Data analysis method and system for comprehensive therapeutic apparatus for myopia and amblyopia

Abstract

The invention relates to the technical field of data analysis, in particular to a data analysis method and system for a comprehensive therapeutic instrument for myopia and amblyopia. The method comprises the following steps: acquiring eye data of a patient before treatment, determining preliminary light information before treatment according to the eye data of the patient, and sending the preliminary light information to a comprehensive therapeutic apparatus, so that the comprehensive therapeutic apparatus performs treatment; acquiring a real-time eye image during treatment, and determining a real-time eye state of the patient according to the real-time eye image; according to the initial light information and the real-time eye state, treatment light information is determined, and the treatment light information is sent to a comprehensive treatment instrument to be executed so that the comprehensive treatment instrument can conduct treatment. By analyzing the real-time state of the eyes of the patient, an accurate and reasonable reference basis is provided for determination of the treatment light information, the patient is treated according to the treatment light information, and the treatment accuracy and effectiveness are ensured.

Description

Technical Field

[0001] The present application relates to the technical field of data analysis, and in particular to a data analysis method and system for a comprehensive myopia and amblyopia treatment device. Background Art

[0002] As people's living standards continue to improve, people's eye problems are becoming more and more prominent. Irregular eye habits can easily lead to myopia and amblyopia problems. The myopia and amblyopia comprehensive treatment device can effectively solve people's myopia and amblyopia problems. The comprehensive treatment device treats the patient's eyes by emitting light during treatment, which can effectively avoid the treatment not achieving the expected effect due to the patient's improper control of the eyes.

[0003] However, during the process of the comprehensive therapeutic device treating the patient, the complex condition of the patient's eyes may cause the light emitted by the comprehensive therapeutic device to be unable to provide timely and effective treatment to the patient's eyes, thereby causing the therapeutic device to be unable to meet the patient's treatment needs. Summary of the invention

[0004] The present application provides a data analysis method and system for a comprehensive myopia and amblyopia treatment device to solve the above-mentioned problems.

[0005] In a first aspect, the present application provides a data analysis method for a comprehensive myopia and amblyopia treatment device, the method comprising: Acquiring the patient's eye data before treatment, determining preliminary light information before treatment based on the patient's eye data, and sending the preliminary light information to the comprehensive treatment instrument so that the comprehensive treatment instrument performs treatment; Acquire a real-time eye image during treatment, and determine the real-time eye status of the patient based on the real-time eye image; The therapeutic light information is determined based on the preliminary light information and the real-time eye status, and the therapeutic light information is sent to the comprehensive therapeutic instrument for execution, so that the comprehensive therapeutic instrument performs treatment.

[0006] Through the above technical solution, by comprehensively collecting and analyzing the patient's eye data before treatment, the preliminary light information that meets the patient's individual situation is accurately set, ensuring the personalization and scientific nature of the treatment plan. During the treatment, the patient's real-time eye image is captured and analyzed in real time, and the eye status is dynamically monitored, so that the treatment process can flexibly respond to eye changes and ensure the accuracy and effectiveness of the treatment. Based on the dual considerations of preliminary light information and real-time eye status, the treatment light information is further fine-tuned to enhance the adaptability and flexibility of the treatment. Sending the treatment light information to the comprehensive treatment instrument for execution ensures the accurate implementation of the treatment plan and the continuous optimization of the treatment effect, bringing patients a more efficient, comfortable and personalized treatment experience.

[0007] Optionally, determining the real-time eye state of the patient according to the real-time eye image includes: Determine the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the treatment device according to the real-time eye image; Determining preliminary light intensity and preliminary light wavelength according to the preliminary light information; Determining a scattering change of the preliminary light according to the real-time treatment distance, the preliminary light intensity, and the preliminary light wavelength; determining, based on the real-time eye image, whether the scattering change of the preliminary light affects treatment; If the scattering change of the preliminary light affects the treatment, determining the position of the preliminary reflection point according to the patient's eye data; The patient's eye movement distance is determined based on the preliminary reflection point position and the real-time reflection point position, and the real-time eye state is determined based on the eye movement distance and the real-time eye image.

[0008] Through the above technical solution, by analyzing the real-time eye image, the position of the reflective point of the patient's eye is determined, and the real-time treatment distance between the eye and the therapeutic device is measured, providing key data for subsequent light adjustment. Based on the preliminary light information, the intensity and wavelength of the light are determined to provide a basis for determining a personalized treatment plan. The scattering changes of the preliminary light are calculated to evaluate the attenuation and diffusion of the light before reaching the eye. Further, the real-time eye image is used to determine whether the scattering changes will affect the treatment. If it affects the treatment, the position of the preliminary reflective point is re-determined according to the patient's eye data. This is a dynamic adjustment process designed to ensure that the light is always focused on the correct treatment area. By comparing the preliminary reflective point position and the real-time reflective point position, the patient's eye movement distance is calculated. Not only is the accuracy of the treatment improved, but the flexibility and adaptability of the treatment are also enhanced, ensuring the safety and effectiveness of the treatment process.

[0009] Optionally, determining the real-time reflection point position of the patient's eye and the treatment distance between the eye and the therapeutic device according to the real-time eye image includes: Determine the real-time eyeball area and the real-time eyelid area according to the real-time eye image; Determining the real-time eye closure degree according to the real-time eyeball area and the real-time eyelid area; determining an eye closure area according to the real-time eye closure degree and the real-time eye image; Determining the irradiation area of ​​the eye by the preliminary light according to the preliminary light information and the eye closure area; Determining the real-time reflection point position according to the preliminary light information and the irradiated area; The treatment distance is determined according to the real-time reflection point position and the preliminary light information.

[0010] Through the above technical solution, the real-time area of ​​the eyeball and eyelid is accurately calculated through real-time eye images, so as to quickly evaluate the degree of eye closure. Based on the degree of eye closure and image details, the eye closure area is accurately defined to provide a basis for the analysis of the light irradiation effect. Combined with the preliminary light information and the eye closure area, the effective area where the light actually irradiates the eye is scientifically predicted to ensure the accuracy of treatment. By analyzing the interaction between the preliminary light and the irradiation area, the real-time reflective point position is accurately locked. Based on the reflective point position and the preliminary light characteristics, the optimal treatment distance is dynamically determined, the light transmission path is optimized, the treatment effect is improved, and the safety and effectiveness of the treatment process are ensured.

[0011] Optionally, determining the real-time reflection point position according to the preliminary light information, the irradiated area and the eye closure area includes: Obtaining the position of a light source of the comprehensive therapeutic apparatus, and determining the distance between the light source and the eye according to the position of the light source and the real-time eye image; Determining the shape and volume of the eyeball according to the patient's eye data; Determining the intensity of the light reflection point of the eyeball according to the distance between the light source and the eye, the shape of the eyeball and the volume of the eyeball; Determining an eye irradiation ratio according to the irradiation area and the eye closure area; The real-time position of the reflection point is determined according to the real-time eye image, the intensity of the reflection point and the eye illumination ratio.

[0012] Through the above technical solution, by accurately obtaining the light source position of the comprehensive treatment instrument and combining it with the real-time eye image, the precise distance between the light source and the eye can be quickly calculated, laying a solid foundation for subsequent light analysis. Based on the patient's eye data, the shape and volume of the eyeball are carefully depicted to ensure a deep understanding of the optical characteristics of the eyeball. The intensity of the eye's reflective points is scientifically evaluated based on the distance of the light source, the shape and volume of the eyeball, and the intensity distribution of the interaction between light and the eyeball is foreseen. Combining the irradiated area with the closed area of ​​the eye, the effective irradiation ratio of the eye is accurately calculated, and the actual area of ​​action of the light on the eye is quantified. Based on the real-time eye image, the intensity of the reflective point and the irradiation ratio, the real-time reflective point position is accurately located to achieve precise navigation and regulation of light therapy, ensuring the efficiency and safety of the treatment process.

[0013] Optionally, determining the real-time position of the light reflecting point according to the light reflecting point intensity and the eye illumination ratio includes: Analyze the real-time eye image, determine the eye contours of both eyes and the eyelid heights of both eyes, and compare the eye contours of both eyes and the eyelid heights of both eyes; If the eye contours of the two eyes and the eyelid heights of the two eyes are inconsistent, dividing the real-time eye image to obtain images of various eye regions; Analyzing the images of each area of ​​the eye, determining the colors of each area of ​​the eye, and comparing the colors of each area of ​​the eye to obtain an image of an abnormal color area; The real-time position of the reflection point is determined according to the color abnormality area image, the reflection point intensity and the eye illumination ratio.

