Biped balance test system and method and computer storage medium

Abstract

The invention provides a biped balance test system and method and a computer storage medium, and relates to the technical field of balance test.The biped balance test method comprises the following steps that after an animal is in place, multiple biped pressure difference values within a first preset time period are obtained, and a difference value range is obtained; standardized pain stimulation is applied to the two feet of the animal; acquiring a first data set comprising a plurality of bipod values in a second preset time period; correcting the plurality of bipod difference values to obtain a corrected data set; and obtaining a corresponding first pain value data set based on the correction data set, and then obtaining an actual pain value based on the first pain value data set. According to the biped balance test method provided by the embodiment of the invention, the obtained biped difference value can be more fit for the condition of applying standardized pain stimulation after being corrected, the condition that the accuracy of a measurement result is relatively poor due to the randomness of an animal can be reduced, and the accuracy of the measurement result is improved. And the finally obtained actual pain value is more accurate.

Description

Technical Field

[0001] This application relates to the field of balance testing technology, specifically to a bipedal balance testing system and method, and a computer storage medium. Background Technology

[0002] The bipedal balance tester can be used to screen analgesics and anti-inflammatory drugs by obtaining the weight-bearing pressure difference between the two feet when an animal experiences pain in a single limb. It can also be used to diagnose diseases of the limbs in animals, such as joint inflammation and ligament damage, which are not visible to the naked eye.

[0003] Currently, the main method is to apply a standard pain stimulus and then look up the pressure difference between the animal's two feet in a reference table to obtain the actual pain value. However, due to the randomness of the animals, the accuracy of this method is poor. Summary of the Invention

[0004] The present application provides a bipedal balance testing system and method, as well as a computer storage medium, which can effectively improve the accuracy of measurement results.

[0005] The specific technical solution of this embodiment is as follows:

[0006] On one hand, embodiments of this application provide a bipedal balance test method, including the following steps:

[0007] S10. After the animal is in place, obtain multiple pressure differences between the two feet within the first preset time period to obtain the difference range (a1, a2).

[0008] S20. Apply standardized pain stimuli to both feet of the animal;

[0009] S30. Obtain a first data set B={b1,b2,...,bn} that includes multiple bipedal differences within a second preset time period;

[0010] S40. Correct the multiple bipedal differences to obtain the corrected data set;

[0011] S401. Obtain the bipedal differences greater than or equal to a2 in the first data set to obtain the second data set C={c1,c2,...,cm};

[0012] S402. Based on the second data set, obtain the third data set D=C-a1={c1-a1,c2-a1,...,cm-a1}, and add the data in the third data set to the correction data set;

[0013] S50. Based on the corrected data set, obtain the corresponding first pain value data set, and then based on the first pain value data set, obtain the actual pain value.

[0014] In some embodiments, after obtaining the second data set and before obtaining the corresponding first pain value data set based on the corrected data set, the following steps are also included:

[0015] S403. Determine whether the amount of data in the second data group exceeds the first preset quantity;

[0016] S404. When it is determined that the amount of data in the second data group exceeds the first preset quantity, the process ends.

[0017] S405. When it is determined that the amount of data in the second data does not exceed the first preset quantity, obtain the bipedal difference value in the first data group that is greater than a1 and less than a2, and obtain the fourth data group E={e1,e2,...ei};

[0018] S406. Based on the fourth data set, obtain the fifth data set F=E-a1={e1-a1,e2-a1,...,ei-a1}, and add the data in the fifth data set to the correction data set.

[0019] In some embodiments, obtaining a corresponding first pain value data set based on the corrected data set, and then obtaining the actual pain value based on the first pain value data set, includes the following steps:

[0020] S501. Based on the third data group, obtain the corresponding first pain value data group, and then obtain the specific first pain value;

[0021] S502. Based on the fifth data group, obtain the corresponding first pain value data group, and then obtain the specific second pain value;

[0022] S503. Obtain the actual pain value = first pain value * z1 + second pain value * z2, where z1 is the first preset weight, z2 is the second preset weight, z1 + z2 = 1, z1 > z2.

[0023] In some embodiments, obtaining the actual pain value based on the first pain value data set includes the following steps:

[0024] The median of all data in the first pain value data group is used as the actual pain value.

