Method and apparatus for evaluating the efficacy of ophthalmic lenses in managing visual impairment

Abstract

A method for selecting or conceiving / designing a lens is provided. The method can be applied to lenses having effects such as myopia control, visual fatigue relief, etc. In one aspect, a prediction model for ranking myopia control solutions based on visual, behavioral, and biometric parameters is provided. The prediction model can be established based on myopic eye characteristics, wearer behavior, and defocus caused by the myopia control solution. In another aspect, a method, computer-readable medium, and device for evaluating the efficacy of an ophthalmic lens in controlling at least one visual disorder (e.g., myopia) of at least one wearer of the ophthalmic lens are provided. The device can determine the efficacy of the ophthalmic lens for at least one wearer based on representative data corresponding to the at least one wearer based on a predetermined relationship model.

Description

Technical Field

[0001] Various aspects of the present disclosure relate generally to evaluating the efficacy of an ophthalmic lens in controlling a wearer's visual impairment, and more particularly to methods and apparatus for determining a lens for myopia control or visual fatigue relief. Background Art

[0002] It has been observed that some individuals, especially children, focus inaccurately when viewing objects at a close distance (i.e., under near vision conditions). Because of this focusing defect on the part of myopic children who are corrected for distance vision, images of nearby objects are also formed behind their retinas (even in the fovea).

[0003] Many types of products for slowing down the progression of myopia can be used, such as ophthalmic lenses, contact lenses or medications. For example, in order to avoid the progression of myopia due to such focusing defects, it is well known to use myopia corrective lenses of the progressive multifocal ophthalmic lens type. Bifocal lenses can also be examples of ophthalmic lenses that can be used to slow down the progression of myopia.

[0004] Each person may respond differently to different myopia control products. However, since myopia progression is a long-term process, it is difficult for eye care professionals to estimate the efficacy of a given myopia control product for a wearer. Clinical trials and prototyping are both time-consuming and expensive. A model that can estimate the efficacy of new solutions to slow myopia progression may be needed, so that a lot of time and money can be saved by reducing the number of lenses to be tested, or by pre-selecting the most promising candidates, or by helping to design myopia control solutions.

[0005] Moreover, in clinical practice, it is difficult to guess whether one product is better for a child. A model that ranks myopia solutions very accurately could be a great help for clinicians in choosing the best product. Summary of the invention

[0006] A simplified summary of the invention is presented below in order to provide a basic understanding of various aspects of the disclosed invention. The summary of the invention is not an exhaustive overview of all contemplated aspects, and is neither intended to identify key or important elements of all aspects, nor to delineate the scope of any or all aspects. The sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to a more detailed description that is presented later.

[0007] The present disclosure describes a method for selecting or conceiving / designing lenses. In some embodiments, the method can be applied to lenses such as myopia control, visual fatigue, etc. In some embodiments, a prediction model is provided for ranking myopia control solutions based on visual parameters, behavioral parameters, and biometric parameters. In some embodiments, the prediction model can be established based on the myopic eye characteristics, the wearer's behavior, and the defocus caused by the myopia control solution.

[0008] In one aspect of the present disclosure, a method, computer readable medium, and apparatus for evaluating the efficacy of an ophthalmic lens in controlling at least one visual impairment (e.g., myopia) of at least one wearer of the ophthalmic lens is provided. The apparatus may obtain data representing optical characteristics of the ophthalmic lens, characteristics of the at least one wearer, and behavior of the at least one wearer. The apparatus may determine, by at least one processor, the efficacy of the ophthalmic lens for the at least one wearer based on the representative data corresponding to the at least one wearer based on a predetermined relationship model.

[0009] In another aspect of the present disclosure, a method, computer readable medium, and apparatus for constructing a relationship model are provided, the relationship model being configured to provide the efficacy of at least one ophthalmic lens in controlling at least one visual impairment (e.g., myopia) of a wearer of the at least one ophthalmic lens. The apparatus may obtain data representing optical characteristics of the at least one ophthalmic lens, characteristics of a monitored wearer, and behavior of the monitored wearer. The apparatus may obtain monitored efficacy corresponding to the representative data. The apparatus may construct a relationship model by at least one processor by associating the representative data corresponding to the monitored wearer with the monitored efficacy. In another aspect of the present disclosure, a method, computer readable medium, and apparatus for constructing the relationship model are provided, the relationship model being advantageously configured to execute a method for evaluating the efficacy of an ophthalmic lens in any of its execution modes.

[0010] To accomplish the foregoing and related ends, the disclosed aspects include the features hereinafter fully described and particularly pointed out in the claims. The following description and the accompanying drawings set forth in detail illustrate certain features of the aspects of the present disclosure. However, these features are indicative of only a few of the various ways in which the principles of the various aspects may be employed, and this description is intended to include all such aspects and their equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 is a diagram illustrating an example of a myopia control prediction model.

[0012] Figure 2is a diagram illustrating the pattern of defocus on the retina corresponding to the position on the lens.

[0013] Figure 3 The above diagram Figure 1 and Figure 2 A diagram of a simplified example of the prediction model described in .

[0014] Figure 4 The above diagram Figures 1 to 2 A diagram of another simplified example of the prediction model described in .

[0015] Figure 5 is a graph showing the connection between the defocus index and myopia control data for a given subject.

[0016] Figure 6 is a flow chart of a method of constructing a relationship model configured to provide efficacy of at least one ophthalmic lens in controlling at least one visual impairment of a wearer of the at least one ophthalmic lens.

[0017] Figure 7 is a flow chart of a method of evaluating the efficacy of an ophthalmic lens in controlling at least one visual disorder of at least one wearer of the ophthalmic lens.

[0018] Figure 8 is a conceptual data flow diagram illustrating the flow of data between different devices / components in an exemplary apparatus.

[0019] Fig. 9 is a diagram illustrating an example of a hardware implementation for a device employing a processing system. DETAILED DESCRIPTION

[0020] The specific embodiments described below in conjunction with the accompanying drawings are intended to be a description of various possible configurations, and are not intended to represent the only configurations that can practice the concepts described herein. In order to thoroughly understand the various concepts, the specific embodiments include specific details. However, it will be apparent to those skilled in the art that these concepts can be practiced without these specific details. In some cases, known structures and components are shown in block diagram form to avoid obscuring these concepts.

