Ophthalmic vision examination data collection and analysis system

Abstract

The invention discloses an ophthalmology department vision examination data collection and analysis system, and relates to the technical field of ophthalmology department vision examination data collection and analysis. An examination data collection module is used for examining and collecting ametropia and eye movement behaviors of a current patient, and an ametropia basic correction unit is used for calculating and outputting correction lens degree JD; an eye movement capturing precision evaluation value Y is calculated and output by utilizing an eye movement capturing precision evaluation unit, a feedback adjustment coefficient T and an updated correction lens degree JDnew are sequentially calculated and output by utilizing an ametropia feedback adjustment correction unit, and a result display module is utilized to display the correction lens degree JDnew. The updated correction lens degree JDnew of current correction and next optometry is displayed to the current patient, correction degree calculation of ametropia is continuously optimized according to the accuracy change of eye movement behavior capture, then the correction effect is improved, meanwhile, a formed feedback cycle mechanism also enables the system to have the self-learning and optimization ability, and the system can be widely applied to the field of medical science, medical science and medical science. And individual differences and disease changes of patients can be continuously adapted.

Description

Technical Field

[0001] The present invention relates to the technical field of ophthalmic vision examination data collection and analysis, and in particular to an ophthalmic vision examination data collection and analysis system. Background Art

[0002] Ophthalmology is a discipline that studies the eyes and related diseases. It provides a solid theoretical foundation for the ophthalmic vision examination data collection and analysis system. Specifically, ophthalmology is a discipline that studies diseases occurring in the visual system, including the eyeball and its associated tissues. Ophthalmology generally studies vitreous and retinal diseases, optometry, glaucoma and optic neuropathy, cataracts and other eye diseases. Vision refers to the ability of the retina to resolve images. The quality of vision is determined by the retina's ability to resolve images. However, when the eye's refractive medium becomes turbid and refractive errors exist, the vision of the eye will still decline even if the retina functions well. The turbidity of the eye's refractive medium can be treated with surgery, while refractive errors need to be corrected with lenses. Before correcting vision, the ophthalmic vision needs to be examined to obtain and analyze the examination data.

[0003] Traditional ophthalmic vision examination methods often only focus on refractive error data and ignore the importance of eye movement behavior data, which results in the correction plan failing to fully consider the individual differences and dynamic changes of patients. Traditional calculation methods often rely only on the experience of optometrists and simple mathematical formulas, lacking scientificity and accuracy. In addition, these methods cannot be dynamically adjusted according to the patient's eye movement behavior data. In addition, traditional ophthalmic vision examination data collection and analysis systems often lack an effective feedback mechanism and cannot be adjusted and optimized in time according to the patient's actual situation. This will lead to poor correction effects and inaccurate correction degrees, and thus fail to form a complete closed-loop system and achieve continuous monitoring and optimization of the patient's vision condition. Summary of the invention

[0004] The purpose of the present invention is to provide an ophthalmic vision examination data collection and analysis system to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solution, including an inspection data collection module, a correction calculation and analysis module and a result display module, wherein the correction calculation and analysis module includes a refractive error basic correction unit, an eye movement capture accuracy assessment unit and a refractive error feedback adjustment correction unit; The specific implementation steps are as follows: Step 1: using the inspection data collection module to inspect and collect the refractive error and eye movement behavior of the current patient, and save them in the system; Step 2: Utilizing the basic refractive error correction unit, calculate and output the correction lens power JD, and save it in the system; Step 3: Based on the correction lens power JD and using the eye movement capture accuracy evaluation unit, calculate and output the eye movement capture accuracy evaluation value Y, and save it in the system; Step 4: Based on the eye movement capture accuracy evaluation value Y, and using the refractive error feedback adjustment correction unit, the output feedback adjustment coefficient T and the updated correction lens power JD are calculated in sequence. new , saved in the system; Step 5: Using the result display module, display the current correction and the updated correction lens power JD for the next optometry test to the current patient. new , and save it in the system; The equipment used in the data collection module includes an optometrist, a laser rangefinder, a corneal topographer, a corneal refractive index meter, and an eye tracking device; The equipment used in the correction calculation and analysis module includes computers and software systems; The equipment used by the result display module includes visual display equipment.