[0025] In some embodiments, before obtaining the actual pain value based on the first pain value data set, the following steps are included:

[0026] T10. Obtain the degree of whitening of animal feet based on visual inspection equipment;

[0027] T20. Based on the degree of whitening of the animal's feet, the sixth data group was obtained; the data in the sixth data group corresponded one-to-one with the data in the first pain value data group, and the two corresponding data were obtained at the same time.

[0028] T30. Calculate the difference between the data in the sixth data group and the corresponding data in the first pain value data group;

[0029] T40. If the difference calculated in step T30 is greater than the first preset value, then the corresponding data in the first pain value data group will be deleted.

[0030] In some embodiments, the second preset time period is ≥ 2 * the first preset time period.

[0031] In some embodiments, obtaining the corresponding first pain value data set based on the modified data set includes the following steps:

[0032] K10: Compare each data value in the corrected data set with a preset pain level rating scale, which includes multiple pain intensity ranges and corresponding pressure differences.

[0033] K20: Map each data value to the pressure difference corresponding to its respective pain intensity range to generate the first pain value data group.

[0034] On the other hand, embodiments of this application provide a bipedal balance testing system, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement any of the bipedal balance testing methods described in the above embodiments.

[0035] This application also provides a computer storage medium storing a computer program, which is executed to implement the bipedal balance test method of any of the above embodiments.

[0036] Compared with the prior art, the embodiments of this application have the following beneficial effects:

[0037] The bipedal balance test method provided in this application embodiment can make the obtained bipedal difference value more closely match the situation of being subjected to standardized pain stimulation after correction, which can reduce the poor accuracy of the measurement results due to the randomness of the animal, and thus make the final actual pain value more accurate. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1This is a flowchart illustrating a bipedal balance test method provided in some embodiments of this application;

[0040] Figure 2 This is a partial flowchart illustrating a bipedal balance test method provided in other embodiments of this application. Detailed Implementation

[0041] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0042] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0043] The use of "applies to" or "configured to" in this application implies open and inclusive language, which does not exclude the applicability to or configuration to devices performing additional tasks or steps. Additionally, the use of "based on" implies openness and inclusivity, because processes, steps, calculations, or other actions "based on" one or more of the stated conditions or values ​​may in practice be based on additional conditions or values ​​beyond those stated.

[0044] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0045] On the one hand, embodiments of this application provide a bipedal balance test method; please refer to [link to relevant documentation]. Figure 1 , Figure 1 This is a flowchart illustrating a bipedal balance test method provided in some embodiments of this application, including the following steps:

[0046] S10. After the animal is in place, obtain multiple pressure differences between the two feet within the first preset time period to obtain the difference range (a1, a2).

[0047] In S10, "animal placement" refers to placing the animal in the test environment and allowing it to adapt. Once the animal has adapted, it is considered "placed." Depending on the specific test content, the pressure difference between the two legs can be either the pressure difference between the hind legs or the pressure difference between the front legs. The pressure difference is primarily determined by acquiring the pressure of both legs in the area where pressure sensors are installed, and then calculating the pressure difference. Within the first preset time period, multiple pressure difference values ​​will be obtained; the minimum value a1 and the maximum value a2 are primarily selected. "Multiple pressure difference values" refers to at least two.

[0048] S20. Apply standardized pain stimuli to both feet of the animal.

[0049] In S20, the standardized pain stimulus can be the mechanical pain threshold measured by von Frey wire or the temperature pain threshold measured by hot / cold plate.

[0050] S30. Obtain a first data set B={b1,b2,...,bn} that includes multiple bipedal differences within a second preset time period.

[0051] In S30, depending on the specific circumstances, the first data set can be acquired either simultaneously with the standardized pain stimulus or immediately after the standardized pain stimulus ends. The second preset time period can be the same length as the first preset time period, or they can be different lengths. When the second preset time period and the first preset time period are different lengths, the second preset time period can be longer or shorter than the first preset time period. The more bipedal differences there are, i.e., the more data in the first data set, the more accurate the subsequent test results will be.

[0052] S40. Correcting multiple bipedal differences to obtain a corrected data set mainly includes the following steps:

[0053] S401. Obtain the bipedal differences of the first data set that are greater than or equal to a2, and obtain the second data set C={c1,c2,...,cm}.

