Method, device, storage medium and system for assessing the risk of myopia in children

Abstract

The present invention relates to the technical field of risk assessment for myopia in children, and provides a method, device, storage medium and system for risk assessment for myopia in children. In some embodiments, the method includes: obtaining basic information and eye bio-optical data of a tester; calculating the axial range of the tester according to the basic information and eye bio-optical data; based on the calculated axial range, analyzing the myopia risk of the tester according to the measured axial value of the tester; and outputting a prompt related to the myopia risk of the tester according to the analysis result. The present invention uses axial data to assess future myopia risk, improves the efficiency of clinical examinations, reduces measurement errors caused by subjective optometry, and avoids unnecessary drug use and side effects.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment for myopia in children, and in particular to a method, device, storage medium and system for risk assessment for myopia in children. Background Art

[0002] Current epidemiological evidence suggests that the prevalence of myopia will continue to increase. Myopia can lead to decreased unaided distance vision, as well as other eye complications such as retinal detachment and glaucoma, which can lead to permanent vision loss and could become a major public health crisis. Myopia is a refractive error that is often more common in children and adolescents. The earlier the age of onset, the faster myopia progresses, increasing the risk of high myopia and its related complications.

[0003] In the existing technology, there are two common measurement methods for monitoring the refractive development of adolescents and children. One is to obtain the refractive power through small pupil refraction, which is related to the subjective cooperation of adolescents and children, and the data results fluctuate greatly, and the clinical significance is limited; the other is to use drug dilation optometry (to correctly measure the degree of hyperopia in children), which is related to the type of drugs used, and the drugs have side effects such as blurred vision and photophobia, and the examination time is long, which is difficult to be used as a widespread and frequent measurement method in clinical practice. Summary of the invention

[0004] The present invention provides a method, device, storage medium and system for assessing the risk of myopia in children, which utilizes axial length data to assess future myopia risk, improves the efficiency of clinical examinations, reduces measurement errors caused by subjective optometry, and avoids unnecessary use of drugs and their side effects.

[0005] According to a first aspect of the present invention, an embodiment of the present invention relates to a method for assessing the risk of myopia in children, comprising:

[0006] Obtain the tester's basic information and eye bio-optical data;

[0007] Calculating the eye axis range of the tester according to the basic information and eye bio-optical data;

[0008] Based on the calculated axial length range, analyzing the myopia risk of the test subject according to the measured axial length value of the test subject;

[0009] Output a prompt related to the myopia risk of the test subject according to the analysis result.

[0010] In some embodiments, the basic information includes the gender and age of the tester; the eye bio-optical data includes the measured axial length value and the average corneal curvature.

[0011] In some embodiments, calculating the eye axis range of the test subject according to the basic information and eye bio-optical data includes:

[0012] Determining the equivalent spherical threshold for defining the safe range, critical range and myopia risk range of hyperopia reserve according to the age of the test subject;

[0013] The eye axis range of the tester is calculated according to the determined equivalent spherical threshold and the obtained average corneal curvature.

[0014] In some embodiments, the safe range, critical range, and myopia risk range of hyperopia reserve are defined by spherical equivalent, wherein the spherical equivalent thresholds for defining the safe range, critical range, and myopia risk range of hyperopia reserve include:

[0015] The spherical equivalent thresholds for 6-year-old testers are +1.50D and -0.50D, where a spherical equivalent greater than +1.50D is a safe range, less than -0.50D is a myopia risk range, and between +1.50D and -0.50D is a critical range;

[0016] The spherical equivalent thresholds for 7-year-old testers are +1.25D and -0.50D, where a spherical equivalent greater than +1.25D is a safe range, less than -0.50D is a myopia risk range, and between +1.25D and -0.50D is a critical range;

[0017] The spherical equivalent thresholds for testers aged 8 are +1.00D and -0.50D, where a spherical equivalent greater than +1.00D is a safe range, less than -0.50D is a myopia risk range, and between +1.00D and -0.50D is a critical range;

[0018] The spherical equivalent thresholds for testers aged 9-10 are +0.75D and -0.50D. A spherical equivalent greater than +0.75D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.75D and -0.50D is in the critical range.

[0019] The spherical equivalent thresholds for testers aged 11-12 are +0.50D and -0.50D, where a spherical equivalent greater than +0.50D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.50D and -0.50D is in the critical range;

[0020] The spherical equivalent thresholds for testers aged 13-14 are +0.25D and -0.50D, where an equivalent spherical lens greater than +0.25D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.25D and -0.50D is in the critical range.

[0021] In some embodiments, based on the calculated axial length range, analyzing the myopia risk of the test subject according to the measured axial length value of the test subject comprises:

[0022] If the measured axial length value of the test subject is less than the lower limit value of the calculated axial length range, the risk of myopia of the test subject is low;

[0023] If the measured axial length value of the test subject is greater than the upper limit value of the calculated axial length range, the risk of the test subject developing myopia is high.

[0024] In some embodiments, outputting a prompt related to the myopia risk of the test subject according to the analysis result includes:

[0025] If the measured axial length value of the tester is lower than the calculated axial length range of the tester, a prompt indicating that the tester is safe is output;

[0026] If the measured axial length value of the tester falls within the calculated axial length range of the tester, a prompt is outputted indicating that the tester has a first risk of developing myopia;

[0027] If the measured axial length value of the tester is higher than the calculated axial length range of the tester, a prompt is outputted that the tester has a second risk of developing myopia, and the second risk is higher than the first risk.

[0028] In some embodiments, the equivalent spherical threshold and the average corneal curvature are provided to a data model reflecting the relationship between the eye axis and the corneal curvature and the diopter, and the eye axis range of the tester is calculated by the data model;

[0029] The data model is as follows:

[0030] AL=a+b*Km+c*SERE,

[0031] Wherein, AL represents the eye axis, Km represents the mean corneal curvature, SERE represents the equivalent spherical lens, a represents the intercept, b represents the corneal curvature adjustment coefficient (co-efficient), and c represents the equivalent spherical lens adjustment coefficient (co-efficient).

[0032] In some embodiments, the data model is established by:

[0033] Collecting initial data, wherein the initial data includes age, gender, SERE, spherical refractive power, Km and flat corneal curvature of the individual;

[0034] The initial data collected were grouped by age and gender;

[0035] For each set of data, univariate linear regression analysis was performed with axial length as the dependent variable and each of SERE, spherical refractive power, Km, and flat keratometric curvature as the independent variable;

[0036] The predictors of axial length were screened out through the univariate linear regression analysis, and the predictors included SERE and Km;

[0037] Multivariate linear regression analysis was performed with axial length as the dependent variable and SERE and Km as independent variables;

[0038] The data model is established according to the multi-factor linear regression analysis.