[0006] Optionally, the calculation formula of the refractive error basic correction unit is as follows: ; in: JD is the corrective lens power; QD is the spherical power, which reflects the degree of myopia and hyperopia; SD is the cylindrical power, which reflects the degree of astigmatism; A is the axis of astigmatism; Z is the corneal refractive index; B1 is the first curvature radius of the cornea, B2 is the second curvature radius of the cornea, and B1 and B2 reflect the two main curvature radii of the anterior surface of the cornea; m is the target object distance, and m reflects the distance between the detection target and the patient's eyes.

[0007] Optionally, the spherical lens degree QD measures the degree of myopia and hyperopia, and the specific measurement process is as follows: The patient sits in front of the ophthalmometer, puts his chin on the bracket, puts his forehead close to the instrument, and aligns his eyes with the ophthalmometer's eye hole. During the test, the ophthalmometer emits light and uses a combination of lenses and reflectors to focus the light on the retina, measures the refractive state of the eye, and obtains the spherical degree QD. The cylindrical lens power SD measures the degree of astigmatism. The specific measurement process is as follows: During the measurement process, the ophthalmometer simulates light from different directions and angles entering the eye, observes the focusing of the light on the retina, analyzes the focusing position and shape of the light, and detects the cylindrical power SD and the astigmatism axis A. The specific measurement process of the target object distance m is as follows: During the phoropter refraction procedure, the optometrist sets an object at a known distance as the observation target and uses a laser rangefinder to measure the distance between the observation target and the patient's eye; The specific measurement process of the first corneal curvature radius B1 and the second corneal curvature radius B2 is as follows: The corneal topographer uses laser projection technology to project light onto the corneal surface, observe the reflection of light on the corneal surface, analyze the position and shape of the reflected light, draw a topographic map of the corneal surface, and detect the first corneal curvature radius B1 and the second corneal curvature radius B2.

[0008] Optionally, the calculation formula for evaluating the eye movement capture accuracy unit is as follows: ; ; in: Y is the eye movement capture accuracy evaluation value; F is the instrument resolution, and F reflects the resolution of the eye tracking device; W is the eye movement capture error; X0 is the X-axis of the set track, Y0 is the Y-axis of the set track, and (X0, Y0) reflects one of the fixed points of the set eye movement behavior tracking track; X i is the X-axis of the i-th eye movement trajectory, Y i is the Y axis of the i-th eye movement trajectory, (X i , Y i ) reflects the patient's eye movement fixed point corresponding to the set eye movement track (X0, Y0); S is the eye movement capture time.

[0009] Optionally, the calculation formula for adjusting the correction unit based on refractive error feedback is as follows: ; in: T is the feedback adjustment coefficient; Y prev The last eye movement capture accuracy evaluation value; JD prev The last correction lens degree.

[0010] Optionally, based on the feedback adjustment coefficient T, the adjustment calculation formula of the correction lens power JD is as follows: JD new =JD+T; JD new This is the corrective lens power after the update.

[0011] Optionally, the updated corrective lens power JD new In the next eye examination, directly input it into the eye movement capture accuracy assessment unit and replace JD as follows: ; And in the next refractive error feedback adjustment correction unit, JD prev =JD new .

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention integrates high-precision ophthalmic examination equipment and an eye tracking system, so that the system can comprehensively collect the patient's refractive error and eye movement behavior, providing a more accurate and comprehensive basis for subsequent calculation and analysis.

[0013] 2. The present invention adopts a basic refractive error correction unit, an eye movement capture accuracy evaluation unit and a refractive error feedback adjustment correction unit to perform scientific calculations. It fully considers the impact of eye movement on vision examination on the basis of basic correction of refractive error, thereby improving the accuracy and reliability of the correction plan. At the same time, by calculating the feedback adjustment coefficient T, the system can dynamically adjust and optimize according to the patient's eye movement behavior.

