A method and device for establishing an animal nerve traction injury model

Abstract

The present invention provides a method and device for creating an animal nerve traction injury model, which relates to the technical field of veterinary surgical instruments. The method includes the following steps: traction assessment and judgment, traction force assessment, and traction displacement assessment. The present invention determines whether to perform traction assessment based on the obtained traction data. If traction force assessment is performed, traction force data is obtained to obtain a traction force assessment index, and based on the traction force assessment index, it is determined whether to adjust the traction force. If traction displacement assessment is performed, traction displacement data is obtained to obtain a traction displacement assessment index, and based on the traction displacement assessment index, it is determined whether to adjust the traction displacement. This realizes multi-angle detection of the traction device, can timely detect and analyze the stability of the traction device and take corresponding measures, achieving the effect of improving the stability of the traction device in creating an animal nerve traction injury model, and solving the problem of unstable operation of the traction device in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of veterinary surgical instruments, and particularly to a method and device for creating an animal nerve traction injury model. Background Art

[0002] Animal nerve traction injury models are used to study the pathophysiological changes and repair mechanisms of peripheral or central nerves under mechanical stretching injuries. Traditional methods are difficult to precisely control the stretching force or displacement, have poor repeatability, and cannot simulate the dynamic traction process. Therefore, developing a device based on precise displacement and force control can achieve adjustable traction parameters and provide a reliable injury model.

[0003] Existing animal nerve traction injury modeling techniques mostly apply force to the nerve using manual or simple mechanical devices, but these methods have problems such as low precision, uncontrollable parameters, and poor repeatability, making it difficult to simulate the mechanical environment of nerve injuries in clinical practice. Some devices achieve injury models by adjusting the stretching displacement or traction force, but most cannot simultaneously and precisely control the traction speed, duration, and stretching intensity, and lack dynamic mechanical monitoring functions, affecting the comparability and stability of experimental results. In addition, current devices mostly do not combine with nerve anatomical characteristics, which may lead to problems such as additional injuries or uneven stress distribution. Therefore, developing a modeling device that can precisely control the traction force, displacement, and speed, while simultaneously monitoring and recording dynamic response parameters in real time, can significantly improve the accuracy and repeatability of the model and meet research requirements. Summary of the Invention

[0004] The present invention provides a method and device for creating an animal nerve traction injury model, which can not only more accurately evaluate the accuracy of the traction force and traction displacement output by the traction device, but also take corresponding measures in a timely manner to regulate the traction device to ensure the accuracy of the traction injury modeling, and accurately evaluate the stability of the traction device by monitoring the traction force and traction displacement and take corresponding measures to adjust in a timely manner, ultimately achieving an improvement in the stability of the traction device in animal nerve traction injury modeling.

[0005] To achieve the above invention objectives, the technical solutions provided by the present invention are as follows:

[0006] A method for establishing an animal nerve traction injury model, including judging whether to perform traction evaluation based on the obtained traction data, where the traction data includes the linearity of the force value curve and the linearity of the displacement curve, and the traction evaluation includes traction force evaluation and traction displacement evaluation; if the traction force evaluation is to be performed, then obtain the traction force data to obtain a traction force evaluation index, and judge whether to perform traction force adjustment based on the traction force evaluation index, where the traction force evaluation index is used to evaluate the stability of the traction force of the traction device; if the traction displacement evaluation is to be performed, then obtain the traction displacement data to obtain a traction displacement evaluation index, and judge whether to perform traction displacement adjustment based on the traction displacement evaluation index, where the traction displacement evaluation index is used to evaluate the stability of the traction displacement of the traction device.

[0007] Optionally, the specific process of judging whether to perform traction evaluation is as follows:

[0008] Step 1, obtain reference traction data from a preset database, where the reference traction data includes the minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve; Step 2, judge whether both the linearity of the force value curve and the linearity of the displacement curve are not less than the corresponding minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve. If so, do not perform traction evaluation, otherwise execute Step 3; Step 3, if the linearity of the force value curve is less than the corresponding minimum value of the linearity of the force value curve, then perform traction force evaluation, otherwise do not perform traction force evaluation; if the linearity of the displacement curve is less than the corresponding minimum value of the linearity of the displacement curve, then perform traction displacement evaluation, otherwise do not perform traction displacement evaluation.

[0009] Optionally, the traction force data includes the traction force value, the traction force response time, the overshoot, and the drift rate; the traction displacement data includes the traction displacement, the traction displacement response time, the displacement overshoot, and the displacement drift rate.

