Monitoring method and monitoring system for eyeball emmetropization process
The method and system provide a mathematical model for monitoring emmetropization by analyzing retinal optical characteristics, enhancing the accuracy and timeliness of detecting refractive errors in ocular development, facilitating early intervention.
Patent Information
- Application Number
- JP2024133696
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-05-14
- Filing Date
- 2024-08-08
- Publication Date
- 2025-11-27
- Estimated Expiration
- 2044-08-08
AI Technical Summary
Current methods for monitoring emmetropization, which is the process of ocular growth and refractive development influenced by visual feedback, lack sensitivity and accuracy in detecting the direction and degree of dynamic control, leading to delayed interventions for myopia or hyperopia.
A method and system that constructs a mathematical model based on optical characteristic data of the retina, using individualized evaluation to monitor and predict emmetropization progress by analyzing retinal optical characteristics and ocular axis data, including biometric and optical indicators.
Enables accurate and timely monitoring and prediction of refractive development, allowing for early intervention to control emmetropia within normal ranges and evaluating treatment effectiveness for myopia and hyperopia.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present application relates to the technical field of medical data analysis, and in particular to a method and system for monitoring the progress of emmetropia. [Background technology]
[0002] The process of emmetropization is a process of ocular growth and refractive development that is influenced by visual feedback related to the effective refractive state of the eye. During this process, the ocular microstructure and the internal and external environments form a dynamic system controlled by an active local signal feedback mechanism that regulates the emmetropization process in real time, thereby adapting the visual function of the eye to the visual demands of the individual's current internal and external environment.
[0003] Currently, the primary means of monitoring the emmetropia process are detecting changes in an individual's ocular axis and detecting the individual's refraction status. However, neither of these detection indicators allows for timely response to the direction and degree of dynamic control during the emmetropia process. For example, if a young person's axial growth is found to be too rapid, their degree of myopia may already be severe, or if a young person's vision is significantly impaired, ophthalmoscopic and axial examination results often indicate the development of myopia. In hyperopic patients, the axial growth rate is too slow, leading to hyperopic refractive errors and abnormalities in the emmetropia process. Whether myopia or hyperopia is present, more sensitive and accurate methods are needed to timely respond to the current state of emmetropia and the trend toward emmetropia, thereby enabling us to determine the progression and future trends of myopia or hyperopia and to evaluate the effectiveness of current treatments. This is of great significance in enabling accurate and individualized monitoring of the emmetropization process and formulating individualized treatment plans for patients with refractive errors.
[0004] The preceding discussion provides general background information and may not necessarily constitute prior art. Summary of the Invention [Problem to be solved by the invention]
[0005] In view of the above-mentioned drawbacks of the prior art, the present invention provides a method and a system for monitoring the emmetropization progress of an eyeball, which constructs a mathematical model based on optical characteristic data of the retina of the eyeball and employs an individualized evaluation system to realize accurate and individualized monitoring and prediction of the emmetropization process of the eyeball. [Means for solving the problem]
[0006] The present application provides a method for monitoring the progress of emmetropization of an eyeball, which includes the following steps: obtaining ocular data information of a monitored eyeball; outputting retinal optical characteristic data information of the monitored eyeball based on the ocular data information of the monitored eyeball; analyzing and processing the retinal optical characteristic data and ocular axis data information of the monitored eyeball, and outputting an equation and related parameters representing the emmetropization characteristics of the individual monitored eyeball.
[0007] According to one embodiment of the present application, the step of obtaining eye data information of the monitored eye includes the following steps: measuring the monitored eye with a medical measurement device; storing the measured eye data information according to user information of the monitored eye; and obtaining data information of the monitored eye that currently needs to be monitored from the stored eye data information.
[0008] According to one embodiment of the present application, the step of outputting retinal optical characteristic data information of the monitored eye based on the data information of the monitored eye includes the following content: inputting the data information of the monitored eye into a preset mathematical model; after the preset mathematical model is calculated and processed, generating and outputting volumetric distortion data and related numerical values of the retinal optical focal plane or retinal wavefront of the monitored eye.
