Control method, ophthalmic optical bio-modulation device and storage medium

Abstract

This disclosure provides a control method, an ophthalmic photobiological modulation device, and a storage medium, relating to the field of ophthalmic photobiological modulation technology. The method includes: obtaining the age of a target subject; determining the growth rate and axial length growth rate of the target subject within a target time period; determining a target power density for the target subject based on the age, growth rate, and axial length growth rate; and generating a first target light spot with a power density reaching the target power density. Thus, by combining the age of the target subject with its growth rate and axial length growth rate within the target time period, a target power density usable by the target subject is determined, and a first target light spot with a power density reaching the target power density is generated. This ensures that the power density of the light spot used by the ophthalmic photobiological modulation device matches the actual situation of the target subject, helping to improve the intervention effect of the ophthalmic photobiological modulation device.

Description

Technical Field

[0001] This disclosure relates to the field of ophthalmic photobiological modulation (PBM) technology, and more particularly to a control method, an ophthalmic photobiological modulation device, and a storage medium. Background Technology

[0002] Currently, in the field of myopia prevention and control, ophthalmic photobiomodulation devices (e.g., phototherapy devices based on photobiomodulation (PBM) technology) can be used to intervene in myopia in children and adolescents. However, ophthalmic photobiomodulation devices in related technologies typically use a fixed power density for all users' eyes, meaning all users receive the same power density light spot, leading to differences in the actual intervention effect among different users. Summary of the Invention

[0003] Based on this, the present disclosure provides a control method, an ophthalmic photobiological modulation device, and a storage medium.

[0004] According to one aspect of this disclosure, a control method for an ophthalmic photobiological modulation device is provided, applied to the ophthalmic photobiological modulation device, the method comprising: obtaining the age of a target object; obtaining the growth and development rate and axial length growth rate of the target object during a target time period; determining a target power density for the target object based on the age, the growth and development rate and the axial length growth rate; and generating a first target light spot with a power density reaching the target power density.

[0005] According to another aspect of this disclosure, a control device for an ophthalmic photobiological modulation device is provided, applied to the ophthalmic photobiological modulation device. The device includes: an acquisition module for acquiring the age of a target object; a first determination module for determining the growth and development rate of the target object during a target time period; a second determination module for determining the axial length growth rate of the target object during the target time period; a third determination module for determining a target power density for the target object based on the age, the growth and development rate, and the axial length growth rate; and a generation module for generating a first target light spot with a power density reaching the target power density.

[0006] According to another aspect of this disclosure, an ophthalmic photobiological modulation device is provided, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the control method of the ophthalmic photobiological modulation device disclosed in the embodiments of this disclosure.

[0007] According to another aspect of this disclosure, a computer-readable storage medium is provided, which stores computer-executable instructions that, when executed by a processor, are used to implement the control method of the ophthalmic photobiological modulation device disclosed in the embodiments of this disclosure.

[0008] According to another aspect of this disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the control method for the ophthalmic photobiological modulation device disclosed in embodiments of this disclosure.

[0009] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects: The process involves obtaining the target subject's age; determining the target subject's growth rate and axial length growth rate within a target time period; determining the target power density for the target subject based on age, growth rate, and axial length growth rate; and generating a first target light spot with the power density reaching the target power density. By combining the target subject's age, growth rate, and axial length growth rate within the target time period, a usable target power density is determined, and a first target light spot with the power density reaching the target power density is generated. This ensures that the power density of the light spot used by the ophthalmic photobiological modulation device matches the actual situation of the target subject, helping to improve the intervention effect of the ophthalmic photobiological modulation device. Attached Figure Description

[0010] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0011] Figure 1 This is a flowchart illustrating a control method for an ophthalmic photobiological modulation device according to an exemplary embodiment; Figure 2 This is a flowchart illustrating a control method for an ophthalmic photobiological modulation device according to another exemplary embodiment; Figure 3 This is a schematic diagram of the structure of a control device for an ophthalmic photobiological modulation device according to an exemplary embodiment; Figure 4 This is a structural block diagram illustrating an ophthalmic photobiological modulation device according to an exemplary embodiment.

[0012] The accompanying drawings have illustrated specific embodiments of this disclosure, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concepts of this disclosure to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0013] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0014] It should be noted that the collection, storage, use, processing, transmission, provision, and disclosure of any type of information, such as user personal information, in the technical solutions disclosed herein are all carried out with the user's consent and comply with relevant laws and regulations, and do not violate public order and good morals.