[0054] In S401, the second data group includes at least one data point. If the second data group is empty, the test process fails and no further steps are performed. Where m ≤ n.

[0055] S402. Based on the second data set, obtain the third data set D=C-a1={c1-a1,c2-a1,...,cm-a1}, and add the data in the third data set to the correction data set.

[0056] In S402, the third data group consists of each data point in the second data group minus the value of a1. The amount of data in the third data group is the same as that in the second data group. Before the data from the third data group is added to the correction data group, the correction data group can be empty or it can include data obtained through other means.

[0057] S50. Based on the corrected data set, obtain the corresponding first pain value data set, and then based on the first pain data set, obtain the actual pain value.

[0058] In S50, obtaining the corresponding first pain value data group based on the corrected data group means obtaining a first pain value data for each data point in the corrected data group. This process can be implemented using existing technologies. The amount of data in the first pain value data group is the same as the amount of data in the corrected data group. Obtaining the actual pain value based on the first pain data group means obtaining a relatively accurate pain value based on multiple pain data points. This process can be achieved by taking the median of multiple pain data points or by calculating the value by assigning weights to multiple different pain data points.

[0059] In the above embodiment, the state of the animal before the application of standardized pain stimulus is first obtained to obtain the range of bipedal pressure difference under normal conditions. Then, based on the range of bipedal pressure difference under normal conditions, multiple data after the application of standardized pain stimulus are filtered. The filtered data is then corrected to make the data in the final corrected data set more consistent with the data values ​​generated by the animal after the application of standardized pain stimulus. Finally, the actual pain value is obtained based on the corrected data set.

[0060] By setting up the above embodiments, the obtained bipedal difference value, after correction, can better reflect the situation of being subjected to standardized pain stimulation, which can reduce the poor accuracy of the measurement results caused by the randomness of the animals, and thus make the final actual pain value more accurate.

[0061] In some embodiments, after obtaining the second data set in step S40 and before obtaining the corresponding first pain value data set based on the corrected data set in step S50, the following steps are also included:

[0062] S403. Determine whether the amount of data in the second data group exceeds the first preset quantity.

[0063] In S403, in order to obtain a certain number of first pain value data in the future, it is necessary to ensure that the corrected data set also meets a certain requirement.

[0064] S404. When it is determined that the amount of data in the second data group exceeds the first preset quantity, the process ends.

[0065] In S404, "end" indicates that the subsequent S50 proceeds normally, that is, the data in the third data group is added to the correction data group, and then the corresponding first pain value data group is obtained based on the correction data group.

[0066] S405. When it is determined that the amount of data in the second data group does not exceed the first preset quantity, the bipedal difference values ​​in the first data that are greater than a1 and less than a2 are obtained to obtain the fourth data group E={e1,e2,...ei}.

[0067] In step S405, the fourth data set and the second data set are not necessarily related, where i≤n.

[0068] S406. Based on the fourth data set, obtain the fifth data set F=E-a1={e1-a1,e2-a1,...,ei-a1}, and add the data in the fifth data set to the correction data set.

[0069] In S406, the fifth data group is the data after subtracting the a1 value from each data in the fourth data group, and the amount of data in the fifth data group is the same as the amount of data in the fourth data group.

[0070] In the above embodiments, there is no necessary connection between steps S403-S406 and step S402. Step S402 may be performed before steps S403-S406, after steps S403-S406, or simultaneously.

[0071] With the settings of the above embodiments, if the amount of data in the second data group is small after obtaining the second data group, the amount of data in the first pain data group obtained subsequently will also be small. This may lead to a large deviation in the actual pain value obtained subsequently. In the above embodiments, by obtaining a fourth data group to increase the amount of data in the first pain data group, the deviation of the actual pain value obtained subsequently can be smaller, and the test results can be more accurate.

[0072] In some embodiments, in step S50, obtaining a corresponding first pain value data set based on the corrected data set, and then obtaining the actual pain value based on the first pain value data set, includes the following steps:

[0073] S501. Based on the third data group, obtain the corresponding first pain value data group, and then obtain the specific first pain value.