[0009] In one embodiment of the present application, the step of analyzing and processing the retinal optical characteristic data information of the monitored eye and outputting an equation and related parameters representing the individual emmetropization characteristics of the monitored eye includes the following content: mathematically analyzing the volumetric distortion data and ocular axis change data of the retinal optical focal plane or retinal wavefront of the monitored eye to obtain the equation and related parameters representing the individual emmetropization characteristics; monitoring and predicting the refractive development status of the monitored eye based on the equation and related parameters representing the individual emmetropization characteristics.
[0010] The present application further provides a method for monitoring the emmetropization progress of an eyeball, which includes the following steps: obtaining measurement data information of a monitored eyeball; processing the measurement data information of the monitored eyeball to output retinal optical characteristic data information of the monitored eyeball; analyzing and processing the retinal optical characteristic data and ocular axis data information of the monitored eyeball, and outputting an equation and related parameters representing the emmetropization characteristics of the individual monitored eyeball.
[0011] According to one embodiment of the present application, the step of obtaining measurement data information of the monitored eye includes the following contents: measuring the monitored eye with a medical measurement device; storing the measured eye data information according to user information of the monitored eye; and obtaining data information of the monitored eye that currently needs to be monitored from the stored eye data information.
[0012] According to one embodiment of the present application, the step of outputting retinal optical characteristic data information of the monitored eye based on the data information of the monitored eye includes the following: inputting the data information into a preset mathematical model; after the preset mathematical model is calculated and processed, generating and outputting the volumetric distortion amount and related numerical values of the retinal optical focal plane or retinal wavefront of the monitored eye.
[0013] The present application further provides a monitoring system for the progress of emmetropization of an eyeball, which includes: an acquisition module for acquiring eyeball data information of a monitored eyeball; a calculation module for calculating retinal optical characteristic data information of the monitored eyeball based on the eyeball data information; an analysis module for performing analysis processing based on the retinal optical characteristic data information and acquiring equations and related parameters representing the emmetropization characteristics of an individual; a monitoring and prediction module for monitoring and predicting the refractive development status of the individual using the acquired equations and related parameters representing the emmetropization characteristics of the individual; and a output module for outputting the monitoring and prediction results of the refractive development status of the monitored eyeball.
[0014] The present application further provides a computer-readable storage medium, storing at least one computer program, said computer program being used to implement said method for monitoring emmetropization progression of an eye.
[0015] The present application further provides a computer program product, which when executed on a computer, causes the computer to perform the method for monitoring emmetropization progression as described above. [Effects of the Invention]
[0016] As described above, by using the technical solution disclosed in this application, the following beneficial effects can be obtained:
[0017] 1) To monitor the refractive development of children or adolescents whose ocular refractive systems are still in the developmental stage, and to detect any abnormal trends and promptly take intervention measures to control the progression of emmetropia within the normal range.