[0010] Optionally, the specific process of obtaining the traction force evaluation index is as follows: number the number of modeling experiments and obtain reference traction force data from a preset database, where the reference traction force data includes the target traction force value, the maximum response time, the maximum overshoot, and the maximum drift rate; compare the traction force data with the reference traction force data to judge whether it meets the judgment conditions: if it meets the judgment conditions, then process the traction force data and the reference traction force data to obtain a traction force evaluation index; if it does not meet the judgment conditions, then record the traction force evaluation index as 0; the judgment conditions indicate that the traction force response time, the overshoot, and the drift rate are all less than the corresponding maximum response time, the maximum overshoot, and the maximum drift rate; the specific limiting expression of the traction force evaluation index is as follows:

[0011] ;

[0012] In the formula, n represents the number of the modeling experiment , The total number representing the number of modeling tests The pulling force value of the nth modeling test The pulling force response time of the nth modeling test The overshoot of the nth modeling test The drift rate of the nth modeling test The target pulling force value The maximum response time The maximum overshoot The maximum drift rate The pulling force evaluation index of the nth modeling test, where e represents the natural constant

[0013] Optionally, the specific process of determining whether to adjust the pulling force is as follows: Obtain the pulling force threshold from a preset database, where the pulling force threshold is used to determine whether to adjust the pulling force; Compare the pulling force evaluation index with the pulling force threshold: If the pulling force evaluation index is not less than the pulling force threshold, do not adjust the pulling force; If the pulling force evaluation index is less than the pulling force threshold, adjust the pulling force; The pulling force adjustment includes increasing the sensor sampling frequency and adjusting the PID controller parameters

[0014] Optionally, the specific process of obtaining the pulling displacement evaluation index is as follows: Obtain the reference pulling displacement data from a preset database, where the reference pulling displacement data includes the target pulling displacement value, the maximum displacement overshoot, the maximum displacement drift rate, and a preset displacement rate; Compare the displacement overshoot and the displacement drift rate with the corresponding maximum displacement overshoot and maximum displacement drift rate respectively: If both the displacement overshoot and the displacement drift rate are less than the corresponding maximum displacement overshoot and maximum displacement drift rate, process the pulling displacement data and the corresponding reference pulling displacement data to obtain the pulling displacement evaluation index; If the displacement overshoot or the displacement drift rate is not less than the corresponding maximum displacement overshoot and maximum displacement drift rate, record the pulling displacement evaluation index as 0

[0015] Optionally, the specific process of determining whether to adjust the pulling displacement is as follows: Obtain the pulling displacement threshold from a preset database, where the pulling displacement threshold is used to determine whether to adjust the pulling displacement; Compare the pulling displacement evaluation index with the pulling displacement threshold: If the pulling displacement evaluation index is not less than the pulling displacement threshold, do not adjust the pulling displacement; If the pulling displacement evaluation index is less than the pulling displacement threshold, adjust the pulling displacement; The pulling displacement adjustment includes segmented adjustment and increasing damping; Increasing the damping means prompting a preset staff member through voice to add a physical damper in the pulling device to reduce the displacement overshoot phenomenon

[0016] Optionally, it further includes: if the traction evaluation is not performed, obtaining the traction response time in the dynamic response time and traction force data and the traction displacement response time in the traction displacement data to obtain a dynamic response evaluation index, and judging whether to perform dynamic adjustment according to the dynamic response evaluation index; the dynamic response evaluation index is used to evaluate the dynamic response ability of the traction device, and the dynamic response time includes the adjustment time and the rise time; the method for obtaining the dynamic response evaluation index is as follows: performing unitless processing on the traction response time and the traction displacement response time and obtaining the lag time based on the traction response time and the traction displacement response time; obtaining an adjustment time index based on the traction response time, the traction displacement response time and the adjustment time; obtaining a rise time index based on the adjustment time and the rise time; obtaining a dynamic response evaluation index according to the lag time, the adjustment time index and the rise time index.

[0017] Optionally, the specific process of judging whether to perform dynamic adjustment is as follows: obtaining a dynamic adjustment threshold from a preset database, where the dynamic adjustment threshold is used to judge whether to perform dynamic adjustment; comparing the dynamic response evaluation index with the dynamic adjustment threshold: if the dynamic response evaluation index is not less than the dynamic adjustment threshold, no dynamic adjustment is performed; if the dynamic response evaluation index is less than the dynamic adjustment threshold, dynamic adjustment is performed; the dynamic adjustment includes optimizing the PID parameters and improving the feedback loop; improving the feedback loop means performing linearization processing on the feedback signal to avoid introducing non-linear errors.

[0018] An electronic device, the electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the method for establishing an animal nerve traction injury model.

[0019] The above technical solution has at least the following beneficial effects compared with the prior art:

[0020] (1) By judging whether to perform traction evaluation based on the obtained traction data, if traction force evaluation is performed, obtaining the traction force data to obtain a traction force evaluation index, and judging whether to perform traction force adjustment based on the traction force evaluation index, if traction displacement evaluation is performed, obtaining the traction displacement data to obtain a traction displacement evaluation index, and judging whether to perform traction displacement adjustment based on the traction displacement evaluation index, multi-angle detection of the traction device is realized, the stability of the traction device can be detected and analyzed in time and corresponding measures can be taken, thereby realizing the improvement of the stability of the traction device in the establishment of animal nerve traction injury models.

[0021] (2) By numbering the number of modeling tests and obtaining reference traction force data from a preset database, then comparing the traction force data with the reference traction force data to determine whether it meets the judgment conditions. If it meets the judgment conditions, the traction force data and the reference traction force data are processed to obtain a traction force evaluation index. If it does not meet the judgment conditions, the traction force evaluation index is recorded as 0, thereby more accurately quantifying the stability of the traction force, and then taking corresponding measures in a timely manner to ensure the stability of the traction device.

