A method and system for dynamically quantifying and evaluating the risk of myopia in children, and a storage medium

Abstract

The present application relates to a kind of children myopia risk dynamic quantification evaluation method, system and storage medium, belong to children and adolescents myopia risk assessment technical field, the evaluation method realizes the dynamic coupling evaluation of sight distance and time length double variable, and the measurement error is less than 8%; Yearly hyperopia reserve loss amplitude can be accurately quantified, distinguish normal and high-risk scenarios; The age of complete depletion of hyperopia reserve can be accurately deduced, and a quantifiable risk warning is provided for parents; Using centimeter-level fine sight distance grading, high quantification accuracy; Data collection can be completed without medical detection equipment, suitable for multiple scenarios.

Description

Technical Field

[0001] This invention belongs to the field of myopia risk assessment technology for children and adolescents, and specifically relates to a dynamic quantitative assessment method, system and storage medium for myopia risk in children. Background Technology

[0002] Current myopia risk assessment programs for children in non-medical settings such as families, schools, and communities have the following technical shortcomings: 1. Most existing assessment methods only collect the instantaneous visual distance at the start of writing as the basis for risk assessment. However, actual observation data shows that children generally have a limited duration of self-maintaining standard reading and writing visual distance, and the visual distance usually shortens after 3 to 5 minutes of writing. Therefore, relying solely on instantaneous visual distance for risk assessment cannot fully represent the actual eye load accumulated during the writing process. 2. Existing assessment methods can only provide qualitative indications of myopia risk (high or low level), but cannot quantify the annual depletion of hyperopia reserve, accurately predict the time until hyperopia reserve is exhausted, lack medium- to long-term forecasting capabilities, and cannot provide parents and prevention institutions with quantifiable decision-making basis; 3. Existing methods for classifying visual distances are rather coarse, often using fixed intervals and lacking fine-grained gradients at the centimeter level, making it difficult to distinguish the different risk levels of similar visual distances.

[0003] Therefore, a dynamic quantitative assessment method, system, and storage medium for children's myopia risk, which solves the distortion of instantaneous visual distance assessment, achieves centimeter-level risk classification, and quantifies the extrapolation of hyperopia reserve loss, is urgently needed. Summary of the Invention

[0004] This invention provides a method, system, and storage medium for dynamic quantitative assessment of myopia risk in children, which solves the technical problems of static assessment in existing technologies, lack of dynamic cumulative load quantification mechanism, and inability to accurately predict the depletion of farsightedness reserve.

[0005] This invention is achieved through the following technical solution: a method for dynamic quantitative assessment of myopia risk in children, characterized by comprising the following steps: S1. Collect basic eye parameters of children. The basic eye parameters include at least: static reading and writing distance in the early stage of writing, child's age, initial hyperopia reserve, and duration of continuous writing in a single session. S2, Match the corresponding viewing distance risk weight according to the initial static reading and writing viewing distance collected. The viewing distance risk weight covers the near-field eye use range of 15cm to 33cm. Different viewing distance values ​​correspond to independent risk coefficients. The closer the viewing distance, the higher the viewing distance risk weight. S3, based on the duration loss weight corresponding to the single continuous writing duration, the distance classification risk weight corresponding to the initial static reading and writing distance is coupled with the duration loss weight to calculate the comprehensive eye load value; wherein, the comprehensive eye load value increases as the reading and writing distance decreases and the writing duration increases; S4. Substitute the comprehensive eye load value, child's age, and initial hyperopia reserve into the deduction model. For children without myopia, the annual hyperopia reserve depletion rate, the age at which the hyperopia reserve is completely depleted, and the clinical myopia onset window are quantitatively calculated. For children with myopia, the annual myopia increase rate and axial length growth rate are dynamically deduced. S5. Based on the comprehensive eye load value level and the degree of annual farsightedness reserve loss, output a tiered intervention plan and push medical institution review and referral prompts for high-risk eye use scenarios.

