A method and system for automatically generating variable distance correction results of an electronic vision chart

Abstract

This application discloses an automatic generation method and system for variable distance correction results of electronic vision charts, relating to the field of electronic vision testing. The method includes: obtaining the target examination distance of the examinee and configuring a target examination distance mode based on the target examination distance; performing vision testing on the examinee according to the target examination distance mode to obtain the original recognition result; extracting correction parameters corresponding to the original recognition result from the distance correction relationship, and using the correction parameters to convert the original recognition result to generate a standardized vision result; performing a format conversion on the standardized vision result according to the target format to obtain the format-converted standardized vision result; and generating a structured variable distance correction result. This application improves the automation level of variable distance correction and standardized result generation of electronic vision charts, and can perform multiple format conversions and structured recording, facilitating multi-scenario use and interconnection, and enabling collaborative product applications with existing modules.

Description

Technical Field

[0001] This application relates to the field of electronic vision testing, and in particular to a method and system for automatically generating variable distance correction results of an electronic vision chart. Background Technology

[0002] When standard logarithmic visual acuity charts are used for distance visual acuity testing, the testing distance and optotype recording rules have clearly defined requirements. In practical applications, due to the different environmental spaces such as hospital clinics, physical examination sites, and school screening points, electronic visual acuity charts usually need to support different testing distance modes. The current GB / T 11533-2011 "Standard Logarithmic Visual Acuity Chart" provides the basic basis for achieving standardized visual acuity results with electronic visual acuity charts.

[0003] While existing electronic vision charts generally support multiple testing distance modes, the following problems still exist in variable-distance applications: First, many devices only support switching display distance modes, but do not form a complete automatic correction result generation mechanism. Operators still need to rely on experience to understand the correspondence between results under different distance modes.

[0004] Second, existing technologies typically output vision results directly in a specific display mode, failing to automatically generate standardized results corresponding to standard examination distances. This makes it difficult to compare results under different scenarios and distance conditions in a unified manner.

[0005] Third, although some products can display targets in distance mode, they lack a unified processing logic for the original identification results, correction parameters, corrected results, and conversion between various recording formats, which is not conducive to the accurate recording of test results and interconnected applications.

[0006] Fourth, the variable distance correction process in existing technologies usually lacks procedural, automated, and structured expression, which is not conducive to standardization and promotion, nor to subsequent integration with electronic medical records, screening systems, and scientific research data platforms. Summary of the Invention

[0007] The purpose of this application is to provide a method and system for automatically generating variable distance correction results of electronic vision charts, which can improve the automation level of variable distance correction and standardized result generation of electronic vision charts, and can perform multiple format conversion output and structured recording, which is convenient for use in multiple scenarios and interconnection, and can be easily integrated with existing modules to achieve product application.

[0008] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides an automatic method for generating variable distance correction results for an electronic vision chart. The method includes: obtaining the target examination distance of a test subject and configuring a target examination distance mode based on the target examination distance; performing vision testing on the test subject according to the target examination distance mode to obtain an original recognition result; the original recognition result includes at least: optotypes in the electronic vision chart that the test subject can recognize; extracting correction parameters corresponding to the original recognition result from the distance correction relationship, and converting the original recognition result using the correction parameters to generate a standardized vision result; the storage method of the distance correction relationship includes at least either mapping table storage or rule base storage; performing a format conversion on the standardized vision result according to the target format to obtain a format-converted standardized vision result; and generating a structured variable distance correction result based on the original recognition result, the format-converted standardized vision result, the target examination distance mode, the target examination distance, and the correction parameters.

[0009] In a second aspect, this application also provides a computer system, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the automatic generation method for variable distance correction results of the electronic vision chart described in the first aspect.

[0010] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application obtains the target inspection distance and configures the corresponding inspection distance mode; performs vision testing based on this mode to obtain the original recognition result containing identifiable visual targets; extracts the corresponding correction parameters from the distance correction relationship, converts the original recognition result, and generates a standardized vision result; performs a format conversion on the standardized vision result according to the target format; finally, based on the original recognition result, the format-converted standardized vision result, the target inspection distance mode, the target inspection distance, and the correction parameters, generates a structured variable distance correction result. This application improves the automation level of variable distance correction and standardized result generation in electronic vision charts, and can perform multiple format conversion outputs and structured recording, facilitating use and interconnection in multiple scenarios, and enabling collaborative product applications with existing modules. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the 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.