[0022] (3) By comparing the displacement overshoot and the displacement drift rate with the corresponding maximum displacement overshoot and the maximum displacement drift rate respectively: If both the displacement overshoot and the displacement drift rate are less than the corresponding maximum displacement overshoot and the maximum displacement drift rate, the traction displacement data and the corresponding reference traction displacement data are processed to obtain a traction displacement evaluation index. Otherwise, the traction displacement evaluation index is recorded as 0, thereby more accurately quantifying the stability of the traction displacement, and then realizing taking corresponding measures in a timely manner to ensure the stability of the traction device. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0024] Figure 1 is a schematic structural diagram of an animal nerve traction injury modeling method of the present invention;

[0025] Figure 2 is a schematic diagram of the change of the traction displacement evaluation index of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention in conjunction with the drawings of the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] Unless otherwise defined, the technical terms or scientific terms used in this invention shall have the ordinary meanings as understood by those of ordinary skill in the field to which this invention pertains. The terms "first", "second" and similar words used in this invention do not denote any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "a", "an" or "the" do not denote a quantity limitation, but mean that there is at least one. Words such as "comprising" or "including" mean that the elements or objects appearing before this word cover the elements or objects listed after this word and their equivalents, without excluding other elements or objects. Words such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0028] It should be noted that the terms "upper", "lower", "left", "right", "front", "rear", etc. used in this invention are only used to represent relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0029] In view of the problem that the traction device in the existing method for creating a model of animal nerve traction injury may be unstable during the modeling process, this invention provides a method that can improve the stability of the traction device in the creation of a model of animal nerve traction injury, thereby enhancing the stability of the method for creating a model of animal nerve traction injury.

[0030] As Figure 1 shown, an embodiment of this invention provides a method for creating a model of animal nerve traction injury, which includes determining whether to perform traction evaluation based on the acquired traction data. The traction data includes the linearity of the force value curve and the linearity of the displacement curve. The traction evaluation includes traction force evaluation and traction displacement evaluation. If traction force evaluation is to be performed, traction force data is acquired to obtain a traction force evaluation index, and based on the traction force evaluation index, it is determined whether to perform traction force adjustment. The traction force evaluation index is used to evaluate the stability of the traction force of the traction device. If traction displacement evaluation is to be performed, traction displacement data is acquired to obtain a traction displacement evaluation index, and based on the traction displacement evaluation index, it is determined whether to perform traction displacement adjustment. The traction displacement evaluation index is used to evaluate the stability of the traction displacement of the traction device.

[0031] In this embodiment, the linearity of the force value curve is the linearity obtained by recording the curve of the traction force value changing with time, and the linearity of the displacement curve is the linearity obtained by recording the curve of the traction displacement changing with time at the set preset traction rate (such as 0.5 mm / s or 1 mm / s); during the process of establishing an animal nerve traction injury model, a traction force is applied through the use of a traction device to generate a traction displacement. Therefore, the stability of the operation of the traction device has a non-negligible impact on the establishment of the animal nerve traction injury model. In this embodiment, by analyzing the stability of the traction device, it helps to improve the stability of the traction device in the establishment of the animal nerve traction injury model; by evaluating the linearity of the traction force and the traction displacement, the performance of the experimental device can be monitored and optimized in real time, ensuring the output stability of the traction force and the displacement, thereby reducing the random error during the experiment. Moreover, the use of the traction force evaluation index and the traction displacement evaluation index can quantify the output quality of the traction device, providing a strong guarantee for the credibility of the subsequent experimental data and ensuring that the experimental results are closer to the true biological response; through the quantified and standardized evaluation process, the individual differences and equipment errors during the operation can be reduced, making the test more repeatable. At the same time, the stability of the traction device in the establishment of the animal nerve traction injury model is also improved, thus ensuring the stability of the model quality.

[0032] Among them, the specific process of determining whether to perform traction evaluation is as follows: Step 1, obtain reference traction data from a preset database, where the reference traction data includes the minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve; Step 2, determine whether both the linearity of the force value curve and the linearity of the displacement curve are not less than the corresponding minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve. If so, do not perform traction evaluation, otherwise execute Step 3; Step 3, if the linearity of the force value curve is less than the corresponding minimum value of the linearity of the force value curve (the linearity of the displacement curve is not less than the corresponding maximum value of the linearity of the displacement curve), then perform traction force evaluation, otherwise do not perform traction force evaluation; if the linearity of the displacement curve is less than the corresponding minimum value of the linearity of the displacement curve, then perform traction displacement evaluation, otherwise do not perform traction displacement evaluation.

[0033] In this embodiment, both the minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve are obtained from a preset database. Both the minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve are 1. The closer the minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve are to 1, the more stable the traction displacement and the traction force value are; through this judgment process, precise screening, quality control, and optimized management of the traction process are realized, providing a scientific basis for subsequent traction evaluation and adjustment, and improving the efficiency, accuracy, and intelligent level of the experiment.