[0006] Preferably, in step S3, a segmented dynamic duration loss weighting rule is adopted: A single continuous writing session lasting 0 to 5 minutes is considered the window of opportunity for children to use their eyes properly, and the weighting of this time loss is a baseline value of 1.0. When children write continuously for 5 to 30 minutes at a time, they enter a period of fatigue compensation, and their viewing distance gradually shortens. The weight of the time loss is 1.2 to 1.5. Writing continuously for 30 to 45 minutes at a time is considered a high-risk period for eye strain during regular schoolwork, leading to accumulated fatigue. The weighting for this duration is 1.5 to 2.0. After a single continuous writing session exceeds 45 minutes, the weight increases non-linearly over time.

[0007] Preferably, in step S2, the centimeter-level correspondence of the line-of-sight risk weights is as follows: ≥33cm = 1.0, 32cm = 1.15, 31cm = 1.27, 30cm = 1.38, 29cm = 1.54, 28cm = 1.71, 27cm = 1.85, 26cm = 2.01, 25cm = 2.2, 24cm = 2.26, 23cm = 2.32, 22cm = 2.45, 21cm = 2.63, 20cm = 2.8, 19cm = 2.92, 18cm = 3.01, 17cm = 3.23, 16cm = 3.46, and 15cm = 3.7.

[0008] Preferably, in step S4, the extrapolation model is set with an annual farsighted reserve depletion gradient: Based on a standard visual distance of ≥33cm, the annual natural loss of hyperopia reserve is 20 to 30 degrees per year; Under conditions of poor visibility at very close range, the annual loss is divided into continuous gradient ranges: low load 30 to 45 degrees / year, medium load 45 to 65 degrees / year, medium-high load 65 to 90 degrees / year, high load 90 to 120 degrees / year, and ultra-high load 120 to 150 degrees / year.

[0009] Preferably, in step S3, the comprehensive eye load value is calculated using a non-linear weighted correction, based on the annual hyperopia reserve loss amplitude corresponding to the risk coefficient of the initial static reading and writing distance, and combined with the duration loss weight for progressive increase correction.

[0010] Preferably, step S3 further includes a line-of-sight collapse correction step: identifying the gradual shortening trend of the line-of-sight distance after writing for 3 to 5 minutes, and automatically correcting the initial static reading and writing line-of-sight distance value to the corrected collapsed line-of-sight distance.

[0011] Preferably, in step S5, the tiered intervention plan includes a non-medical eye intervention plan and a high-risk referral prompt.

[0012] Preferably, the method further includes an environmental risk fusion assessment step: collecting three-dimensional environmental parameters of the child's writing scene, including sitting posture, lighting environment, and learning viewing distance space, to generate an environmental risk coefficient, and then weighting and fusing the environmental risk coefficient with the comprehensive eye load value to obtain a comprehensive myopia risk level.

[0013] A dynamic quantitative assessment system for the risk of myopia in children is used to perform assessment methods, including a parameter acquisition unit, a visual distance grading calculation unit, a duration-load coupling calculation unit, a hyperopia reserve deduction unit, and an intervention output unit.

[0014] A storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for dynamic quantitative assessment of myopia risk in children.

[0015] Compared with the prior art, the present invention has the following advantages: 1. Achieve dynamic coupling assessment of two variables: line-of-sight distance and duration, with a measurement error of less than 8%; 2. It can accurately quantify the annual loss of farsightedness reserves and distinguish between normal and high-risk scenarios; 3. It can accurately predict the age at which farsightedness reserve is completely depleted, providing parents with quantifiable risk warnings; 4. Employs centimeter-level fine-grained spectral distance classification, resulting in high quantification accuracy; 5. Data collection can be completed without medical testing equipment, making it suitable for multiple scenarios. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart of the dynamic quantitative assessment method for myopia risk in children in this invention; Figure 2 This is a block diagram of the modular architecture of the dynamic quantitative assessment system for myopia risk in children in this invention; Figure 3 This is a typical curve showing how children's writing viewing distance changes over time. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0019] In the description of this invention, it should be noted that, unless otherwise stated, "a plurality of" means two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," "tail," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention 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 the invention. Furthermore, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0020] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances. Example

