placed on the external fixator in different elbow postures. Furthermore, system stiffness, a key indicator of the external fixator's support capacity, also varies with flexion angle and load conditions.

[0090] Under varus loading, the brace stress peak reached 202.01 MPa at 0° flexion, while the system stiffness was 93.788 N / mm. While the peak stress gradually decreased with increasing flexion angle, the system stiffness initially increased and then decreased. This indicates that at lower flexion angles, the external fixator must withstand greater stress to maintain elbow stability. While stress decreases with increasing flexion angle, the overall system stiffness also changes, necessitating comprehensive consideration of the design and material selection of the external fixator.

[0091] Under valgus load, the stress peak and system stiffness of the bracket also showed similar trends. It is worth noting that at a flexion angle of 90°, the system stiffness under valgus load was relatively low, which means that the support capacity of the external fixator is weak in this posture, and special attention should be paid to preventing excessive valgus of the elbow joint.

[0092] Furthermore, intercartilage contact pressure, a key indicator for assessing elbow stability and comfort, varies with flexion angles and load conditions. The data in the table show that intercartilage contact pressure increases with increasing flexion angle, posing a risk of damage to the cartilage tissue of the elbow. Therefore, when designing a hinged external fixator, its impact on the elbow cartilage tissue must be fully considered, and appropriate measures must be taken to reduce contact pressure and improve elbow stability and comfort.

[0093] In summary, by analyzing the finite element results of a normal elbow joint model and a hinged external fixator model under different flexion angles and load conditions, this embodiment can provide a deeper understanding of the mechanical properties and stability characteristics of the external fixator. This provides strong data support for further optimizing the design of the hinged external fixator. Based on these analysis results, targeted improvements can be made to the structure, materials, and fixation method of the bracket to improve its adaptability and stability under different usage conditions. For example, to address the problems of bracket stress concentration and reduced system stiffness at large flexion angles, consideration can be given to using higher-strength materials or optimizing the bracket geometry to disperse stress and enhance the bracket's support capacity. In addition, the stability and flexibility of the bracket can be improved by adjusting the layout and number of fixation pins and clamps, as well as optimizing the design of the rotation axis and eccentric connecting rod, thereby better adapting to the complex movement requirements of the elbow joint. These improvement measures not only help to improve the clinical effectiveness of the hinged external fixator, but also provide patients with a more comfortable and safe rehabilitation experience.

[0094] As an optional embodiment of the present invention, optionally, performing comparative analysis based on the test data and the standard range in step S5 includes:

[0095] S501, constructing an intelligent comparative analysis system, wherein the intelligent comparative analysis system integrates a data analysis algorithm and a biomechanical model;

[0096] It's important to note that when building an intelligent comparative analysis system, we can fully leverage advanced computer and artificial intelligence technologies, such as machine learning and deep learning. These technologies can extract valuable information and features from large amounts of test data, providing strong support for comparative analysis. Furthermore, biomechanical models can be combined to more accurately and deeply simulate and analyze the forces and motion trajectories of the elbow joint under different motion states. This step allows us to build an efficient, accurate, and reliable intelligent comparative analysis system, providing a powerful tool for subsequent analysis and verification.

[0097] S502, preprocessing the test data;

[0098] It should be noted that when preprocessing the test data in step S502, the primary focus is on data integrity, accuracy, and consistency. The preprocessing process includes steps such as data cleaning, denoising, and missing value filling. These operations are designed to eliminate outliers and noise in the data and improve data reliability and usability. At the same time, the test data also needs to be formatted and standardized to ensure that the data can seamlessly interface with the algorithms and models in the intelligent comparative analysis system. Through preprocessing, a high-quality, standardized test data set can be obtained, providing a solid foundation for subsequent intelligent comparative analysis.