[0018] 2) For children or adolescents with existing ocular refractive errors (including myopia and hyperopia), the role of this system is to monitor and analyze the degree and progression of ocular refractive errors (including myopia and hyperopia); predict the future trend of ocular correction and the amount of change in axial length over time; and evaluate intervention measures for current refractive errors. [Brief explanation of the drawings]
[0019] In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly describe the drawings necessary for describing the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without any creative efforts. [Figure 1] FIG. 1 is a schematic flow diagram of a method for monitoring emmetropization progression provided in the examples of the present application. [Figure 2] FIG. 1 is a schematic diagram of the acquisition flow of monitored eye data information provided in an embodiment of the present application. [Figure 3] FIG. 1 is a schematic flow diagram for conducting the volumetric strain analysis provided in the examples of the present application. [Figure 4] FIG. 1 is a schematic flow diagram of a method for monitoring emmetropization progression provided in the examples of the present application. [Figure 5] FIG. 1 is a schematic diagram illustrating the configuration of a monitoring system for emmetropization progression provided in an embodiment of the present application. [Figure 6] FIG. 1 is a schematic diagram provided in an example of the present application showing the linear relationship between the amount of volumetric distortion (reference control) of the retinal optical focal plane of a myopic patient and the amount of change in the eye axis at the following time points. [Figure 7] 1 is a schematic diagram provided in an example of the present application showing the linear relationship between the amount of volumetric distortion (reference control) of the retinal optical focal plane of a hyperopic person and the amount of change in the eye axis at the following time points. [Figure 8] FIG. 1 is a schematic diagram provided in an example of the present application showing the linear relationship between the amount of volumetric distortion of the retinal optical focal plane of a myopic patient (self-control) and the amount of change in the eye axis at the current time point. [Figure 9] FIG. 1 is a diagram showing the linear relationship between the amount of volumetric distortion of the retinal optical focal plane of a hyperopic person (self-control) and the amount of change in the eye axis at the current time point, provided in the examples of the present application. [Figure 10] 1A and 1B are schematic diagrams illustrating the linear relationship between the amount of volumetric distortion of the retinal wavefront of a myopic person and the amount of change in the eye axis at the following time points, provided in the examples of the present application. [Figure 11] FIG. 10 is a diagram showing the linear relationship between the change in the volumetric distortion of the retinal wavefront of a myopic patient and the change in the eye axis at the current time point, provided in the examples of the present application. [Figure 12] 1A and 1B are schematic diagrams showing the linear relationship between the volumetric distortion of the retinal wavefront of a hyperopic person and the amount of change in the eye axis at the following time points, provided in the examples of the present application. [Figure 13] FIG. 1 is a schematic diagram showing the linear relationship between the change in volumetric distortion of the retinal wavefront of a hyperopic person and the change in the eye axis at the current time point, provided in an example of the present application. DETAILED DESCRIPTION OF THE INVENTION
[0020] Reference will now be made in detail to the examples illustrated in the drawings. In the following description, when referring to the drawings, unless otherwise indicated, identical numerals in different drawings refer to identical or similar elements. The embodiments described in the following examples do not represent all embodiments conforming to the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application, as detailed in the appended claims.
[0021] It should be noted that, in this specification, the terms "comprises," "including," or any other variant thereof, are intended to encompass a non-exclusive inclusion, such that a process, method, article, or apparatus that includes a set of elements includes not only those elements but also other elements not expressly listed or elements inherent in such process, method, article, or apparatus. Absent further limitations, an element defined by the words "comprises" does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, components, features, and elements with the same name in different embodiments of this application may have the same or different meanings, and their specific meanings must be determined in conjunction with the interpretation or context of that specific embodiment.
[0022] It should be understood that, although terms such as "first," "second," and "third" may be used herein to describe various pieces of information, the information is not limited to these terms. These terms are used solely to distinguish between the same types of information. For example, first information could also be referred to as "second information," and similarly, second information could also be referred to as "first information" without departing from the scope of the present specification. Depending on the context, as used herein, the word "if" may be interpreted as "upon," "when," or "depending on," respectively. Furthermore, as used herein, the singular forms "a," "an," and "corresponding" are intended to include the plural forms unless the context indicates otherwise. It should also be understood that the terms "comprise," "comprising," and "including" indicate the presence of stated features, steps, operations, elements, components, items, types, and / or groups, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, types, and / or groups. As used in this application, the terms "or," "and / or," "comprising at least one of," etc. may be construed inclusively or to mean either or any combination. For example, "comprising at least one of: A, B, C" means "any of: A, B, C, A and B, A and C, B and C, A and B and C," and further, for example, "A, B or C" or "A, B and / or C" means "any of: A, B, C, A and B, A and C, B and C, A and B and C." Exceptions to this definition occur only when combinations of components, features, steps, or actions are inherently mutually exclusive in a specific way.