[0014] Through the above technical solution, the eye contours and eyelid heights of both eyes are accurately outlined through detailed analysis of real-time eye images, and compared with each other to identify any potential binocular asymmetry. Once inconsistency is found between the two eyes, the real-time eye image is carefully divided, and the image of each area is analyzed independently to accurately capture the color characteristics of each area of ​​the eye. By comparing the colors of each area, the color abnormality areas are quickly locked, and these areas are often closely related to the health of the eyes. Combining multiple information such as the image of the abnormal color area, the intensity of the reflective point, and the proportion of eye irradiation, the position of the real-time reflective point is accurately calculated, providing strong support for subsequent precision treatment and ensuring the targeted and effective treatment process.

[0015] Optionally, determining the real-time position of the light reflecting point according to the color abnormal area image, the light reflecting point intensity and the eye illumination ratio includes: According to the color abnormality region image, marking the color abnormality region image to obtain an abnormal region marking image; Determining the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image; Determine a normal eye region image according to the real-time eye image, mark the normal eye region image, and obtain a normal region marked image; According to the normal region marked image, obtaining the contrast of the normal region marked image and the normal region color distribution; Comparing the contrast and the color distribution of the abnormal area marked image with the contrast and the color distribution of the normal area marked image, if the contrast and the color distribution of the abnormal area marked image are inconsistent with the contrast and the color distribution of the normal area marked image, obtaining the hand contour and the eye contour according to the real-time eye image; According to the hand contour and the eye contour, determining whether the hand contour overlaps with the eye contour; If the hand contour overlaps with the eye contour, determining an overlapping area according to the hand contour and the eye contour; Acquire a real-time eye video frame, and determine the hand occlusion time and the hand occlusion degree according to the real-time eye video frame and the overlapping area; The real-time position of the light reflecting point is determined according to the hand covering time, the hand covering degree, the light reflecting point intensity and the eye illumination ratio.

[0016] Through the above technical solution, by marking the abnormal color area and comparing it with the contrast and color distribution of the normal eye area, the eye health condition can be accurately identified, providing a scientific basis for treatment. At the same time, the overlap analysis of the eye and hand contours is used to evaluate the potential occlusion effect of the hand on the eye, including the occlusion time and degree. Combined with the real-time video frame analysis of the eye, the relative position relationship between the hand and the eye is dynamically monitored to ensure that the treatment light can reach the target area accurately and unobstructed. On this basis, multiple factors such as hand occlusion, reflective point intensity and eye irradiation ratio are comprehensively considered to accurately calculate the real-time reflective point position, realize the refined regulation of the treatment process, and improve the treatment effect and patient comfort.

[0017] Optionally, determining the real-time position of the light reflecting point according to the hand covering time, the hand covering degree, the light reflecting point intensity and the eye illumination ratio includes: Obtaining sclera color and sclera transparency according to the real-time eye image; Analyze the real-time eye image to determine the eyelid shape and eyelid opening degree of both eyes; Determining the degree of eyelid abnormality according to the eyelid shapes of both eyes and the degree of eyelid opening and closing; Determining the degree of eye inflammation according to the degree of eyelid abnormality, the color of the sclera, and the transparency of the sclera; Determining the visual sensitivity of the eye according to the intensity of the reflective point and the eye illumination ratio; The real-time position of the reflection point is determined according to the hand occlusion degree, the hand occlusion time, the eye inflammation degree and the visual sensitivity.

[0018] Through the above technical solution, through in-depth analysis of real-time eye images, key information such as sclera color, transparency and eyelid shape can be accurately extracted to comprehensively evaluate eye health. Based on the degree and shape of eyelid opening and closing, the degree of eyelid abnormality is quantified, and combined with the characteristics of the sclera, the severity of eye inflammation can be accurately judged. At the same time, the intensity of the reflective point and the ratio of eye irradiation are considered to evaluate the visual sensitivity of the eye and provide personalized parameters for treatment. Integrate real-time monitoring of hand occlusion, including the degree and time of occlusion, and comprehensively evaluate its impact on the treatment light. Finally, the real-time reflective point position is accurately calculated to ensure the accuracy and efficiency of the treatment process, while taking into account the comfort and safety of the patient.

[0019] Optionally, determining the treatment light information according to the preliminary light information and the real-time eye state includes: Determining the light irradiation angle according to the hand covering time and the hand covering degree; Determining a light irradiation distance and a light irradiation mode according to the real-time eye state, the sclera color, and the sclera transparency; According to the real-time reflection point position, the preliminary light information is adjusted to obtain the real-time light intensity and the real-time light wavelength; The light irradiation angle, the light irradiation distance, the light irradiation mode, the real-time light intensity and the real-time light wavelength are determined as the therapeutic light information.

[0020] Through the above technical solution, by comprehensively considering the time and degree of hand occlusion, the light irradiation angle can be flexibly adjusted to ensure that the therapeutic light can avoid the occluded area and effectively act on the eye. At the same time, based on key information such as real-time eye status, sclera color and transparency, the light irradiation distance and mode are accurately set to match the patient's personalized needs. According to the precise feedback of the real-time reflective point position, the preliminary light information is carefully adjusted to optimize the real-time light intensity and wavelength to ensure that the therapeutic light is both safe and efficient. Integrating all parameters to form complete therapeutic light information provides a solid guarantee for subsequent precision treatment and maximizes the treatment effect.

[0021] Optionally, determining the light irradiation distance and the light irradiation mode according to the real-time eye state, the sclera color, and the sclera transparency includes: Determine the real-time blinking frequency and eye movement trajectory according to the real-time eye state and the real-time eye image; Determining a scleral transparency grade according to the scleral transparency; Determining the light irradiation distance according to the sclera color and the sclera transparency level; The light irradiation mode is determined according to the real-time blinking frequency and the eye movement trajectory.

[0022] Through the above technical solution, the blinking frequency and eye movement trajectory are accurately captured by real-time analysis of eye status and images, providing a basis for the dynamic adjustment of light irradiation. At the same time, the sclera transparency is graded and the light irradiation distance is scientifically set in combination with the sclera color to ensure that the light can penetrate to the appropriate depth and achieve the best treatment effect. Furthermore, according to the real-time changes in the blinking frequency and eye movement trajectory, the light irradiation mode is flexibly adjusted so that the light can closely follow the eye movement and maintain continuous and effective irradiation of the treatment area, which not only improves the personalization and comfort of the treatment, but also ensures the stability and reliability of the treatment effect.

[0023] In a second aspect, the present application provides a data analysis system for a comprehensive myopia and amblyopia treatment device, the system comprising: A preliminary information determination module, used to obtain the patient's eye data before treatment, determine preliminary light information before treatment based on the patient's eye data, and treat the patient based on the preliminary light information; A real-time state determination module, used to obtain a real-time eye image during treatment, and determine the patient's real-time eye state based on the real-time eye image; The treatment information determination module is used to determine the treatment light information according to the preliminary light information and the real-time eye status, and send the treatment light information to the comprehensive treatment instrument for execution, so that the comprehensive treatment instrument performs treatment.

[0024] Optionally, the real-time status determination module is specifically used to: Determine the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the treatment device according to the real-time eye image; Determining preliminary light intensity and preliminary light wavelength according to the preliminary light information; Determining a scattering change of the preliminary light according to the real-time treatment distance, the preliminary light intensity, and the preliminary light wavelength; determining, based on the real-time eye image, whether the scattering change of the preliminary light affects treatment; If the scattering change of the preliminary light affects the treatment, determining the position of the preliminary reflection point according to the patient's eye data; The patient's eye movement distance is determined based on the preliminary reflection point position and the real-time reflection point position, and the real-time eye state is determined based on the eye movement distance and the real-time eye image.