[0099] S503, extracting characteristic data of the test data;

[0100] It should be noted that when extracting the characteristic data of the test data in step S503, the focus is on key parameters that can reflect the physiological activity characteristics of the elbow joint and the performance of the hinged external fixator. These characteristic data include characteristic values ​​of joint angle changes, statistical quantities of rotation angle characteristics, extreme values ​​of axial displacement characteristics, etc. By extracting these characteristic data, we can gain a deeper understanding of the stress conditions and motion trajectory of the elbow joint under different motion states, as well as the supporting and restricting effects of the bracket on the elbow joint. At the same time, these characteristic data can also serve as input for the intelligent comparative analysis system, providing strong support for subsequent comparative analysis. In the process of extracting characteristic data, it is necessary to fully utilize data analysis algorithms and intelligent comparison technologies to ensure that the extracted characteristic data is representative, accurate, and reliable.

[0101] S504: Inputting the characteristic data and the standard range into the intelligent comparison and analysis system, and using the data analysis algorithm to compare and analyze the characteristic data with the standard range to determine whether the performance of the hinged external fixator during the simulation of elbow joint physiological activities meets the requirements;

[0102] If not, the non-conformity items are identified, and the hinged external fixator is adjusted based on the identified non-conformity items.

[0103] It should be noted that after the characteristic data and standard ranges are input into the intelligent comparative analysis system in step S504, the system can automatically perform a series of complex calculations and analysis tasks. It uses integrated data analysis algorithms to deeply explore and process the characteristic data to reveal its correlations and differences with the standard ranges. At the same time, combined with biomechanical models, the system can simulate the stress conditions and motion trajectories of the elbow joint under different physiological activities, thereby more accurately evaluating the performance of the hinged external fixator. During the comparative analysis process, the intelligent comparative analysis system generates a detailed comparative analysis report. This report not only includes the comparison results of the characteristic data with the standard ranges, but also includes trend charts of joint angle changes, statistical distribution of rotation angle characteristics, extreme points of axial displacement characteristics, and other information. These intuitive charts and data provide researchers with a comprehensive perspective, allowing them to gain a deeper understanding of the performance of the hinged external fixator during the simulation of elbow physiological activities.

[0104] As an optional embodiment of the present invention, optionally, the expression for extracting the characteristic data of the test data includes:

[0105] Joint angle feature extraction expression:

[0106]

[0107] in, Represents the joint angle characteristics;

[0108] Indicates the number of test points for inversion or eversion test points;

[0109] Indicates the Varus joint angle change at each test point

[0110] Indicates the The change of valgus joint angle at each test point;

[0111] Indicates the maximum value of the varus joint angle change;

[0112] Indicates the maximum value of the valgus joint angle change;

[0113] Indicates the The weight coefficient associated with each test point is determined based on the importance or reliability of the test point;

[0114] Rotation angle characteristic expression:

[0115]

[0116] in, Represents the rotation angle feature;

[0117] Indicates the number of rotation test points;

[0118] Indicates in The change in joint rotation angle at each test point;

[0119] Indicates the maximum value of the joint rotation angle change;

[0120] represents the standard deviation of the rotation angle change;

[0121] represents the average value of the rotation angle change;

[0122] Represents the weight coefficient related to the rotation angle feature;

[0123] Characteristic expression of axial displacement:

[0124]

[0125] in, Indicates the axial displacement characteristics;

[0126] Indicates the number of axial displacement test points;

[0127] Indicates in The change in joint axial displacement at each test point;

[0128] It represents the average value of the axial displacement change;

[0129] represents the standard deviation of the axial displacement variation;

[0130] Indicates taking the maximum value;

[0131] Indicates taking the minimum value;

[0132] Indicates the maximum range of axial displacement change;

[0133] Represents the weight coefficient associated with the axial displacement feature.