[0015] The technical solutions of this disclosure and how they solve the aforementioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this disclosure will now be described with reference to the accompanying drawings.

[0016] First, combine Figure 1 The control method of the ophthalmic photobiological modulation device provided in the embodiments of this disclosure will be described by way of example.

[0017] Figure 1 This is a flowchart illustrating a control method for an ophthalmic photobiological modulation device according to an exemplary embodiment.

[0018] It should be noted that the control method for the ophthalmic photobiological modulation device provided in this embodiment can be executed by the control device of the ophthalmic photobiological modulation device, which can be implemented by software and / or hardware. The control device can be a built-in module of the ophthalmic photobiological modulation device.

[0019] In this embodiment, the control device of the ophthalmic photobiological modulation device is a built-in module of the ophthalmic photobiological modulation device, and the built-in module is a processor, which is used as an example for illustrative description.

[0020] like Figure 1 As shown, the control method of this ophthalmic photobiological modulation device includes the following steps: Step 101: Obtain the age of the target object.

[0021] The target object is the user's identity identifier in the ophthalmic photobiological modulation device, such as user account, login name, electronic credential, digital identity, or other unique identity information, used to identify and distinguish different users in the ophthalmic photobiological modulation device.

[0022] The age of the target subject can be uploaded by the user to the ophthalmic photobiological modulation device, or obtained by the ophthalmic photobiological modulation device through other means.

[0023] It should be noted that the target object in this embodiment is within a preset age range. The preset age range is 6 years old. 18 years old.

[0024] Step 102: Determine the growth and development rate of the target object within the target time period.

[0025] In this embodiment, the target time period can be any time period before the current time, and this embodiment does not make specific limitations on it.

[0026] The target time period can be a target duration, such as one month, two months, three months or six months. This embodiment does not specify the value of the target duration.

[0027] In some embodiments, after obtaining the age of the target object, it can be determined whether the age is within a preset age range. If so, step 102 is executed.

[0028] It should be noted that the methods for determining the growth and development rate of a target object within a target time period differ in different application scenarios, as illustrated below: As an example, obtain the growth rate of the target object uploaded by the user within the target time period.

[0029] As another example, physiological development data of the target object at multiple first time points are obtained, where each first time point falls within a target time period. Based on the physiological development data of the target object at each of the multiple first time points, the growth rate of the target object within the target time period is determined. Thus, by combining the physiological development data of the target object at multiple time points within the target time period, the growth rate of the target object within the target time period is accurately determined.

[0030] In some embodiments, physiological development data of the target object at multiple first time points are stitched together to obtain target stitched data. This target stitched data is then input into a trained growth and development rate prediction model to obtain the growth and development rate of the target object within a target time period. Thus, by combining the trained growth and development rate prediction model, the growth and development rate of the target object within a target time period can be obtained quickly and accurately.

[0031] It should be noted that the growth and development rate prediction model is trained based on the physiological development data of the sample object at multiple time points within the sample time period and the sample growth and development rate of the sample image within the sample time period.

[0032] The physiological development data in this embodiment may include, but are not limited to, weight, height, and bone age.

[0033] Among them, the growth and development rate refers to the rate of change of one or more physiological development indicators (such as height, weight, bone age, etc.) of the target subject within the target time period.

[0034] The growth and development rate in this embodiment may include at least one of the following: height growth rate, weight gain rate, and bone age growth rate.

[0035] It should be noted that this embodiment uses growth and development rate, including height growth rate, as an example for illustrative description.

[0036] Step 103: Determine the axial length growth rate of the target object during the target time period.

[0037] It is understandable that the methods for determining the axial length growth rate of a target object over a target time period differ in different application scenarios, as illustrated below: As an example, the axial length growth rate of a user-uploaded target object can be obtained over a target time period.

[0038] As another example, the axial length of the target object uploaded by the user can be obtained at multiple second time points, and the axial growth rate of the target object in the target time period can be determined based on the axial length of the target object at multiple second time points, wherein the second time points are within the target time period.

[0039] As another example, fundus images of the target object at multiple second time points are obtained, wherein the second time points are within the target time period; the axial length of the target object at each of the multiple second time points is determined based on the fundus images of the target object at each of the multiple second time points; and the axial growth rate of the target object during the target time period is determined based on the axial length of the target object at each of the multiple second time points.