[0021] Several aspects of determining lenses for myopia control or visual fatigue relief will now be presented with reference to various devices and methods. The devices and methods will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, components, circuits, processes, algorithms, etc. (collectively referred to as "elements"). These elements can be implemented using electronic hardware, computer software, or any combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system.

[0022] As an example, an element or any part of an element or any combination of elements may be implemented as a "processing system" including one or more processors or one or more computing devices. Examples of processors include microprocessors, microcontrollers, graphics processing units (GPUs), central processing units (CPUs), application processors, digital signal processors (DSPs), reduced instruction set computing (RISC) processors, systems on chips (SoCs), baseband processors, field programmable gate arrays (FPGAs), programmable logic devices (PLDs), state machines, gating logic, discrete hardware circuits, and other suitable hardware configured to perform the various functions described in this disclosure. One or more processors in a processing system may execute software. Software should be broadly interpreted as referring to instructions, instruction sets, codes, code segments, program codes, programs, subroutines, software components, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, processes, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description languages, or other forms.

[0023] Therefore, in one or more example embodiments, the described functions can be implemented in hardware, software or any combination thereof. If implemented in software, the functions can be stored on a computer-readable medium or encoded as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media. Storage media can be any available medium that can be accessed by a computer. As an example and not limitation, such computer-readable media can include random access memory (RAM), read-only memory (ROM), electrically erasable programmable ROM (EEPROM), optical disk storage, magnetic disk storage, other magnetic storage devices, a combination of computer-readable media of the above types, or any other medium that can be used to store computer executable code in the form of instructions or data structures accessible to a computer.

[0024] This disclosure describes a method for lens selection, or conception or evaluation using user data (e.g., medical prescription, lifestyle, time wearing glasses, etc.) and specific eye characteristics (e.g., peripheral refraction or eye shape). In some embodiments, user data can be collected from "average" users defined based on demographic data or from a given individual.

[0025] In some embodiments, the predictive model can be built based on the following steps: a) creating a standard based on lens, eye, and lifestyle parameters (the standard can be called an optical index, more specifically, a defocus index (DI); b) calculating the standard for a user and existing lenses that have been tested for a given effect; c) obtaining performance factors (e.g., myopia control) from testing of the lenses; d) associating or linking the standard and performance factor for each lens through a mathematical function.

[0026] In some embodiments, step d) associating or relating the criteria and the performance factor of each lens by a mathematical function means using a predetermined relationship model.

[0027] In some embodiments, the predictive model can be used for lens conception. For example, for a lens with unknown performance, the standard can be calculated and obtained by the predictive model, the predicted performance factor of a standard user or a group of standard users.

[0028] In some embodiments, the predictive model can be used for lens selection. For example, for a given user, the criteria for each lens can be recalculated based on the personal user data. A new predictive model can be determined, and the most effective lens for the user can be selected for this user based on the new predictive model.

[0029] In some embodiments, the predictive model can be used for lens evaluation. For example, the standard for a particular lens can be recalculated for a standard user, a specific user, or a group of users (standard or specific). The predicted performance of a particular lens can be determined and compared to other lenses (for each user or as an average performance).

[0030] In some embodiments, the prediction model can be updated based on new clinical trials (features and efficacy of lenses) or a database of lens features / efficacy on which new lenses are tested. In some embodiments, a set of standard users may have different refractive and other eye features. Standard users may have eye features that are representative of a particular group of wearers.

[0031] In some embodiments, a predictive model for predicting myopia control efficacy based on a defocus index is provided. The defocus index (standard) can be calculated based on visual characteristics (e.g., refraction, accommodation lag), eye characteristics or biological characteristics (e.g., peripheral refraction at each location of the retina), the subject's lifestyle or behavior (e.g., time spent on near and far vision, time spent at normal close distances), and different lenses. The efficacy of an ophthalmic lens in controlling visual impairment of one or more wearers of the ophthalmic lens is the ability of the ophthalmic lens to produce the desired or expected results in controlling visual impairment of one or more wearers. In some embodiments, efficacy can be defined as a percentage value, for example 100% is the highest efficacy and 0% is the lowest efficacy.

[0032] For each lens, a defocus index can be calculated. The defocus index is defined as the weighted sum of the defocus values ​​at different locations on the retina, corresponding to multiple locations on the lens (e.g., locations for distance and near vision).

[0033] Figure 11 is a diagram 100 illustrating an example of a myopia control prediction model. In this example, a retina 102 and a lens 104 are shown. The retina 102 includes five locations: central 110, superior 112, inferior 114, temporal 116, and nasal 118. There are two fixation points or locations on the lens 104 (near point 120 and far point 122).

[0034] When viewing through each of the two positions of the lens 104 (the near point 120 and the far point 122), the retinal position is associated with a zone on the lens, i.e., the power in positions 120 and 122 on the lens 104 produces a given defocus value on the retina 102 that is related to the power of the lens in this retinal position, the peripheral refraction in this portion of the retina, and the accommodation lag (usually considered to be zero in hyperopia, but not necessarily).

[0035] Figure 2 2 is a diagram illustrating a pattern of defocus on the retina 102 corresponding to locations 120 and 122 on the lens 104. As shown, each location on the retina 102 has a defocus value corresponding to location 120 on the lens 104 and a defocus value corresponding to location 122 on the lens 104.

[0036] Therefore, the formula for calculating the defocus index with respect to the retina 102 and the lens 104 may be:

[0037] DI=%FV*((wCR*(CRx+CD Far +Lag Far )

[0038] +wUR*(URx+UD Far +Lag Far )

[0039] +wLR*(LRx+LD Far +Lag Far )

[0040] +wTR*(TRx+TD Far +Lag Far )

[0041] +wNR*(NRx+ND Far +Lag Far ))+

[0042] %NV*((wCR*(CRx+CD Near +Lag Near )

[0043] +wUR*(URx+UD Near +Lag Near )

[0044] +wLR*(LRx+LD Near +Lag Near )

[0045] +wTR*(TRx+TD Near +Lag Near )

[0046] +wNR*(NRx+ND Near +Lag Near )), (1)

[0047] in

[0048] Wearer's behavioral (lifestyle related) parameters:

[0049] %FV: Percentage of time spent in distance vision

[0050] %NV: Percentage of time spent on near vision = 1-%FV

[0051] Weights of local parts of the retina (some parts of the retina contribute more to emmetropization than others):