[0134] As an optional embodiment of the present invention, optionally, in step S504, the expression for comparing and analyzing the characteristic data with the standard range using the data analysis algorithm is:

[0135]

[0136]

[0137]

[0138]

[0139] in, It represents the performance index of the hinged external fixator of the elbow joint;

[0140] 、 and Both represent weight coefficients;

[0141] represents the angle performance index;

[0142] represents the rotation performance index;

[0143] represents the displacement performance index;

[0144] Indicates the number of test points for inversion or eversion test points;

[0145] Indicates the Joint angle eigenvalues ​​of test points;

[0146] Indicates the The standard joint angle value of each test point;

[0147] Indicates the The range of joint angle variation allowed for each test point;

[0148] Represents the adjustment parameter used to control the degree of penalty for angle deviation;

[0149] Indicates the The weight coefficient of the joint angle eigenvalue of each test point;

[0150] Indicates the number of rotation test points;

[0151] Indicates the The rotation angle characteristic value of each test point;

[0152] Indicates the The standard rotation angle value of each test point;

[0153] Indicates the standard deviation of the rotation angle feature;

[0154] Indicates the The weight coefficient of the rotation angle feature of each test point;

[0155] Indicates taking the maximum absolute value;

[0156] Indicates the The axial displacement characteristic value of each test point;

[0157] Indicates the Standard axial displacement value of each test point;

[0158] Indicates the allowable range of axial displacement;

[0159] Represents the adjustment parameter used to control the degree of penalty for displacement deviation;

[0160] Represents the weight coefficient of the axial displacement feature of the test point.

[0161] As an optional embodiment of the present invention, optionally, if there is no compliance in step S504, identifying the non-compliant items includes:

[0162] S5041, respectively setting the angle performance index threshold, the rotation performance index threshold, and the displacement performance index threshold;

[0163] It should be noted that the angle performance index threshold, rotation performance index threshold, and displacement performance index threshold set in step S5041 are based on extensive experimental data and expert experience, and are used to determine whether the hinged external fixator meets the performance standards in various aspects. If a performance index falls below the corresponding threshold, it is considered non-compliant in that aspect.

[0164] S5042: Compare the angle performance index, rotation performance index, and displacement performance index with the corresponding angle performance index threshold, rotation performance index threshold, and displacement performance index threshold, respectively;

[0165] If the angle performance index is lower than the angle performance index threshold, it is identified that the angle performance does not meet the requirements;

[0166] If the rotation performance index value is lower than the rotation performance index threshold, it is determined that the rotation performance does not meet the requirements;

[0167] If the displacement performance index is lower than the displacement performance index threshold, it is identified that the displacement performance does not meet the requirements.

[0168] It should be noted that comparing each performance index with the corresponding threshold in step S5042 is a key step in determining whether the performance of the hinged external fixator meets the requirements. Through comparison, it is possible to clearly identify which performance aspects of the bracket are deficient, thereby providing clear guidance for subsequent adjustments and improvements. After identifying the non-conformities, the system can automatically generate a detailed non-conformity report. The report will list all performance indicators that do not meet the requirements and the gap between them and the corresponding thresholds, thereby helping researchers to quickly locate the problem. Based on this report, researchers can make corresponding adjustments to the hinged external fixator, such as optimizing the structural design of the bracket, improving material selection, or adjusting the rotation range of the joint, in order to improve the overall performance of the bracket. After the adjustment is completed, retesting and verification can be carried out to ensure that the performance of the bracket meets the design requirements. In this way, the performance of the hinged external fixator of the elbow joint can be continuously improved and optimized, providing a more effective treatment tool for the rehabilitation of patients with elbow injuries.

[0169] Example 2

[0170] A computer device comprising:

[0171] processor;

[0172] a memory for storing processor-executable instructions;

[0173] The processor is configured to implement the verification method of the elbow joint hinged external fixator in Example 1 when executing the executable instructions.

[0174] It should be noted that the computer device includes: a processor, a memory, and may further include one or more of a multimedia component, an input / output (I / O) interface, and a communication component.

[0175] The processor is used to control the overall operation of the computer device to complete all or part of the steps in the above-mentioned big data-based factory equipment automated testing method.

[0176] The memory is used to store various types of data to support the operation of the computer device. Such data may include, for example, instructions for any application or method operating on the computer device, as well as application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0177] The multimedia component may include a screen and an audio component, wherein the screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals; for example, the audio component may include a microphone for receiving external audio signals, and the received audio signals may be further stored in a memory or sent through a communication component; the audio component also includes at least one speaker for outputting audio signals.