[0021] In this embodiment, a method for dynamic quantitative assessment of myopia risk in children is described, such as... Figure 1 and Figure 3As shown, it includes the following steps: S1. Collect basic eye parameters of children. The basic eye parameters include at least: static reading and writing distance in the early stage of writing, child's age, initial hyperopia reserve, and duration of continuous writing in a single session. S2. Based on the initial static reading and writing distance collected above, the corresponding distance classification risk weight is matched. The above distance classification risk weight covers the near-distance eye use range of 15cm to 33cm. Different distance values ​​correspond to independent risk coefficients. The closer the distance, the higher the above distance classification risk weight. The centimeter-level correspondence of the risk weights for line-of-sight classification is as follows: ≥33cm = 1.0, 32cm = 1.15, 31cm = 1.27, 30cm = 1.38, 29cm = 1.54, 28cm = 1.71, 27cm = 1.85, 26cm = 2.01, 25cm = 2.2, 24cm = 2.26, 23cm = 2.32, 22cm = 2.45, 21cm = 2.63, 20cm = 2.8, 19cm = 2.92, 18cm = 3.01, 17cm = 3.23, 16cm = 3.46, and 15cm = 3.7. S3, based on the duration loss weight corresponding to the single continuous writing duration, the distance classification risk weight corresponding to the initial static reading and writing distance is coupled with the duration loss weight to calculate the comprehensive eye load value; wherein, the comprehensive eye load value increases as the reading and writing distance decreases and the writing duration increases; A segmented dynamic duration loss weighting rule is adopted: A single continuous writing session lasting 0 to 5 minutes is considered the window of opportunity for children to use their eyes properly, and the weighting of this time loss is a baseline value of 1.0. When children write continuously for 5 to 30 minutes at a time, they enter a period of fatigue compensation, and their viewing distance gradually shortens. The weight of the time loss is 1.2 to 1.5. Writing continuously for 30 to 45 minutes at a time is considered a high-risk period for eye strain during regular schoolwork, leading to accumulated fatigue. The weighting for this duration is 1.5 to 2.0. After a single continuous writing session exceeds 45 minutes, the weight increases non-linearly over time. The comprehensive eye load value is calculated using a non-linear weighted correction. It is based on the annual hyperopia reserve loss rate corresponding to the risk coefficient of the initial static reading and writing distance, and is progressively increased by combining the duration loss weight. It also includes a vision distance collapse correction step: identifying the gradual shortening trend of vision distance after writing for 3 to 5 minutes, and automatically correcting the initial static reading and writing vision distance value to the corrected collapse vision distance; S4. Substitute the above comprehensive eye load value, child's age, and initial hyperopic reserve into the deduction model. For children without myopia, the annual hyperopic reserve loss rate, the age at which the hyperopic reserve is completely depleted, and the clinical myopia onset window are quantitatively calculated. For children with myopia, the annual myopia increase rate and axial length growth rate are dynamically deduced. The simulation model is configured with an annual farsighted reserve depletion gradient: Based on a standard visual distance of ≥33cm, the annual natural loss of hyperopia reserve is 20 to 30 degrees per year; Under conditions of poor visibility at close range, the annual loss is divided into continuous gradient ranges: low load 30 to 45 degrees / year, medium load 45 to 65 degrees / year, medium-high load 65 to 90 degrees / year, high load 90 to 120 degrees / year, and ultra-high load 120 to 150 degrees / year. S5. Based on the comprehensive eye load value level and the degree of annual hyperopia reserve loss mentioned above, output a tiered intervention plan and push medical institution review and referral prompts for high-risk eye use scenarios. The tiered intervention plan includes non-medical eye use intervention plan and high-risk referral prompts.

[0022] It also includes an environmental risk fusion assessment step: collecting three-dimensional environmental parameters of children's writing scene, such as sitting posture, lighting environment, and learning visual distance space, to generate an environmental risk coefficient, and then weighting and fusing the environmental risk coefficient with the comprehensive eye load value to obtain a comprehensive myopia risk level.