[0052] wCR: weight of central retina

[0053] wUR: weight of the upper retina

[0054] wLR: weight of the inferior retina

[0055] wTR: weight of the temporal retina

[0056] wNR: weight of the nasal retina

[0057] Relative refraction at each location of the retina (periphery):

[0058] CRx: Central Refraction / Correction

[0059] NRx: mean relative peripheral refraction in the nasal retina

[0060] TRx: mean relative peripheral refraction in the temporal retina

[0061] URx: mean relative peripheral refraction in the superior retina

[0062] LRx: mean relative peripheral refraction in the inferior retina

[0063] Defocus caused by the lens at each location on the retina:

[0064] CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens

[0065] ND Far : The defocus caused by the lens in the nasal retina when looking through the distance point of the lens

[0066] TD Far : Defocus caused by the lens in the temporal retina when looking through the distance point of the lens

[0067] UD Far : The defocus caused by the lens in the upper retina when looking through the distance point of the lens

[0068] LD Far : The defocus caused by the lens in the lower retina when looking through the distance point of the lens

[0069] CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens

[0070] ND Near : Defocus caused by the lens in the nasal retina when looking through the near point of the lens

[0071] TD Near : Defocus caused by the lens in the temporal retina when viewing through the near point of the lens

[0072] UD Near : The defocus caused by the lens in the upper retina when looking through the near point of the lens

[0073] LD Near : The defocus caused by the lens in the lower retina when looking through the near point of the lens

[0074] The accommodation error caused by the lens at a given near distance is:

[0075] Lag Far : The hysteresis of accommodation caused by the lens at far distance (looking at distant objects). By convention, the sign is negative for hysteresis. For lead of accommodation, the sign will be positive. Usually, the hysteresis is null at distance.

[0076] Lag Near : The accommodation lag caused by the lens at near distance (viewing a near object at a given distance). By convention, the sign is negative for lag. For an accommodation lead, the sign will be positive. For different near distances, the lag value will be different.

[0077] The defocus caused by a lens is proportional to the amount of light that passes through the pupil at a given power of the lens. That is, for example, if the two powers of the lens pass through the pupil in a 50 / 50% ratio, the defocus is 50% of one power + 50% of the other power.

[0078] This example can be extended to every single point on the lens and retina, each of which has hundreds of lens and peripheral refractive points.

[0079] Figure 3 The above diagram shows Figure 1 and Figure 2 FIG300 is a diagram of a simplified example of a prediction model described in . In this example, a retina 302 and a lens 304 are shown. The retina 302 includes only one location, namely the center 310. There are two fixation points or locations on the lens 304 (the near point 320 and the distance point 322). Therefore, in the simplified example, there are only two locations 320 and 322 on the lens 304, the accommodation lag at the near point 320 (the accommodation lag at the distance point 322 is considered to be zero), and there is no peripheral refraction in this simplified example. For example, this model can be very suitable for bifocals of progressive lenses. There is no need to measure peripheral refraction, which can be complicated and expensive. Figure 3 Defocus patterns corresponding to locations 320 and 322 on the lens 304 on the retina 302 are shown.

[0080] Therefore, the formula for calculating the defocus index with respect to the retina 302 and the lens 304 may be:

[0081] DI=%FV*(CRx+CD Far )+%NV*(CRx+CD Near +Lag Near )(2)

[0082] in

[0083] Lifestyle related parameters:

[0084] %FV: Percentage of time spent in distance vision

[0085] %NV: Percentage of time spent on near vision = 1-%FV

[0086] Defocus caused by the lens at each location on the retina:

[0087] CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens

[0088] CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens

[0089] Relative refraction at each location of the retina (periphery):

[0090] CRx: Central Refraction / Correction

[0091] The accommodation error caused by the lens at a given near distance is:

[0092] Lag Near : The accommodation lag caused by the lens at near distance (viewing a near object located at a given distance). By convention, the sign is negative for lag. For lead of accommodation, the sign will be positive. For different near distances, the lag value will be different.

[0093] Figure 4 The above diagram Figure 1 to Figure 2 FIG400 is another simplified example of the prediction model described in . In this example, a retina 402 and a lens 406 are shown. The retina 402 includes two locations, namely a central 410 and a peripheral 412. There is only one gaze point or location (the distance point 422) on the lens 406. Therefore, in the simplified example, only the distance point 422 with two locations on the retina 402 (central 410 and peripheral 412) is considered. The entire peripheral retina is considered to have the same peripheral refractive value. This can be suitable for concentric peripheral corrective lenses. Figure 4 A defocus pattern corresponding to a location 422 on the lens 406 on the retina 402 is shown.

[0094] Therefore, the formula for calculating the defocus index with respect to the retina 402 and the lens 406 may be:

[0095] DI=(CRx+CD Far )+wUR*(PRx+PD Far ) (3)

[0096] in

[0097] Relative refraction at each location of the retina (periphery):

[0098] CRx: Central Refraction / Correction

[0099] PRx: mean relative peripheral refraction in the peripheral retina

[0100] Defocus caused by the lens at each location on the retina:

[0101] CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens

[0102] PD Far : The defocus caused by the lens in the peripheral retina when looking through the distance point of the lens.

[0103] In this example, the lens is considered to have the same power in the portion corresponding to the projection of the peripheral retina, or the average power over this area is considered.

[0104] Myopia control data have been obtained in clinical trials of many different lenses. The following table shows, as an example, the average myopia control values ​​of different lenses calculated for the wearer, and the DI of each lens:

[0105]

[0106]

[0107] The above table was obtained using the following wearer characteristics:

[0108] %FV=30%

[0109] %NV=70%

[0110] Hysteresis at 30cm = 1D (diopter)

[0111]

[0112] Figure 5 5 is a graph 500 showing the relationship between the defocus index and myopia control data for a given subject. As shown, for this particular subject or for a general subject,

[0113] Myopia control (%) = 0.1983*DI + 0.6325. (4)

[0114] In some embodiments, the above reference Figures 1 to 5 The described prediction model can be used for new lens evaluation. For example, for a new spectacle lens for myopia control, using the same wearer data as above, one can calculate:

[0115] DI = -2.06,

[0116] Estimated myopia control efficacy = 0.1983* - 2.06 + 0.6325 = 22%.

[0117] Thanks to the predictive model, the average myopia control efficacy can be estimated to be 22%. This estimate can help decide whether the new lens is promising enough to proceed to clinical trials, or whether further research on the concept is needed.