[0025] Optionally, the real-time status determination module is specifically used to: Determine the real-time eyeball area and the real-time eyelid area according to the real-time eye image; Determining the real-time eye closure degree according to the real-time eyeball area and the real-time eyelid area; determining an eye closure area according to the real-time eye closure degree and the real-time eye image; Determining the irradiation area of ​​the eye by the preliminary light according to the preliminary light information and the eye closure area; Determining the real-time reflection point position according to the preliminary light information and the irradiated area; The treatment distance is determined according to the real-time reflection point position and the preliminary light information.

[0026] Optionally, the real-time status determination module is specifically used to: Obtaining the position of a light source of the comprehensive therapeutic apparatus, and determining the distance between the light source and the eye according to the position of the light source and the real-time eye image; Determining the shape and volume of the eyeball according to the patient's eye data; Determining the intensity of the light reflection point of the eyeball according to the distance between the light source and the eye, the shape of the eyeball and the volume of the eyeball; Determining an eye irradiation ratio according to the irradiation area and the eye closure area; The real-time position of the reflection point is determined according to the real-time eye image, the intensity of the reflection point and the eye illumination ratio.

[0027] Optionally, the real-time status determination module is specifically used to: Analyze the real-time eye image, determine the eye contours of both eyes and the eyelid heights of both eyes, and compare the eye contours of both eyes and the eyelid heights of both eyes; If the eye contours of the two eyes and the eyelid heights of the two eyes are inconsistent, dividing the real-time eye image to obtain images of various eye regions; Analyzing the images of each area of ​​the eye, determining the colors of each area of ​​the eye, and comparing the colors of each area of ​​the eye to obtain an image of an abnormal color area; The real-time position of the reflection point is determined according to the color abnormality area image, the reflection point intensity and the eye illumination ratio.

[0028] Optionally, the real-time status determination module is specifically used to: According to the color abnormality region image, marking the color abnormality region image to obtain an abnormal region marking image; Determining the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image; Determine a normal eye region image according to the real-time eye image, mark the normal eye region image, and obtain a normal region marked image; According to the normal region marked image, obtaining the contrast of the normal region marked image and the normal region color distribution; Comparing the contrast and the color distribution of the abnormal area marked image with the contrast and the color distribution of the normal area marked image, if the contrast and the color distribution of the abnormal area marked image are inconsistent with the contrast and the color distribution of the normal area marked image, obtaining the hand contour and the eye contour according to the real-time eye image; According to the hand contour and the eye contour, determining whether the hand contour overlaps with the eye contour; If the hand contour overlaps with the eye contour, determining an overlapping area according to the hand contour and the eye contour; Acquire a real-time eye video frame, and determine the hand occlusion time and the hand occlusion degree according to the real-time eye video frame and the overlapping area; The real-time position of the light reflecting point is determined according to the hand covering time, the hand covering degree, the light reflecting point intensity and the eye illumination ratio.

[0029] Optionally, the real-time status determination module is specifically used to: Obtaining sclera color and sclera transparency according to the real-time eye image; Analyze the real-time eye image to determine the eyelid shape and eyelid opening degree of both eyes; Determining the degree of eyelid abnormality according to the eyelid shapes of both eyes and the degree of eyelid opening and closing; Determining the degree of eye inflammation according to the degree of eyelid abnormality, the color of the sclera, and the transparency of the sclera; Determining the visual sensitivity of the eye according to the intensity of the reflective point and the eye illumination ratio; The real-time position of the reflection point is determined according to the hand occlusion degree, the hand occlusion time, the eye inflammation degree and the visual sensitivity.

[0030] Optionally, the real-time status determination module is specifically used to: Determining the light irradiation angle according to the hand covering time and the hand covering degree; Determining a light irradiation distance and a light irradiation mode according to the real-time eye state, the sclera color, and the sclera transparency; According to the real-time reflection point position, the preliminary light information is adjusted to obtain the real-time light intensity and the real-time light wavelength; The light irradiation angle, the light irradiation distance, the light irradiation mode, the real-time light intensity and the real-time light wavelength are determined as the therapeutic light information.

[0031] Optionally, the real-time status determination module is specifically used to: Determine the real-time blinking frequency and eye movement trajectory according to the real-time eye state and the real-time eye image; Determining a scleral transparency grade according to the scleral transparency; Determining the light irradiation distance according to the sclera color and the sclera transparency level; The light irradiation mode is determined according to the real-time blinking frequency and the eye movement trajectory. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0033] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flow chart of a data analysis method for a myopia and amblyopia comprehensive treatment device provided in one embodiment of the present application; Figure 3 A structural schematic diagram of a data analysis system for a comprehensive myopia and amblyopia treatment device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0036] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0037] During the treatment of the patient by the comprehensive therapeutic device, the complex condition of the patient's eyes (such as eye movement, eye swelling and eye inflammation, etc.) will make the light emitted by the comprehensive therapeutic device unable to provide timely and effective treatment to the patient's eyes, resulting in the therapeutic device being unable to meet the patient's treatment needs.

[0038] Based on this, the present application provides a data analysis method and system for a comprehensive therapeutic device for myopia and amblyopia. By obtaining the patient's eye data before treatment, personalized basic data is provided for subsequent treatment, so that the treatment plan is more in line with the patient's specific needs. By analyzing the eye data and determining the preliminary light information before treatment, it is helpful to formulate an effective treatment plan. By sending the preliminary light information directly to the therapeutic device, the treatment process is automated and human intervention is reduced. By obtaining real-time eye images during treatment, the real-time state of the patient's eyes can be understood in a timely manner, and the treatment plan can be adjusted according to the real-time state of the patient's eyes to ensure the maximization of the treatment effect. The preliminary light information and the real-time eye state are combined to dynamically adjust the preliminary light information to ensure that it effectively acts on the patient's eyes and improves the accuracy of the treatment. Sending the treatment light information to the comprehensive therapeutic device for execution helps to improve the overall treatment efficiency.

[0039] Figure 1 This is a schematic diagram of an application scenario provided by the present application. When using a myopia and amblyopia comprehensive treatment device to treat a patient, the method provided by the present application is applied to obtain the patient's eye data to determine the preliminary light information before treatment. The real-time eye state is determined by the real-time eye image during treatment, and the treatment light information is determined based on the real-time eye state and the preliminary light information. The treatment light information is sent to the myopia and amblyopia comprehensive treatment device.

[0040] Specifically, the method provided in this application is applied to any server, and the server interacts with the comprehensive treatment instrument and the eye monitoring device. The server obtains and analyzes the eye monitoring information of the eye monitoring device to determine the treatment light information of the eye, and sends the treatment light information to the myopia and amblyopia comprehensive treatment instrument. During the treatment process, the patient's real-time eye image is obtained and analyzed in real time, the eye state is dynamically evaluated, and the treatment light information is adjusted according to these real-time data, realizing the refined management and immediate optimization of the treatment process, which not only ensures the continuity and stability of the treatment effect, but also improves the patient's comfort and satisfaction.

[0041] For specific implementation methods, please refer to the following embodiments.

[0042] Figure 2 This is a flow chart of a data analysis method for a myopia and amblyopia comprehensive treatment device provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes: S201. Obtain the patient's eye data before treatment, determine preliminary light information before treatment based on the patient's eye data, and send the preliminary light information to the comprehensive treatment apparatus so that the comprehensive treatment apparatus performs treatment.

[0043] During the treatment process, the patient's eye status changes in real time. If the treatment light information is determined based on the patient's eye status during treatment, it will increase the time to determine the treatment light information to a certain extent, thereby affecting the effectiveness and timeliness of the treatment. Therefore, according to the patient's eye data before treatment, the preliminary treatment light information is determined, and the preliminary treatment light information can be adjusted during treatment, shortening the time to determine the treatment light information and ensuring the effectiveness and timeliness of the treatment.

[0044] The preliminary light information may be information of preliminary treatment light determined according to the patient's eye data, and may include preliminary light intensity and preliminary light wavelength.

[0045] The patient's eye data may be data related to the patient's eyes, and may include an eyeball volume and an eye contour area.

[0046] Specifically, when the patient is receiving treatment, the preliminary treatment light information is determined according to the real-time state of the patient's eyes. This can reduce the time for adjusting the treatment light during the treatment process and synchronize the treatment of the treatment device with the real-time state of the patient's eyes to the greatest extent, ensuring the effectiveness and timeliness of the treatment.