[0034] It should be added that the traction force data includes the traction force value, the traction force response time, the overshoot, and the drift rate; the traction displacement data includes the traction displacement, the traction displacement response time, the displacement overshoot, and the displacement drift rate.

[0035] Specifically, the force value applied by the traction device is monitored in real time by using a force sensor (such as a strain gauge sensor or a piezoelectric sensor) and converted into a readable numerical output to obtain the traction force value; the traction force response time is directly obtained through the control system of the traction device; the overshoot represents the difference between the maximum traction force value and the target traction force value during the traction process; the drift rate represents the ratio of the change in the traction force value to the test time during the experiment; the traction displacement is directly obtained by measuring the displacement of the device during the traction process by using a displacement sensor (such as a laser displacement sensor, an optical encoder, or a potentiometer); similarly, the traction displacement response time is directly obtained through the control system of the traction device; the displacement overshoot represents the difference between the maximum traction displacement and the target traction displacement during the traction process; the displacement drift rate represents the ratio of the change in the traction displacement to the test time during the experiment; the above data helps to detect the stability of the traction device and provides data support for the analysis of the stability of the traction device.

[0036] Among them, the specific acquisition process of the traction force evaluation index is as follows: The modeling test times are numbered and the reference traction force data is obtained from a preset database. The reference traction force data includes the target traction force value, the maximum response time, the maximum overshoot, and the maximum drift rate; the traction force data is compared with the reference traction force data to determine whether it meets the judgment conditions: If it meets the judgment conditions, the traction force data and the reference traction force data are processed to obtain the traction force evaluation index; if it does not meet the judgment conditions, the traction force evaluation index is recorded as 0; the judgment conditions mean that the traction force response time, the overshoot, and the drift rate are all less than the corresponding maximum response time, maximum overshoot, and maximum drift rate.

[0037] The specific limiting expression of the traction force evaluation index is as follows:

[0038] ;

[0039] In the formula, n represents the number of the modeling test times, , represents the total number of the modeling test times, represents the traction force value of the nth modeling test, represents the traction force response time of the nth modeling test, represents the overshoot of the nth modeling test, represents the drift rate of the nth modeling test, represents the target traction force value, represents the maximum response time, Represents the maximum overshoot value, Represents the maximum drift rate, Represents the traction force evaluation index for the nth modeling experiment, and e represents the natural constant.

[0040] In this embodiment, the algorithm combines the traction force data and the reference traction force data for comprehensive analysis to obtain the traction force evaluation index. In the formula, the judgment of the traction force data and the reference traction force data is analyzed in two cases. For example, when the traction force response time, overshoot, and drift rate are all less than the corresponding maximum response time, maximum overshoot, and maximum drift rate, as the traction force value gets closer to the target traction force value, and the traction force response time, overshoot, and drift rate are less than the corresponding maximum response time, maximum overshoot, and maximum drift rate, the traction force evaluation index is larger, indicating that the traction force output by the traction device is more stable; otherwise, the traction force evaluation index is directly 0. Among them, the overshoot and drift rate are two core characterization indicators of the dynamic performance and steady-state performance of the traction device. They are affected by the traction force response time and the traction force value. A shorter traction force response time often means that the traction device needs to quickly reach the target traction force, so the overshoot may be larger. When the overshoot is larger, the traction device may need a longer time to return to the stable value, resulting in an increase in the drift rate. Analyzing the traction force evaluation index helps detect the impact of the stability of the traction force on the animal nerve traction injury modeling and take timely measures, thus ensuring the stability of the animal nerve traction injury modeling process.

[0041] Specifically, the reference traction force data is obtained from a preset database. In a specific embodiment, the reference traction force data is set in advance by a preset tester according to the test requirements. The test requirements specify the relevant data requirements for the animal nerve traction injury modeling process. For example, if the test is a rat sciatic nerve traction experiment, according to the test requirements, the target traction force value is 15N, the maximum response time is 150ms, the maximum overshoot is 2N, and the maximum drift rate is 0.3N / S.

[0042] Among them, the specific process of judging whether to adjust the traction force is as follows: Obtain the traction force threshold from the preset database, and the traction force threshold is used to judge whether to adjust the traction force; compare the traction force evaluation index with the traction force threshold: if the traction force evaluation index is not less than the traction force threshold, no traction force adjustment is performed; if the traction force evaluation index is less than the traction force threshold, traction force adjustment is performed; the traction force adjustment includes increasing the sensor sampling frequency and adjusting the parameters of the PID (Proportion Integration Differentiation Controller) controller; adjusting the parameters of the PID controller includes increasing the proportional gain, increasing the integral gain, and decreasing the derivative gain.

[0043] In this embodiment, by increasing the sensor sampling frequency, higher-resolution data can be captured, reducing control lag and errors caused by insufficient sampling frequency. Moreover, adjusting the PID controller parameters can further optimize the dynamic response performance of the pulling force. Through the dynamic adjustment mechanism, the efficiency of the experimental process is improved, unnecessary adjustment actions are reduced, and the credibility of the data is increased.