[0039] In some embodiments, the basic information and ocular bio-optical data of the test subject are obtained by any one or more of the following methods:

[0040] Receiving basic information and / or eye bio-optical data of the test subject inputted through a human-machine interface;

[0041] The basic information and / or eye bio-optical data of the test subject transmitted remotely via the network are received through the network interface.

[0042] In some embodiments, the prompt related to the test subject's myopia risk includes one or more of a sound prompt, a visual prompt, and a tactile prompt.

[0043] According to a second aspect of the present invention, an embodiment of the present invention relates to a device for assessing the risk of myopia in children, comprising:

[0044] a memory having computer readable instructions stored thereon;

[0045] A processor executes the computer-readable instructions to implement the method described in any one of the above embodiments.

[0046] According to a third aspect of the present invention, an embodiment of the present invention relates to a storage medium, on which computer-readable instructions are stored. The computer-readable instructions can be executed by a processor to implement the method described in any of the above embodiments.

[0047] According to a fourth aspect of the present invention, an embodiment of the present invention relates to a child myopia risk assessment system, which comprises:

[0048] The data collection end collects the basic information of the tester and the ocular bio-optical data;

[0049] A database end, which is in communication connection with the data acquisition end and is used to store the basic information and eye bio-optical data of the tester;

[0050] A service application end, which is in communication connection with the database end, and is used to perform the following operations: calculating the axial length range of the tester according to the basic information and the eye bio-optical data; based on the calculated axial length range, analyzing the myopia risk of the tester according to the measured axial length value of the tester;

[0051] The client is connected to the service application end for outputting a prompt related to the myopia risk of the test subject according to the analysis result of the service application end.

[0052] In some embodiments, the basic information includes the gender and age of the tester; the eye bio-optical data includes the measured axial length value and the average corneal curvature.

[0053] In some embodiments, calculating the eye axis range of the test subject according to the basic information and eye bio-optical data includes:

[0054] Determining the equivalent spherical threshold for defining the safe range, critical range and myopia risk range of hyperopia reserve according to the age of the test subject;

[0055] The eye axis range of the tester is calculated according to the determined equivalent spherical threshold and the obtained average corneal curvature.

[0056] In some embodiments, the database further stores the equivalent spherical thresholds defining the safe range, critical range, and myopia risk range of the hyperopia reserve according to age, including:

[0057] The spherical equivalent thresholds for 6-year-old testers are +1.50D and -0.50D, where a spherical equivalent greater than +1.50D is a safe range, less than -0.50D is a myopia risk range, and between +1.50D and -0.50D is a critical range;

[0058] The spherical equivalent thresholds for 7-year-old testers are +1.25D and -0.50D, where a spherical equivalent greater than +1.25D is a safe range, less than -0.50D is a myopia risk range, and between +1.25D and -0.50D is a critical range;

[0059] The spherical equivalent thresholds for testers aged 8 are +1.00D and -0.50D, where a spherical equivalent greater than +1.00D is a safe range, less than -0.50D is a myopia risk range, and between +1.00D and -0.50D is a critical range;

[0060] The spherical equivalent thresholds for testers aged 9-10 are +0.75D and -0.50D. A spherical equivalent greater than +0.75D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.75D and -0.50D is in the critical range.

[0061] The spherical equivalent thresholds for testers aged 11-12 are +0.50D and -0.50D, where a spherical equivalent greater than +0.50D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.50D and -0.50D is in the critical range;

[0062] The spherical equivalent thresholds for testers aged 13-14 are +0.25D and -0.50D, where an equivalent spherical lens greater than +0.25D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.25D and -0.50D is in the critical range.

[0063] In some embodiments, based on the calculated axial length range, analyzing the myopia risk of the test subject according to the measured axial length value of the test subject comprises:

[0064] If the measured axial length value of the test subject is less than the lower limit value of the calculated axial length range, the risk of myopia of the test subject is low;

[0065] If the measured axial length value of the test subject is greater than the upper limit value of the calculated axial length range, the risk of the test subject developing myopia is high.

[0066] In some implementations, outputting a prompt related to the myopia risk of the tester according to the analysis result of the service application includes:

[0067] If the measured axial length value of the tester is lower than the calculated axial length range of the tester, a prompt indicating that the tester is safe is output;

[0068] If the measured axial length value of the tester falls within the calculated axial length range of the tester, a prompt is outputted indicating that the tester has a first risk of developing myopia;

[0069] If the measured axial length value of the tester is higher than the calculated axial length range of the tester, a prompt is outputted that the tester has a second risk of developing myopia, and the second risk is higher than the first risk.

[0070] In some embodiments, at the service application end, the equivalent spherical lens threshold and the average corneal curvature are provided to a data model reflecting the relationship between the eye axis and the corneal curvature and the diopter, and the eye axis range of the tester is calculated by the data model;

[0071] The data model is as follows:

[0072] AL=a+b*Km+c*SERE,

[0073] Among them, AL represents the eye axis, Km represents the mean corneal curvature, SERE represents the equivalent spherical lens, a represents the intercept, b represents the corneal curvature adjustment coefficient, and c represents the equivalent spherical lens adjustment coefficient.

[0074] In some embodiments, the data model is established by:

[0075] Initial data are collected, and the initial data include individual age, gender, SERE, spherical refractive power, Km and flat corneal curvature; the more the initial data, the higher the calculation accuracy of the established data model, and on this basis, the present invention has no requirements for the specific value of the amount of initial data.

[0076] The large amount of initial data collected was grouped by age and gender;

[0077] For each set of data, univariate linear regression analysis was performed with axial length as the dependent variable and each of SERE, spherical refractive power, Km, and flat keratometric curvature as the independent variable;

[0078] The predictors of axial length were screened out through the univariate linear regression analysis, and the predictors included SERE and Km;

[0079] Multivariate linear regression analysis was performed with axial length as the dependent variable and SERE and Km as independent variables;

[0080] The data model is established according to the multi-factor linear regression analysis.

[0081] In some embodiments, the basic information and ocular bio-optical data of the test subject are collected by any one or more of the following methods:

[0082] Receiving input of basic information and / or eye bio-optical data of the test subject through a human-machine interface;

[0083] The basic information and / or eye bio-optical data of the test subject transmitted remotely via the network are received through the network interface.

[0084] In some embodiments, the prompt related to the test subject's myopia risk includes one or more of a sound prompt, a visual prompt, and a tactile prompt.