[0014] 3. The present invention calculates the feedback adjustment coefficient T and applies it to the next calculation of the refractive error correction degree, that is, the updated correction lens degree JD new , which has established an effective feedback mechanism for the system. This enables the system to make timely adjustments and optimizations based on the patient's actual situation, thereby improving the correction effect and satisfaction. The system has formed a complete closed-loop system that can continuously monitor and optimize the patient's vision. By continuously collecting and analyzing data, the system can continuously optimize the correction plan and improve the patient's vision level and quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A method flow chart of the ophthalmic vision examination data collection and analysis system; Figure 2 This is a schematic diagram of the inspection structure of the ophthalmometer in the ophthalmic vision inspection data collection and analysis system; Figure 3 This is a schematic diagram of the inspection structure of the corneal topograph in the ophthalmic vision inspection data collection and analysis system; Figure 4 It is a structural schematic diagram of the correction calculation and analysis module of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] The present ophthalmic vision examination data collection and analysis system is different from the existing ophthalmic vision examination data collection and analysis system. The existing ophthalmic vision examination data collection and analysis system ignores the importance of eye movement behavior data, which leads to the correction plan being unable to fully consider the individual differences and dynamic changes of patients, and lacks an effective feedback mechanism, and is unable to make timely adjustments and optimizations according to the actual conditions of patients. The present algorithm unit continuously optimizes the calculation of the correction degree of refractive error according to the changes in the accuracy of eye movement behavior capture, thereby improving the correction effect. At the same time, the feedback loop mechanism formed also enables the system to have the ability of self-learning and optimization, and can continuously adapt to the individual differences and changes in the condition of patients.

[0018] For example, see Figures 1 to 4 , this embodiment provides an ophthalmic vision examination data collection and analysis system, including an examination data collection module, a correction calculation and analysis module and a result display module, the correction calculation and analysis module includes a refractive error basic correction unit, an eye movement capture accuracy assessment unit and a refractive error feedback adjustment correction unit; The specific implementation steps are as follows: Step 1: Use the inspection data collection module to inspect and collect the refractive error and eye movement behavior of the current patient, and save them in the system; Step 2: Calculate and output the correction lens power JD using the refractive error basic correction unit and save it in the system; Step 3: Based on the correction lens power JD and using the eye movement capture accuracy evaluation unit, calculate and output the eye movement capture accuracy evaluation value Y, and save it in the system; Step 4: Based on the eye movement capture accuracy evaluation value Y, and using the refractive error feedback adjustment correction unit, calculate the output feedback adjustment coefficient T and the updated correction lens degree JD in turn. new , saved in the system; Step 5: Use the result display module to show the current correction and the updated correction lens power JD for the next optometry test to the current patient new , and save it in the system; The equipment used in the data collection module includes optometrists, laser rangefinders, corneal topographers, corneal refractive index meters, and eye tracking devices; The equipment used in the correction calculation and analysis module includes computers and software systems; The equipment used in the result display module includes visual display equipment.

[0019] In this embodiment, the system uses three algorithm units, each of which plays an important role in the ophthalmic vision examination data collection and analysis system, and works together to form a closed-loop system. Combining the three operation results of JD, Y and T, the system can not only improve the accuracy and reliability of the correction plan, but also realize continuous monitoring and optimization of the patient's vision condition. Among them, JD is the correction lens degree, which can correct the patient's refractive error problem so that the patient can clearly see the target object. Y is the eye movement capture accuracy evaluation value, which ensures the accuracy of the correction degree by evaluating the accuracy of eye movement behavior capture, and the higher this value is, the more accurate the eye movement capture is, which helps the system to continuously optimize the parameters of eye movement capture in practical applications and further improve the capture accuracy. T is the feedback adjustment coefficient, which can realize dynamic adjustment of the correction lens degree, which helps the system to continuously optimize the correction degree in practical applications and improve the accuracy and personalization of the correction effect. The feedback adjustment coefficient T is calculated in combination with the correction lens degree JD, and the updated correction lens degree JD is also calculated. new , thereby realizing the circular influence on the calculation results of the correction lens power JD, and JD new The calculation results can also affect the next calculation of JD, Y and T, forming a closed-loop influence of circular feedback, thereby continuously optimizing the calculation of the correction degree of refractive error and improving the accuracy and personalization of the correction effect.