[0074] S502. Based on the fifth data group, obtain the corresponding first pain value data group, and then obtain the specific second pain value.

[0075] S503. Obtain the actual pain value = first pain value * z1 + second pain value * z2, where z1 is the first preset weight, z2 is the second preset weight, z1 + z2 = 1, z1 > z2.

[0076] In the above embodiments, because the amount of data in the third data group is relatively small, if the average value of the corrected data group, including the third and fifth data groups, is simply obtained when a fifth data group is introduced, although the deviation of the final actual pain value is reduced, a certain degree of bias will still occur. Therefore, by assigning a heavier weight to the more authoritative first pain value, the final actual pain value can be made more accurate.

[0077] In some other embodiments, in step S50, obtaining the actual pain value based on the first pain value data set includes the following steps:

[0078] The median of all data in the first pain value data group is used as the actual pain value.

[0079] By implementing the above-described embodiments, the calculation of actual pain values ​​can be made more robust and reliable by avoiding significant impact from individual abnormal data. This method of using the median as the actual pain value reduces errors caused by data fluctuations to a certain extent, improving the accuracy and stability of the measurement results.

[0080] Please see Figure 2 , Figure 2 This is a flowchart illustrating a bipedal balance testing method provided in some other embodiments of this application. In some of these embodiments, before obtaining the actual pain value based on the first pain value data set in step S50, the following steps are also included:

[0081] T10. Obtain the degree of whitening of animal feet based on visual inspection equipment.

[0082] T20. Based on the whitening of the animal's feet, the sixth data group was obtained; the data in the sixth data group corresponded one-to-one with the data in the first pain value data, and the two corresponding data were obtained at the same time.

[0083] In steps T10 and T20, while measuring the pressure difference between the animal's two feet using a pressure testing device, a second pain value is simultaneously acquired through a visual detection device for each pressure difference value. The acquisition times are the same. After filtering the pressure difference values, the data that is filtered out is deleted, so that the amount of data in the sixth data group, which includes multiple second pain value data, is the same as the amount of data in the first pain value data group, and they correspond one-to-one.

[0084] The sixth data set obtained through visual inspection equipment is an existing technology. The general process involves using the equipment to acquire images of an animal's feet, analyzing the color features of the feet in the images using image recognition technology, and converting the degree of paleness of the feet into corresponding pain value data based on a pre-defined correspondence between color and pain value. For example, a color database can be pre-established, where different color ranges correspond to different pain value intervals. After the visual inspection equipment acquires images of the animal's feet, it analyzes the range of colors within the images to determine the corresponding pain value data.

[0085] T30. Calculate the difference between the data in the sixth data group and the corresponding data in the first pain value data group.

[0086] In T30, the amount of data in the first pain value data group is the same as the amount of data in the sixth data group, so the amount of data in the difference between the two is also the same as the amount of data in the two data groups mentioned above.

[0087] T40. If the difference calculated in step T30 is greater than the first preset value, then the corresponding data in the first pain value data group will be deleted.

[0088] By using the above-described embodiments, a sixth data set is obtained from a conventional visual inspection device with relatively blurry test results. This sixth data set is then compared with the first pain value data set. Data with large deviations are further filtered, and the actual pain value is obtained from the filtered first pain value data set. This approach makes the final actual pain value more accurate and improves the test results.

[0089] In some embodiments, the second preset time period is ≥ 2 * the first preset time period.

[0090] In the above embodiments, the length of the second preset time period is greater than or equal to twice the length of the first preset time period. On the one hand, this can make the length of the first preset time period shorter, thereby improving the efficiency of the entire test. On the other hand, it can make the amount of data in the first data set obtained after applying standardized pain stimulation to the animal's two feet more, which can better serve the subsequent screening and correction processes. In this way, the final actual pain value can be obtained through more data, resulting in higher test accuracy.

[0091] In some embodiments, step S50, obtaining the corresponding first pain value data set based on the corrected data set, includes the following steps:

[0092] K10: Compare each data value in the corrected data set with a preset pain level rating scale, which includes multiple pain intensity ranges and corresponding pressure differences.

[0093] K20: Map each data value to the pressure difference corresponding to its respective pain intensity range to generate the first pain value data group.