[0047] Obtain the real-time eye image of the patient before treatment from the eye monitoring device. Use the image analysis algorithm to analyze the real-time eye image of the patient before treatment to obtain the eyeball volume and eye contour area of ​​the patient's eye. Determine the initial light intensity and initial light wavelength before treatment based on the eyeball volume and eye contour. Determine the initial light intensity and initial light wavelength before treatment as initial light information. Send the initial light information before treatment to the comprehensive treatment device.

[0048] S202: Acquire a real-time eye image during treatment, and determine the patient's real-time eye status based on the real-time eye image.

[0049] Real-time eye images may be images of the patient's eye while the patient is being treated.

[0050] The real-time eye status may be the state of the patient's eyes during treatment. The real-time eye status may be the degree of eye occlusion and eye swelling.

[0051] Specifically, obtaining the real-time status of the patient's eyes during treatment can provide a reference for determining subsequent treatment light information.

[0052] The real-time eye image of the patient is obtained from the eye monitoring device, and the real-time eye image is analyzed using an image analysis algorithm to obtain the degree of occlusion and swelling of the patient's eyes. The degree of occlusion and swelling of the patient's eyes are determined as the real-time eye status.

[0053] S203. Determine the treatment light information based on the preliminary light information and the real-time eye status, and send the treatment light information to the comprehensive treatment instrument for execution, so that the comprehensive treatment instrument performs treatment.

[0054] The therapeutic light information may be information about the therapeutic light determined after adjusting the preliminary light information according to the patient's real-time eye state. The therapeutic light information may include the intensity of the therapeutic light and the wavelength of the therapeutic light.

[0055] Specifically, the preliminary light information obtained in the above steps is adjusted according to the patient's real-time eye condition to determine the therapeutic light information, which helps to ensure the effectiveness and scientificity of the therapeutic device to the greatest extent.

[0056] According to the real-time eye state obtained in the above steps, the preliminary light intensity and the preliminary light wavelength are adjusted to obtain the therapeutic light intensity and the therapeutic light wavelength. The therapeutic light intensity and the therapeutic light wavelength are determined as the therapeutic light information. The therapeutic light information is sent to the comprehensive therapeutic instrument so that the comprehensive therapeutic instrument can treat the patient's eyes.

[0057] Through the method provided in this embodiment, by comprehensively collecting and analyzing the patient's eye data before treatment, the preliminary light information that meets the patient's individual situation is accurately set, ensuring the personalization and scientific nature of the treatment plan. During the treatment, the patient's real-time eye image is captured and analyzed in real time, and the eye status is dynamically monitored, so that the treatment process can flexibly respond to eye changes and ensure the accuracy and effectiveness of the treatment. Based on the dual considerations of preliminary light information and real-time eye status, the treatment light information is further fine-tuned to enhance the adaptability and flexibility of the treatment. The treatment light information is sent to the comprehensive treatment instrument for execution, ensuring the accurate implementation of the treatment plan and the continuous optimization of the treatment effect, bringing patients a more efficient, comfortable and personalized treatment experience.

[0058] In some embodiments, the real-time reflective point position of the patient's eye and the real-time treatment distance between the eye and the treatment device are determined based on the real-time eye image; the preliminary light intensity and the preliminary light wavelength are determined based on the preliminary light information; the scattering change of the preliminary light is determined based on the real-time treatment distance, the preliminary light intensity and the preliminary light wavelength; based on the real-time eye image, it is judged whether the scattering change of the preliminary light affects the treatment; if the scattering change of the preliminary light affects the treatment, the preliminary reflective point position is determined based on the patient's eye data; the patient's eye movement distance is determined based on the preliminary reflective point position and the real-time reflective point position, and the real-time eye state is determined based on the eye movement distance and the real-time eye image.

[0059] The real-time reflection point position may be the position of the reflection range formed by the patient's eyes reflecting the treatment light when the patient is undergoing treatment.

[0060] The real-time treatment distance may be the distance between the patient's eyes and the position of the patient's eyes at the front end of the treatment device during treatment.

[0061] The preliminary reflection point position may be the position of the reflection range formed by the reflection of the treatment light by the patient's eye, which is determined based on the patient's eye data before the treatment.

[0062] The eye movement distance may be the distance that the patient's eye position moves during treatment compared to the eye position under normal treatment conditions.

[0063] The scattering change of the preliminary light may be a change caused by reflection of the preliminary light by the patient's eye.

[0064] Specifically, when the preliminary light information is adjusted according to the real-time eye state of the patient's eyes, the real-time eye state of the patient is complex and changeable. Therefore, it is necessary to determine the real-time eye state of the patient based on the real-time image and eye data of the patient's eyes, so as to provide a reference for the subsequent adjustment of the preliminary light information.

[0065] Obtain the patient's real-time eye image before treatment from the eye monitoring device, and use the image segmentation algorithm to segment the real-time eye image before treatment to obtain a number of eye area images. Use the image analysis algorithm to analyze the real-time eye images to obtain the brightness of each eye area before treatment. Use the image segmentation algorithm to segment the real-time eye image obtained in the above steps to obtain a number of real-time eye images. Use the image analysis algorithm to analyze the real-time eye images to obtain the real-time brightness of each eye area. Compare the real-time brightness of each eye area with the brightness of each eye area, and determine all areas with real-time brightness greater than the brightness of the eye area as real-time reflection point positions. Use the image analysis algorithm to analyze the real-time eye image to obtain the real-time treatment distance between the eye and the therapeutic device.

[0066] Use a mathematical analysis algorithm to analyze the real-time treatment distance, the intensity of the preliminary light, and the wavelength of the preliminary light to determine the degree of reflection of the preliminary light. The degree of reflection of the preliminary light is determined as the degree of scattering of the preliminary light. Obtain the maximum distance between the patient's eye and the therapeutic device from the relevant website of the manufacturer of the myopia and amblyopia therapeutic device. Compare the maximum distance with the real-time treatment distance. If the maximum distance is less than the real-time treatment distance, it means that the distance between the patient's eye and the therapeutic device is too far, resulting in excessive reflection of the therapeutic light by the patient's eye, that is, the scattering change of the preliminary light affects the treatment of the therapeutic device. At this time, it is necessary to obtain an image around the eye from the eye monitoring device. The image around the eye can be an image within a certain range around the patient's eye contour. Use an image analysis algorithm to analyze the image around the eye to obtain the ambient brightness around the eye.

[0067] The brightness of each eye area before treatment obtained in the above steps is compared with the ambient brightness around the eye to obtain a comparison result. According to the comparison result, the area corresponding to the brightness of each eye area before treatment being greater than the ambient brightness around the eye is determined as the preliminary reflective point position. With the preliminary reflective point position as the origin, a spatial rectangular coordinate system is established, and the real-time reflective point position is marked in the spatial rectangular coordinate system to obtain the coordinates of the real-time reflective point position in the spatial rectangular coordinate system. The coordinates of the real-time reflective point position in the spatial rectangular coordinate system and the origin coordinates of the spatial rectangular coordinate system are analyzed using a mathematical analysis algorithm to obtain the patient's eye movement distance. The real-time eye image is analyzed using an image analysis algorithm to obtain the distance between the patient's eye pupils. The distance between the patient's eye pupils is subtracted from the eye movement distance to obtain a subtraction result, and the subtraction result is taken as the absolute value to obtain the absolute value of the distance. The absolute value of the distance is determined as the eyeball movement distance, and the eyeball movement distance is determined as the real-time eye state.

[0068] Through the method provided in this embodiment, by analyzing the real-time eye image, the position of the reflective point of the patient's eye is determined, and the real-time treatment distance between the eye and the therapeutic device is measured, which provides key data for subsequent light adjustment. Based on the preliminary light information, the intensity and wavelength of the light are determined to provide a basis for determining a personalized treatment plan. The scattering changes of the preliminary light are calculated to evaluate the attenuation and diffusion of the light before reaching the eye. Further, the real-time eye image is used to determine whether the scattering changes will affect the treatment. If the treatment is affected, the position of the preliminary reflective point is re-determined according to the patient's eye data. This is a dynamic adjustment process designed to ensure that the light is always focused on the correct treatment area. By comparing the preliminary reflective point position and the real-time reflective point position, the patient's eye movement distance is calculated. Not only is the accuracy of the treatment improved, but also the flexibility and adaptability of the treatment are enhanced, ensuring the safety and effectiveness of the treatment process.