[0020] See also Figures 1 to 4 , the calculation formula of the basic correction unit of refractive error is as follows: ; in: JD is the corrective lens power; QD is the spherical power, which reflects the degree of myopia and hyperopia; SD is the cylindrical power, which reflects the degree of astigmatism; A is the axis of astigmatism; Z is the corneal refractive index; B1 is the first curvature radius of the cornea, B2 is the second curvature radius of the cornea, and B1 and B2 reflect the two main curvature radii of the anterior surface of the cornea; m is the target object distance, and m reflects the distance between the detection target and the patient's eyes; The spherical lens degree QD measures the degree of myopia and hyperopia. The specific measurement process is as follows: The patient sits in front of the ophthalmometer, puts his chin on the bracket, puts his forehead close to the instrument, and aligns his eyes with the ophthalmometer's eye hole. During the test, the ophthalmometer emits light and uses a combination of lenses and reflectors to focus the light on the retina, measures the refractive state of the eye, and obtains the spherical degree QD. The cylindrical lens power SD measures the degree of astigmatism. The specific measurement process is as follows: During the measurement process, the ophthalmometer simulates light from different directions and angles entering the eye, observes the focusing of the light on the retina, analyzes the focusing position and shape of the light, and detects the cylindrical power SD and the astigmatism axis A. The specific measurement process of the target object distance m is as follows: During the phoropter refraction procedure, the optometrist sets an object at a known distance as the observation target and uses a laser rangefinder to measure the distance between the observation target and the patient's eye; The specific measurement process of the first corneal curvature radius B1 and the second corneal curvature radius B2 is as follows: The corneal topographer uses laser projection technology to project light onto the corneal surface, observe the reflection of light on the corneal surface, analyze the position and shape of the reflected light, draw a topographic map of the corneal surface, and detect the first corneal curvature radius B1 and the second corneal curvature radius B2.

[0021] In this embodiment: First, in this algorithm unit, " The calculation part takes into account the influence of spherical power QD and cylindrical power SD on the specific astigmatism axis A. Since astigmatism is directional, cos²(A) is used to correct the contribution of cylindrical power SD in a specific direction. The calculation result of this part will be used to calculate part of the total refractive error, together with the corneal refractive index Z, the first corneal curvature radius B1 and the second corneal curvature radius B2, to jointly determine the final correction lens power JD. “ “The calculation part considers the influence of corneal refractive index Z, corneal first curvature radius B1, corneal second curvature radius B2 and target object distance m on refractive error. The refractive index and curvature of the cornea determine the degree of refraction of light when passing through the cornea, which in turn affects the imaging position. The calculation results of this calculation part are used to adjust the refractive error caused by corneal refraction and curvature, so as to ensure that the light can be correctly focused on the retina; Among them, In the calculation part, 2 is used as the denominator to halve the contribution of the cylindrical power SD in a specific direction, because the influence of astigmatism is bidirectional, and only one direction is considered here. In the calculation part, it is used as part of the subtraction operation in the formula to subtract the change in refractive error caused by other factors from 1. In the calculation part, 4 is used as the denominator, multiplied by m, and used to adjust the refractive error changes caused by corneal curvature and refractive index to ensure the accuracy of the calculation; This algorithm unit directly reflects the patient's eye's ability to refract light through the spherical power QD and cylindrical power SD and its astigmatism axis A, which is the basis for correcting refractive errors. The corneal refractive index Z, the first corneal curvature radius B1 and the second corneal curvature radius B2 further consider the cornea's refraction of light, which helps to more accurately determine the shape and power of the corrective lens. The introduction of the target object distance m allows the correction power to be adjusted according to different viewing distances, which is more in line with the actual needs of patients. In this algorithm unit, since each person's eye parameters are unique, the basic refractive error correction unit can tailor a correction plan for the patient based on the individual differences in these parameters. This personalized correction not only improves the correction effect, but also reduces the discomfort and errors in the correction process. The correction lens degree JD calculated by the basic refractive error correction unit helps patients obtain clearer and more comfortable visual effects, which not only improves the patient's visual experience, but also has a positive impact on their daily life and work, thereby improving the overall quality of life.