[0118] In some embodiments, the above reference Figures 1 to 5The described prediction model can be used to select lenses for different children. For example, two parents with two children may go to see an optometrist. The first child is 6 years old; his refraction is -2.00D (diopter); his near lag is 1D; his near heterophoria is -4Pr. D (prism diopters) exophoria; he spends 10% of his time working at near (likes to play soccer). The second child is 7 years old; her refraction is -4.00D; her near lag is 2D; her near heterophoria is -4Pr. D exophoria; she spends 90% of her time working at near (likes to read and gets sunburned easily).

[0119] Both children are still very young and have limited hygiene. Therefore, the optician may decide not to choose contact lenses. He may consider which spectacle lenses are best for each child: single vision lenses or progressive addition lenses (PAL).

[0120] Based on the above Figures 1 to 5 Using the prediction model described in , the DI for different lenses can be calculated for each child. For example, for the first child, the DI for single vision lenses can be -1.10; the DI for PAL can be -0.70. For the second child, the DI for single vision lenses can be -3.73; the DI for PAL can be -4.12.

[0121] Therefore, for the first child, the optometrist may decide to prescribe PAL lenses (lower DI and therefore better myopia control); for the second child, the optometrist may recommend single vision lenses, as the DI shows that PALs increase myopia progression compared to single vision lenses.

[0122] Figure 6 600 is a flow chart of a method of constructing a relationship model configured to provide an efficacy of at least one ophthalmic lens in controlling at least one visual impairment (e.g., myopia) of a wearer of the at least one ophthalmic lens. In some embodiments, the method may be performed by a device (e.g., Figure 8 or Fig. 9 The device 802 / 802' shown is executed.

[0123] At 602, the device may obtain data representing an optical characteristic of the at least one ophthalmic lens, a characteristic of a monitored wearer, and a behavior of the monitored wearer. In some embodiments, the behavior of the monitored wearer may include a proportion of time spent in near vision and distance vision. In some embodiments, the optical characteristic of the at least one ophthalmic lens may include the optical power of the at least one ophthalmic lens in at least one position of the at least one ophthalmic lens. In some embodiments, the at least one position of the at least one ophthalmic lens may include at least one of a near point or a distance point of the at least one ophthalmic lens. In some embodiments, the characteristic of the monitored wearer may include at least one of a central refraction, one or more peripheral refractions, or an accommodation hysteresis. In some embodiments, the one or more peripheral refractions may be related to an eye shape; and, the accommodation hysteresis may be related to a psychological condition of the monitored wearer. In some embodiments, at least a portion of the characteristic of the monitored wearer may be caused by the at least one ophthalmic lens.

[0124] Accommodative hysteresis is the lack of regulation that causes blur. People who are insensitive to blur have higher accommodative hysteresis. Blur sensitivity is related to a person's personality (also considered part of psychological condition).

[0125] Woods et al., "A Relationship between Tolearance of blur and Personality," IOVS, Vol. 51, No. 11, November 2011, teaches: Multiple factors suggest that people with low self-esteem require strong evidence of blur to be bothered by blurriness in an image or blur caused by a visual device. In addition, people with clutter may tolerate blur because it is just another manifestation of the untidy nature of their personal environment. These two factors predicted blur tolerance better than hypothesized overall psychological adjustment to sensory input.

[0126] At 604, the device may obtain monitored efficacy corresponding to the representative data. In some embodiments, the representative data and the monitored efficacy may be derived from clinical data regarding at least one ophthalmic lens. In some embodiments, the monitored wearer characteristics and the monitored wearer behavior may be continuously updated based on clinical trials.

[0127] At 608, the device may construct, by at least one processor, a relationship model by associating the representative data corresponding to the monitored wearer with the monitored efficacy. In some embodiments, to construct the relationship model, the device may calculate an optical index of each ophthalmic lens in at least one ophthalmic lens based on the optical characteristics of the ophthalmic lens, the characteristics of the monitored wearer, and the behavior of the monitored wearer, and associate the optical index with the monitored efficacy. In some embodiments, the relationship model may represent a linear or nonlinear function between efficacy and optical index.

[0128] In some embodiments, the optical index may be calculated as a weighted function of the values ​​at at least one location of the retina of the monitored wearer. In some embodiments, the optical index may be calculated based on one or more of: the percentage of time spent in distance vision, the percentage of time spent in near vision, the weight of at least one location of the retina of the monitored wearer, the refraction of at least one location of the retina of the monitored wearer, the optical power of the ophthalmic lens corresponding to at least one location of the retina, or the accommodation hysteresis caused by the ophthalmic lens at a given distance. In such embodiments, the optical index may be a weighted function of the values ​​at least one location of the retina of the monitored wearer. Figures 1 to 5 In some embodiments, the optical index may be calculated using formula (1). In some embodiments, the optical index may be calculated using a modified or simplified version of formula (1), such as formula (2) or (3). In some embodiments, the optical power of the ophthalmic lens corresponding to at least one location of the retina may be the defocus caused by the lens in at least one location of the retina, such as CD Far ND Far , TD Far UD Far , LD Far , CD Near ND Near , TD Near UD Near , LD Near , CD Far , CD Near , or PD Far One or more of .

[0129] Figure 7 700 is a flow chart of a method for evaluating the efficacy of an ophthalmic lens in controlling at least one visual impairment (e.g., myopia) of at least one wearer of the ophthalmic lens. In some embodiments, the method may be performed by a device (e.g., Figure 8 or Fig. 9 The device 802 / 802' shown is executed.

[0130] At 702, the device may obtain data representing an optical characteristic of an ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer. In some embodiments, at least a portion of the characteristic of the at least one wearer may be caused by the ophthalmic lens. In some embodiments, the behavior of the at least one wearer may include a proportion of time spent on near and far vision. In some embodiments, the optical characteristic of the ophthalmic lens may include the optical power of the ophthalmic lens in at least one position of the ophthalmic lens. In some embodiments, the at least one position of the ophthalmic lens may include at least one of a near point or a far point of the ophthalmic lens. In some embodiments, the characteristic of the at least one wearer may include at least one of a central refraction, one or more peripheral refractions, or an accommodation hysteresis. In some embodiments, the one or more peripheral refractions may be related to an eye shape; and, the accommodation hysteresis may be related to a psychological condition of the at least one wearer.