[0040] In some embodiments, for any fundus image, the fundus image can be input into a trained fundus OCT image generation model to obtain the fundus OCT image corresponding to the fundus image, and the corresponding axial length can be determined based on the fundus OCT image.

[0041] The fundus OCT image generation model is obtained by training the sample fundus image of the sample object and the corresponding sample OCT image generation model.

[0042] As another example, fundus OCT images of the target object at multiple second time points are obtained; based on the fundus OCT images of the target object at multiple second time points, the axial length of the target object at each of the multiple second time points is determined, and based on the axial length of the target object at each of the multiple second time points, the axial growth rate of the target object in the target time period is determined.

[0043] Step 104: Determine the target power density for the target object based on age, growth rate, and axial length growth rate.

[0044] In some embodiments, a target power density suitable for the target object is determined based on age, growth rate, and axial length growth rate.

[0045] It is understandable that, in different application scenarios, the methods for determining the target power density for the target object will differ based on age, growth and development rate, and axial length growth rate. Examples are illustrated below: As an example, the average growth rate and average axial length growth rate corresponding to the age are obtained; based on the average growth rate and growth rate, the growth deviation of the target object is determined; based on the average axial length growth rate and axial length growth rate, the axial length growth deviation of the target object is determined; based on the growth deviation and axial length growth deviation, the target power density for the target object is determined.

[0046] In some embodiments, in order to further improve the accuracy of the determined target power density, the gender of the target object can also be obtained. Correspondingly, the average growth rate and average axial length growth rate corresponding to age can be obtained by obtaining the average growth rate and average axial length growth rate corresponding to age and gender.

[0047] In some embodiments, the myopia development risk index value of the target object is determined based on the growth and development deviation and the axial length growth deviation; the target power density for the target object is determined based on the myopia development risk index value.

[0048] In some embodiments, the deviation of axial length growth and the deviation of growth and development can be normalized to obtain normalized deviation of axial length growth and normalized deviation of growth and development; the normalized deviation of axial length growth is subtracted from the normalized deviation of growth and development to obtain the myopia development risk index value.

[0049] The myopia development risk index value ranges from 0 to 1. It can be understood that the higher the myopia development risk index value, the higher the risk of myopia occurrence or progression for the target user.

[0050] As an example, the age range can be obtained, as can the growth rate range and the axial length growth rate range. Then, the target power density corresponding to the age range, growth rate range, axial length growth rate range and power density can be obtained from the pre-saved correspondence between the age range, growth rate range and axial length growth rate range and the power density.

[0051] As another example, power density can be calculated based on age, growth rate, and axial length growth rate to obtain a target power density that is suitable for the target object.

[0052] Step 105: Generate the first target light spot with a power density that reaches the target power density.

[0053] In some embodiments, the ophthalmic photobiological modulation device generates a first target light spot in the eye of a target object, wherein the power density of the first target light spot reaches a target power density.

[0054] In some embodiments, to improve security, the duration of the first target spot in this embodiment can be a first duration.

[0055] In this embodiment, the first duration is a duration preset in the ophthalmic photobiological modulation device, for example, the first duration can be 3 minutes.

[0056] In some embodiments, the first target light spot in this embodiment can be a ring-shaped light spot, so as to avoid the center of the user's pupil and improve safety.

[0057] In the ophthalmic photobiological modulation device, the light source used to generate the first target light spot can be a red light source, for example, a red LED with a wavelength range of 630nm~650nm.

[0058] The control method for an ophthalmic photobiological modulation device provided in this disclosure involves: acquiring the age of the target subject; acquiring the growth rate and axial length growth rate of the target subject during a target time period; determining a target power density for the target subject based on the age, growth rate, and axial length growth rate; and generating a first target light spot with a power density reaching the target power density. Thus, by combining the age of the target subject with its growth rate and axial length growth rate during the target time period, a target power density usable by the target subject is determined, and a first target light spot with a power density reaching the target power density is generated. This ensures that the power density of the light spot used by the ophthalmic photobiological modulation device matches the actual situation of the target subject, helping to improve the intervention effect of the ophthalmic photobiological modulation device.

[0059] It should be noted that the power densities involved in this embodiment are all within the safety tolerance standard range for low-intensity PBM effects in the eye.

[0060] Figure 2 This is a flowchart illustrating a control method for an ophthalmic photobiological modulation device according to another exemplary embodiment.