[0022] See also Figures 1 to 4 , the calculation formula for evaluating the eye movement capture accuracy unit is as follows: ; ; in: Y is the eye movement capture accuracy evaluation value; F is the instrument resolution, and F reflects the resolution of the eye tracking device; W is the eye movement capture error; X0 is the X-axis of the set track, Y0 is the Y-axis of the set track, and (X0, Y0) reflects one of the fixed points of the set eye movement behavior tracking track; X i is the X-axis of the i-th eye movement trajectory, Y i is the Y axis of the i-th eye movement trajectory, (X i , Y i ) reflects the patient's eye movement fixed point corresponding to the set eye movement track (X0, Y0); S is the eye movement capture time In this embodiment, first The calculation part calculates the ratio of the eye movement capture error W to the instrument resolution F, which is used to evaluate the size of the capture error relative to the resolution. This ratio is used to calculate part of the eye movement capture accuracy evaluation value Y, reflecting the impact of the capture error on the accuracy. The calculation part calculates the product of the eye movement capture time S and the calculated correction lens power JD, which is used to evaluate the impact of the capture time on the accuracy, and this product of the calculation part is used to adjust the eye movement capture accuracy evaluation value Y, and it reflects that the longer the capture time, the greater the error introduced, thereby reducing the accuracy; Among them, In the calculation part, 10 is used as the denominator, which is divided by the eye movement capture time S and then squared to adjust the influence of the capture time on the eye movement capture accuracy evaluation value Y to ensure the accuracy of the evaluation result; When detecting eye movement behavior, the system will set the eye movement trajectory, and the doctor will guide the patient to perform eye movement behavior according to the instructions of the eye movement examination, specifically "look to the right, look down...", where (X0, Y0) is one of the reference points detected in the eye movement trajectory, and (X i , Y i ) is the patient's eye movement fixed point corresponding to (X0, Y0) generated by the patient's eye movement command. In the calculation part, the difference between the set trajectory fixed point and the patient's eye movement fixed point is calculated to obtain the eye movement capture error W; This algorithm unit calculates the eye movement capture accuracy evaluation value Y, allowing the system to monitor the accuracy of the capture process in real time. Once the capture accuracy is found to have decreased, the system will immediately make adjustments to ensure the accuracy and effectiveness of the subsequent correction process. According to the eye movement capture accuracy evaluation value Y, the system will automatically adjust the parameters of the eye tracking system. This optimization not only improves the capture efficiency, but also reduces the errors and discomfort caused by inaccurate capture. The application of the eye movement capture accuracy evaluation unit enables the system to capture these changes more accurately, thereby providing patients with more accurate correction plans.

[0023] See also Figures 1 to 4 , the calculation formula of the refractive error feedback adjustment correction unit is as follows: ; in: T is the feedback adjustment coefficient; Y prev The last eye movement capture accuracy evaluation value; JD prev The degree of the last corrected lens; Based on the feedback adjustment coefficient T, the adjustment calculation formula of the correction lens power JD is as follows: JD new =JD+T; JD new This is the corrective lens power after the update.

[0024] In this embodiment, the algorithm unit first The calculation part calculates the last eye movement capture accuracy evaluation value Y prev The relative change between the current eye movement capture accuracy evaluation value Y is used to evaluate the magnitude of the accuracy change. This relative change is used to calculate the feedback adjustment coefficient T and reflects the impact of the accuracy change on the adjustment of the correction lens power JD. The "JD+T" calculation part calculates the sum of the currently calculated correction lens power JD and the feedback adjustment coefficient T, which is used to obtain the updated correction lens power JD that needs to be corrected in combination with the eye movement. new ,This calculation result is used to update the correction lens power JD, ensuring that the system can continuously optimize the correction power according to the changes in the accuracy of eye movement behavior capture; In this algorithm unit, by calculating the feedback adjustment coefficient T, the system can automatically adjust the current updated correction lens power JD according to the change of the eye movement behavior capture accuracy Y new This dynamic adjustment mechanism enables the correction degree to always remain in the best state, thereby improving the accuracy and effectiveness of the correction effect. Dynamic adjustment of the correction degree helps to reduce errors and discomfort caused by inaccurate correction, which not only improves patient satisfaction, but also reduces potential risks caused by improper correction. The application of the refractive error feedback adjustment correction unit enables the system to adapt to the changes in eye parameters and eye movement behavior of different patients. This adaptability and flexibility not only improves the performance of the system; In summary, in the specific implementation process, the refractive error feedback adjustment correction unit calculates the feedback adjustment coefficient T, and then updates the correction lens power JD output by the refractive error basic correction unit, that is, the updated correction lens power JD new , updated correction lens power JD new This is the correction degree that needs to be corrected and combined with eye movement behavior. Therefore, the correction lens degree JD will be updated at the next review. new As the new correction degree, replace the last correction lens degree JD in the refractive error feedback adjustment correction unit prev In this way, the system will continuously optimize the calculation of the correction degree of refractive error according to the changes in the accuracy of eye movement behavior capture, thereby improving the correction effect. At the same time, this feedback loop mechanism also enables the system to have the ability of self-learning and optimization, and can continuously adapt to the individual differences and changes in the condition of patients.