[0044] Specifically, the pulling force threshold is obtained from a preset database. In a specific embodiment, the pulling force data corresponding to the failure of nerve traction injury modeling of the animal in the historical data is substituted into the specific constraint expression of the pulling force evaluation index to obtain a corresponding data set, and the result of the mean operation on the data set is recorded as the pulling force threshold.

[0045] Among them, the specific acquisition process of the traction displacement evaluation index is as follows: Obtain the reference traction displacement data from the preset database. The reference traction displacement data includes the target traction displacement value, the maximum displacement overshoot, the maximum displacement drift rate, and the preset displacement rate. Compare the displacement overshoot and the displacement drift rate with the corresponding maximum displacement overshoot and maximum displacement drift rate respectively: If both the displacement overshoot and the displacement drift rate are less than the corresponding maximum displacement overshoot and maximum displacement drift rate, process the traction displacement data and the corresponding reference traction displacement data to obtain the traction displacement evaluation index; If the displacement overshoot or the displacement drift rate is not less than the corresponding maximum displacement overshoot and maximum displacement drift rate, record the traction displacement evaluation index as 0.

[0046] The specific constraint expression of the traction displacement evaluation index is as follows:

[0047] ;

[0048] In the formula, n represents the serial number of the modeling test times, , represents the total number of modeling test times, represents the traction displacement of the nth modeling test, represents the traction displacement response time of the nth modeling test, represents the displacement overshoot of the nth modeling test, represents the displacement drift rate of the nth modeling test, represents the target traction displacement value, represents the maximum displacement overshoot, represents the maximum displacement drift rate, represents the preset displacement rate, represents the traction displacement evaluation index of the nth modeling test, and e represents the natural constant.

[0049] In this embodiment, the algorithm combines the pulling displacement evaluation data and the reference pulling displacement data for comprehensive analysis to obtain the pulling displacement evaluation index. Among them, as the pulling displacement gets closer to the target pulling displacement, the pulling displacement evaluation index becomes larger, indicating that the pulling displacement output by the pulling device is more stable. When the product of the preset displacement rate and the pulling displacement response time (i.e., ) is closer to the target pulling displacement value, it further ensures the stability of the pulling response time. And if the displacement overshoot and the displacement drift rate are smaller than the corresponding maximum displacement overshoot and maximum displacement drift rate, the value of the pulling displacement evaluation index will increase accordingly, indicating that the fluctuation of the pulling displacement output by the pulling device is also more stable; among them, the pulling displacement and the pulling displacement response time determine the dynamic process of pulling, while the displacement overshoot and the displacement drift rate reflect the steady-state characteristics after the dynamic process. And the shorter the pulling displacement response time, the greater the displacement overshoot and the displacement drift rate may be. The pulling displacement response time determines the speed at which the pulling device reaches the target pulling displacement value. And the faster the speed, the easier it is for the displacement overshoot to increase. And the closer the pulling device is to the target pulling displacement value, the smaller the impact on the displacement drift rate; through the analysis of the pulling displacement evaluation index, it helps to timely monitor and analyze whether the pulling displacement output by the pulling device is stable, so as to take corresponding measures for timely adjustment and improve the efficiency of animal nerve pulling injury modeling.

[0050] Specifically, Figure 2 is a schematic diagram of the change of the pulling displacement evaluation index of the present invention. Among them, it is assumed that the target pulling displacement value is 3 mm, the maximum displacement overshoot is 3 mm, the maximum displacement drift rate is 2 mm / S, and the preset displacement rate is 1 mm / s. From Figure 2 it can be seen that when the pulling displacement response time is 1 ms, the displacement overshoot is 1.5 mm, and the displacement drift rate is 1 mm / S, as the pulling displacement gets closer to the target pulling displacement value of 3 mm, the pulling displacement evaluation value becomes larger; when the pulling displacement is 3 mm, the displacement overshoot is 1.5 mm, and the displacement drift rate is 1 mm / S, as the product of the pulling displacement response time and the preset displacement rate of 1 mm / s gets closer to the target pulling displacement value of 3 mm, the value of the pulling displacement evaluation index becomes larger; when the pulling displacement is 3 mm / s, the pulling displacement response time is 1 ms, and the displacement drift rate is 1 mm / s, as the displacement overshoot increases, the value of the pulling displacement evaluation index becomes smaller, indicating that the pulling displacement is less stable; when the pulling displacement is 3 mm / s, the pulling displacement response time is 1 ms, and the displacement overshoot is 1.5 mm, as the displacement drift rate increases, the value of the pulling displacement evaluation index becomes smaller, which also indicates that the pulling displacement is less stable; through the analysis of Figure 2 , it more intuitively reflects the stability of the pulling displacement, thus more accurately analyzing the pulling displacement evaluation index, and then regulating the stability of the pulling device, ensuring the stability of animal nerve pulling injury modeling.

[0051] Specifically, the reference traction displacement data is obtained from a preset database. In a specific embodiment, the reference traction displacement data is set in advance by a preset tester according to the test requirements, and the test requirements specify the relevant data requirements for the animal nerve traction injury modeling process. For example, if the test is a rat sciatic nerve traction experiment, according to the test requirements, the target traction displacement value is 8 mm, the maximum overshoot of the displacement is 0.8 mm, the maximum drift rate of the displacement is 0.2 mm / s, and the preset displacement rate is 2 mm / s.