[0061] like Figure 2 As shown, it may include: Step 201: Obtain the age of the target object.

[0062] Step 202: Determine the growth and development rate of the target object within the target time period.

[0063] Step 203: Determine the axial length growth rate of the target object during the target time period.

[0064] It should be noted that for a detailed description of steps 201 and 203, please refer to the relevant descriptions in other embodiments, which will not be repeated here.

[0065] Step 204: Determine the target adjustment factor for adjusting the reference power density based on age, growth rate, and axial length growth rate.

[0066] The reference power density refers to the pre-set standard power density reference value.

[0067] It is understandable that, in different application scenarios, the methods for determining the target adjustment coefficient used to adjust the baseline power density differ based on age, growth rate, and axial length growth rate. Examples are illustrated below: As an example, the age range, growth rate range, and axial growth rate range are obtained. Then, the target adjustment coefficient corresponding to the age range, growth rate range, and axial growth rate is obtained from the pre-saved correspondence between the age range, growth rate range, axial growth rate range, and adjustment coefficient.

[0068] As another example, the age factor corresponding to age can be obtained; the growth rate factor corresponding to growth rate can be obtained; the axial length growth factor corresponding to axial length growth rate can be obtained; and the target adjustment coefficient for adjusting the reference power density can be determined based on the product of the age factor, growth rate factor and axial length growth factor.

[0069] As an example, the product of the age factor, growth rate factor, and axial length growth factor can be used as the target adjustment coefficient.

[0070] Among them, the growth rate factor refers to a numerical parameter determined based on the growth rate, which is used to characterize the influence weight of the growth rate on the power density.

[0071] Among them, the age factor is a numerical parameter determined based on age, used to characterize the weight of the influence of age on power density.

[0072] Among them, the axial length growth factor is a numerical parameter determined based on the axial length growth rate, used to characterize the influence weight of the axial length growth rate on power density.

[0073] In some embodiments, one possible way to obtain the age factor corresponding to an age is to: obtain the age range in which the age falls; and obtain the age factor corresponding to the age range. Thus, the age factor corresponding to the age is accurately obtained.

[0074] In some embodiments, the age factor corresponding to an age range can be obtained from a pre-saved correspondence between age ranges and ages.

[0075] In some embodiments, one possible way to obtain the growth rate factor corresponding to the growth rate is to: obtain the average growth rate corresponding to the age; and determine the growth rate factor corresponding to the growth rate based on the ratio of the growth rate to the average growth rate. Thus, by combining the growth rate and the average growth rate, the growth rate factor is accurately determined.

[0076] In other embodiments, another possible way to obtain the growth rate factor corresponding to the growth rate is to obtain the growth rate interval in which the growth rate is located, and obtain the growth rate factor corresponding to the growth rate interval.

[0077] In some embodiments, the growth rate factor corresponding to the growth rate range can be obtained based on the pre-saved correspondence between the generation rate range and the growth rate factor.

[0078] In some embodiments, one possible way to obtain the axial growth factor corresponding to the axial growth rate is to: obtain the axial growth rate interval in which the axial growth rate is located; and obtain the axial growth factor corresponding to the axial growth rate interval.

[0079] In some embodiments, the axial growth factor corresponding to the axial growth rate range can be obtained based on the pre-saved correspondence between the axial growth rate range and the axial growth factor.

[0080] In other embodiments, another possible way to obtain the axial growth factor corresponding to the axial growth rate is to obtain the average axial growth rate corresponding to the age, and determine the axial growth factor corresponding to the axial growth rate based on the ratio of the axial growth rate to the average axial growth rate.

[0081] In other embodiments, to further improve the accuracy of control and make the target power density used match the actual needs of the target object, thereby obtaining a better photobiological regulation effect, before determining the target adjustment coefficient for adjusting the reference power density based on the product of the age factor, growth rate factor, and axial length growth factor, if the growth rate of the target object in the target time period is greater than zero, the target season to which the current time belongs can be determined based on the current location of the target object; if the target season is spring, a preset percentage is added to the growth rate factor.

[0082] The preset percentage is a pre-set percentage, such as 10% or 8%, and this embodiment does not specifically limit it.

[0083] Step 205: Adjust the reference power density according to the target adjustment coefficient to obtain the target power density.

[0084] In some embodiments, the target adjustment factor can be multiplied by the reference optical power to obtain the target power density.