[0069] In some embodiments, the real-time eyeball area and the real-time eyelid area are determined based on the real-time eye image; the real-time eye closure degree is determined based on the real-time eyeball area and the real-time eyelid area; the eye closure area is determined based on the real-time eye closure degree and the real-time eye image; the preliminary light irradiation area of ​​the eye is determined based on the preliminary light information and the eye closure area; the real-time reflection point position is determined based on the preliminary light information and the irradiation area; the real-time treatment distance is determined based on the real-time reflection point position and the preliminary light information.

[0070] The real-time eye closure level may be a numerical value that measures the eye closure status of a patient while the patient is being treated.

[0071] The real-time eyeball area may be the area of ​​the patient's eyeball surface during treatment.

[0072] The irradiation area may be the area formed by the preliminary light irradiating the patient's eyeball.

[0073] Specifically, when determining the real-time treatment distance, the real-time state of the patient's eyes (such as eyes closed or eyes blocked) and treatment light factors will affect the determination of the real-time treatment distance to a certain extent.

[0074] Therefore, an image analysis algorithm is used to analyze the real-time eye image to obtain the real-time eyeball area and the real-time eyelid area. The real-time eyeball area is divided by the real-time eyelid area to obtain a division result. The division result is determined as the real-time eye closure degree. The real-time eyelid area obtained in the above steps is divided by the real-time eye closure degree to obtain a division value. The division value is determined as the eye closure area. The preliminary light irradiation angle is extracted from the preliminary light information, and the preliminary light irradiation angle, preliminary light wavelength, eye closure area and preliminary light intensity obtained in the above steps are analyzed using a mathematical analysis algorithm to obtain the preliminary light irradiation area of ​​the eye. The preliminary light intensity, preliminary light irradiation angle and preliminary light wavelength obtained in the above steps are analyzed using a mathematical analysis algorithm to obtain the attenuation degree of the preliminary light. The irradiation area image corresponding to the irradiation area is obtained from the real-time eye image. Based on the attenuation degree of the preliminary light obtained in the above steps, the irradiation area image is analyzed using an image analysis algorithm to obtain the real-time reflection point position. Based on the spatial rectangular coordinate system obtained in the above steps, the position of the reflection point is taken as the origin of the spatial rectangular coordinate system, and the real-time eye image is analyzed using an image analysis algorithm to obtain the position of the front of the therapeutic device, and the position of the front of the therapeutic device is marked in the spatial rectangular coordinate system to obtain the coordinates of the front of the therapeutic device. The coordinates of the front of the therapeutic device and the origin coordinates of the spatial rectangular coordinate system are analyzed using a mathematical analysis algorithm to obtain the real-time treatment distance.

[0075] Through the method provided in this embodiment, the real-time area of ​​the eyeball and eyelid is accurately calculated through real-time eye images, so as to quickly evaluate the degree of eye closure. Based on the degree of eye closure and image details, the eye closure area is accurately defined to provide a basis for analyzing the effect of light irradiation. Combined with the preliminary light information and the eye closure area, the effective area where the light actually irradiates the eye is scientifically predicted to ensure the accuracy of treatment. By analyzing the interaction between the preliminary light and the irradiation area, the real-time reflective point position is accurately locked. Based on the reflective point position and the preliminary light characteristics, the optimal treatment distance is dynamically determined, the light transmission path is optimized, the treatment effect is improved, and the safety and effectiveness of the treatment process are ensured.

[0076] In some embodiments, the position of the light source of the comprehensive therapeutic device is obtained, and the distance between the light source and the eye is determined based on the light source position and the real-time eye image; the shape and volume of the eyeball are determined based on the patient's eye data; the intensity of the reflective points of the eyeball is determined based on the distance between the light source and the eye, the shape of the eyeball and the volume of the eyeball; the eye irradiation ratio is determined based on the irradiated area and the eye closure area; the real-time reflective point position is determined based on the real-time eye image, the reflective point intensity and the eye irradiation ratio.

[0077] The intensity of the reflective spot can be a numerical value that measures the strength of the patient's eye's ability to reflect the treatment light during treatment.

[0078] The eye irradiation ratio can be the ratio of the area formed by the therapeutic light irradiating the patient's eyeball during treatment to the surface area of ​​the patient's eyeball.

[0079] The light source position may be the position of the light source of the treatment device relative to the patient's eyes when the patient is receiving treatment.

[0080] Specifically, the real-time reflective point position of the patient's eye will be affected by the treatment light and the patient's eye characteristics during treatment. Therefore, it is necessary to determine the real-time reflective point position in combination with the patient's eye characteristics during treatment and the characteristics of the treatment light. Based on the patient's eye position, based on the spatial rectangular coordinate system obtained in the above steps, with the patient's eye position as the coordinate origin, the image analysis algorithm is used to analyze the real-time eye image to obtain the light source position. The light source position is marked in the spatial rectangular coordinate system to obtain the light source position coordinates. The light source position coordinates and the eye position as the coordinate origin are analyzed using a mathematical analysis algorithm to obtain the distance between the light source and the eye. The eyeball shape and eyeball volume are extracted from the patient's eye data. The distance between the light source and the eye, the eyeball shape, the preliminary light intensity, the preliminary light wavelength and the eyeball volume are analyzed using a mathematical analysis algorithm to obtain the reflective point intensity of the eyeball. The irradiated area is divided by the eye closure area to obtain the eye irradiation ratio. The eye irradiation ratio is multiplied by the real-time eyeball area obtained in the above steps to obtain the area of ​​the eyeball surface that is irradiated in real time. The real-time eye image is analyzed using an image analysis algorithm to determine the reflection range formed by the reflection point intensity in the real-time irradiated area. The reflection range formed by the reflection point intensity in the real-time irradiated area is determined as the real-time reflection point position.

[0081] Through the method provided in this embodiment, by accurately obtaining the light source position of the comprehensive therapeutic instrument and combining it with the real-time eye image, the precise distance between the light source and the eye can be quickly calculated, laying a solid foundation for subsequent light analysis. Based on the patient's eye data, the shape and volume of the eyeball are carefully depicted to ensure a deep understanding of the optical properties of the eyeball. The intensity of the eye's reflective points is scientifically evaluated by combining the light source distance, eyeball shape and volume, and the intensity distribution of the interaction between light and the eyeball is foreseen. Combined with the irradiated area and the eye closure area, the effective eye irradiation ratio is accurately calculated to quantify the actual area of ​​action of the light on the eye. Based on the real-time eye image, the intensity of the reflective point and the irradiation ratio, the real-time reflective point position is accurately located to achieve precise navigation and regulation of light therapy, ensuring the efficiency and safety of the treatment process.

[0082] In some embodiments, the real-time eye image is analyzed to determine the eye contours and eyelid heights of both eyes, and the eye contours and eyelid heights of both eyes are compared; if the eye contours and eyelid heights of both eyes are inconsistent, the real-time eye image is divided to obtain images of various eye regions; the images of various eye regions are analyzed to determine the colors of various eye regions, and the colors of various eye regions are compared to obtain images of color abnormal regions; the real-time reflection point positions are determined based on the color abnormal region images, the reflection point intensity and the eye illumination ratio.

[0083] The color abnormality area image may be an image corresponding to an area of ​​the patient's eye where the color is abnormal when the patient is undergoing treatment.

[0084] Specifically, when the patient is receiving treatment, the patient's eyes may be swollen. The swelling of the patient's eyes will cause changes in the height of the eyelids, the color of the eyes, and the contour of the eyes, thereby affecting the treatment of the patient's eyes. At this time, it is necessary to determine the degree of swelling of the patient's eyes by the height of the eyelids, the contour of the eyes, and the color of the eye area, so as to determine the real-time position of the reflection point according to the degree of swelling of the patient's eyes.