[0131] At 704, the device may determine an efficacy of the ophthalmic lens for the at least one wearer from the representative data corresponding to the at least one wearer based on a predetermined relationship model. In some embodiments, the efficacy may be configured to select a suitable ophthalmic lens suitable for controlling the at least one visual impairment of the at least one wearer. In such embodiments, selecting a suitable ophthalmic lens may be lens selection and evaluation, as well as lens conception, as long as the predicted performance factor (efficacy) for specific users is intended to select a suitable lens for those users.

[0132] In some embodiments, the predetermined relationship model may compare data representing optical characteristics of the ophthalmic lens, characteristics of the at least one wearer, and behavior of the at least one wearer with data of a database of lens characteristics / efficacy.

[0133] A set of standard users may have different refractive and other eye characteristics.A standard user may have eye characteristics that are representative of a particular group of wearers.

[0134] In some embodiments, data about the user's refraction and eye characteristics is stored in a database.

[0135] In some embodiments, data relating to the refraction and eye characteristics of standard users may be stored in a database, which data may have eye characteristics representative of a particular group of users.

[0136] In some embodiments, the predetermined relationship model may compare data representing optical characteristics of the ophthalmic lens, characteristics of the at least one wearer, and behavior of the at least one wearer with data about a standard user having eye characteristics representative of a particular wearer group.

[0137] In some embodiments, the predetermined relationship model may compare data representing the behavior of the at least one wearer with data of a database of users and their respective behaviors.

[0138] The predictive model can select the appropriate ophthalmic lens based on lens selection and evaluation and lens conception, to the extent that it predicts performance factors (efficacy), and user eye characteristics and user behavior.

[0139] In some embodiments, in order to determine the efficacy of the ophthalmic lens, the device can calculate the optical index of the ophthalmic lens based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, and determine the efficacy of the ophthalmic lens according to the optical index based on a predetermined relationship model.

[0140] In some embodiments, the optical index may be calculated as a weighted function of values ​​at at least one location of the retina of at least one wearer. In some embodiments, the optical index may be calculated based on one or more of: the percentage of time spent in distance vision, the percentage of time spent in near vision, the weight of at least one location of the retina of at least one wearer, the refraction of at least one location of the retina of at least one wearer, the optical power of the ophthalmic lens corresponding to at least one location of the retina, or the accommodation hysteresis caused by the ophthalmic lens at a given distance. In such embodiments, the optical index may be a weighted function of values ​​at at least one location of the retina of at least one wearer. Figures 1 to 5 In some embodiments, the optical index may be calculated using formula (1). In some embodiments, the optical index may be calculated using a modified or simplified version of formula (1), such as formula (2) or (3). In some embodiments, the optical power of the ophthalmic lens corresponding to at least one location of the retina may be the defocus caused by the lens in at least one location of the retina, such as CD Far ND Far , TD Far UD Far , LD Far , CD Near ND Near , TD Near UD Near , LD Near , CD Far , CD Near , or PD Far One or more of .

[0141] In some embodiments, to determine the efficacy of an ophthalmic lens, the device may select an ophthalmic lens for a wearer from among several ophthalmic lenses based on an optical index calculated for the ophthalmic lens. Each optical index may be calculated based at least in part on a characteristic of the wearer and a behavior of the wearer.

[0142] Figure 8 800 is a conceptual data flow diagram illustrating the data flow between different devices / components in an exemplary device 802. The device 802 may be a computing device or a system including multiple computing devices. The device 802 may include an optical index calculation component 804 that calculates an optical index of an ophthalmic lens based on an optical characteristic of the ophthalmic lens, a characteristic of at least one wearer, and a behavior of at least one wearer. In one embodiment, the optical index calculation component 804 may perform the above reference Figure 6 608 or Figure 7 The operation described in 704.

[0143] The device 802 may include a lens efficacy determination component 806 that determines the efficacy of the ophthalmic lens based on the optical index received from the optical index calculation component 804. In one embodiment, the lens efficacy determination component 806 may perform the above reference Figure 6 608 or Figure 7 The operation described in 704.

[0144] Device 802 may include executing Figure 6 and Figure 7 The additional components of each box of the algorithm in the preceding flowchart. Thus, Figure 6 and Figure 7 Each block in the foregoing flowchart may be performed by a component, and the device may include one or more of those components. These components may be one or more hardware components that are specifically configured to perform the stated process / algorithm, the stated process / algorithm is implemented by a processor configured to perform the stated process / algorithm, is stored in a computer-readable medium for implementation by a processor, or some combination thereof.

[0145] Fig. 9 900 is a diagram illustrating an example of a hardware implementation of a device 802' employing a processing system 914. In some embodiments, the device 802' may be the device 802' described above with reference to Figure 8Device 802 described. Device 802' may include one or more computing devices. Processing system 914 may be implemented with a bus architecture, which is generally represented by bus 924. Bus 924 may include any number of interconnecting buses and bridges, depending on the specific application and overall design constraints of processing system 914. Bus 924 connects various circuits including one or more processors and / or hardware components (represented by processor 904, components 804, 806, and computer readable medium / memory 906) together. Bus 924 may also connect various other circuits, such as timing sources, peripherals, voltage regulators, and power management circuits, which are well known in the art and will not be described in detail.

[0146] The processing system 914 includes a processor 904 coupled to a computer-readable medium / memory 906. The processor 904 is responsible for general processing, including executing software stored on the computer-readable medium / memory 906. When executed by the processor 904, the software causes the processing system 914 to perform the various functions described above for any particular device. The computer-readable medium / memory 906 can also be used to store data manipulated by the processor 904 when executing the software. The processing system 914 further includes components 804 and 806. The components can be software components running in the processor 904, resident / stored in the computer-readable medium / memory 906, one or more hardware components coupled to the processor 904, or some combination thereof.

[0147] In the following, various aspects of the present disclosure will be described:

[0148] Example 1 is a method or computer program or device for evaluating the efficacy of an ophthalmic lens in controlling at least one visual impairment of at least one wearer of the ophthalmic lens. The device can obtain data representing optical characteristics of the ophthalmic lens, characteristics of the at least one wearer, and behavior of the at least one wearer, and determine the efficacy of the ophthalmic lens for the at least one wearer based on the representative data corresponding to the at least one wearer based on a predetermined relationship model. In some embodiments, the efficacy can be configured to select a suitable ophthalmic lens suitable for controlling the at least one visual impairment of the at least one wearer.

[0149] In Example 2, the subject matter of Example 1 can optionally include that at least a portion of the at least one wearer characteristic is caused by the ophthalmic lens.