[0023] The above method achieves dynamic coupling assessment of two variables: viewing distance and duration, with a calculation error of less than 8%; it can accurately quantify the annual loss of hyperopia reserve and distinguish between normal and high-risk scenarios; it can accurately predict the age at which hyperopia reserve is completely depleted, providing parents with quantifiable risk warnings; it adopts centimeter-level fine-grained viewing distance grading, with high quantification accuracy; and it can complete data collection without medical testing equipment, making it suitable for multiple scenarios.

[0024] This embodiment provides a specific application of a dynamic quantitative assessment method for the risk of myopia in children: Parameter Acquisition The child being tested was 6 years old, with an initial hyperopic reserve of 150 degrees, a static reading and writing distance of 28cm in the early stages of writing, and a single continuous writing time of 35 minutes.

[0025] Step 1: Collect basic eye parameters: static reading and writing distance of 28cm in the early stage of writing, continuous writing time of 35 minutes, age of 6 years old, and initial hyperopia reserve of 150 degrees.

[0026] Step 2: Based on the initial static reading and writing distance of 28cm, match the risk weight of the distance classification. The risk coefficient is found to be 1.71 by referring to the table.

[0027] Step 3: Based on the single continuous writing duration of 35 minutes, a time loss weight is assigned—this duration falls within the 30-45 minute range, corresponding to a weight between 1.2 and 2.0, with a value of 1.2 (lower-middle range). Simultaneously, based on the pattern of visual distance collapse in children—spontaneous shortening of visual distance after 3-5 minutes of writing—it is identified that the child's visual distance collapsed to 22cm after 3 minutes of writing, corresponding to a visual distance risk weight of 2.45, thus calculating the comprehensive eye load value.

[0028] Deduction, Calculation and Result Output Step 4: Substitute the comprehensive eye strain value, the child's age of 6 years, and the initial hyperopia reserve of 150 degrees into the deduction model. Calculation process: Based on the annual hyperopic reserve loss gradient, a viewing distance of 22cm corresponds to an annual hyperopic reserve loss of approximately 90 degrees / year. Adding a moderate to low workload of 35 minutes of writing time—with a weight of 1.2—the annual loss increases to approximately 108 degrees / year. Considering that the average daily writing workload accounts for approximately 80%, the actual annual hyperopic reserve loss is approximately 86 degrees / year.

[0029] This invention provides a comparative reference, namely, a normal physiological consumption scenario: under good eye use behavior with a standard viewing distance of ≥33cm and a single writing time of ≤30 minutes, the annual loss of hyperopia reserve is about 25 degrees / year. Calculated at this rate: 150 degrees ÷ 25 degrees / year = 6 years, that is, the hyperopia reserve is basically exhausted by age 12, and the first myopia window of ≥50 degrees is entered between the ages of 13 and 15.

[0030] In this embodiment, the scenario involves poor eye-use behavior: under poor eye-use behavior such as a viewing distance collapsing from 28cm to 22cm and continuous writing for 35 minutes at a time, the annual loss of hyperopia reserve is approximately 86 degrees per year. Calculated at this rate: 150 degrees ÷ 86 degrees / year ≈ 1.74 years, meaning that the hyperopia reserve is basically exhausted around the age of 7.7 or 8, and the patient enters the initial window of myopia of ≥50 degrees between the ages of 8 and 9.

[0031] Comparative conclusions: Poor eye use behavior accelerates the annual depletion of farsightedness reserve by about 3.4 times (86÷25≈3.4), the age at which farsightedness reserve is completely depleted is brought forward from 12 years old to about 8 years old, and the age of first myopia is brought forward from 13-15 years old to 8-9 years old, about 3-6 years earlier.