[0085] In some embodiments, the sound prompt includes a voice broadcast of the analysis result;

[0086] The visual prompt includes: displaying different analysis results in different patterns or colors, or printing the analysis results;

[0087] The tactile prompt includes: using different vibration frequencies and / or amplitudes to indicate different analysis results.

[0088] The implementation of the present invention has the following beneficial effects:

[0089] According to an embodiment of the present invention, the axial range of the tester is calculated based on the tester's basic information such as age and eye bio-optical data such as average corneal curvature, and the tester's myopia risk is evaluated in combination with the actual measured value of the axial length. Thus, through convenient and contactless measurement of eye bio-optical data (average corneal curvature, axial length), the myopia risk is calculated and compared using a multi-factor linear regression equation. The data has good stability and is easy to promote widely, which can promote refractive development monitoring and evaluation services to more effectively and widely cover the grassroots population.

[0090] Various aspects, features, advantages, etc. of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. According to the following detailed description in conjunction with the accompanying drawings, the above aspects, features, advantages, etc. of the present invention will become more clear. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 is a flow chart showing a method for assessing the risk of myopia in children according to an embodiment of the present invention;

[0092] Figure 2 is a flow chart showing a method for establishing a data model reflecting the relationship between the eye axis and the corneal curvature and diopter according to an embodiment of the present invention;

[0093] Figure 3 is a schematic diagram showing a device for assessing the risk of myopia in children according to an embodiment of the present invention;

[0094] Figure 4 is a schematic diagram showing a system for assessing the risk of myopia in children according to an embodiment of the present invention;

[0095] Figure 5 This is a functional architecture diagram of the risk assessment of myopia in children according to an embodiment of the present invention. DETAILED DESCRIPTION

[0096] In order to facilitate understanding of various aspects, features and advantages of the technical solution of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the various embodiments described below are only for illustration and are not intended to limit the scope of protection of the present invention.

[0097] The inventor has found through research that the length of the eyeball is short when people are born, and the average degree of the eye is generally around +3.00 degrees (called hyperopia reserve). With age, the eye axis grows physiologically, and the degree of hyperopia will slowly decrease until it stays in a state of low hyperopia in adulthood. When children are in the growth and development period, incorrect eye habits will stimulate the rapid growth of the eye axis. When the growth rate exceeds the normal physiological eye axis growth rate, it will accelerate the consumption of hyperopia reserve. The eye axis continues to grow, causing the degree of the eye to transition from hyperopia (positive degree) to emmetropia (plano / 0 degrees) and finally enter the myopia range (negative degree), thereby causing myopia. Therefore, the present invention proposes a method for predicting or evaluating the risk of myopia in children, which calculates the eye axis range of the tester based on basic information such as age and eye bio-optical data such as average corneal curvature, and combines the measured value of the eye axis to evaluate the risk of myopia in the tester. Figure 1 An example of a method for predicting or assessing the risk of myopia in children according to the present invention is shown.

[0098] In an embodiment, if Figure 1 As shown, a method for assessing the risk of myopia in children includes:

[0099] S101, obtaining basic information and eye bio-optical data of the tester; for example, the basic information includes the gender and age of the tester; the eye bio-optical data includes the measured eye axis value and the average corneal curvature.

[0100] S102, calculating the eye axis range of the tester according to the basic information and eye bio-optical data.

[0101] S103, based on the calculated axial length range, analyzing the myopia risk of the test subject according to the actually measured axial length value of the test subject.

[0102] S104, outputting a prompt (message, information) related to the myopia risk of the test subject according to the analysis result.

[0103] In some embodiments, in step S101, the basic information and eye bio-optical data of the test subject are obtained by any one or more of the following methods:

[0104] Receiving input of basic information and / or ocular bio-optical data of the test subject through a human-machine interface (e.g., a graphical user interface, a keyboard, etc.);

[0105] The basic information and / or eye bio-optical data of the test subject transmitted remotely via the network are received through a network interface (eg, an Ethernet interface, a wireless network interface, etc.).

[0106] In some embodiments, in step S102, the axial range of the test subject is calculated based on the basic information and the ocular bio-optical data, including: determining the equivalent spherical threshold that defines the safe range, critical range, and myopia risk range of the hyperopia reserve based on the age of the test subject; and calculating the axial range of the test subject based on the equivalent spherical threshold and the average corneal curvature. Among them, the safe range of the hyperopia reserve means that the risk of myopia is relatively low and relatively safe; the myopia risk range of the hyperopia reserve means that the risk of myopia is high; between the safe range and the myopia risk range is the critical range, which means there is a risk of myopia.

[0107] In some embodiments, the safety range, critical range, and myopia risk range of hyperopia reserve are defined by an equivalent spherical lens, wherein the equivalent spherical lens thresholds used to define the safety range, critical range, and myopia risk range of hyperopia reserve include a safety threshold and a myopia threshold, wherein an equivalent spherical lens greater than the safety threshold belongs to the safety range, an equivalent spherical lens less than the myopia threshold belongs to the myopia risk range, and an equivalent spherical lens between the safety threshold and the myopia threshold belongs to the critical range. In some embodiments, the critical range is a numerical range greater than or equal to the myopia threshold and less than or equal to the safety threshold.

[0108] In some embodiments, the spherical equivalent thresholds for defining the safe range, critical range, and myopia risk range of hyperopia reserve include: a safe threshold of +1.50D and a myopia threshold of -0.50D for a 6-year-old tester, a safe threshold of +1.25D and a myopia threshold of -0.50D for a 7-year-old tester, a safe threshold of +1.00D and a myopia threshold of -0.50D for an 8-year-old tester, a safe threshold of +0.75D and a myopia threshold of -0.50D for a 9-10-year-old tester, a safe threshold of +0.50D and a myopia threshold of -0.50D for a 11-12-year-old tester, and a safe threshold of +0.25D and a myopia threshold of -0.50D for a 13-14-year-old tester.

[0109] Specifically, for testers aged 6, the spherical equivalent is greater than +1.50D, which is in the safe range; less than -0.50D is in the myopia risk range (high myopia risk); between +1.50D and -0.50D is in the critical range (with myopia risk). For testers aged 7, the spherical equivalent is greater than +1.25D, which is in the safe range; less than -0.50D is in the myopia risk range; between +1.25D and -0.50D is in the hyperopia reserve critical range. For testers aged 8, the spherical equivalent is greater than +1.00D, which is in the safe range; less than -0.50D is in the myopia risk range; between +1.00D and -0.50D is in the hyperopia reserve critical range. For testers aged 9 to 10, the spherical equivalent is greater than +0.75D, which is in the safe range; less than -0.50D is in the myopia risk range; between +0.75D and -0.50D is in the hyperopia reserve critical range. For testers aged 11 to 12, the spherical equivalent of more than +0.50D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.50D and -0.50D is in the hyperopia reserve critical range. For testers aged 13 to 14, the spherical equivalent of more than +0.25D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.25D and -0.50D is in the hyperopia reserve critical range.