[0150] In Example 3, the subject matter of Example 1 or Example 2 can optionally include that the behavior of at least one wearer can include a proportion of time spent in near vision and distance vision.

[0151] In Example 4, the subject matter of any one of Examples 1 to 3 can optionally include that the optical characteristic of the ophthalmic lens can include an optical power of the ophthalmic lens in at least one location of the ophthalmic lens.

[0152] In Example 5, the subject matter of Example 4 can optionally include that the at least one position of the ophthalmic lens can include at least one of a near point or a distance point of the ophthalmic lens.

[0153] In Example 6, the subject matter of any of Examples 1 to 5 can optionally include that the at least one wearer characteristic can include at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis.

[0154] In Example 7, the subject matter of Example 6 can optionally include that one or more peripheral refractions can be related to eye shape, and the accommodation hysteresis can be related to at least one psychological condition of the wearer.

[0155] In Example 8, the subject matter of any one of Examples 1 to 7 may optionally include: in order to determine the efficacy of the ophthalmic lens, the device may: calculate an optical index of the ophthalmic lens based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer; and determine the efficacy of the ophthalmic lens according to the optical index based on a predetermined relationship model.

[0156] In Example 9, the subject matter of Example 8 can optionally include that the optical index can be calculated as a weighted function of values ​​at at least one location of the retina of at least one wearer.

[0157] In Example 10, the subject matter of Example 9 may optionally include that the optical index may be calculated based on one or more of: a percentage of time spent in distance vision, a percentage of time spent in near vision, a weight of at least one location of the retina of the at least one wearer, a refraction of at least one location of the retina of the at least one wearer, a power of the ophthalmic lens corresponding to at least one location of the retina, or an accommodation hysteresis caused by the ophthalmic lens at a given distance. In some embodiments, the optical index may be the above reference Figures 1 to 5 In some embodiments, the optical index may be calculated using formula (1). In some embodiments, the optical index may be calculated using a modified or simplified version of formula (1), such as formula (2) or (3). In some embodiments, the optical power of the ophthalmic lens corresponding to at least one location of the retina may be the defocus caused by the lens in at least one location of the retina, such as CD Far ND Far , TD Far UD Far , LDFar , CD Near ND Near , TD Near UD Near , LD Near , CD Far , CD Near , or PD Far One or more of .

[0158] In Example 11, the subject matter of any one of Examples 8 to 10 may optionally include: in order to determine the efficacy of the ophthalmic lens, the device may select an ophthalmic lens for a wearer from a plurality of ophthalmic lenses based on a plurality of optical indices calculated for the plurality of ophthalmic lenses, wherein each of the plurality of optical indices may be calculated at least in part based on characteristics of the wearer and behavior of the wearer.

[0159] Example 12 is a method or apparatus for constructing a relationship model configured to provide efficacy of at least one ophthalmic lens in controlling at least one visual impairment of a wearer of the at least one ophthalmic lens. The apparatus may: obtain data representing optical characteristics of the at least one ophthalmic lens, characteristics of a monitored wearer, and behavior of the monitored wearer; obtain monitored efficacy corresponding to the representative data; and construct the relationship model by associating the representative data corresponding to the monitored wearer with the monitored efficacy.

[0160] In Example 13, the subject matter of Example 12 can optionally include that at least a portion of the monitored wearer characteristic can be caused by at least one ophthalmic lens.

[0161] In Example 14, the subject matter of Example 12 or Example 13 can optionally include that the monitored behavior of the wearer can include a proportion of time spent in near and distance vision.

[0162] In Example 15, the subject matter of any one of Examples 12 to 14 can optionally include that the optical characteristic of the at least one ophthalmic lens can include an optical power of the at least one ophthalmic lens in at least one location of the at least one ophthalmic lens.

[0163] In Example 16, the subject matter of Example 15 can optionally include that the at least one position of the at least one ophthalmic lens can include at least one of a near point or a distance point of the at least one ophthalmic lens.

[0164] In Example 17, the subject matter of any one of Examples 12 to 16 can optionally include that the monitored characteristic of the wearer can include at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis.

[0165] In Example 18, the subject matter of Example 17 can optionally include that one or more peripheral refractions can be related to eye shape, and the accommodation hysteresis can be related to a monitored psychological condition of the wearer.

[0166] In Example 19, the subject matter of any one of Examples 12 to 18 may optionally include: in order to construct the relationship model, the device may: calculate an optical index of each ophthalmic lens of at least one ophthalmic lens based on the optical characteristics of the ophthalmic lens, the characteristics of the monitored wearer, and the behavior of the monitored wearer; and associate the optical index with the monitored efficacy.

[0167] In Example 20, the subject matter of Example 19 can optionally include that the optical index can be calculated as a weighted function of values ​​at at least one location of the monitored wearer's retina.

[0168] In Example 21, the subject matter of Example 20 may optionally include: the optical index may be calculated based on one or more of: the percentage of time spent in distance vision, the percentage of time spent in near vision, the weight of at least one location of the monitored wearer's retina, the refraction of at least one location of the monitored wearer's retina, the optical focal length of the ophthalmic lens corresponding to at least one location of the retina, or the accommodation lag caused by the ophthalmic lens at a given distance.

[0169] In Example 22, the subject matter of any one of Examples 12 to 21 can optionally include that the representative data and monitored efficacy can be derived from clinical data regarding at least one ophthalmic lens.

[0170] In Example 23, the subject matter of any one of Examples 12 to 22 can optionally include that the monitored wearer characteristics and the monitored wearer behavior can be continuously updated based on clinical trials.

[0171] Those skilled in the art will appreciate that the terms used herein are for the purpose of describing various embodiments only and are not intended to limit the present invention. As used herein, the singular forms "a", "an", and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising", when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0172] It should be understood that the specific order or hierarchy of blocks in the disclosed process / flowchart is an illustration of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of blocks in the process / flowchart can be rearranged. Further, some blocks can be combined or omitted. The accompanying method claims present the elements of the various blocks in an example order and are not meant to be limited to the specific order or hierarchy presented.