[0052] Among them, the specific process for determining whether to adjust the traction displacement is as follows: obtain the traction displacement threshold from the preset database, and the traction displacement threshold is used to determine whether to adjust the traction displacement; compare the traction displacement evaluation index with the traction displacement threshold: if the traction displacement evaluation index is not less than the traction displacement threshold, no traction displacement adjustment is performed; if the traction displacement evaluation index is less than the traction displacement threshold, traction displacement adjustment is performed; the traction displacement adjustment includes segmented adjustment and adding damping; the segmented adjustment means performing segmented loading on the target traction displacement value and gradually increasing or decreasing the corresponding target traction displacement value; adding damping means prompting the preset staff through voice to add a physical damper in the traction device to reduce the displacement overshoot phenomenon.

[0053] In this embodiment, the segmented adjustment means performing segmented loading on the target traction displacement value and gradually increasing or decreasing the target traction displacement value to avoid instability of the traction device caused by mutations; adding damping means mechanically adding a physical damper in the traction device to reduce vibration or displacement overshoot phenomena; judging whether adjustment is needed through the traction displacement threshold to avoid unnecessary operations, enhancing the adaptability of the traction device. Through this adaptive mechanism, the traction device can better cope with different test conditions, improve the flexibility of the traction device, and this design optimizes the experimental resource allocation, improves the overall efficiency, and at the same time reduces the risk of human intervention errors.

[0054] Specifically, the traction displacement threshold is obtained from the preset database. In a specific embodiment, the traction displacement data corresponding to the failure of the animal nerve traction injury modeling in the historical data is substituted into the specific limit expression of the traction displacement evaluation index to obtain the corresponding data set, and then the result of performing a mean operation on the data set is recorded as the traction displacement threshold.

[0055] Among them, if the traction evaluation is not performed, the dynamic response time and the traction response time in the traction force data and the traction displacement response time in the traction displacement data are obtained to get the dynamic response evaluation index, and whether to perform dynamic adjustment is judged according to the dynamic response evaluation index; the dynamic response evaluation index is used to evaluate the dynamic response ability of the traction device. The dynamic response time includes the adjustment time and the rise time. The adjustment time represents the time required for the traction force value and the traction displacement output by the traction device to remain within ±5% error range of the target value (i.e., the target traction force value and the target traction displacement value) from the start of response. The rise time represents the time required for the traction force value and the traction displacement output by the traction device to rise from the initial value (usually 0 or 10% of the target value) to 90% of the target value (i.e., the target traction force value and the target traction displacement value). The method for obtaining the dynamic response evaluation index is as follows: The unit of the traction force response time and the traction displacement response time is removed and the lag time (i.e., ) is obtained based on the traction force response time and the traction displacement response time; the adjustment time index is obtained based on the traction force response time, the traction displacement response time and the adjustment time; the rise time index is obtained based on the adjustment time and the rise time; the dynamic response evaluation index is obtained according to the lag time, the adjustment time index and the rise time index.

[0056] The specific limit expression of the dynamic response evaluation index is as follows:

[0057] ;

[0058] ;

[0059] ;

[0060] ;

[0061] In the formula, n represents the serial number of the modeling test times, , represents the total number of the modeling test times, represents the traction force response time of the nth modeling test, represents the traction displacement response time of the nth modeling test, represents the adjustment time of the nth modeling test, represents the rise time of the nth modeling test, represents the lag time of the nth modeling test, represents the adjustment time index of the nth modeling test, represents the rise time index of the nth modeling test, represents the dynamic response evaluation index of the nth modeling test, is an irrational number.

[0062] In this embodiment, the algorithm comprehensively analyzes the dynamic response evaluation index by combining the dynamic response time, the tensile force response time in the tensile force data, and the tensile displacement response time in the tensile displacement data. Among them, the smaller the lag time, the more synchronous the tensile force and the tensile displacement, and the larger the dynamic response evaluation index; the smaller the adjustment time index, the closer the response time corresponding to the tensile force and the tensile displacement is to the adjustment time, indicating that the response of the traction device is more timely, and the corresponding dynamic response evaluation index is larger; the smaller the rise time index, the closer the rise time is to the adjustment time, indicating that the traction device outputs the tensile force and the tensile displacement more timely, and the corresponding dynamic response evaluation index is larger; the data change table of the dynamic response evaluation index is obtained according to the lag time, the adjustment time index, and the rise time index, as shown in Table 1 specifically:

[0063] Table 1 Data change table of dynamic response evaluation index

[0064]