[0025] For example 2, please refer to Figures 1 to 4 , updated correction lens power JD new At the next eye examination, enter it directly into the Evaluate Eye Tracking Accuracy unit and replace JD as follows: ; And in the next refractive error feedback adjustment correction unit, JD prev =JD new .

[0026] In this embodiment, through the feedback mechanism of the refractive error feedback adjustment correction unit to the refractive error basic correction unit, the system will dynamically adjust the correction degree of the refractive error according to the precision and accuracy of the eye movement behavior capture. This dynamic adjustment process can gradually optimize the calculation of the correction lens degree JD to make it more in line with the actual situation of the patient. Therefore, the updated correction lens degree JD new As the current correction degree that needs to be corrected and combined with eye movement behavior, its accuracy has been significantly improved; The feedback adjustment coefficient T in the refractive error feedback adjustment correction unit not only affects the calculation of the correction degree, but also indirectly improves the accuracy of eye movement behavior capture. By continuously iterating and optimizing the parameters in the eye movement capture accuracy unit and the refractive error feedback adjustment correction unit, the eye movement capture system will be more sensitive and accurate, thereby capturing more subtle eye movement behaviors. This improvement in accuracy is of great significance for the diagnosis and treatment of ophthalmic diseases. Adjust the refractive error feedback correction unit and update the correction lens power JD new Applied to the ophthalmic examination process, it can simplify the operation steps, improve the examination efficiency, and obtain the patient's refractive error and eye movement behavior information more quickly, so as to make more accurate diagnosis and treatment decisions. In addition, this optimization can also reduce the patient's waiting time and discomfort, and improve the medical experience; Feedback mechanism of the refractive error feedback adjustment correction unit to the refractive error basic correction unit and the updated correction lens power JD new The application of not only promotes the innovation and development of ophthalmic examination technology, but also provides new ideas and methods for the treatment of ophthalmic diseases. Through continuous research and practice, we further explore the relationship between refractive error and eye movement behavior, and provide more accurate and effective means for the treatment of ophthalmic diseases; In summary, the feedback mechanism of the refractive error feedback adjustment correction unit to the refractive error basic correction unit and the updated correction lens power JD new The application of has many beneficial effects in ophthalmic examination and data collection and analysis systems. These effects not only improve the accuracy of correction degree and the accuracy of eye movement behavior capture, but also optimize the ophthalmic examination process, promote the development of ophthalmic technology and improve patient satisfaction. In actual applications, this system continuously learns and optimizes to adapt to changes in eye parameters and eye movement behavior of different patients, which helps to improve the adaptability and flexibility of the system and provide more accurate and efficient collection and analysis methods for ophthalmic vision examination data collection and analysis.

[0027] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An ophthalmic vision examination data collection and analysis system, characterized in that: It includes an inspection data collection module, a correction calculation and analysis module and a result display module, wherein the correction calculation and analysis module includes a refractive error basic correction unit, an eye movement capture accuracy assessment unit and a refractive error feedback adjustment correction unit; The specific implementation steps are as follows: Step 1: using the inspection data collection module to inspect and collect the refractive error and eye movement behavior of the current patient, and save them in the system; Step 2: Utilizing the basic refractive error correction unit, calculate and output the correction lens power JD, and save it in the system; Step 3: Based on the correction lens power JD and using the eye movement capture accuracy evaluation unit, calculate and output the eye movement capture accuracy evaluation value Y, and save it in the system; Step 4: Based on the eye movement capture accuracy evaluation value Y, and using the refractive error feedback adjustment correction unit, the output feedback adjustment coefficient T and the updated correction lens power JD are calculated in sequence. new , saved in the system; Step 5: Using the result display module, display the current correction and the updated correction lens power JD for the next optometry test to the current patient. new , and saved in the system.