[0173] The previous description is provided to enable any technician in the field to practice the various aspects described herein. Various modifications to these aspects will be obvious to those skilled in the art, and the general principles defined herein can be applied to other aspects. Therefore, the claims are not intended to be limited to the aspects shown herein, but should be given a complete scope consistent with the language claims, wherein unless specifically stated, the elements in the singular form do not mean "one and only one", but "one or more". The word "exemplary" is used herein to mean "used as an example, instance or illustration". Any aspect described as "exemplary" herein does not have to be interpreted as being preferred or advantageous over other aspects. Unless otherwise clearly stated, the term "some" refers to one or more. Such as "at least one of A, B or C", "one or more of A, B or C", "at least one of A, B and C", "one or more of A, B and C", and "A, B, C or any combination thereof" and other combinations include any combination of A, B and / or C, and may include multiples of A, multiples of B, or multiples of C. Specifically, combinations such as "at least one of A, B, or C," "one or more of A, B, or C," "at least one of A, B and C," "one or more of A, B, and C," and "A, B, C, or any combination thereof" may be A only, B only, C only, A and B, A and C, B and C, or A and B and C, wherein any such combination may include one or more members of A, B, or C. All structural and functional equivalents of the elements of the various aspects described throughout this disclosure that are known or later known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be covered by the claims. Moreover, regardless of whether such disclosure is expressly referenced in the claims, nothing disclosed herein is intended to be dedicated to the public. The words "module," "mechanism," "element," "device," and the like are not substituted for the word "device." Thus, unless a claim element is expressly referenced using the phrase "device for...", no claim element should be interpreted as a device plus function.

Claims

1. A method of evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the method comprising: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting, by at least one processor, the efficacy of the ophthalmic lens for the at least one wearer according to the criteria by comparing the criteria with data of a database of lens characteristics / myopia control efficacy based on a predetermined relationship model, The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DIFV*((wCR*(CRx+CD Far +Lag Far ) +wUR*(URx+UD Far +Lay Far ) +wLR*(LRx+LD Far +Lag Far ) +wTR*(TRx+TD Far +Lag Far ) +wNR*(NRx+ND Far +Lag Far ))+ %NV*((wCR*(CRx+CD Near +Lag Near ) +wUR*(URx+UD Near +Lay Near ) +wLR*(LRx+LD Near +Lag Near ) +wTR*(TRx+TD Near +Lag Near ) +wNR*(NRx+ND Near +Lag Near )), in, %FV: percentage of time spent in distance vision; %NV: percentage of time spent on near vision = 1-%FV; wCR: weight of central retina; wUR: weight of the superior retina; wLR: weight of the inferior retina; wTR: weight of the temporal retina; wNR: weight of nasal retina; CRx: central refraction / correction; NRx: mean relative peripheral refraction in the nasal retina; TRx: mean relative peripheral refraction in the temporal retina; URx: mean relative peripheral refraction in the superior retina; LRx: mean relative peripheral refraction in the inferior retina; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; ND Far : The defocus caused by the lens in the nasal retina when looking through the distance point of the lens; TD Far : The defocus caused by the lens in the temporal retina when looking through the distance point of the lens; UD Far : The defocus caused by the lens in the upper retina when looking through the distance point of the lens; LD Far : The defocus caused by the lens in the inferior retina when looking through the distance point of the lens; CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens; ND Near : The defocus caused by the lens in the nasal retina when looking through the near point of the lens; TD Near : The defocus caused by the lens in the temporal retina when viewing through the near point of the lens; UD Near : The defocus caused by the lens in the upper retina when looking through the near point of the lens; LD Near : The defocus caused by the lens in the inferior retina when looking through the near point of the lens; Lag Far : Accommodative lag caused by the lens at long distances; Lag Near : Accommodative lag caused by the lens at close distances.

2. The method of claim 1, wherein: The one or more peripheral refractions are related to eye shape and the accommodative hysteresis is related to a psychological condition of the at least one wearer.

3. A method of evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the method comprising: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting, by at least one processor, the efficacy of the ophthalmic lens for the at least one wearer according to the criteria by comparing the criteria with data of a database of lens characteristics / myopia control efficacy based on a predetermined relationship model, The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DI=%FV*(CRx+CD Far )+%NV*(CRx+CD Near +Lag Near ), in, %FV: percentage of time spent in distance vision; %NV: percentage of time spent on near vision = 1-%FV; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens; CRx: central refraction / correction; Lag Near : Accommodative lag caused by the lens at close distances.

4. The method of claim 3, wherein: The one or more peripheral refractions are related to eye shape and the accommodative hysteresis is related to a psychological condition of the at least one wearer.

5. A method of evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the method comprising: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting, by at least one processor, the efficacy of the ophthalmic lens for the at least one wearer according to the criteria by comparing the criteria with data of a database of lens characteristics / myopia control efficacy based on a predetermined relationship model, The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DI6(CRx+CD Far )+wUR*(PRx+PD Far ) in, CRx: central refraction / correction; PRx: mean relative peripheral refraction in the peripheral retina; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; PD Far : The defocus caused by the lens in the peripheral retina when looking through the distance point of the lens; wUR: weight of the upper retina.

6. The method of claim 5, wherein: The one or more peripheral refractions are related to eye shape and the accommodative hysteresis is related to a psychological condition of the at least one wearer.

7. An apparatus for evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the apparatus comprising: Memory; as well as at least one processor coupled to the memory and configured to: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting the efficacy of the ophthalmic lens for the at least one wearer according to the criteria based on a predetermined relationship model by comparing the criteria with data from a database of lens characteristics / myopia control efficacy, and The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DIFV*((wCR*(CRx+CD Far +Lag Far ) +wUR*(URx+UD Far +Lay Far ) +wLR*(LRx+LD Far +Lag Far ) +wTR*(TRx+TD Far +Lag Far ) +wNR*(NRx+ND Far +Lag Far ))+ %NV*((wCR*(CRx+CD Near +Lag Near ) +wUR*(URx+UD Near +Lay Near ) +wLR*(LRx+LD Near +Lag Near ) +wTR*(TRx+TD Near +Lag Near ) +wNR*(NRx+ND Near +Lag Near )), in, %FV: percentage of time spent in distance vision; %NV: percentage of time spent on near vision = 1-%FV; wCR: weight of central retina; wUR: weight of the superior retina; wLR: weight of the inferior retina; wTR: weight of the temporal retina; wNR: weight of nasal retina; CRx: central refraction / correction; NRx: mean relative peripheral refraction in the nasal retina; TRx: mean relative peripheral refraction in the temporal retina; URx: mean relative peripheral refraction in the superior retina; LRx: mean relative peripheral refraction in the inferior retina; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; ND Far : The defocus caused by the lens in the nasal retina when looking through the distance point of the lens; TD Far : The defocus caused by the lens in the temporal retina when looking through the distance point of the lens; UD Far : The defocus caused by the lens in the upper retina when looking through the distance point of the lens; LD Far : The defocus caused by the lens in the inferior retina when looking through the distance point of the lens; CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens; ND Near : The defocus caused by the lens in the nasal retina when looking through the near point of the lens; TD Near : The defocus caused by the lens in the temporal retina when viewing through the near point of the lens; UD Near : The defocus caused by the lens in the upper retina when looking through the near point of the lens; LD Near : The defocus caused by the lens in the inferior retina when looking through the near point of the lens; Lag Far : Accommodative lag caused by the lens at long distances; Lag Near : Accommodative lag caused by the lens at close distances.