[0178] The I / O interface provides an interface between the processor and other interface modules, such as a keyboard, a mouse, buttons, etc. These buttons can be virtual buttons or physical buttons.

[0179] The communication component is used for wired or wireless communication between the computer device and other devices; wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G or 5G, or one or a combination of them, so the corresponding communication component may include: Wi-Fi module, Bluetooth module, NFC module, mobile phone communication module.

[0180] As a preferred solution of this embodiment, the computer device can be implemented by one or more application-specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned big data-based factory equipment automated testing method.

[0181] Example 3

[0182] A computer-readable storage medium comprising:

[0183] a memory having a computer program stored thereon;

[0184] The processor is configured to execute the program in the memory to implement the verification method of the elbow joint hinged external fixator in Example 1.

[0185] It should be noted that the electronic device according to the embodiment of the present disclosure includes a processor and a memory for storing processor executable instructions, wherein the processor is configured to implement any of the aforementioned methods for verifying an elbow joint hinged external fixator when executing the executable instructions.

[0186] It should be noted that the number of processors can be one or more. Furthermore, the electronic device in the embodiments of the present disclosure may also include an input device and an output device. The processor, memory, input device, and output device may be connected via a bus or other means, which are not specifically limited here.

[0187] 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 verification method for a hinged elbow external fixator according to the present disclosure. The processor executes the software programs or modules stored in the memory to perform various functional applications and data processing in the electronic device.

[0188] The input device can be used to receive input numbers or signals. The signals can be key signals related to user settings and function control of the device / terminal / server. The output device can include a display device such as a display screen.

[0189] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and alterations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A verification method for an elbow joint hinged external fixator, characterized in that: The method comprises: S1. Establish a normal elbow joint model and a hinged external fixator model; S2. Assembling the hinged external fixator model onto the normal elbow joint model to obtain an assembled model; S3. Conduct simulated motion tests on the assembly model and collect test data; S4. Set the standard range of elbow joint physiological activities; S5. Comparing and analyzing the test data and the standard range to determine whether the hinged external fixator meets the requirements of elbow joint physiological activities; If satisfied, the verification is passed; If not, the hinged external fixator is adjusted and steps S1 to S4 are performed again until the verification is passed.

2. The verification method of the elbow joint hinged external fixator according to claim 1, characterized in that: Establishing a normal elbow joint model in step S1 includes: S101, acquiring elbow joint CT image data; S102, constructing a three-dimensional model of the elbow joint using three-dimensional modeling software based on the CT image data; S103, performing three-dimensional reconstruction on the three-dimensional model; S104: Optimize the three-dimensional reconstructed elbow joint model to obtain a normal elbow joint model.

3. The verification method of the elbow joint hinged external fixator according to claim 1, characterized in that: Assembling the hinged external fixator model onto the normal elbow joint model in step S2 includes: S201, setting the material of the hinged external fixator model, and adjusting the size of the hinged external fixator model based on the size and shape of the normal elbow joint model, and aligning the normal elbow joint model with the hinged external fixator model; S202, assembling the hinged external fixator model onto the normal elbow joint model using assembly software; S203: Optimize the assembled model to obtain an assembled model.

4. The verification method of the elbow joint hinged external fixator according to claim 2, characterized in that: In step S3, a simulated motion test is performed on the assembly model, and test data is collected including: S301, fixing the six degrees of freedom of the proximal humerus and the medial epicondyle in the normal elbow joint model, applying varus force and valgus force to the distal end of the ulna, and obtaining test data of varus and valgus joint angle changes; S302, fixing the six degrees of freedom of the proximal humerus in the normal elbow joint model, applying torque to the distal ulna, and obtaining test data of changes in joint rotation angles; S303: Fix the six degrees of freedom of the proximal humerus in the normal elbow joint model, apply an axial tensile load or an axial compressive load to the distal ulna, and obtain test data of the joint axial displacement change.