[0023] It should be understood that, although the steps in the flow diagrams in the embodiments of the present application are shown sequentially in the order indicated by the arrows, they are not necessarily executed sequentially in the order indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not limited to a strict order and may be executed in other orders. Furthermore, at least some of the steps in the diagrams may include multiple sub-steps or multiple stages, and these sub-steps or stages do not necessarily have to be executed at the same time, but may be executed at different times, and the order of execution does not necessarily have to be sequential, but may be executed in order or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0024] Depending on the context, the words "if" and "supposing" as used herein can be interpreted as "upon" or "when" or "in response to determining" or "in response to detecting." Similarly, depending on the context, the terms "if determined" or "if detected (a stated condition or event)" can be interpreted as "when determined" or "when detected (a stated condition or event)" or "in response to detecting (a stated condition or event)."
[0025] It should be noted that the present specification employs step codes such as S1, S2, etc., the purpose of which is to express the corresponding content more clearly and simply, and does not constitute a substantial restriction on the order. In concrete implementation, those skilled in the art may first execute S4 and then execute S3, etc., which should all fall within the scope of protection of the present application.
[0026] It should be understood that the specific examples described herein are intended to illustrate, but not to limit, the present application.
[0027] In the following description, suffixes such as "module," "component," or "unit" used to denote elements are used only for convenience of explanation in this application and do not have any specific meaning in themselves. Therefore, "module," "component," or "unit" may be used interchangeably.
[0028] With reference to Figure 1, the present application provides a method for monitoring the emmetropization progress of an eyeball, which includes the following steps: obtaining eyeball data information of a monitored eyeball; outputting retinal optical characteristic data information of the monitored eyeball based on the eyeball data information of the monitored eyeball; performing analysis processing on the retinal optical characteristic data information of the monitored eyeball, and outputting an equation and related parameters representing individual emmetropization characteristics of the monitored eyeball.
[0029] In the present embodiment, when monitoring the progress of a user's emmetropia, first, data information on the user's eye, such as axial length in the central and peripheral regions, corneal thickness, corneal curvature, anterior chamber depth, lens thickness, vitreous cavity length, choroidal thickness, pupil diameter, and kappa angle, must be acquired. Furthermore, for example, optical indices of the user's eye include wavefront aberration (including low-order and high-order aberrations) of retinal imaging in the central and peripheral regions of the eye, diopter (i.e., refractive power), relative refractive power (peripheral refractive power minus central refractive power), and volumetric distortion of the imaging. By performing computational processing on the acquired data on the monitored eye, retinal optical characteristic data information, such as the retinal optical focal plane of the monitored eye, volumetric distortion data of the retinal wavefront in the central and peripheral regions, and related numerical values, can be obtained. Furthermore, by analyzing and processing the retinal optical characteristic data information on the monitored eye, the degree of emmetropia of the monitored eye can finally be obtained. For example: equations that represent the emmetropized characteristics of an individual, and related parameter information.
[0030] Referring to Figure 2, in the solution of the present application, the step of obtaining eye data information of the eye to be monitored includes the following contents: measuring the eye to be monitored with a medical measurement device; storing the measured eye data information according to the user information of the eye to be monitored; and obtaining data information of the eye to be monitored that currently needs to be monitored from the stored eye data information.
[0031] A user who requires monitoring of the emmetropia of the eyeball needs to periodically collect data information such as the above-mentioned eyeball biometric indicators and eyeball optical indicators. In an embodiment of the present application, data corresponding to the eyeball to be monitored is measured using a medical measuring device, and after the measurement is completed, the measured eyeball data is stored based on user information such as name, age, and gender, so that the eyeball data information of the user to be monitored at each point in time can be easily obtained when performing subsequent analysis processing. Since the user may have measured eyeball data using another measuring device and the measured eyeball data cannot be directly stored, in another embodiment of the present application, the printed measurement data information is scanned, and related data information is extracted from it and stored according to the user.
[0032] In an embodiment of the present application, the step of outputting retinal optical characteristic data information of the monitored eye based on the data information of the monitored eye includes the following content: inputting the eye data information into a preset mathematical model; after the preset mathematical model is calculated and processed, generating and outputting the volume distortion amount and related numerical values of the retinal optical focal plane or retinal wavefront of the monitored eye.