[0085] Therefore, an image analysis algorithm is used to analyze the real-time eye image. The eyelid heights of both eyes and the eye contours of both eyes are obtained. When comparing the eyelid heights of both eyes, the eye contours of both eyes are compared. If the eye contours of both eyes are inconsistent and the eyelid heights of both eyes are inconsistent. Because the color of the swollen area of ​​the patient's eyes is inconsistent with the color of the normal area, an image segmentation algorithm is used to segment the real-time eye image to obtain several eye area images of equal area. The color value reference range of the eye color in a normal state is obtained from a health website. The image analysis algorithm is used to analyze the eye area images obtained in the above steps to obtain the color values ​​of the eye area images. The color values ​​of the eye area images are matched with the color reference range values, and the eye area images corresponding to the color values ​​of the eye area images that are not within the color reference range values ​​are determined as color abnormal area images. Based on the image around the eye, the color abnormal area image is placed in the eye area image obtained in the above steps to obtain the placed image. The placed image is analyzed using an image analysis algorithm to obtain an overlapping image of the color abnormal area image and the eye area image. The placed image is analyzed using an edge detection algorithm to obtain an image other than the overlapping portion. Based on the image other than the overlapping portion obtained in the above steps, a mathematical analysis algorithm is used to analyze the preliminary light wavelength, the intensity of the reflection point, and the eye irradiation ratio to obtain a real-time reflection point range, and the real-time reflection point range is determined as the real-time reflection point position.

[0086] Through the method provided in this embodiment, the eye contours and eyelid heights of both eyes are accurately outlined by carefully analyzing the real-time eye images, and compared with each other to identify any potential binocular asymmetry. Once inconsistency is found between the two eyes, the real-time eye image is carefully divided, and the image of each area is analyzed independently to accurately capture the color characteristics of each area of ​​the eye. By comparing the colors of each area, the color abnormality areas are quickly locked, and these areas are often closely related to the health of the eyes. Combining multiple information such as the image of the abnormal color area, the intensity of the reflective point, and the proportion of eye illumination, the position of the real-time reflective point is accurately calculated, providing strong support for subsequent precision treatment and ensuring the pertinence and effectiveness of the treatment process.

[0087] In some embodiments, based on the color abnormal area image, the color abnormal area image is marked to obtain the abnormal area marked image; based on the abnormal area marked image, the contrast of the abnormal area marked image and the color distribution of the abnormal area are determined; based on the real-time eye image, the normal eye area image is determined, the normal eye area image is marked to obtain the normal area marked image; based on the normal area marked image, the contrast of the normal area marked image and the color distribution of the normal area are obtained; the contrast of the abnormal area marked image and the color distribution of the abnormal area are compared with the contrast of the normal area marked image and the color distribution of the normal area, and if the abnormal area is If the contrast of the area marking image and the color distribution of the abnormal area are inconsistent with the contrast of the normal area marking image and the color distribution of the normal area, the hand contour and the eye contour are obtained according to the real-time eye image; whether the hand contour overlaps with the eye contour is determined according to the hand contour and the eye contour; if the hand contour overlaps with the eye contour, the overlapping area is determined according to the hand contour and the eye contour; the real-time eye video frame is obtained, and the hand occlusion time and the hand occlusion degree are determined according to the real-time eye video frame and the overlapping area; the real-time reflection point position is determined according to the hand occlusion time, the hand occlusion degree, the reflection point intensity and the eye illumination ratio.

[0088] The overlapping area may be the area of ​​an overlapping portion generated when the hand contour and the eye contour overlap.

[0089] The eye contour may be the contour within a certain range around the patient's eye during treatment.

[0090] The abnormal region marked image may be an image obtained by marking the color abnormal region image.

[0091] The abnormal region color distribution may be the position distribution of different color ranges in the abnormal region marking image.

[0092] The normal region color distribution may be a position distribution of ranges of different colors in the normal region mark image.

[0093] The hand occlusion degree may be a numerical value measuring the degree to which the patient's hands occlude the patient's eyes during treatment.

[0094] Specifically, when a patient is receiving treatment, the patient's eyes may be swollen and the patient's eyes may be blocked by the hand. If the patient's eyes are swollen and the hand blocks the eyes, the light cannot be irradiated to the patient's eyes, and the treatment effect cannot be achieved. Therefore, it is necessary to determine the real-time reflection point position of the patient's eyes according to the blocking of the eyes by the hand, so as to provide a reference for determining the subsequent treatment light information according to the real-time reflection point position of the patient's eyes.

[0095] The color abnormal area image is marked using computer vision technology to obtain an abnormal area marked image. The abnormal area marked image is analyzed using an image analysis algorithm to obtain the contrast of the abnormal area marked image and the position of the area of ​​each color in the abnormal area. The position of the area of ​​each color in the abnormal area in the abnormal area marked image is determined as the abnormal area color distribution. Based on the real-time eye image, the image other than the abnormal area marked image obtained in the above step is determined as the normal eye area image. The normal eye area image is marked using computer vision technology to obtain a normal area marked image. The normal area marked image is analyzed using an image analysis algorithm to obtain the contrast of the normal area image and the position of the area of ​​each color in the normal area, and the position of the area of ​​each color in the normal area is determined as the normal area color distribution. The contrast of the abnormal area marked image and the abnormal area color distribution are compared with the contrast of the normal area marked image and the normal area color distribution. If the contrast of the normal area marked image is inconsistent with the contrast of the abnormal area marked image and the abnormal area color distribution is inconsistent with the normal area color distribution, it means that the appearance of the color abnormal area image is caused by hand occlusion. At this time, it is necessary to use an image analysis algorithm to analyze the real-time eye image to obtain the hand contour and the eye contour. Based on the hand contour, an edge detection algorithm is used to analyze the hand contour and the eye contour to determine whether the hand contour and the eye contour overlap. If the hand contour and the eye contour overlap, the edge detection algorithm is used to analyze the overlapping part of the hand contour and the eye contour to obtain the overlapping part contour and the area of ​​the overlapping part contour. The area of ​​the overlapping part contour is determined as the overlapping area.

[0096] Obtain real-time eye video frames from the eye monitoring device, and use a convolutional neural network to analyze the real-time eye video frames based on the hand contour to obtain the hand occlusion time. Use an image analysis algorithm to analyze the real-time eye image based on the overlapping area to obtain the hand occlusion degree. Use a mathematical analysis algorithm to analyze the hand occlusion time, hand occlusion degree, reflective point intensity, and eye illumination ratio to obtain the real-time reflective point area, and determine the real-time reflective point area as the real-time reflective point position.

[0097] Through the method provided in this embodiment, by marking the abnormal color area and comparing it with the contrast and color distribution of the normal eye area, the eye health condition can be accurately identified to provide a scientific basis for treatment. At the same time, the overlapping analysis of the eye and hand contours is used to evaluate the potential occlusion effect of the hand on the eye, including the occlusion time and degree. Combined with the real-time video frame analysis of the eye, the relative position relationship between the hand and the eye is dynamically monitored to ensure that the treatment light can reach the target area accurately and unimpeded. On this basis, multiple factors such as hand occlusion, reflection point intensity and eye irradiation ratio are comprehensively considered to accurately calculate the real-time reflection point position, realize the refined regulation of the treatment process, and improve the treatment effect and patient comfort.

[0098] In some embodiments, the sclera color and sclera transparency are obtained based on real-time eye images; the real-time eye images are analyzed to determine the eyelid shapes of both eyes and the degree of eyelid opening and closing; the degree of eyelid abnormality is determined based on the eyelid shapes of both eyes and the degree of eyelid opening and closing; the degree of eye inflammation is determined based on the degree of eyelid abnormality, sclera color and sclera transparency; the visual sensitivity of the eye is determined based on the intensity of the reflective points and the proportion of eye illumination; the real-time position of the reflective points is determined based on the degree of hand occlusion, the hand occlusion time, the degree of eye inflammation and the visual sensitivity.

[0099] Eyelid openness may be a numerical value that measures how open or closed the patient's eyelids are.

[0100] The degree of eyelid abnormality may be a numerical value that measures the difference between the patient's eyelid condition and the normal eyelid condition.

[0101] The degree of eye inflammation may be a numerical value that measures the difference between the inflammatory state of the patient's eye and the normal eye state.

[0102] Visual sensitivity can be a measure of how quickly a patient's eyes respond to therapeutic light.

[0103] Specifically, during the treatment of the patient, the patient's eyes may be inflamed. The occurrence of eye inflammation in the patient's eyes will cause the state of the patient's eyelids and sclera to be different from the state of the eyelids and sclera in a normal state, thereby affecting the effectiveness of the treatment to a certain extent.