[0085] Step 206: Determine whether the target power density is less than or equal to the preset power density threshold. If yes, proceed to step 207; otherwise, proceed to step 208.

[0086] Step 207: Generate a first target light spot with a power density reaching the target power density, and control the duration of the first target light spot to a first duration.

[0087] In this embodiment, the first target light spot can be a ring-shaped light spot.

[0088] The first duration can be a preset duration in the ophthalmic photobiological modulation device, for example, the first duration can be 3 minutes.

[0089] Step 208: Generate a second target light spot with a power density reaching a preset power density threshold, and control the duration of the second target light spot to a second duration, wherein the second duration is greater than the first duration.

[0090] In this embodiment, the second target light spot can be a ring-shaped light spot.

[0091] The second duration can be a preset duration in the ophthalmic photobiological modulation device, for example, the second duration can be 3.5 minutes.

[0092] In this embodiment, the target adjustment coefficient for adjusting the reference power density is determined by combining the target object's age, the target object's growth and development rate during the target time period, and the axial length growth rate. The reference power density is then adjusted using the target adjustment coefficient, thereby accurately obtaining the target power density for the target object.

[0093] Based on the above embodiments, in order to remind users of the target group to have timely follow-up examinations, a first reminder message can be output when the axial length growth rate is greater than or equal to a first speed threshold, or when the growth and development rate is greater than or equal to a second speed threshold. This first reminder message prompts users to have their eyes checked every N months. In other embodiments, a second reminder message can be output when the axial length growth rate is less than the first speed threshold, or when the growth and development rate is less than the second speed threshold. This second reminder message prompts users to have their eyes checked every M months, where N is less than M.

[0094] N and M are preset values ​​in the ophthalmic photobiological modulation device. For example, N can be 2 and M can be 3. This embodiment does not specifically limit these values.

[0095] Figure 3 This is a schematic diagram of the structure of a control device for an ophthalmic photobiological modulation device according to an exemplary embodiment.

[0096] like Figure 3 As shown, the control device 300 of the ophthalmic photobiological modulation device may include: an acquisition module 301, a first determination module 302, a second determination module 303, a third determination module 304, and a generation module 305, wherein: The acquisition module 301 is used to obtain the age of the target object.

[0097] The first determining module 302 is used to determine the growth and development rate of the target object within the target time period.

[0098] The second determining module 303 is used to determine the axial length growth rate of the target object during the target time period.

[0099] The third determining module 304 is used to determine the target power density for the target object based on age, growth and development rate and axial length growth rate.

[0100] The generation module 305 is used to generate a first target light spot with a power density that reaches the target power density.

[0101] In one embodiment of this disclosure, the first determining module 302 is specifically used to: acquire physiological development data of the target object at multiple first time points, wherein the first time points are within a target time period; and determine the growth and development rate of the target object in the target time period based on the physiological development data of the target object at multiple first time points.

[0102] In one embodiment of this disclosure, the first determining module 302 is specifically used to: splice together the physiological development data of the target object at multiple first time points to obtain target spliced ​​data; and input the target spliced ​​data into a trained growth and development rate prediction model to obtain the growth and development rate of the target object in the target time period.

[0103] In one embodiment of this disclosure, the second determining module 303 is specifically used to: acquire fundus images of the target object at multiple second time points, wherein the second time points are within a target time period; determine the axial length of the target object at each of the multiple second time points based on the fundus images of the target object at each of the multiple second time points; and determine the axial growth rate of the target object in the target time period based on the axial length of the target object at each of the multiple second time points.

[0104] In one embodiment of this disclosure, the third determining module 304 is specifically used for: obtaining the average growth rate and average axial length growth rate corresponding to the age; determining the growth deviation of the target object based on the average growth rate and growth rate; determining the axial length growth deviation of the target object based on the average axial length growth rate and axial length growth rate; and determining the target power density for the target object based on the growth deviation and axial length growth deviation.

[0105] In one embodiment of this disclosure, the third determining module 304 is specifically used to: determine the myopia development risk index value of the target object based on the growth and development deviation and the axial length growth deviation; and determine the target power density for the target object based on the myopia development risk index value.

[0106] In one embodiment of this disclosure, the third determining module 304 includes: a determining unit, configured to determine a target adjustment coefficient for adjusting the reference power density based on age, growth rate and axial length growth rate; and an adjusting unit, configured to adjust the reference power density according to the target adjustment coefficient to obtain the target power density.