2. The ophthalmic vision examination data collection and analysis system according to claim 1, characterized in that: The equipment used in the data collection module includes an optometrist, a laser rangefinder, a corneal topographer, a corneal refractive index meter, and an eye tracking device; The equipment used in the correction calculation and analysis module includes computers and software systems; The equipment used by the result display module includes visual display equipment.

3. The ophthalmic vision examination data collection and analysis system according to claim 2, characterized in that: The calculation formula of the refractive error basic correction unit is as follows: ； in: JD is the corrective lens power; QD is the spherical power, which reflects the degree of myopia and hyperopia; SD is the cylindrical power, which reflects the degree of astigmatism; A is the axis of astigmatism; Z is the corneal refractive index; B1 is the first curvature radius of the cornea, B2 is the second curvature radius of the cornea, and B1 and B2 reflect the two main curvature radii of the anterior surface of the cornea; m is the target object distance, and m reflects the distance between the detection target and the patient's eyes.

4. The ophthalmic vision examination data collection and analysis system according to claim 3, characterized in that: The spherical lens degree QD measures the degree of myopia and hyperopia, and the specific measurement process is as follows: The patient sits in front of the ophthalmometer, puts his chin on the bracket, puts his forehead close to the instrument, and aligns his eyes with the ophthalmometer's eye hole. During the test, the ophthalmometer emits light and uses a combination of lenses and reflectors to focus the light on the retina, measures the refractive state of the eye, and obtains the spherical degree QD. The cylindrical lens power SD measures the degree of astigmatism. The specific measurement process is as follows: During the measurement process, the ophthalmometer simulates light from different directions and angles entering the eye, observes the focusing of the light on the retina, analyzes the focusing position and shape of the light, and detects the cylindrical power SD and the astigmatism axis A. The specific measurement process of the target object distance m is as follows: During the phoropter refraction procedure, the optometrist sets an object at a known distance as the observation target and uses a laser rangefinder to measure the distance between the observation target and the patient's eye; The specific measurement process of the first corneal curvature radius B1 and the second corneal curvature radius B2 is as follows: The corneal topographer uses laser projection technology to project light onto the corneal surface, observe the reflection of light on the corneal surface, analyze the position and shape of the reflected light, draw a topographic map of the corneal surface, and detect the first corneal curvature radius B1 and the second corneal curvature radius B2.

5. The ophthalmic vision examination data collection and analysis system according to claim 4, characterized in that: The calculation formula for evaluating the eye movement capture accuracy unit is as follows: ； ； in: Y is the eye movement capture accuracy evaluation value; F is the instrument resolution, and F reflects the resolution of the eye tracking device; W is the eye movement capture error; X0 is the X-axis of the set track, Y0 is the Y-axis of the set track, and (X0, Y0) reflects one of the fixed points of the set eye movement behavior tracking track; X i is the X-axis of the i-th eye movement trajectory, Y i is the Y axis of the i-th eye movement trajectory, (X i , Y i ) reflects the patient's eye movement fixed point corresponding to the set eye movement track (X0, Y0); S is the eye movement capture time.

6. The ophthalmic vision examination data collection and analysis system according to claim 5, characterized in that: The calculation formula of the refractive error feedback adjustment correction unit is as follows: ； in: T is the feedback adjustment coefficient; Y prev The last eye movement capture accuracy evaluation value; JD prev The last correction lens degree.

7. The ophthalmic vision examination data collection and analysis system according to claim 6, characterized in that: Based on the feedback adjustment coefficient T, the adjustment calculation formula of the correction lens power JD is as follows: JD new =JD+T; JD new This is the corrective lens power after the update.

8. The ophthalmic vision examination data collection and analysis system according to claim 7, characterized in that: The updated corrective lens power JD new In the next eye examination, directly input it into the eye movement capture accuracy assessment unit and replace JD as follows: ； And in the next refractive error feedback adjustment correction unit, JD prev =JD new .

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