8. An apparatus for evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the apparatus comprising: Memory; as well as at least one processor coupled to the memory and configured to: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting the efficacy of the ophthalmic lens for the at least one wearer according to the criteria based on a predetermined relationship model by comparing the criteria with data from a database of lens characteristics / myopia control efficacy, and The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DI=%FV*(CRx+CD Far )+%NV*(CRx+CD Near +Lag Near ), in, %FV: percentage of time spent in distance vision; %NV: percentage of time spent on near vision = 1-%FV; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens; CRx: central refraction / correction; Lag Near : Accommodative lag caused by the lens at close distances.

9. An apparatus for evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the apparatus comprising: Memory; as well as at least one processor coupled to the memory and configured to: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting the efficacy of the ophthalmic lens for the at least one wearer according to the criteria based on a predetermined relationship model by comparing the criteria with data from a database of lens characteristics / myopia control efficacy, and The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DI6(CRx+CD Far )+wUR*(PRx+PD Far ) in, CRx: central refraction / correction; PRx: mean relative peripheral refraction in the peripheral retina; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; PD Far : The defocus caused by the lens in the peripheral retina when looking through the distance point of the lens; wUR: weight of the upper retina.

10. A computer program for evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the computer executable code comprising instructions for: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting the efficacy of the ophthalmic lens for the at least one wearer according to the criteria based on a predetermined relationship model by comparing the criteria with data from a database of lens characteristics / myopia control efficacy, and The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DIFV*((wCR*(CRx+CD Far +Lag Far ) +wUR*(URx+UD Far +Lay Far ) +wLR*(LRx+LD Far +Lag Far ) +wTR*(TRx+TD Far +Lag Far ) +wNR*(NRx+ND Far +Lag Far ))+ %NV*((wCR*(CRx+CD Near +Lag Near ) +wUR*(URx+UD Near +Lay Near ) +wLR*(LRx+LD Near +Lag Near ) +wTR*(TRx+TD Near +Lag Near ) +wNR*(NRx+ND Near +Lag Near )), in, %FV: percentage of time spent in distance vision; %NV: percentage of time spent on near vision = 1-%FV; wCR: weight of central retina; wUR: weight of the superior retina; wLR: weight of the inferior retina; wTR: weight of the temporal retina; wNR: weight of nasal retina; CRx: central refraction / correction; NRx: mean relative peripheral refraction in the nasal retina; TRx: mean relative peripheral refraction in the temporal retina; URx: mean relative peripheral refraction in the superior retina; LRx: mean relative peripheral refraction in the inferior retina; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; ND Far : The defocus caused by the lens in the nasal retina when looking through the distance point of the lens; TD Far : The defocus caused by the lens in the temporal retina when looking through the distance point of the lens; UD Far : The defocus caused by the lens in the upper retina when looking through the distance point of the lens; LD Far : The defocus caused by the lens in the inferior retina when looking through the distance point of the lens; CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens; ND Near : The defocus caused by the lens in the nasal retina when looking through the near point of the lens; TD Near : The defocus caused by the lens in the temporal retina when viewing through the near point of the lens; UD Near : The defocus caused by the lens in the upper retina when looking through the near point of the lens; LD Near : The defocus caused by the lens in the inferior retina when looking through the near point of the lens; Lag Far : Accommodative lag caused by the lens at long distances; Lag Near : Accommodative lag caused by the lens at close distances.

11. A computer program for evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the computer executable code comprising instructions for: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting the efficacy of the ophthalmic lens for the at least one wearer according to the criteria based on a predetermined relationship model by comparing the criteria with data from a database of lens characteristics / myopia control efficacy, and The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DI=%FV*(CRx+CD Far )+%NV*(CRx+CD Near +Lag Near ), in, %FV: percentage of time spent in distance vision; %NV: percentage of time spent on near vision = 1-%FV; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; CD Near : The defocus caused by the lens in the central retina when looking through the near point of the lens; CRx: central refraction / correction; Lag Near : Accommodative lag caused by the lens at close distances.

12. A computer program for evaluating the efficacy of an ophthalmic lens in controlling myopia progression in at least one wearer of the ophthalmic lens, the computer executable code comprising instructions for: obtaining data representative of an optical characteristic of the ophthalmic lens, a characteristic of the at least one wearer, and a behavior of the at least one wearer, wherein the optical characteristic of the ophthalmic lens comprises at least an optical power of the ophthalmic lens in at least one position of the ophthalmic lens, the characteristic of the at least one wearer comprises at least one of a central refraction, one or more peripheral refractions, or an accommodative hysteresis, and the behavior of the at least one wearer comprises at least a ratio of time spent in near and distance vision; calculating a criterion based on the optical characteristics of the ophthalmic lens, the characteristics of the at least one wearer, and the behavior of the at least one wearer, the criterion being a defocus index of the ophthalmic lens; as well as predicting the efficacy of the ophthalmic lens for the at least one wearer according to the criteria based on a predetermined relationship model by comparing the criteria with data from a database of lens characteristics / myopia control efficacy, and The predetermined relationship model represents at least one of a linear or nonlinear function between the myopia control efficacy and the standard of each lens in the database as a defocus index, wherein the defocus index is calculated based on the following formula: DI6(CRx+CD Far )+wUR*(PRx+PD Far ) in, CRx: central refraction / correction; PRx: mean relative peripheral refraction in the peripheral retina; CD Far : The defocus caused by the lens in the central retina when looking through the distance point of the lens; PD Far : The defocus caused by the lens in the peripheral retina when looking through the distance point of the lens; wUR: weight of the upper retina.

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