5. The verification method of the elbow joint hinged external fixator according to claim 1, characterized in that: The comparative analysis based on the test data and the standard range in step S5 includes: S501, constructing an intelligent comparative analysis system, wherein the intelligent comparative analysis system integrates a data analysis algorithm and a biomechanical model; S502, preprocessing the test data; S503, extracting characteristic data of the test data; S504: Inputting the characteristic data and the standard range into the intelligent comparison and analysis system, and using the data analysis algorithm to compare and analyze the characteristic data with the standard range to determine whether the performance of the hinged external fixator during the simulation of elbow joint physiological activities meets the requirements; If not, the non-conformity items are identified, and the hinged external fixator is adjusted based on the identified non-conformity items.

6. The verification method of the elbow joint hinged external fixator according to claim 5, characterized in that: The expression for extracting the characteristic data of the test data includes: Joint angle feature extraction expression: in, represents the joint angle characteristics, Indicates the number of inversion or eversion test points. Indicates the The change in varus joint angle at each test point, Indicates the The change in valgus joint angle at each test point, Indicates the maximum value of the varus joint angle change, Indicates the maximum value of the valgus joint angle change, Indicates The weight coefficient associated with each test point; Rotation angle characteristic expression: in, represents the rotation angle feature, Indicates the number of rotation test points, Indicates in The change in joint rotation angle at each test point, Indicates the maximum value of the joint rotation angle change, represents the standard deviation of the rotation angle change, represents the average value of the rotation angle change, Represents the weight coefficient related to the rotation angle feature; Characteristic expression of axial displacement: in, Represents the axial displacement characteristics, Indicates the number of axial displacement test points, Indicates in The change in joint axial displacement at each test point is: represents the average value of the axial displacement change, represents the standard deviation of the axial displacement variation, Indicates taking the maximum value, Indicates taking the minimum value, Indicates the maximum range of axial displacement change, Represents the weight coefficient associated with the axial displacement feature.

7. The verification method of the elbow joint hinged external fixator according to claim 5, characterized in that: In step S504, the expression for comparing and analyzing the characteristic data with the standard range using the data analysis algorithm is: in, Indicates the performance index of the elbow hinged external fixator, 、 and Both represent weight coefficients, represents the angular performance index, represents the rotation performance index, represents the displacement performance index, Indicates the number of inversion or eversion test points. Indicates the The joint angle eigenvalues ​​of the test points, Indicates the The standard joint angle value of each test point, Indicates the The range of joint angle variation allowed for each test point, Represents the adjustment parameter used to control the degree of penalty for angle deviation. Indicates The weight coefficient of the joint angle eigenvalue of each test point, Indicates the number of rotation test points, Indicates the The rotation angle characteristic value of the test point, Indicates the The standard rotation angle value of each test point, represents the standard deviation of the rotation angle feature, Indicates the The weight coefficient of the rotation angle feature of the test point, Indicates taking the maximum absolute value, Indicates the The axial displacement characteristic value of each test point is: Indicates the The standard axial displacement value of each test point is: Indicates the allowable axial displacement range. Represents the adjustment parameter used to control the degree of penalty for displacement deviation. Represents the weight coefficient of the axial displacement feature of the test point.

8. The verification method of the elbow joint hinged external fixator according to claim 7, characterized in that: If not compliant in step S504, identifying non-compliant items includes: S5041, respectively setting the angle performance index threshold, the rotation performance index threshold, and the displacement performance index threshold; S5042: Compare the angle performance index, rotation performance index, and displacement performance index with the corresponding angle performance index threshold, rotation performance index threshold, and displacement performance index threshold, respectively; If the angle performance index is lower than the angle performance index threshold, it is identified that the angle performance does not meet the requirements; If the rotation performance index value is lower than the rotation performance index threshold, it is determined that the rotation performance does not meet the requirements; If the displacement performance index is lower than the displacement performance index threshold, it is identified that the displacement performance does not meet the requirements.

9. A computer device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the verification method of the elbow joint hinged external fixator according to any one of claims 1 to 8 when executing the executable instructions.

10. A computer-readable storage medium, characterized in that include: a memory having a computer program stored thereon; A processor is configured to execute the program in the memory to implement the verification method of the elbow joint hinged external fixator according to any one of claims 1 to 8.

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