[0065] It can be seen from Table 1 that the lag time, the adjustment time index, and the rise time index are negatively correlated with the dynamic response evaluation index. As the lag time, the adjustment time index, and the rise time index decrease, the dynamic response evaluation index increases. For example, the lag time decreases from 2 in the first row to 0.5 in the fifth row, the adjustment time index decreases from 0.35 in the first row to 0.18 in the fifth row, and the rise time index decreases from 0.4 in the first row to 0.15 in the fifth row, while the dynamic response evaluation index increases from 0.127 in the first row to 0.733 in the fifth row, indicating that the smaller the lag time, the adjustment time index, and the rise time index, the more timely the response of the traction device, and the more stable the dynamic response ability of the corresponding traction device; among them, generally, the adjustment time is usually greater than the rise time, and it is usually an ideal situation that the rise time is close to the adjustment time, indicating that the traction device is both fast and stable. In addition, the change of the tensile force usually drives the change of the tensile displacement. Therefore, the tensile force response time must be prior to or equal to the tensile displacement response time, and the adjustment time represents the time required for the tensile force and the tensile displacement to stabilize near the target value (i.e., the target tensile force value, the target tensile displacement value), usually including the tensile force response time, the tensile displacement response time, and the subsequent oscillation time. Therefore, the adjustment time must not be less than the tensile force response time or the tensile displacement response time; therefore, through the analysis of the dynamic response evaluation index, it is helpful to more accurately understand the dynamic response ability of the traction device, thereby improving the stability of the dynamic response of the traction device.

[0066] Among them, the specific process for determining whether to perform dynamic adjustment is as follows: Obtain the dynamic adjustment threshold from a preset database, where the dynamic adjustment threshold is used to determine whether to perform dynamic adjustment; compare the dynamic response evaluation index with the dynamic adjustment threshold: if the dynamic response evaluation index is not less than the dynamic adjustment threshold, no dynamic adjustment is performed; if the dynamic response evaluation index is less than the dynamic adjustment threshold, dynamic adjustment is performed; dynamic adjustment includes optimizing the PID parameters and improving the feedback loop; optimizing the PID parameters means increasing the proportional gain, decreasing the derivative gain, and increasing the integral gain; improving the feedback loop means linearizing the feedback signal to avoid introducing non-linear errors.

[0067] In this embodiment, through the setting of the dynamic adjustment threshold, the traction device can be flexibly adjusted according to the actual situation instead of operating according to fixed parameters. Moreover, in the dynamic adjustment, optimizing the PID parameters (such as increasing the proportional gain, decreasing the derivative gain, and increasing the integral gain) can significantly improve the control performance of the traction device, thereby enhancing the stability of the traction device in the animal nerve traction injury modeling.

[0068] Specifically, the dynamic adjustment threshold is obtained from a preset database. In a specific embodiment, the dynamic response time corresponding to the failure of the animal nerve traction injury modeling in the historical data, the traction force response time in the traction force data, and the traction displacement response time in the traction displacement data are substituted into the specific limit expression of the dynamic response evaluation index to obtain a corresponding data set, and then the result of performing a mean operation on the data set is recorded as the dynamic adjustment threshold.

[0069] An electronic device provided in an embodiment of the present application is characterized in that the electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions. Among them, when the computer program instructions are executed by the processor, the electronic device is triggered to execute a method for animal nerve traction injury modeling.

[0070] The following points need to be noted:

[0071] (1) The drawings in the embodiments of the present invention only relate to the structures involved in the embodiments of the present invention, and other structures can refer to the general design.

[0072] (2) For clarity, in the drawings used to describe the embodiments of the present invention, the thickness of the layer or region is enlarged or reduced, that is, these drawings are not drawn according to the actual scale. It can be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" or "under" another element, the element can be "directly" on or under the other element or there can be an intermediate element.

[0073] (3) Without conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0074] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for establishing an animal nerve traction injury model, characterized in that, Include; Judge whether to perform traction evaluation based on the acquired traction data, where the traction data includes the linearity of the force value curve and the linearity of the displacement curve, and the traction evaluation includes traction force evaluation and traction displacement evaluation; If traction force evaluation is to be performed, obtain the traction force data to get the traction force evaluation index, and judge whether to adjust the traction force based on the traction force evaluation index, where the traction force evaluation index is used to evaluate the stability of the traction force of the traction device; If traction displacement evaluation is to be performed, obtain the traction displacement data to get the traction displacement evaluation index, and judge whether to adjust the traction displacement based on the traction displacement evaluation index, where the traction displacement evaluation index is used to evaluate the stability of the traction displacement of the traction device; The specific process of judging whether to perform traction evaluation is as follows: Step 1, obtain reference traction data from the preset database, where the reference traction data includes the minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve; Step 2, judge whether both the linearity of the force value curve and the linearity of the displacement curve are not less than the corresponding minimum value of the linearity of the force value curve and the minimum value of the linearity of the displacement curve. If so, do not perform traction evaluation, otherwise execute Step 3; Step 3, if the linearity of the force value curve is less than the corresponding minimum value of the linearity of the force value curve, perform traction force evaluation, otherwise do not perform traction force evaluation; If the linearity of the displacement curve is less than the corresponding minimum value of the linearity of the displacement curve, perform traction displacement evaluation, otherwise do not perform traction displacement evaluation; The traction force data includes the traction force value, the traction force response time, the overshoot amount, and the drift rate; The traction displacement data includes the traction displacement, the traction displacement response time, the displacement overshoot amount, and the displacement drift rate.