[0104] Therefore, the real-time eye image is analyzed using an image analysis algorithm to obtain the sclera color, sclera transparency and eyelid shape. The real-time eye video frame obtained in the above steps is analyzed using a convolutional neural network to obtain the eyelid opening and closing degree. The eyelid shape of both eyes and the range of eyelid opening and closing degree in the normal state are obtained from the health website. The eyelid shape of both eyes is compared with the eyelid shape of both eyes in the normal state, and the eyelid opening and closing degree is matched with the range of eyelid opening and closing degree in the normal state. If the eyelid opening and closing degree is not within the range of eyelid opening and closing in the normal state and the eyelid shape of both eyes is inconsistent with the eyelid shape of both eyes in the normal state, it means that the patient's eyes are abnormal. The eyelid shape of both eyes and the eyelid opening and closing degree are compared with the eyelid shape of both eyes in the normal state and the range of eyelid opening and closing degree in the normal state, respectively, to determine the difference degree of eyelid shape of both eyes and the difference value of eyelid opening and closing degree. The difference degree of eyelid shape of both eyes and the difference value of eyelid opening and closing degree are analyzed using a mathematical analysis algorithm to obtain the degree of eyelid abnormality.

[0105] The degree of eyelid abnormality, scleral color, and scleral transparency were analyzed using a mathematical analysis algorithm to obtain the degree of eye inflammation. The real-time video frames of the eye were analyzed using a convolutional neural network to obtain the eye blinking frequency. The intensity of the reflective point, the eye illumination ratio, and the eye blinking frequency were analyzed using a mathematical analysis algorithm to determine the visual sensitivity of the eye. The degree of hand occlusion, hand occlusion time, degree of eye inflammation, and visual sensitivity were analyzed using a mathematical analysis algorithm to obtain the real-time reflective area, and the real-time reflective area was determined as the real-time reflective point position.

[0106] Through the method provided in this embodiment, by deeply analyzing the real-time eye images, key information such as sclera color, transparency and eyelid shape can be accurately extracted to comprehensively evaluate the health of the eyes. Based on the degree and shape of the eyelids, the degree of eyelid abnormality is quantified, and combined with the characteristics of the sclera, the severity of eye inflammation can be accurately judged. At the same time, the intensity of the reflective point and the ratio of eye irradiation are considered to evaluate the visual sensitivity of the eye and provide personalized parameters for treatment. Integrate real-time monitoring of hand occlusion, including the degree and time of occlusion, and comprehensively evaluate its impact on the treatment light. Finally, the real-time reflective point position is accurately calculated to ensure the accuracy and efficiency of the treatment process, while taking into account the comfort and safety of the patient.

[0107] In some embodiments, the light irradiation angle is determined according to the hand occlusion time and the hand occlusion degree; the light irradiation distance and the light irradiation mode are determined according to the real-time eye status, sclera color and sclera transparency; the preliminary light information is adjusted according to the real-time reflection point position to obtain the real-time light intensity and the real-time light wavelength; the light irradiation angle, light irradiation distance, light irradiation mode, real-time light intensity and real-time light wavelength are determined as the therapeutic light information.

[0108] The light irradiation mode may be a mode in which the light emitted by the therapeutic device irradiates the patient's eyes. The light irradiation mode may be a focused irradiation mode.

[0109] The light irradiation angle may be the angle at which the light emitted by the therapeutic device irradiates the patient's eyes.

[0110] The light irradiation distance may be the distance at which the light emitted by the therapeutic device irradiates the patient's eyes.

[0111] The real-time light intensity may be the intensity of the treatment light emitted by the treatment device during treatment.

[0112] The real-time light wavelength may be the wavelength of the treatment light emitted by the treatment device during treatment.

[0113] Specifically, when the patient's eyes are blocked, the blockage phenomenon will cause the treatment light to be unable to irradiate the eyes. At the same time, the sclera state of the patient's eyes is different from the normal sclera state due to inflammation of the patient's eyes, and the occurrence of this phenomenon will also affect the determination of the treatment light information.

[0114] Therefore, the image analysis algorithm is used to analyze the real-time eye image to obtain the position of the hand blocking the eye. The hand blocking degree is graded to obtain the blocking degree level, namely, mild blocking degree, moderate blocking degree and high blocking degree. The hand blocking time is graded to obtain the blocking time level, namely, low blocking time and high blocking time. Based on the position of the hand blocking the eye, according to the blocking degree level and blocking time level, according to the spatial rectangular coordinate system obtained in the above steps, the light source position is used as the origin of the coordinate system to determine the light irradiation angle. Based on the degree of eye inflammation obtained in the above steps, the sclera color type is determined according to the sclera color. The sclera transparency is graded to obtain the sclera transparency level. According to the sclera color type, the light irradiation mode is determined. For example, when the sclera color type is yellow, the light irradiation mode determined at this time is the focused irradiation mode, that is, the light concentration is increased to penetrate the sclera. According to the sclera transparency level, the light irradiation distance is determined. For example, the sclera transparency level is divided into three levels from high to low: level one, level two, and level three. When the sclera transparency level is level 1: light exposure distance: 15-30 cm. When the sclera transparency level is level 2: light exposure distance: 30-50 cm. When the sclera transparency level is level 3: light exposure distance: 50-100 cm.

[0115] Several historical eyeball volumes and several historical light intensities related to the treatment of myopia and amblyopia were obtained from the health website. The historical eyeball volumes and several historical light intensities were analyzed using the linear regression method to obtain the empirical constants of eyeball volume and light intensity. According to the eyeball volume obtained in the above steps, the initial light intensity was adjusted and calculated according to formula (1) to obtain the real-time light intensity:

[0116] in, Indicates the real-time light intensity. represents the empirical constant, Represents the volume of the eyeball.

[0117] Based on the eye contour, the image analysis algorithm is used to analyze the real-time eye image to obtain the real-time state of the eye. According to the real-time state of the eye, the initial light wavelength is adjusted to obtain the real-time light wavelength. For example: At the beginning of the treatment of a patient, the wavelength of the light emitted by the therapeutic device is 450 nanometers, and the real-time state of the eye is dry eye. At this time, in order to ensure the effect of the treatment, it is decided to adjust the wavelength of the light from 450 nanometers to 460 nanometers. At this time, the real-time light wavelength is 460 nanometers.

[0118] The light irradiation angle, light irradiation distance, light irradiation mode, real-time light intensity and real-time light wavelength obtained in the above steps are determined as treatment light information.

[0119] Through the method provided in this embodiment, by comprehensively considering the time and degree of hand occlusion, the light irradiation angle is flexibly adjusted to ensure that the therapeutic light can avoid the blocked area and effectively act on the eye. At the same time, based on key information such as real-time eye status, sclera color and transparency, the light irradiation distance and mode are accurately set to match the patient's personalized needs. According to the accurate feedback of the real-time reflective point position, the preliminary light information is carefully adjusted to optimize the real-time light intensity and wavelength to ensure that the therapeutic light is both safe and efficient. Integrating all parameters to form complete therapeutic light information provides a solid guarantee for subsequent precision treatment and maximizes the treatment effect.

[0120] In some embodiments, the real-time blinking frequency and eye movement trajectory are determined based on the real-time eye status and real-time eye image; the scleral transparency level is determined based on the scleral transparency; the light irradiation distance is determined based on the scleral color and the scleral transparency level; the light irradiation mode is determined based on the real-time blinking frequency and eye movement trajectory.

[0121] Specifically, since the therapeutic device has more than one light irradiation mode, and the patient's eye condition changes in real time during treatment, if the patient's eyes are treated throughout the entire treatment process according to the light irradiation mode determined at the beginning of treatment, the light irradiation mode determined at the beginning of treatment will be difficult to cope with the dynamic changes of the eyes during treatment.

[0122] Therefore, based on the real-time eye state of the patient, the image analysis algorithm is used to analyze the real-time eye image to obtain the eye movement trajectory. According to the sclera color type and sclera transparency level obtained in the above steps, the light irradiation distance is determined. For example, the sclera color of a patient is red, and the sclera transparency level is level one. At this time, because the sclera is red, it needs to be handled with caution, and the light intensity needs to be reduced and the irradiation distance needs to be increased to prevent irritation. At the same time, when the sclera transparency level is level one, the light irradiation distance needs to be determined as 20-30 cm. The eye blinking frequency determined in the above steps is determined as the real-time blinking frequency. Based on the eye movement trajectory, the real-time video frame of the eye is analyzed using a convolutional neural network to obtain the eye movement speed and eye movement direction. According to the eye movement speed and eye movement direction, the eye movement amplitude is determined. According to the real-time blinking frequency and eye movement amplitude, the light irradiation mode is determined.