[0012] Figure 1 This is a flowchart illustrating an automatic generation method for variable distance correction results of an electronic vision chart, provided in an embodiment of this application.

[0013] Figure 2 This is an internal structure diagram of a computer system provided in an embodiment of this application. Detailed Implementation

[0014] 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.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] Example 1, such as Figure 1 As shown, this embodiment provides a method for automatically generating variable distance correction results of an electronic vision chart, the method comprising: S1. Obtain the target inspection distance of the subject and configure the target inspection distance mode according to the target inspection distance.

[0017] Furthermore, obtaining the target inspection distance of the examinee specifically includes: obtaining the target inspection distance of the examinee by means of selection by the operator and / or by means of effective detection distance acquisition by the sensor.

[0018] Furthermore, the target inspection distance mode includes any one of the following: 5m mode, 3m mode, and 2.5m mode; wherein, the standard inspection distance corresponding to the 5m mode is 5m; the standard inspection distance corresponding to the 3m mode is 3m; and the standard inspection distance corresponding to the 2.5m mode is 2.5m.

[0019] Optionally, the correspondence between target inspection distance modes and inspection distances is as follows: 1) 5m mode: .

[0020] 2) 3M mode: .

[0021] 3) 2.5m mode: .

[0022] S2. Perform vision testing on the subject according to the target inspection distance pattern to obtain the original recognition result; the original recognition result includes at least: the optotypes in the electronic vision chart that the subject can recognize.

[0023] Furthermore, the original recognition result also includes: the original result value corresponding to the target level; wherein the original result value is input by the operator or automatically recorded through interaction.

[0024] In practical applications, when the original recognition result corresponds to a boundary level, the validity of the original recognition result is confirmed according to a preset pass rule before the conversion is performed. For example, if a certain level of visual object just passes or just fails, the result is first confirmed according to the preset pass rule before deciding whether to proceed to the correction conversion step. The pass rule can be preset based on the number of recognitions per row, the visual object type, or the current detection mode.

[0025] S3. Extract the correction parameters corresponding to the original recognition result from the distance correction relationship, and use the correction parameters to convert the original recognition result to generate a standardized vision result; the storage method of the distance correction relationship includes at least one of the following: mapping table storage and rule base storage.

[0026] Furthermore, the method of storing the distance correction relationship includes at least one of the following: storing in a mapping table and storing in a rule base.

[0027] Furthermore, the formula for calculating the correction coefficient is as follows: .

[0028] In the formula, Check distance mode for target Corresponding standard distance correction factor; Check distance mode for target The corresponding inspection distance; This is the standard inspection distance.

[0029] Furthermore, the formula for calculating the standardized visual acuity result is as follows: .

[0030] In the formula, To standardize visual acuity results; This is the original recognition result; Check distance mode for target The corresponding standard distance correction factor.

[0031] Optionally, correction parameters are used to characterize the conversion relationship between the target inspection distance and the standard inspection distance. Correction parameters include result correction values, result mapping values, or equivalent standard record values ​​corresponding to the target inspection distance pattern and / or effective detection distance.

[0032] In practical applications, the mapping table can store the corresponding relationships in the form of target inspection distance mode - original recognition result - correction parameters - standardized result; the rule base can pre-store rules in the form of inspection distance mode - original result type - calculation formula - result output type. When calling the correction relationship, the corresponding correction relationship can be automatically matched according to the current target inspection distance mode and original recognition result, the corresponding correction parameters can be extracted, and then proceed to the subsequent conversion steps.

[0033] For example, when the target inspection distance mode is set to 5m, because ,therefore The original recognition results can be directly output as standardized results, or output after only the result format conversion.

[0034] When the target detection distance mode is set to 3m, if the original decimal visual acuity value is... The corresponding standardized decimal visual acuity value is: .

[0035] When the target detection distance mode is set to 2.5m, if the original decimal visual acuity value is... The corresponding standardized decimal visual acuity value is: .