2. The method for establishing an animal nerve traction injury model according to claim 1, wherein The specific process of obtaining the traction force evaluation index is as follows: Number the number of modeling tests and obtain reference traction force data from the preset database, where the reference traction force data includes the target traction force value, the maximum response time, the maximum overshoot amount, and the maximum drift rate; Compare the traction force data with the reference traction force data to judge whether it meets the judgment condition: If it meets the judgment condition, process the traction force data and the reference traction force data to obtain the traction force evaluation index; If it does not meet the judgment condition, record the traction force evaluation index as 0; The judgment condition means that the traction force response time, the overshoot amount, and the drift rate are all less than the corresponding maximum response time, maximum overshoot amount, and maximum drift rate; The specific limit expression of the traction force evaluation index is as follows: ； Where n represents the serial number of the modeling test times, , represents the total number of modeling test times, represents the traction force value of the nth modeling test, represents the traction force response time of the nth modeling test, represents the overshoot of the nth modeling test, represents the drift rate of the nth modeling test, represents the target traction force value, represents the maximum value of the response time, represents the maximum value of the overshoot, represents the maximum value of the drift rate, represents the traction force evaluation index of the nth modeling test, and e represents the natural constant.

3. The method for establishing an animal nerve traction injury model according to claim 2, characterized in that, The specific process of judging whether to adjust the traction force is as follows: Obtain the traction force threshold from the preset database, where the traction force threshold is used to judge whether to adjust the traction force; Compare the traction force evaluation index with the traction force threshold: If the traction force evaluation index is not less than the traction force threshold, do not adjust the traction force; If the traction force evaluation index is less than the traction force threshold, adjust the traction force; The traction force adjustment includes increasing the sensor sampling frequency and adjusting the PID controller parameters.

4. The method for establishing an animal nerve traction injury model according to claim 1, wherein The specific process of obtaining the traction displacement evaluation index is as follows: Obtain reference traction displacement data from a preset database, where the reference traction displacement data includes a target traction displacement value, a maximum displacement overshoot, a maximum displacement drift rate, and a preset displacement rate; Compare the displacement overshoot and the displacement drift rate with the corresponding maximum displacement overshoot and maximum displacement drift rate respectively: If both the displacement overshoot and the displacement drift rate are less than the corresponding maximum displacement overshoot and maximum displacement drift rate, process the traction displacement data and the corresponding reference traction displacement data to obtain a traction displacement evaluation index; If the displacement overshoot or the displacement drift rate is not less than the corresponding maximum displacement overshoot and maximum displacement drift rate, record the traction displacement evaluation index as 0.

5. The method for establishing an animal nerve traction injury model according to claim 4, wherein The specific process of determining whether to adjust the traction displacement is as follows: Obtain a traction displacement threshold from a preset database, where the traction displacement threshold is used to determine whether to adjust the traction displacement; Compare the traction displacement evaluation index with the traction displacement threshold: If the traction displacement evaluation index is not less than the traction displacement threshold, do not adjust the traction displacement; If the traction displacement evaluation index is less than the traction displacement threshold, adjust the traction displacement; The traction displacement adjustment includes segmented adjustment and increasing damping; Increasing the damping means prompting a preset staff member through voice to add a physical damper in the traction device to reduce the displacement overshoot phenomenon.

6. The method for establishing an animal nerve traction injury model according to claim 1, characterized in that, It further includes: If no traction evaluation is performed, obtain the dynamic response time, the traction force response time in the traction force data, and the traction displacement response time in the traction displacement data to obtain a dynamic response evaluation index, and determine whether to perform dynamic adjustment according to the dynamic response evaluation index; The dynamic response evaluation index is used to evaluate the dynamic response ability of the traction device, and the dynamic response time includes the adjustment time and the rise time; The method for obtaining the dynamic response evaluation index is as follows: Perform de - dimensionalization processing on the traction force response time and the traction displacement response time and obtain a lag time based on the traction force response time and the traction displacement response time; Obtain an adjustment time index based on the traction force response time, the traction displacement response time, and the adjustment time; Obtain a rise time index based on the adjustment time and the rise time; Obtain a dynamic response evaluation index according to the lag time, the adjustment time index, and the rise time index.

7. The method for establishing an animal nerve traction injury model according to claim 6, characterized in that, The specific process of determining whether to perform dynamic adjustment is as follows: Obtain a dynamic adjustment threshold from a preset database, where the dynamic adjustment threshold is used to determine whether to perform dynamic adjustment; Compare the dynamic response evaluation index with the dynamic adjustment threshold: If the dynamic response evaluation index is not less than the dynamic adjustment threshold, do not perform dynamic adjustment; If the dynamic response evaluation index is less than the dynamic adjustment threshold, perform dynamic adjustment; The dynamic adjustment includes optimizing the PID parameters and improving the feedback loop; Improving the feedback loop means performing linearization processing on the feedback signal to avoid introducing non - linear errors.

8. An electronic device, characterized in that, The electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions. Among them, when the computer program instructions are executed by the processor, the electronic device is triggered to execute the method for establishing an animal nerve traction injury model according to any one of claims 1 - 7.

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