[0107] In one embodiment of this disclosure, the determining unit is specifically configured to: obtain an age factor corresponding to age; obtain a growth rate factor corresponding to growth rate; obtain an axial length growth factor corresponding to axial length growth rate; and determine a target adjustment coefficient for adjusting the reference power density based on the product of the age factor, the growth rate factor, and the axial length growth factor.

[0108] In one embodiment of this disclosure, the determining unit is specifically used for: obtaining the age range in which the age falls; and obtaining the age factor corresponding to the age range.

[0109] In one embodiment of this disclosure, the determining unit is specifically used for: obtaining the average growth rate corresponding to an age; and determining the growth rate factor corresponding to the growth rate based on the ratio of the growth rate to the average growth rate.

[0110] In one embodiment of this disclosure, the determining unit is specifically used for: obtaining the axial growth rate interval in which the axial growth rate is located; and obtaining the axial growth factor corresponding to the axial growth rate interval.

[0111] In one embodiment of this disclosure, the device may further include: a determination module, configured to determine whether the target power density is less than or equal to a preset power density threshold; Specifically, the generation module 305 is used to generate a first target light spot with a power density that reaches the target power density when the target power density is less than or equal to a preset power density threshold.

[0112] In one embodiment of this disclosure, the duration of the first target light spot is a first duration, and the device further includes: The processing module is used to generate a second target light spot with a power density reaching the preset power density threshold when the target power density is greater than the preset power density threshold, and to control the duration of the second target light spot to a second duration, wherein the second duration is greater than the first duration.

[0113] It should be noted that the foregoing description of the control method embodiment for ophthalmic photobiological modulation device also applies to the control device of the ophthalmic photobiological modulation device in this embodiment, and will not be repeated here.

[0114] The control device for an ophthalmic photobiological modulation device provided in this embodiment acquires the age of the target subject; determines the growth rate and axial length growth rate of the target subject during a target time period; determines the target power density for the target subject based on the age, growth rate, and axial length growth rate; and generates a first target light spot with a power density reaching the target power density. Thus, by combining the age of the target subject with its growth rate and axial length growth rate during the target time period, a target power density usable by the target subject is determined, and a first target light spot with a power density reaching the target power density is generated. This ensures that the power density of the light spot used by the ophthalmic photobiological modulation device matches the actual situation of the target subject, helping to improve the intervention effect of the ophthalmic photobiological modulation device.

[0115] According to an embodiment of this disclosure, an ophthalmic photobiological modulation device is also provided, comprising: a processor; the processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the control method of the ophthalmic photobiological modulation device disclosed in this disclosure.

[0116] To implement the above embodiments, this disclosure also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the control method for the ophthalmic photobiological modulation device disclosed in this disclosure.

[0117] To implement the above embodiments, this disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the control method for the ophthalmic photobiological modulation device disclosed in this disclosure.

[0118] Figure 4 This is a structural block diagram illustrating an ophthalmic photobiological modulation device according to an exemplary embodiment. Figure 4 The ophthalmic photobiological modulation device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0119] like Figure 4As shown, the ophthalmic photobiological modulation device 1000 includes a processor 111, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 112 or a program loaded from memory 116 into random access memory (RAM) 113. The RAM 113 also stores various programs and data required for the operation of the ophthalmic photobiological modulation device 1000. The processor 111, ROM 112, and RAM 113 are interconnected via a bus 114. An input / output (I / O) interface 115 is also connected to the bus 114.

[0120] The following components are connected to I / O interface 115: memory 116 including hard disks, etc.; and communication section 117 including network interface cards such as local area network (LAN) cards, modems, etc., communication section 117 performs communication processing via a network such as the Internet; and driver 118 is also connected to I / O interface 115 as needed.

[0121] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 117. When the computer program is executed by processor 111, it performs the functions defined in the methods of this disclosure.

[0122] In an exemplary embodiment, a storage medium including instructions is also provided, such as a memory including instructions, which can be executed by the processor 111 of the ophthalmic photobiological modulation device 1000 to perform the above-described method. Optionally, the storage medium can be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0123] In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transfer a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wireline, optical fiber, RF, etc., or any suitable combination thereof.