[0110] In some embodiments, the equivalent spherical lens thresholds corresponding to the safety range, critical range, and myopia risk range may be stored in a database or in a configuration file according to age groups. For example, they may be stored or configured in the form of Table 1 below.

[0111] Table 1: Spherical equivalent thresholds for defining safe range, critical range and myopia risk range for hyperopia reserve

[0112]

[0113]

[0114] In some embodiments, in step S102, the equivalent spherical threshold and the average corneal curvature are provided (including input, transmission, sending, etc.) to a data model reflecting the relationship between the axial line and the corneal curvature and the refractive power, and the axial line range of the tester is calculated by the data model.

[0115] In some embodiments, the data model is as follows:

[0116] AL=a+b*Km+c*SERE,

[0117] Wherein, AL represents the eye axis, Km represents the mean corneal curvature, SERE represents the equivalent spherical lens, a represents the intercept, b represents the corneal curvature adjustment coefficient, and c represents the equivalent spherical lens adjustment coefficient. In some embodiments, the coefficients a, b, and c are obtained after performing multiple linear regression analysis on the initial data during the data model establishment process. In some embodiments, the coefficients a, b, and c are divided into a hyperopia group and a myopia group, and are stored according to age and gender (as shown in Tables 2 and 3 below). When used to calculate the eye axis range of the tester, the values ​​of the coefficients a, b, and c suitable for the tester can be selected according to the tester's gender, age, and equivalent spherical lens threshold.

[0118] In some embodiments, Figure 2 As shown, the data model is established in the following manner:

[0119] S201, collecting a large amount of initial data, wherein the initial data includes individual age, gender, SERE, spherical refractive power, Km and flat corneal curvature.

[0120] S202, grouping the large amount of collected initial data by age and gender.

[0121] S203, for each set of data, a single factor linear regression (ie, simple linear regression) analysis was performed with the axial length AL as the dependent variable and each of SERE, spherical refractive power, Km and flat keratometric curvature as the independent variable.

[0122] S204, screening out predictive factors of eye axis through the univariate linear regression analysis, wherein the predictive factors include SERE and Km.

[0123] S205, multivariate linear regression analysis was performed with axial length as the dependent variable and SERE and Km as independent variables;

[0124] S206, establishing the data model according to the multi-factor linear regression analysis:

[0125] AL=a+b*Km+c*SERE

[0126] Among them, coefficients a, b, and c are obtained based on the initial data analysis during the multivariate linear regression analysis, and are divided into hyperopia group and myopia group, and stored according to age and gender.

[0127] In an exemplary embodiment, at step S205, the multi-factor linear regression (ie, multiple linear regression) analysis includes:

[0128] Step 1: Group the original data by age, gender, and hyperopia or myopia, for example:

[0129] Age 6-6.9 years, male, spherical equivalent>+0.50D group

[0130] Age 6-6.9 years, male, spherical equivalent <-0.50D group

[0131] Age 6-6.9 years, female, spherical equivalent>+0.50D group

[0132] Age 6-6.9 years, female, spherical equivalent <-0.50D group

[0133] Axis AL = y

[0134] Corneal mean curvature Km = X1

[0135] Equivalent spherical mirror SERE = X2

[0136] The multiple linear regression formula is y=a+b*X1+c*X2

[0137] Step 2: Calculate X1 for each group 2 , X2 2 , X1*Y, X2*Y, X1*X2.

[0138] Step 3: Calculate the regression sum of squares as follows:

[0139] Σx1 2 =ΣX1 2 –(ΣX1) 2 / n,

[0140] Σx2 2 =ΣX2 2 –(ΣX2) 2 / n,

[0141] Σx1y=ΣX1y–(ΣX1Σy) / n,

[0142] Σx2y=ΣX2y–(ΣX2Σy) / n,

[0143] Σx1x2=ΣX1X2–(ΣX1ΣX2) / n.

[0144] Step 4: Calculate the b and c values ​​as follows:

[0145] b=[(Σx2 2 )(Σx1y)–(Σx1x2)(Σx2y)] / [(Σx1 2 )(Σx2 2 )–(Σx1x2) 2 ],

[0146] c=[(Σx1 2 )(Σx2y)–(Σx1x2)(Σx1y)] / [(Σx1 2 )(Σx2 2)–(Σx1x2) 2 ].

[0147] Step 5: Calculate the value of a as follows:

[0148] Assume: y = 0,

[0149] Calculation: a=y–bX1–cX2.

[0150] Step 6: Substitute the obtained values ​​of a, b and c into the formula y=a+bX1+cX2 to obtain the data model.

[0151] In the above linear regression analysis process, the values ​​of a, b, and c for the male group were determined as shown in Table 2 below.

[0152] Table 2: Values ​​of linear regression coefficients a, b, and c for the male group

[0153]

[0154] The values ​​of a, b, and c for the female group can also be determined according to the above method. In some embodiments, the values ​​of a, b, and c for the female group are shown in Table 3 below.

[0155] Table 3: Values ​​of linear regression coefficients a, b, and c for the female group

[0156]

[0157] In some embodiments, the above Table 2 and Table 3 can be pre-stored in a database in the form of a database table. When calculating the axial length range, the processor of the system or device searches and reads the corresponding value from the database according to basic information such as the age and gender of the tester.

[0158] In some embodiments, in step S103, based on the calculated axial length range, the myopia risk of the test subject is analyzed according to the measured axial length value of the test subject, including:

[0159] If the measured axial length value of the test subject is less than the lower limit value of the calculated axial length range, the risk of myopia of the test subject is low;

[0160] If the measured axial length value of the test subject is greater than the upper limit value of the calculated axial length range, the risk of the test subject developing myopia is high.

[0161] In some implementations, in step S104, outputting a prompt related to the myopia risk of the test subject according to the analysis result includes:

[0162] If the measured axial length value of the tester is lower than the calculated axial length range of the tester, a prompt indicating that the tester is safe (e.g., low risk) is output;

[0163] If the measured axial length value of the tester falls within the calculated axial length range of the tester, a prompt is outputted indicating that the tester has a first risk (e.g., medium risk) of developing myopia;

[0164] If the measured axial length value of the tester is higher than the calculated axial length range of the tester, a prompt is outputted that the tester has a second risk (eg, high risk) of developing myopia, and the second risk is higher than the first risk.