[0033] In the embodiment of the present application, after obtaining the data information of the eyeballs of the monitored user, calculation processing is performed according to the following preset mathematical model:
number
[0034] where ε wis the volumetric distortion of the retinal optical focal plane or retinal wave front of the eyeball, H1 is the mean curvature of the optical image of the eyeball, H2 is the Gaussian curvature of the optical image of the eyeball, h is the elevation difference of the optical image of the eyeball, φ, θ are the latitude and longitude of the retinal optical focal plane or retinal wave front, and T is a time point.
[0035] After performing calculation processing using the above mathematical model, the volume distortion amount of the retinal optical focal plane or retinal wavefront of the eyeball of the monitored user is obtained.
[0036] In the embodiment of the present application, before executing the mathematical model to perform a calculation process for determining the volumetric distortion of the retinal optical focal plane or the retinal wavefront for the acquired eyeball data, it is necessary to perform an optimization process preferentially on the already acquired data of the monitored eyeball, for example: The curvature value calculated from the equivalent spherical lens (spherical lens + 1 / 2 cylindrical lens) of the entire eyeball of the monitoring subject is defined as the average curvature (H1). The square of the curvature value calculated using the total sphericity of the monitored subject's eyeball is taken as the Gaussian curvature (H2). The aberration value of the eyeball of the monitoring subject is defined as the elevation difference (h). The diopter or relative diopter of the retinal image of the monitored subject is used to calculate the curvature, which is calculated according to the diopter formula D=n / f, where D is the diopter; n is the refractive index; and f is the focal length, which in this system is the radius of curvature.
[0037] After the optimization process is performed on the eyeball data acquired as described above, the processing results are sent to a preset mathematical model for calculation processing.
[0038] After the results of the equation and related parameters of the emmetropization characteristics of the monitored eye are obtained, they are output. In a more preferred embodiment, when the evaluation results of the degree of emmetropization are output, they are sent directly to the mobile terminal of the user of the monitored eye via a mobile network, so that the user can first obtain the monitoring results of the eye.
[0039] Referring to Figure 3, in the solution of the present application, after obtaining the volumetric distortion amount and related values of the retinal focal plane or retinal wavefront of the monitored eye, the volumetric distortion amount values are further analyzed; the volumetric distortion amount data of the retinal focal plane or retinal wavefront of the monitored eye and the eye axis change amount data are mathematically analyzed to obtain an equation and related parameters representing the individual's emmetropization characteristics; and the individual's refractive development status is monitored and predicted based on the equation and related parameters representing the individual's emmetropization characteristics.
[0040] Referring to FIG. 4, there is provided a schematic flow chart of a method for monitoring the emmetropization progress of an eyeball provided in the present application, which includes the following steps: obtaining measurement data information of the eyeball to be monitored; processing the measurement data information of the eyeball to be monitored to output retinal optical characteristic data information of the eyeball to be monitored; performing analysis processing on the retinal optical characteristic data information of the eyeball to be monitored, and outputting an equation and related parameters representing the emmetropization characteristics of the individual eyeball to be monitored.
[0041] In the embodiment of the present application, as described above, when monitoring the progress of emmetropization of a user's eyeball, after acquiring eyeball data of the monitored user, biometric indicators of the eyeball, such as axial length in the central and peripheral regions, corneal thickness, corneal curvature, anterior chamber depth, lens thickness, vitreous cavity length, choroidal thickness, pupil diameter, and kappa angle, as well as optical indicators of the user's eyeball, such as retinal wavefront aberrations (including low-order and high-order aberrations) in the central and peripheral regions of the eyeball, diopter (i.e., refractive power), and relative refractive power (subtracting central refractive power from peripheral refractive power), are obtained. Volumetric distortion data information of the retinal optical focal plane or retinal wavefront of the monitored eyeball is obtained by arithmetic processing from the monitored eyeball data. Furthermore, the volumetric distortion data of the retinal optical focal plane or retinal wavefront of the monitored eyeball and the axial change data are mathematically analyzed to obtain equations and related parameters representing the individual's emmetropization characteristics. In the solution of the present application, the obtained equations and related parameters representing the individual's emmetropization characteristics are used to monitor and predict the individual's refractive development.