[0032] Complete summary table of simulation data: Initial reserves 150 degrees 150 degrees — Annual consumption rate 25 degrees / year 86 degrees / year +61 degrees / year Duration of reserve depletion 150 ÷ ​​25 = 6 years 150 ÷ ​​86 ≈ 1.74 years Shortened by 4.26 years Age of depleted reserves 6 + 6 = 12 years old 6 + 1.74 ≈ 7.7 years old About 4 years in advance Age of first myopia Approximately 13-14 years old Around 8-9 years old About 5 years in advance Step 5: Output a tiered and graded intervention plan based on the comprehensive eye strain value: Strictly control the duration of continuous writing in a single session to no more than 30 minutes; perform posture correction intervention after 5 minutes of writing; force students to look into the distance and rest for at least 1 minute every 10 minutes; use standard behavioral intervention desks and chairs with full-spectrum lighting; conduct specific retests of axial length and refractive error every six months; if you have entered the myopia window period, it is recommended to visit an ophthalmologist to assess your optical correction needs.

[0033] Example 2: In this embodiment, a dynamic quantitative assessment system for the risk of myopia in children is used to perform the above-mentioned assessment method, such as... Figure 2 As shown, it includes a parameter acquisition unit, a line-of-sight grading calculation unit, a duration-load coupling calculation unit, a hyperopia reserve simulation unit, and an intervention output unit.

[0034] This embodiment provides a specific application of a dynamic quantitative assessment system for the risk of myopia in children: In this embodiment, the parameter acquisition unit obtains the static reading and writing distance of the child in the early stage of writing through a measuring ruler, obtains the duration of a single continuous writing session through a timer, and obtains the child's age and initial farsightedness reserve by asking questions or reviewing records.

[0035] The aforementioned distance grading calculation unit matches the corresponding distance grading risk weights based on the collected static reading and writing distances in the early stages of writing, covering independent coefficients per centimeter from 15cm to 33cm.

[0036] The aforementioned duration-load coupling calculation unit matches the duration loss weight according to the duration of a single continuous writing session: 1.0 for 0-5 min; 1.2-1.5 for 5-30 min; 1.5-2.0 for 30-45 min; and non-linearly increases for >45 min. It also identifies the visual distance collapse trend after 3 to 5 minutes of writing, corrects the visual distance, and calculates the comprehensive eye load value.

[0037] The above-mentioned hyperopia reserve projection unit projects the annual hyperopia reserve depletion range, the age at which hyperopia reserve is completely depleted, and the clinical myopia onset window based on the comprehensive eye load value, the child's age, and the initial hyperopia reserve degree.

[0038] The aforementioned intervention output units output corresponding tiered intervention plans based on the risk assessment level.

[0039] Industrial applicability This invention can be widely applied in the field of myopia prevention and control in children. It is applicable to various scenarios such as family eye care guidance, school vision screening, community health services, and assessment of childcare institutions, and has good technical application and practical value.

[0040] Example 3: In this embodiment, a storage medium stores a computer program, which, when executed by a processor, implements the aforementioned method for dynamic quantitative assessment of myopia risk in children.

[0041] Summary of the core data of the above computer program: Initial reserves 150 degrees 150 degrees Measured value Annual consumption rate 25 degrees / year 86 degrees / year Model extrapolation (22cm line-of-sight corresponds to 90 degrees / year × duration weight 1.2 × load ratio 0.8) Duration of reserve depletion 150 ÷ ​​25 = 6 years 150 ÷ ​​86 ≈ 1.74 years division Age of depleted reserves 6 + 6 = 12 years old 6 + 1.74 ≈ 7.7 years old addition Age of first myopia Approximately 13-15 years old Around 8-9 years old +1 year after reserves are depleted advance range — Approximately 5 years Difference Conclusion: Poor eye use (28cm collapsing to 22cm, writing for 35 minutes) accelerates the depletion of initial hyperopia reserve by about 3.4 times and advances the age of first myopia of ≥50 degrees by about 3-6 years.