[0165] In some other embodiments, in step S104, outputting a prompt related to the myopia risk of the test subject according to the analysis result includes:

[0166] If the measured axial value of the tester is lower than the calculated axial value range, a prompt is outputted indicating that the measured axial value of the tester falls within the safe range of hyperopia reserve;

[0167] If the measured axial length value of the tester falls within the calculated axial length range, a prompt is outputted indicating that the measured axial length value of the tester falls within the critical range of hyperopia reserve;

[0168] If the actually measured axial length value of the test subject is higher than the calculated axial length range, a prompt is outputted indicating that the actually measured axial length value of the test subject falls within the myopia risk range.

[0169] In some embodiments, the prompts related to the myopia risk of the test subject include one or more of voice prompts, visual prompts, and tactile prompts. For example, the myopia risk of the test subject is announced by voice, or low risk, medium risk, and high risk of myopia are indicated in green, yellow, and red, respectively. In some embodiments, the low risk, medium risk, and high risk of myopia can be distinguished by the vibration frequency or amplitude.

[0170] In an exemplary embodiment, the eye axis, corneal curvature data and basic information (birthday, gender, etc.) of the tester are collected;

[0171] According to the age of the tester, the preset equivalent spherical lens threshold (see Table 1) and corneal curvature are input into the data model to calculate the corresponding axial range;

[0172] For example, 6-year-old male, Km is 43. According to Table 1, the safety threshold of SERE corresponding to the critical range of hyperopia reserve for the 6-year-old group is +1.50D, and the myopia threshold is -0.50D. Substitute these values ​​into AL = a + b * Km + c * SERE for calculation, as follows:

[0173] The calculation of the lower limit threshold of AL corresponding to the safety threshold of +1.50D includes: obtaining the coefficients a of 38.52, b of -0.35, and c of -0.37 for the 6-year-old male tester from the hyperopia group in Table 2, so that the lower limit threshold of AL corresponding to the critical range of hyperopia reserve is:

[0174] AL=38.52+(-0.35)*43+(-0.37*1.50)=22.92(mm);

[0175] The calculation of the upper limit threshold of AL corresponding to the myopia threshold of -0.50D includes: obtaining the coefficients a of 39.57, b of -0.38, and c of -0.44 for the 6-year-old male tester from the myopia group in Table 2, so that the upper limit threshold of AL corresponding to the critical range of hyperopia reserve is:

[0176] AL=39.57+(-0.38)*43+(-0.44*-0.50)=23.45(mm);

[0177] Therefore, the axial length range of the tester corresponding to the critical range of hyperopia reserve is 22.92 to 23.45 mm.

[0178] If the tester's actual measured axial length is <22.92mm, it means that the tester's equivalent spherical lens is >+1.50D, and the hyperopia reserve is within the safe range, indicating safety (low risk of myopia), and the green indicator can be displayed (low risk);

[0179] If the tester's actual measured axial length is between 22.92 and 23.45 mm, it means that the tester's equivalent spherical lens is between +1.50D and -0.50D, which is in the critical range of hyperopia reserve and has the risk of myopia, and can be indicated as yellow (medium risk);

[0180] If the actual measured axial length of the test subject is >23.45mm, it means that the test subject's equivalent spherical lens may have exceeded -0.50D, and may have myopia, which is in the high-risk range of myopia. It may be prompted in red (high risk) and further in-depth examination may be recommended.

[0181] It should be understood that the methods or steps described in the above embodiments can be programmed as programs or instructions and stored on a computer-readable storage medium. Therefore, the embodiments of the present invention also relate to a storage medium on which computer-readable instructions or programs are stored, and the computer-readable instructions or programs are executed by a processor to perform the processing, operation or steps of the method described in any of the above embodiments. In addition, a device including the storage medium and the processor can be used for risk assessment of myopia in children.

[0182] In some embodiments, Figure 3 As shown, the device for assessing the risk of myopia in children includes:

[0183] Memory 301, on which computer-readable instructions are stored;

[0184] The processor 302 executes the computer-readable instructions to implement the method described in any one of the above embodiments.

[0185] Exemplarily, the processor 302 executes instructions on the memory 301 to receive the basic information of the tester input through the I / O interface 303, and receives the eye bio-optical data of the tester remotely sent via the network through the network interface 304, for example, from other testing equipment or systems. Optionally, the processor 302 executes instructions on the memory 301 to receive the eye bio-optical data of the tester input through the I / O interface 303, and receives the basic information of the tester remotely sent via the network through the network interface 304. Optionally, the processor 302 executes instructions on the memory 301 to receive the basic information and eye bio-optical data of the tester input through the I / O interface 303, or receives the basic information and eye bio-optical data of the tester remotely sent via the network through the network interface 304.

[0186] The processor 302 executes the instructions on the memory 301 and also performs the following operations: calculating the axial length range of the tester according to the basic information and the eye bio-optical data; based on the calculated axial length range, analyzing the myopia risk of the tester according to the actual measured axial length value of the tester.

[0187] The processor 302 executes the instructions on the memory 301 and further performs the following operations: outputting prompt information related to the myopia risk of the tester according to the analysis result. For example, different risk levels are displayed in different colors on the display screen through the I / O interface, or the analysis results are played through the speaker, or the analysis report is printed by connecting to a printing device through the network interface.

[0188] In some embodiments, the steps, operations or processing of the methods involved in the above-mentioned embodiments do not have to be executed by one computer device, but can also be completed by the cooperation of multiple different computer devices. Different computer devices can exchange data through wired or wireless communication.

[0189] In some embodiments, a system for assessing the risk of myopia in children includes:

[0190] Data collection terminal 401, which collects basic information and eye bio-optical data of the tester;

[0191] A database terminal 402, which is in communication with the data collection terminal 401 and is used to store the basic information and eye bio-optical data of the tester;

[0192] The service application end 403 is connected to the database end 402 for performing the following operations: calculating the axial length range of the test subject according to the basic information and the eye bio-optical data; based on the calculated axial length range, analyzing the myopia risk of the test subject according to the measured axial length value of the test subject;

[0193] The client 404 is in communication with the service application end 404 and is used to output a prompt related to the myopia risk of the tester according to the analysis result of the service application end.

[0194] In some embodiments, the basic information includes the age and gender of the tester; the eye bio-optical data includes the measured axial length value and the average corneal curvature.