[0036] The above settings can make the variable distance correction relationship for different inspection distance modes specific, procedural, and callable, avoiding reliance on manual understanding of the result correspondence under different distance modes, thereby improving the automation and consistency of correction result generation.

[0037] S4. Convert the standardized visual acuity results according to the target system to obtain the converted standardized visual acuity results.

[0038] Furthermore, the target format includes at least one of the following: five-minute record value, decimal record value, 6m record value, and 20ft record value.

[0039] Furthermore, the formula for calculating the standardized visual acuity result after the system conversion is as follows: .

[0040] In the formula, This is the standardized vision result after system conversion; To standardize visual acuity results; Check distance mode for target The corresponding standard distance correction factor.

[0041] S5. Based on the original recognition results, the standardized vision results after format conversion, the target inspection distance mode, the target inspection distance and correction parameters, generate structured variable distance correction results.

[0042] Furthermore, the structured variable pitch correction results also include: detection time, device number, detection mode, and output format.

[0043] The results of the variable distance correction can be stored locally or transmitted to the hospital information system, screening platform or research database.

[0044] The technical effects of this application are as follows: This application improves the automation level of variable distance correction and standardized result generation of electronic vision charts, and can perform multiple format conversion output and structured recording, which is convenient for use in multiple scenarios and interconnection, and facilitates product application in collaboration with existing modules.

[0045] Example 2: This example provides a computer system, which can be a server or a terminal, and its internal structure diagram can be as follows. Figure 2 As shown, the computer system includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and databases. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media to run. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements the methods described above.

[0046] Those skilled in the art will understand that Figure 2 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer system to which the present application is applied. A specific computer system may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0047] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0048] The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0049] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0050] 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. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for automatically generating variable distance correction results of an electronic vision chart, characterized in that, The method includes: Obtain the target inspection distance for the subject and configure the target inspection distance mode based on the target inspection distance; The visual acuity of the examinee is tested according to the target inspection distance pattern to obtain the original recognition result; the original recognition result includes at least: the optotypes in the electronic visual acuity chart that the examinee can identify. The distance correction relationship is extracted from the original recognition result, and the original recognition result is converted using the correction parameters to generate a standardized vision result; the distance correction relationship is stored in at least one of the following methods: mapping table storage and rule base storage. The standardized visual acuity results are converted according to the target system to obtain the converted standardized visual acuity results. Based on the original recognition results, the standardized vision results after format conversion, the target inspection distance mode, the target inspection distance and correction parameters, a structured variable distance correction result is generated.

2. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, Obtaining the target inspection distance of the subject specifically includes: obtaining the target inspection distance of the subject by means of selection by the operator and / or by means of effective detection distance acquisition by the sensor.

3. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The target inspection distance modes include any one of the following: 5m mode, 3m mode, and 2.5m mode; wherein, the standard inspection distance corresponding to the 5m mode is 5m; the standard inspection distance corresponding to the 3m mode is 3m; and the standard inspection distance corresponding to the 2.5m mode is 2.5m.

4. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The original recognition result also includes: the original result value corresponding to the visual target level; wherein the original result value is input by the operator or automatically recorded through interaction.

5. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The formula for calculating the correction coefficient is as follows: ； In the formula, Check distance mode for target Corresponding standard distance correction factor; Check distance mode for target The corresponding inspection distance; This is the standard inspection distance.

6. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The formula for calculating the standardized visual acuity result is as follows: ； In the formula, To standardize visual acuity results; This is the original recognition result; Check distance mode for target The corresponding standard distance correction factor.

7. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The formula for calculating the standardized visual acuity result after the system conversion is as follows: ； In the formula, This is the standardized vision result after system conversion; To standardize visual acuity results; Check distance mode for target The corresponding standard distance correction factor.

8. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The target format includes at least one of the following: five-minute record value, decimal record value, 6m record value, and 20ft record value.

9. The method for automatically generating variable distance correction results of an electronic vision chart according to claim 1, characterized in that, The structured pitch correction results also include: detection time, device number, detection mode, and output format.

10. A computer system, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the automatic generation method for variable distance correction results of the electronic vision chart according to any one of claims 1-9.

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