[0094] The above-described embodiments allow for the effective correlation between the data in the corrected data set and the pain rating scale, transforming the data into meaningful pain pressure differences. This approach makes the abstract data in the corrected data set intuitive and understandable, facilitating subsequent calculations of actual pain values.

[0095] On the other hand, embodiments of this application provide a bipedal balance testing system, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the bipedal balance testing method of any of the above embodiments.

[0096] This application also provides a computer storage medium storing a computer program, which is executed to implement the bipedal balance test method of any of the above embodiments.

[0097] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for testing bipedal balance, characterized in that, Includes the following steps: S10. After the animal is in place, obtain multiple pressure differences between the two feet within the first preset time period to obtain the difference range (a1, a2). S20. Apply standardized pain stimuli to both feet of the animal; S30. Obtain a first data set B={b1,b2,...,bn} that includes multiple bipedal differences within a second preset time period; S40. Correct the multiple bipedal differences to obtain the corrected data set; S401. Obtain the bipedal differences greater than or equal to a2 in the first data set to obtain the second data set C={c1,c2,...,cm}; S402. Based on the second data set, obtain the third data set D=C-a1={c1-a1,c2-a1,...,cm-a1}, and add the data in the third data set to the correction data set; S50. Based on the corrected data set, obtain the corresponding first pain value data set, and then based on the first pain value data set, obtain the actual pain value.

2. The bipedal balance test method as described in claim 1, characterized in that, After obtaining the second data set, and before obtaining the corresponding first pain value data set based on the corrected data set, the following steps are also included: S403. Determine whether the amount of data in the second data group exceeds the first preset quantity; S404. When it is determined that the amount of data in the second data group exceeds the first preset quantity, the process ends. S405. When it is determined that the amount of data in the second data does not exceed the first preset quantity, obtain the bipedal difference value in the first data group that is greater than a1 and less than a2, and obtain the fourth data group E={e1,e2,...ei}; S406. Based on the fourth data set, obtain the fifth data set F=E-a1={e1-a1,e2-a1,...,ei-a1}, and add the data in the fifth data set to the correction data set.

3. The bipedal balance test method as described in claim 2, characterized in that, Based on the corrected data set, the corresponding first pain value data set is obtained. Then, based on the first pain value data set, the actual pain value is obtained, including the following steps: S501. Based on the third data group, obtain the corresponding first pain value data group, and then obtain the specific first pain value; S502. Based on the fifth data group, obtain the corresponding first pain value data group, and then obtain the specific second pain value; S503. Obtain the actual pain value = first pain value * z1 + second pain value * z2, where z1 is the first preset weight, z2 is the second preset weight, z1 + z2 = 1, z1 > z2.

4. The bipedal balance test method as described in claim 1, characterized in that, The actual pain value is obtained based on the first pain value data set through the following steps: The median of all data in the first pain value data group is used as the actual pain value.

5. The bipedal balance test method as described in any one of claims 1-4, characterized in that, Before obtaining the actual pain value based on the first pain value data set, the following steps are also included: T10. Obtain the degree of whitening of animal feet based on visual inspection equipment; T20. Based on the degree of whitening of the animal's feet, the sixth data group was obtained; the data in the sixth data group corresponded one-to-one with the data in the first pain value data group, and the two corresponding data were obtained at the same time. T30. Calculate the difference between the data in the sixth data group and the corresponding data in the first pain value data group; T40. If the difference calculated in step T30 is greater than the first preset value, then the corresponding data in the first pain value data group will be deleted.

6. The bipedal balance test method as described in any one of claims 1-4, characterized in that, The second preset time period is greater than or equal to 2 * the first preset time period.

7. The bipedal balance test method according to any one of claims 1-4, characterized in that, Based on the corrected data set, the corresponding first pain value data set is obtained through the following steps: K10: Compare each data value in the corrected data set with a preset pain level rating scale, which includes multiple pain intensity ranges and corresponding pressure differences. K20: Map each data value to the pressure difference corresponding to its respective pain intensity range to generate the first pain value data group.

8. A bipedal balance testing system, characterized in that, The device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the bipedal balance test method according to any one of claims 1-7.

9. A computer storage medium, characterized in that, It contains a computer program that is executed to implement the bipedal balance test method according to any one of claims 1-7.

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