[0195] In some implementations, at the service application end 403, calculating the eye axis range of the tester according to the basic information and the eye bio-optical data includes:

[0196] Determine the equivalent spherical lens corresponding to the safe range, the critical range of hyperopia reserve and the myopia risk range according to the age of the tester;

[0197] The eye axis range of the tester is calculated according to the equivalent spherical lens and the average corneal curvature.

[0198] In some embodiments, the database end 402 further stores the equivalent spherical lens threshold values ​​corresponding to the safety range, critical range and myopia risk range of the hyperopia reserve according to age. As shown in Table 1 above, the equivalent spherical lens of a 6-year-old tester is greater than +1.50D for the safety range, less than -0.50D for the myopia risk range, between +1.50D and -0.50D or less than or equal to +1.50D and greater than or equal to -0.50D for the hyperopia reserve critical range; the equivalent spherical lens of a 7-year-old tester is greater than +1.25D for the safety range, less than -0.50D for the myopia risk range, between +1.25D and -0.50D or less than or equal to +1.25D and greater than or equal to -0.50D for the hyperopia reserve critical range; the equivalent spherical lens of an 8-year-old tester is greater than +1.00D for the safety range, less than -0.50D for the myopia risk range, between +1.00D and -0.50D or less than or equal to +1.25D and greater than or equal to -0.50D for the hyperopia reserve critical range. Equal to +1.00D and greater than or equal to -0.50D is the critical range of hyperopia reserve; for testers aged 9 to 10, the equivalent spherical lens is greater than +0.75D, which is in the safe range, and less than -0.50D is in the myopia risk range, and between +0.75D and -0.50D or less than or equal to +0.75D and greater than or equal to -0.50D is the critical range of hyperopia reserve; for testers aged 11 to 12, the equivalent spherical lens is greater than +0.50D, which is in the safe range, and less than - 0.50D is the myopia risk range, between +0.50D and -0.50D or less than or equal to +0.50D and greater than or equal to -0.50D is the hyperopia reserve critical range; for testers aged 13 to 14, the equivalent spherical lens is greater than +0.25D for the safety range, less than -0.50D for the myopia risk range, and between +0.25D and -0.50D or less than or equal to +0.25D and greater than or equal to -0.50D for the hyperopia reserve critical range.

[0199] In some embodiments, based on the calculated axial length range, analyzing the myopia risk of the test subject according to the measured axial length value of the test subject comprises:

[0200] If the measured axial length value of the test subject is less than the lower limit value of the calculated axial length range, the risk of myopia of the test subject is low;

[0201] If the measured axial length value of the test subject is greater than the upper limit value of the calculated axial length range, the risk of the test subject developing myopia is high.

[0202] In some implementations, outputting a prompt related to the myopia risk of the tester according to the analysis result of the service application 403 includes:

[0203] If the measured axial length value of the tester is lower than the calculated axial length range of the tester, a prompt indicating that the tester is safe is output;

[0204] If the measured axial length value of the tester falls within the calculated axial length range of the tester, a prompt is outputted indicating that the tester has a first risk of developing myopia;

[0205] If the measured axial length value of the tester is higher than the calculated axial length range of the tester, a prompt is outputted that the tester has a second risk of developing myopia, and the second risk is higher than the first risk.

[0206] In other implementations, outputting a prompt related to the myopia risk of the tester according to the analysis result of the service application 403 includes:

[0207] If the measured axial value of the tester is lower than the calculated axial value range, a prompt is outputted indicating that the measured axial value of the tester falls within the safe range of hyperopia reserve;

[0208] If the measured axial length value of the tester falls within the calculated axial length range, a prompt is outputted indicating that the measured axial length value of the tester falls within the critical range of hyperopia reserve;

[0209] If the measured axial value of the test subject is higher than the calculated axial value range, a prompt is output indicating that the measured axial value of the test subject falls within the myopia risk range.

[0210] In some embodiments, at the service application end 403, the equivalent spherical lens threshold and the average corneal curvature are provided to a data model reflecting the relationship between the eye axis and the corneal curvature and the diopter, and the eye axis range of the tester is calculated by the data model;

[0211] The data model is as follows:

[0212] AL=a+b*Km+c*SERE,

[0213] Among them, Km is the mean corneal curvature, SERE is the equivalent spherical lens, a is the intercept, b is the corneal curvature adjustment coefficient, and c is the equivalent spherical lens adjustment coefficient.

[0214] In some embodiments, the data model is established by:

[0215] Collecting a large amount of initial data, including individual age, gender, SERE, spherical refractive power, Km and flat corneal curvature;

[0216] The large amount of initial data collected was grouped by age and gender;

[0217] For each set of data, univariate linear regression analysis was performed with axial length as the dependent variable and each of SERE, spherical refractive power, Km, and flat keratometric curvature as the independent variable;

[0218] The predictors of axial length were screened out through the univariate linear regression analysis, and the predictors included SERE and Km;

[0219] Multivariate linear regression analysis was performed with axial length as the dependent variable and SERE and Km as independent variables;

[0220] The data model is established according to the multi-factor linear regression analysis:

[0221] AL=a+b*Km+c*SERE,

[0222] The SERE thresholds for defining the safe range of hyperopia reserve, the critical range and the myopia risk range and the values ​​of coefficients a, b and c for calculating the axial length range can be stored in the database in the form of a database table, or configured in the system in the form of other configuration files. For example, Table 1, Table 2 and Table 3 are stored in the database end 402.

[0223] In some implementations, the service application end 403 may periodically use big data to update or adjust the data model according to the above method, so that the data model can more accurately predict the axial length range of the eye.

[0224] In some implementations, the data collection terminal 401 may collect the basic information and eye bio-optical data of the tester in any one or more of the following ways:

[0225] Receiving basic information and / or eye bio-optical data of the test subject inputted through a human-machine interface;

[0226] The basic information and / or eye bio-optical data of the test subject transmitted remotely via the network are received through the network interface.

[0227] In some implementations, the prompts related to the myopia risk of the test subject provided by the client 404 include one or more of sound prompts, visual prompts, and tactile prompts.

[0228] In some embodiments, the sound prompt includes voice broadcasting of analysis results; the visual prompt includes: displaying different analysis results in different patterns or colors, or printing the analysis results; the tactile prompt includes: representing different analysis results with different vibration frequencies and / or amplitudes.