[0042] Further referring to FIG. 2 , in the solution of the present application, the step of acquiring data information of the monitored eye includes the following contents: measuring the monitored eye with a medical measurement device; storing the measured eye data information according to user information of the monitored eye; and acquiring eye data information of the monitored eye that currently needs to be monitored from the stored eye data information. In an embodiment of the present application, the measured eye data is stored based on user information such as name, age, and gender, and a reminder notification is further provided, and when the measurement date of the eye data is reached, the measurement notification is sent to the monitored user. In another embodiment of the present application, the measured eye data information may be stored by manual input after the measured eye data is acquired.
[0043] In an embodiment of the present application, the step of outputting data information of the optical characteristics of the retina of the monitored eye based on the data information of the monitored eye includes the following content: inputting the eye data information into a preset mathematical model; after the preset mathematical model is calculated and processed, generating and outputting a volume distortion analysis diagram and related numerical values of the retinal optical focal plane or retinal wavefront of the monitored eye.
[0044] In the embodiment of the present application, after obtaining the eyeball data information of the monitored user, the following calculation process is performed according to a preset mathematical model:
number
[0045] where ε w is the volumetric distortion of the optical image of the eye, H1 is the mean curvature of the optical image of the eye, H2 is the Gaussian curvature of the optical image of the eye, h is the elevation difference of the optical image of the eye, φ and θ are the latitude and longitude above the retinal optical focal plane or retinal wave front, respectively, and T is the time point.
[0046] After performing calculation processing using the above mathematical model, a volumetric distortion analysis graph of the retinal optical focal plane or retinal wavefront of the eyeball of the monitored user is obtained.
[0047] In the embodiment of the present application, before the calculation process is performed on the acquired eyeball data by executing the above-mentioned mathematical model, before the volume distortion amount of the retinal optical focal plane or the retinal wavefront is calculated, an optimization process needs to be performed on the acquired eyeball data, for example: The curvature value calculated from the equivalent spherical lens (spherical lens + 1 / 2 cylindrical lens) of the entire eyeball of the monitoring subject is defined as the average curvature (H1). The square of the curvature value calculated using the total sphericity of the monitored subject's eyeball is taken as the Gaussian curvature (H2). The aberration value of the eyeball of the monitoring subject is defined as the elevation difference (h). The diopter or relative diopter of the retinal image of the monitored subject is used to calculate the curvature, which is calculated according to the diopter formula D=n / f, where D is the diopter; n is the refractive index; and f is the focal length, which in this system is the radius of curvature.
[0048] In the examples of the present application, a reference eye or a reference wave front is used as a control, and a linear equation consisting of the amount of volumetric distortion (reference control) of the peripheral or paracentral retinal optical focal plane or retinal wave front of an individual calculated by a preset mathematical model and the amount of ocular axis change at the next time point is used as the driving force equation.The driving force equation for the individual obtained can be used to evaluate the magnitude of the driving force on the ocular axis growth of the peripheral or paracentral retinal optical focal plane or retinal wave front of the individual at the current stage, and to predict the amount of ocular axis change at a future time point.
[0049] As shown in Table 1, the volumetric strain amount relative to the eye axis change amount at the following time points. [Table 1]
[0050] As shown in Figure 6, the volumetric distortion of the retinal focal plane (reference control) in myopic individuals shows a linear relationship with the change in eye axis at the next time point. As shown in Figure 7, the volumetric distortion of the retinal focal plane (reference control) in hyperopic individuals shows a linear relationship with the change in eye axis at the next time point. As shown in Figure 10, the volumetric distortion of the retinal wavefront in myopic individuals shows a linear relationship with the change in eye axis at the next time point. As shown in Figure 12, the volumetric distortion of the retinal wavefront in hyperopic individuals shows a linear relationship with the change in eye axis at the next time point. Regarding the driving force equation, a relatively small slope reflects a smaller driving force for the peripheral or paracentral retinal focal plane or retinal wavefront on axial growth. Conversely, a relatively large slope reflects a larger driving force. From the linear diagrams in Figures 6, 7, 10, and 12, the driving force in hyperopic individuals is smaller than that in myopic individuals.