[0124] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0125] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A control method for an ophthalmic photobiological modulation device, characterized in that, The method, applied to ophthalmic photobiological modulation devices, includes: Get the age of the target object; Determine the growth and development rate of the target object within the target time period; Determine the axial length growth rate of the target object during the target time period; The target power density for the target object is determined based on the age, the growth and development rate, and the axial length growth rate. Generate a first target light spot with a power density that reaches the target power density.

2. The method as described in claim 1, characterized in that, Determining the growth and development rate of the target object within the target time period includes: Obtain physiological development data of the target object at multiple first time points, wherein the first time points are within the target time period; Based on the physiological development data of the target object at multiple first time points, the growth and development rate of the target object in the target time period is determined.

3. The method as described in claim 2, characterized in that, The step of determining the growth and development rate of the target object in the target time period based on the physiological development data of the target object at multiple first time points includes: The physiological development data of the target object at multiple first time points are spliced ​​together to obtain the target spliced ​​data; The target spliced ​​data is input into a trained growth and development rate prediction model to obtain the growth and development rate of the target object during the target time period.

4. The method as described in claim 1, characterized in that, Determining the axial length growth rate of the target object during the target time period includes: Obtain fundus images of the target object at multiple second time points, wherein the second time points are within the target time period; Based on the fundus images of the target object at multiple second time points, determine the axial length of the target object at each of the multiple second time points; The axial length growth rate of the target object during the target time period is determined based on the axial length of the target object at each of the multiple second time points.

5. The method as described in claim 1, characterized in that, Determining the target power density for the target object based on the age, growth rate, and axial length growth rate includes: Obtain the average growth rate and average axial length growth rate corresponding to the given age; The growth and development deviation of the target object is determined based on the average growth and development rate and the growth and development rate. The deviation of the axial length growth of the target object is determined based on the average axial length growth rate and the axial length growth rate. The target power density for the target object is determined based on the growth and development deviation and the axial length growth deviation.

6. The method as described in claim 5, characterized in that, The step of determining the target power density for the target object based on the growth and development deviation and the axial length growth deviation includes: Based on the growth and development deviation and the axial length growth deviation, the myopia development risk index value of the target object is determined; Based on the myopia development risk index value, the target power density for the target object is determined.

7. The method as described in claim 1, characterized in that, Determining the target power density for the target object based on the age, growth rate, and axial length growth rate includes: Based on the age, the growth and development rate, and the axial length growth rate, a target adjustment factor for adjusting the reference power density is determined; The reference power density is adjusted according to the target adjustment coefficient to obtain the target power density.

8. The method as described in claim 7, characterized in that, The step of determining the target adjustment coefficient for adjusting the reference power density based on the age, the growth and development rate, and the axial length growth rate includes: Obtain the age factor corresponding to the given age; Obtain the growth rate factor corresponding to the growth rate. Obtain the axial length growth factor corresponding to the axial length growth rate; The target adjustment coefficient for adjusting the reference power density is determined based on the product of the age factor, the growth rate factor, and the axial length growth factor.

9. The method as described in claim 8, characterized in that, The step of obtaining the age factor corresponding to the age includes: Obtain the age range in which the stated age falls; Obtain the age factor corresponding to the age range.

10. The method as described in claim 8, characterized in that, The step of obtaining the growth rate factor corresponding to the growth rate includes: Obtain the average growth and development rate corresponding to the given age; The growth rate factor corresponding to the growth rate is determined based on the ratio of the growth rate to the average growth rate.

11. The method as described in claim 8, characterized in that, The step of obtaining the axial growth factor corresponding to the axial growth rate includes: Obtain the range of axial growth rates in which the axial growth rate is located; Obtain the axial growth factor corresponding to the axial growth rate range.

12. The method according to any one of claims 1-11, characterized in that, Before generating a first target light spot with a power density reaching the target power density, the method further includes: Determine whether the target power density is less than or equal to a preset power density threshold; The generated target light spot with a power density reaching the target power density includes: If the target power density is less than or equal to the preset power density threshold, a first target light spot with a power density reaching the target power density is generated.

13. The method as described in claim 12, characterized in that, The duration of the first target light spot is a first duration, and the method further includes: When the target power density is greater than the preset power density threshold, a second target light spot with a power density reaching the preset power density threshold is generated, and the duration of the second target light spot is controlled to be a second duration, wherein the second duration is greater than the first duration.

14. An ophthalmic photobiological modulation device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-13.

15. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-13.

16. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1-13.

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