[0229] In some embodiments, Figure 5 As shown, the functional architecture of the system for assessing the risk of myopia in children includes:

[0230] Data collection: It can be logged in and authorized through WeChat (or other social software or instant messaging software) and take a photo of the optometry form and upload it to conduct paperless inspection and collection of the tester's basic information, naked eye vision, diopter, adjustment amplitude, and various parameters of the eye biological structure. Preferably, it also includes the inspection and collection of the negative relative set of the tester's eyes. In some embodiments, data collection can also be performed through network communication.

[0231] Database: used to store various collected data and refractive development monitoring data of the tester, store user inspection reports, and optionally store external data and historical inspection reports. In some embodiments, the database is used to store the SERE thresholds defining the safe range of hyperopia reserve, the critical range and the myopia risk range, and the values ​​of coefficients a, b, and c for calculating the axial range.

[0232] Service application layer: connects to the database, analyzes the data uploaded by the user, calculates the axial length range by substituting the tester's basic information, biometric data such as Km and the system's preset equivalent spherical lens into the data model, compares the measured axial length with the calculated axial length range to determine which risk range the tester's actual measured axial length belongs to (including the safe range, the hyperopia reserve critical range and the myopia risk range), and produces an inspection report to inform the user. In some embodiments, the calculation of the axial length range includes: determining a safety threshold and a myopia threshold of SERE according to the age of the test subject, for example, searching for the corresponding SERE safety threshold and myopia threshold from Table 1 according to the age; determining the values ​​of coefficients a, b, and c used to calculate the lower limit and upper limit of the axial length range according to the age, gender, and the determined safety threshold and myopia threshold of SERE of the test subject, for example, selecting a database table of coefficients a, b, and c for a male group or a female group according to the gender of the test subject (for example, Table 2 and Table 3), selecting coefficients a, b, and c for a hyperopia group corresponding to the age according to the age and the safety threshold, and selecting coefficients a, b, and c for a myopia group corresponding to the age according to the age and the myopia threshold; then, substituting the measured Km and the aforementioned determined safety threshold and myopia threshold of SERE, coefficients a, b, and c of the hyperopia group, and coefficients a, b, and c of the myopia group into the data model AL=a+b*Km+c*SERE to respectively calculate the lower limit and upper limit of the axial length AL, thereby obtaining the axial length range of the test subject corresponding to the hyperopia reserve critical range. Furthermore, the measured axial length is compared with the calculated axial length range to determine the risk of myopia of the test subject.

[0233] Client: used to log in to the system, receive inspection reports, view historical inspection reports, etc. In some implementations, the client may be a PAD (tablet computer), a mobile phone, or a desktop computer.

[0234] In an optional implementation, the axial length range can also be calculated according to the following method: according to different age and gender groups, a, b, c and SERE are substituted into AL = a + b * Km + c * SERE to obtain multiple formulas (only Km is a variable in the formula), and the obtained multiple formulas are stored according to age and gender groups; when calculating the axial length range, only two formulas corresponding to the upper and lower limits of the calculated axial length range of the tester need to be found from the stored multiple formulas according to the age and gender of the tester (only Km is a variable in the two formulas), and then, the measured Km of the tester is substituted into the found formula to calculate the axial length range of the tester. Further, the measured axial length and the calculated axial length range are compared to determine the risk of myopia of the tester.

[0235] Those skilled in the art should understand that what is disclosed above is only an implementation mode of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Equivalent changes made according to the implementation mode of the present invention are still within the scope covered by the claims of the present invention.

Claims

1. A method for assessing the risk of myopia in children, characterized in that: include: Obtain the tester's basic information and eye bio-optical data; Calculating the eye axis range of the tester according to the basic information and eye bio-optical data; Based on the calculated axial length range, analyzing the myopia risk of the test subject according to the measured axial length value of the test subject; Outputting a prompt related to the myopia risk of the test subject according to the analysis result; The basic information includes the gender and age of the tester; the ocular bio-optical data includes the measured axial value and average corneal curvature; The axial range of the eye of the tester is calculated according to the basic information and the eye bio-optical data, including: determining the equivalent spherical threshold for defining the safe range, critical range and myopia risk range of the hyperopia reserve according to the age of the tester, and calculating the axial range of the eye of the tester according to the determined equivalent spherical threshold and the obtained average corneal curvature; The equivalent spherical lens threshold and the average corneal curvature are provided to a data model reflecting the relationship between the eye axis and the corneal curvature and the diopter, and the eye axis range of the tester is calculated by the data model; The data model is as follows: AL=a+b*Km+c*SERE, Wherein, AL represents the eye axis, Km represents the mean corneal curvature, SERE represents the equivalent spherical lens, a represents the intercept, b represents the corneal curvature adjustment coefficient, and c represents the equivalent spherical lens adjustment coefficient; The data model is established in the following way: Collecting initial data, wherein the initial data includes age, gender, SERE, spherical refractive power, Km and flat corneal curvature of the individual; The initial data collected were grouped by age and gender; For each set of data, univariate linear regression analysis was performed with axial length as the dependent variable and each of SERE, spherical refractive power, Km, and flat keratometric curvature as the independent variable; The predictors of axial length were screened out through the univariate linear regression analysis, and the predictors included SERE and Km; Multivariate linear regression analysis was performed with axial length as the dependent variable and SERE and Km as independent variables; The data model is established based on the multi-factor linear regression analysis.

2. The method according to claim 1, characterized in that According to the age of the test subject, the equivalent spherical lens thresholds for defining the safe range, critical range and myopia risk range of hyperopia reserve include: The spherical equivalent thresholds for 6-year-old testers are +1.50D and -0.50D, where a spherical equivalent greater than +1.50D is a safe range, less than -0.50D is a myopia risk range, and between +1.50D and -0.50D is a critical range; The spherical equivalent thresholds for 7-year-old testers are +1.25D and -0.50D, where a spherical equivalent greater than +1.25D is a safe range, less than -0.50D is a myopia risk range, and between +1.25D and -0.50D is a critical range; The spherical equivalent thresholds for testers aged 8 are +1.00D and -0.50D, where a spherical equivalent greater than +1.00D is a safe range, less than -0.50D is a myopia risk range, and between +1.00D and -0.50D is a critical range; The spherical equivalent thresholds for testers aged 9-10 are +0.75D and -0.50D. A spherical equivalent greater than +0.75D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.75D and -0.50D is in the critical range. The spherical equivalent thresholds for testers aged 11-12 are +0.50D and -0.50D, where a spherical equivalent greater than +0.50D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.50D and -0.50D is in the critical range; The spherical equivalent thresholds for testers aged 13-14 are +0.25D and -0.50D, where an equivalent spherical lens greater than +0.25D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.25D and -0.50D is in the critical range.