[0051] In the examples of the present application, data on the retinal focal plane or retinal wave front of an individual at a previous time point is used as a control, and a linear equation consisting of the change in volumetric distortion of the individual's peripheral or paracentral retinal focal plane (self-control) or retinal wave front and the change in ocular axis at the current time point is used as a sensitivity equation using a preset mathematical model, and the obtained sensitivity equation for the individual can be used to evaluate the magnitude of the sensitivity of the peripheral or paracentral retinal focal plane or retinal wave front to the effect on ocular axis growth at the current stage.
[0052] Table 2 shows the volumetric distortion (self-control) / change in volumetric distortion and the change in eye axis at the current time point. [Table 2]
[0053] As shown in Figure 8, the volumetric distortion of the retinal focal plane of a myopic person (self-controlled) shows a linear relationship with the change in eye axis at the current time. As shown in Figure 9, the volumetric distortion of the retinal focal plane of a hyperopic person (self-controlled) shows a linear relationship with the change in eye axis at the current time. As shown in Figure 11, the change in volumetric distortion of the retinal wavefront of a myopic person shows a linear relationship with the change in eye axis at the current time. As shown in Figure 13, the change in volumetric distortion of the retinal wavefront of a hyperopic person shows a linear relationship with the change in eye axis at the current time.
[0054] Referring to Figure 5, this is a schematic configuration diagram of the eye emmetropization progress monitoring system provided in the present application, which includes: an acquisition module for acquiring data information of the eye to be monitored; a calculation module for calculating retinal optical characteristic data information of the eye to be monitored based on the eye data information; an analysis module for performing analysis processing based on the retinal optical characteristic data information to obtain equations and related parameters representing the emmetropization characteristics of an individual; and an output module for monitoring and outputting prediction results of the refractive development status of the eye to be monitored.
[0055] In an embodiment of the present application, the acquisition module measures the target eyeball with a medical measuring instrument and then acquires corresponding eyeball data information, and the calculation module calculates according to the acquired eyeball data information using a preset mathematical model to obtain corresponding retinal optical characteristic data information, specifically, calculates the volumetric distortion amount of the retinal optical focal plane or retinal wavefront of the eyeball, and responds to the change in the retinal optical characteristic in the process of emmetropization of the eyeball induced by the refractive state of the eyeball. The formula of this mathematical model is as follows:
number
[0056] where ε wis the volumetric distortion of the optical image of the eye, H1 is the mean curvature of the optical image of the eye, H2 is the Gaussian curvature of the optical image of the eye, h is the elevation difference of the optical image of the eye, φ and θ are the latitude and longitude above the retinal optical focal plane or retinal wave front, respectively, and T is the time point.
[0057] The present application further provides a computer-readable storage medium, storing at least one computer program, said computer program being used to implement said method for monitoring emmetropization progression of an eye.
[0058] The present application further provides a computer program product, which when executed on a computer, causes the computer to perform the method for monitoring emmetropization progression as described above.
[0059] An embodiment of the present application further provides a processing terminal, the processing terminal including a memory and a processor, wherein the memory stores a processing program, which, when executed by the processor, implements the steps of the method for monitoring ocular vision progression as described above.
[0060] The above are only specific examples of the present application, and the above scenarios are merely examples and do not constitute a limitation on the application scenarios of the technical solutions provided in the examples of the present application. The technical solutions of the present application can also be applied to other scenarios. Within the scope of the technology disclosed in the present application, those skilled in the art can easily think of modifications or substitutions, all of which should be included in the scope of protection of the present application. Therefore, the technical solutions provided in the examples of the present application can be equally applied to similar technical problems.
[0061] In this application, descriptions of identical or similar terminology concepts, technical solutions and / or application scenarios will generally only be described in detail when they first appear, and will not generally be repeated when they appear repeatedly later for the sake of brevity. However, when understanding the content of the technical solutions, etc. of this application, for descriptions of identical or similar terminology concepts, technical solutions and / or application scenarios, etc. that are not described in detail later, reference may be made to the relevant detailed descriptions that precede them.