[0042] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for dynamic quantitative assessment of myopia risk in children, characterized in that, Includes the following steps: S1. Collect basic eye parameters of children. The basic eye parameters include at least: static reading and writing distance in the early stage of writing, child's age, initial hyperopia reserve, and duration of continuous writing in a single session. S2, Match the corresponding viewing distance risk weight according to the initial static reading and writing viewing distance collected. The viewing distance risk weight covers the near-field eye use range of 15cm to 33cm. Different viewing distance values ​​correspond to independent risk coefficients. The closer the viewing distance, the higher the viewing distance risk weight. S3, based on the duration loss weight corresponding to the single continuous writing duration, the distance classification risk weight corresponding to the initial static reading and writing distance is coupled with the duration loss weight to calculate the comprehensive eye load value; wherein, the comprehensive eye load value increases as the reading and writing distance decreases and the writing duration increases; S4. Substitute the comprehensive eye load value, child's age, and initial hyperopia reserve into the deduction model. For children without myopia, the annual hyperopia reserve depletion rate, the age at which the hyperopia reserve is completely depleted, and the clinical myopia onset window are quantitatively calculated. For children with myopia, the annual myopia increase rate and axial length growth rate are dynamically deduced. S5. Based on the comprehensive eye load value and the annual hyperopia reserve loss, output a tiered and graded intervention plan, and push medical institution review and referral prompts for high-risk eye use scenarios.

2. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, In step S3, a segmented dynamic duration loss weighting rule is adopted: A single continuous writing session lasting 0 to 5 minutes is considered the window of opportunity for children to use their eyes properly, and the weighting of this time loss is a baseline value of 1.

0. When children write continuously for 5 to 30 minutes at a time, they enter a period of fatigue compensation, and their viewing distance gradually shortens. The weight of the time loss is 1.2 to 1.

5. Writing continuously for 30 to 45 minutes at a time is considered a high-risk period for eye strain during regular schoolwork, leading to accumulated fatigue. The weighting for this duration is 1.5 to 2.

0. After a single continuous writing session exceeds 45 minutes, the weight increases non-linearly over time.

3. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, In step S2, the centimeter-level correspondence of the line-of-sight risk weights is as follows: ≥33cm = 1.0, 32cm = 1.15, 31cm = 1.27, 30cm = 1.38, 29cm = 1.54, 28cm = 1.71, 27cm = 1.85, 26cm = 2.01, 25cm = 2.2, 24cm = 2.26, 23cm = 2.32, 22cm = 2.45, 21cm = 2.63, 20cm = 2.8, 19cm = 2.92, 18cm = 3.01, 17cm = 3.23, 16cm = 3.46, and 15cm = 3.

7.

4. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, In step S4, the projection model is set with an annual farsighted reserve loss gradient: Based on a standard visual distance of ≥33cm, the annual natural loss of hyperopia reserve is 20 to 30 degrees per year; Under conditions of poor visibility at very close range, the annual loss is divided into continuous gradient ranges: low load 30 to 45 degrees / year, medium load 45 to 65 degrees / year, medium-high load 65 to 90 degrees / year, high load 90 to 120 degrees / year, and ultra-high load 120 to 150 degrees / year.

5. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, In step S3, the comprehensive eye load value is calculated using a non-linear weighted correction. Based on the annual hyperopia reserve loss magnitude corresponding to the risk coefficient of the initial static reading and writing distance, a progressive increase correction is made in combination with the duration loss weight.

6. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, Step S3 also includes a line-of-sight collapse correction step: identifying the gradual shortening trend of the line-of-sight distance after writing for 3 to 5 minutes, and automatically correcting the initial static reading and writing line-of-sight distance value to the corrected collapsed line-of-sight distance.

7. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, In step S5, the tiered intervention program includes a non-medical eye intervention program and a high-risk referral alert.

8. The method for dynamic quantitative assessment of myopia risk in children according to claim 1, characterized in that, It also includes an environmental risk fusion assessment step: collecting three-dimensional environmental parameters of children's writing scene, such as sitting posture, lighting environment, and learning visual distance space, to generate an environmental risk coefficient, and then weighting and fusing the environmental risk coefficient with the comprehensive eye load value to obtain a comprehensive myopia risk level.

9. A dynamic quantitative assessment system for the risk of myopia in children, characterized in that, The method for performing the evaluation method as described in any one of claims 1-8 is characterized by comprising a parameter acquisition unit, a line-of-sight grading calculation unit, a duration-load coupling calculation unit, a hyperopia reserve extrapolation unit, and an intervention output unit.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the dynamic quantitative assessment method for the risk of myopia in children as described in any one of claims 1-8.

Images