3. The method according to claim 1, characterized in that Based on the calculated axial length range, the myopia risk of the test subject is analyzed according to the measured axial length value of the test subject, including: If the measured axial length value of the test subject is less than the lower limit value of the calculated axial length range, the risk of myopia of the test subject is low; If the measured axial length value of the test subject is greater than the upper limit value of the calculated axial length range, the risk of the test subject developing myopia is high.

4. The method according to claim 1, characterized in that The output of the prompts related to the myopia risk of the tester according to the analysis results includes: If the measured axial length value of the tester is lower than the calculated axial length range of the tester, a prompt indicating that the tester is safe is output; If the measured axial length value of the tester falls within the calculated axial length range of the tester, a prompt is outputted indicating that the tester has a first risk of developing myopia; If the measured axial length value of the tester is higher than the calculated axial length range of the tester, a prompt is outputted that the tester has a second risk of developing myopia, and the second risk is higher than the first risk.

5. The method according to claim 1, characterized in that The basic information and ocular bio-optical data of the tester are obtained by any one or more of the following methods: Receiving basic information and / or eye bio-optical data of the test subject inputted through a human-machine interface; The basic information and / or eye bio-optical data of the test subject transmitted remotely via the network are received through the network interface.

6. The method according to claim 1, characterized in that The prompts related to the myopia risk of the test subject include one or more of sound prompts, visual prompts, and tactile prompts.

7. A device for assessing the risk of myopia in children, characterized in that: include: a memory having computer-readable instructions stored thereon; A processor that executes the computer-readable instructions to implement the method of any one of claims 1 to 6.

8. A storage medium, characterized in that: The storage medium stores computer-readable instructions, which can be executed by a processor to implement the method according to any one of claims 1 to 6.

9. A system for assessing the risk of myopia in children, characterized in that: include: The data collection end collects the basic information of the tester and the ocular bio-optical data; A database end, which is in communication connection with the data acquisition end and is used to store the basic information and eye bio-optical data of the tester; A service application end, which is in communication connection with the database end, and is used to perform the following operations: calculating the axial length range of the tester according to the basic information and the eye bio-optical data; based on the calculated axial length range, analyzing the myopia risk of the tester according to the measured axial length value of the tester; A client terminal, which is in communication connection with the service application terminal and is used to output a prompt related to the myopia risk of the test subject according to the analysis result of the service application terminal; The basic information includes the gender and age of the tester; the ocular bio-optical data includes the measured axial value and average corneal curvature; The axial range of the eye of the tester is calculated according to the basic information and the eye bio-optical data, including: determining the equivalent spherical threshold for defining the safe range, critical range and myopia risk range of the hyperopia reserve according to the age of the tester, and calculating the axial range of the eye of the tester according to the determined equivalent spherical threshold and the obtained average corneal curvature; Wherein, at the service application end, the equivalent spherical lens threshold and the average corneal curvature are provided to a data model reflecting the relationship between the eye axis and the corneal curvature and the diopter, and the eye axis range of the tester is calculated through the data model; The data model is as follows: AL=a+b*Km+c*SERE, Wherein, AL represents the eye axis, Km represents the mean corneal curvature, SERE represents the equivalent spherical lens, a represents the intercept, b represents the corneal curvature adjustment coefficient, and c represents the equivalent spherical lens adjustment coefficient; The data model is established in the following way: Collecting initial data, wherein the initial data includes age, gender, SERE, spherical refractive power, Km and flat corneal curvature of the individual; The initial data collected were grouped by age and gender; For each set of data, univariate linear regression analysis was performed with axial length as the dependent variable and each of SERE, spherical refractive power, Km, and flat keratometric curvature as the independent variable; The predictors of axial length were screened out through the univariate linear regression analysis, and the predictors included SERE and Km; Multivariate linear regression analysis was performed with axial length as the dependent variable and SERE and Km as independent variables; The data model is established based on the multi-factor linear regression analysis.

10. The system according to claim 9, characterized in that The database also stores the equivalent spherical lens thresholds for defining the safe range, critical range, and myopia risk range of hyperopia reserve according to age, including: The spherical equivalent thresholds for 6-year-old testers are +1.50D and -0.50D, where a spherical equivalent greater than +1.50D is a safe range, less than -0.50D is a myopia risk range, and between +1.50D and -0.50D is a critical range; The spherical equivalent thresholds for 7-year-old testers are +1.25D and -0.50D, where a spherical equivalent greater than +1.25D is a safe range, less than -0.50D is a myopia risk range, and between +1.25D and -0.50D is a critical range; The spherical equivalent thresholds for testers aged 8 are +1.00D and -0.50D, where a spherical equivalent greater than +1.00D is a safe range, less than -0.50D is a myopia risk range, and between +1.00D and -0.50D is a critical range; The spherical equivalent thresholds for testers aged 9-10 are +0.75D and -0.50D. A spherical equivalent greater than +0.75D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.75D and -0.50D is in the critical range. The spherical equivalent thresholds for testers aged 11-12 are +0.50D and -0.50D, where a spherical equivalent greater than +0.50D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.50D and -0.50D is in the critical range; The spherical equivalent thresholds for testers aged 13-14 are +0.25D and -0.50D, where an equivalent spherical lens greater than +0.25D is in the safe range, less than -0.50D is in the myopia risk range, and between +0.25D and -0.50D is in the critical range.

11. The system according to claim 9, characterized in that Outputting a prompt related to the myopia risk of the tester according to the analysis result of the service application terminal includes: If the measured axial length value of the tester is lower than the calculated axial length range of the tester, a prompt indicating that the tester is safe is output; If the measured axial length value of the tester falls within the calculated axial length range of the tester, a prompt is outputted indicating that the tester has a first risk of developing myopia; If the measured axial length value of the tester is higher than the calculated axial length range of the tester, a prompt is outputted that the tester has a second risk of developing myopia, and the second risk is higher than the first risk.

12. The system of claim 9, wherein: The basic information and ocular bio-optical data of the tester are collected by any one or more of the following methods: Receiving basic information and / or eye bio-optical data of the test subject inputted through a human-machine interface; The basic information and / or eye bio-optical data of the test subject transmitted remotely via the network are received through the network interface.

13. The system of claim 9, wherein: The prompts related to the myopia risk of the test subject include one or more of sound prompts, visual prompts, and tactile prompts.

14. The system of claim 13, wherein: The sound prompt includes voice broadcasting of analysis results; The visual prompt includes: displaying different analysis results in different patterns or colors, or printing the analysis results; The tactile prompt includes: using different vibration frequencies and / or amplitudes to indicate different analysis results.

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