Claims
1. 1. A method for monitoring the progress of emmetropia, the monitoring method comprising: acquiring eye data information of a monitoring target eye; outputting retinal optical characteristic data information of the monitoring target eyeball based on eyeball data information of the monitoring target eyeball; performing an analysis process on the retinal optical characteristic data information of the monitoring target eyeball, and outputting an equation and related parameters representing the emmetropization characteristics of the individual monitoring target eyeball; A monitoring method comprising:
2. The step of acquiring eyeball data information of the monitoring target eyeball includes: measuring the monitored eye with a medical measurement device; storing the measured eye data information according to user information of the monitoring target eye; A step of acquiring data information of a monitoring target eye that currently needs to be monitored from the stored eye data information; The monitoring method according to claim 1, further comprising:
3. The step of outputting retinal optical characteristic data information of the monitoring target eyeball based on the data information of the monitoring target eyeball includes: inputting the data information of the monitored eye into a pre-defined mathematical model; After the predetermined mathematical model is calculated, generating and outputting volumetric distortion data and related numerical values of the retinal optical focal plane or retinal wavefront of the monitoring target eyeball; The monitoring method according to claim 1, further comprising:
4. The step of analyzing and processing the retinal optical characteristic data information of the monitoring target eye, and outputting an equation and related parameters representing the emmetropic characteristics of the individual of the monitoring target eye, includes: Mathematically analyzing the volumetric distortion data and the eye axis change data of the retinal optical focal plane or the retinal wavefront of the monitoring target eyeball to obtain an equation and related parameters representing the individual's emmetropization characteristics; monitoring and predicting the refractive development status of the monitored eye based on an equation and related parameters representing the individual's emmetropization characteristics; The monitoring method according to claim 3, further comprising:
5. 1. A method for monitoring the progression of emmetropia of an eye, comprising: The monitoring method includes the following steps: acquiring measurement data information of the monitored eye; processing measurement data information of the monitoring target eyeball to output retinal optical characteristic data information of the monitoring target eyeball; Analyzing and processing the retinal optical characteristic data and eye axis data information of the monitored eyeball, and outputting an equation and related parameters representing the emmetropic characteristics of the individual monitored eyeball; A monitoring method comprising:
6. The step of acquiring eyeball data information of the monitoring target eyeball includes: measuring the monitored eye with a medical measurement device; storing the measured eye data information according to user information of the monitoring target eye; A step of acquiring data information of a monitoring target eye that currently needs to be monitored from the stored eye data information; 6. The monitoring method according to claim 5, further comprising:
7. The step of outputting retinal optical characteristic data information of the monitoring target eyeball based on the data information of the monitoring target eyeball includes: inputting the data information into a pre-defined mathematical model; After the predetermined mathematical model is calculated, generating and outputting a volumetric distortion amount and related numerical values of the retinal optical focal plane or the retinal wavefront of the monitoring target eyeball; The monitoring method according to claim 6, comprising:
8. A monitoring system for the progress of emmetropia The monitoring system includes: an acquisition module for acquiring eye data information of a monitoring target eye; a calculation module for calculating retinal optical characteristic data information of the monitoring target eye based on the eyeball data information; an analysis module that performs analysis processing based on the retinal optical characteristic data information, obtains an equation and related parameters that represent the individual's emmetropization characteristics, and monitors and predicts the refractive development status of the monitoring target eyeball based on the equation and related parameters that represent the individual's emmetropization characteristics; an output module that outputs the monitoring and prediction results of the refractive development status of the monitoring target eye; A system for monitoring the progress of emmetropia, comprising:
9. A computer-readable storage medium having stored thereon at least one computer program for executing the method for monitoring the progress of emmetropization according to any one of claims 1 to 4 and / or claims 5 to 7.
10. A computer program product, which, when executed on a computer, causes the computer to execute the method for monitoring emmetropization progression according to any one of claims 1 to 4 and / or claims 5 to 7.
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