[0123] Through the method provided in this embodiment, by real-time analysis of eye status and images, the blinking frequency and eye movement trajectory are accurately captured, providing a basis for the dynamic adjustment of light irradiation. At the same time, the sclera transparency is graded, and the light irradiation distance is scientifically set in combination with the sclera color to ensure that the light can penetrate to an appropriate depth and achieve the best treatment effect. Furthermore, according to the real-time changes in the blinking frequency and eye movement trajectory, the light irradiation mode is flexibly adjusted so that the light can closely follow the eye movement and maintain continuous and effective irradiation of the treatment area, which not only improves the personalization and comfort of the treatment, but also ensures the stability and reliability of the treatment effect.

[0124] Figure 3 A structural diagram of a data analysis system for a myopia and amblyopia comprehensive treatment device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the data transmission device 300 of this embodiment includes: a preliminary information determination module 301, a real-time status determination module 302 and a treatment information determination module 303.

[0125] The preliminary information determination module 301 is used to obtain the patient's eye data before treatment, determine the preliminary light information before treatment according to the patient's eye data, and treat the patient according to the preliminary light information; A real-time state determination module 302 is used to obtain a real-time eye image during treatment and determine the real-time eye state of the patient based on the real-time eye image; The treatment information determination module 303 is used to determine the treatment light information according to the preliminary light information and the real-time eye status, and send the treatment light information to the comprehensive treatment instrument for execution so that the comprehensive treatment instrument can perform treatment.

[0126] Optionally, the real-time status determination module 301 is specifically used to: According to the real-time eye image, determine the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the treatment device; Determine preliminary light intensity and preliminary light wavelength according to preliminary light information; Determine the scattering change of the preliminary light according to the real-time treatment distance, the preliminary light intensity and the preliminary light wavelength; Based on the real-time eye image, determine whether the scattering changes of the initial light will affect the treatment; If the scattering change of the preliminary light affects the treatment, the position of the preliminary reflection point is determined based on the patient's eye data; The patient's eye movement distance is determined based on the preliminary reflection point position and the real-time reflection point position, and the real-time eye state is determined based on the eye movement distance and the real-time eye image.

[0127] Optionally, the real-time status determination module 301 is specifically used to: Determine the real-time eyeball area and the real-time eyelid area according to the real-time eye image; Determine the real-time eye closure degree according to the real-time eyeball area and the real-time eyelid area; Determine the eye closure area according to the real-time eye closure degree and the real-time eye image; Determine the initial light irradiation area of ​​the eye according to the initial light information and the eye closure area; Determine the real-time reflective point position based on preliminary light information and irradiated area; Determine the treatment distance based on the real-time reflection point position and preliminary light information.

[0128] Optionally, the real-time status determination module 301 is specifically used to: Obtain the light source position of the comprehensive treatment device, and determine the distance between the light source and the eye based on the light source position and the real-time eye image; Determine the shape and volume of the eyeball based on the patient's eye data; Determine the intensity of the eye's reflective spot based on the distance between the light source and the eye, the eyeball's shape, and the eyeball's volume; Determine the eye irradiation ratio based on the irradiated area and eye closure area; The real-time reflective point position is determined based on the real-time eye image, the reflective point intensity and the eye illumination ratio.

[0129] Optionally, the real-time status determination module 301 is specifically used to: Analyze the real-time eye image, determine the eye contours and eyelid heights of both eyes, and compare the eye contours and eyelid heights of both eyes; If the eye contours of both eyes and the eyelid heights of both eyes are inconsistent, the real-time eye image is divided to obtain images of each area of ​​the eye; Analyze the images of each area of ​​the eye, determine the color of each area of ​​the eye, compare the colors of each area of ​​the eye, and obtain images of areas with abnormal colors; The real-time position of the reflective point is determined based on the image of the color abnormality area, the intensity of the reflective point and the eye illumination ratio.

[0130] Optionally, the real-time status determination module 301 is specifically used to: According to the color abnormal region image, the color abnormal region image is marked to obtain an abnormal region marked image; Determine the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image; Determine a normal eye region image according to the real-time eye image, mark the normal eye region image, and obtain a normal region marked image; According to the normal region marking image, the contrast of the normal region marking image and the color distribution of the normal region are obtained; Compare the contrast of the abnormal area marked image and the color distribution of the abnormal area with the contrast of the normal area marked image and the color distribution of the normal area. If the contrast of the abnormal area marked image and the color distribution of the abnormal area marked image are inconsistent with the contrast of the normal area marked image and the color distribution of the normal area marked image, obtain the hand contour and the eye contour according to the real-time eye image; According to the hand contour and the eye contour, determine whether the hand contour overlaps with the eye contour; If the hand contour overlaps with the eye contour, the overlapping area is determined based on the hand contour and the eye contour; Obtain real-time eye video frames, and determine the hand occlusion time and hand occlusion degree according to the real-time eye video frames and the overlapping area; The real-time position of the reflective point is determined based on the hand occlusion time, hand occlusion degree, reflective point intensity and eye illumination ratio.

[0131] Optionally, the real-time status determination module 301 is specifically used to: According to the real-time eye image, the sclera color and sclera transparency are obtained; Analyze real-time eye images to determine the eyelid shape and degree of eyelid opening and closing; Determine the degree of eyelid abnormality based on the shape of the eyelids and the degree of eyelid opening and closing; Determine the degree of eye inflammation based on the degree of eyelid abnormality, scleral color, and scleral transparency; Determine the visual sensitivity of the eye based on the intensity of the reflective spot and the proportion of eye illumination; The real-time position of the reflective point is determined based on the degree of hand occlusion, hand occlusion time, degree of eye inflammation and visual sensitivity.

[0132] Optionally, the real-time status determination module 301 is specifically used to: Determine the light irradiation angle according to the hand occlusion time and hand occlusion degree; Determine the light irradiation distance and light irradiation mode according to the real-time eye status, sclera color and sclera transparency; According to the real-time position of the reflection point, the preliminary light information is adjusted to obtain the real-time light intensity and the real-time light wavelength; The light irradiation angle, light irradiation distance, light irradiation mode, real-time light intensity and real-time light wavelength are determined as treatment light information.

[0133] Optionally, the real-time status determination module 301 is specifically used to: Determine the real-time blinking frequency and eye movement trajectory according to the real-time eye status and real-time eye image; According to the scleral transparency, the scleral transparency grade is determined; Determine the light exposure distance based on the sclera color and sclera transparency level; Determine the light exposure mode based on the real-time blinking frequency and eye movement trajectory.

[0134] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A data analysis method for a comprehensive myopia and amblyopia treatment device, characterized in that: include: Acquiring the patient's eye data before treatment, determining preliminary light information before treatment based on the patient's eye data, and sending the preliminary light information to the comprehensive treatment instrument so that the comprehensive treatment instrument performs treatment; Acquire a real-time eye image during treatment, and determine the real-time eye status of the patient based on the real-time eye image; The therapeutic light information is determined based on the preliminary light information and the real-time eye status, and the therapeutic light information is sent to the comprehensive therapeutic instrument for execution, so that the comprehensive therapeutic instrument performs treatment.

2. The method according to claim 1, characterized in that Determining the real-time eye state of the patient according to the real-time eye image includes: Determine the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the treatment device according to the real-time eye image; Determining preliminary light intensity and preliminary light wavelength according to the preliminary light information; Determining a scattering change of the preliminary light according to the real-time treatment distance, the preliminary light intensity, and the preliminary light wavelength; determining, based on the real-time eye image, whether the scattering change of the preliminary light affects treatment; If the scattering change of the preliminary light affects the treatment, determining the position of the preliminary reflection point according to the patient's eye data; The patient's eye movement distance is determined based on the preliminary reflection point position and the real-time reflection point position, and the real-time eye state is determined based on the eye movement distance and the real-time eye image.

3. The method according to claim 2, characterized in that Determining the real-time reflection point position of the patient's eye and the treatment distance between the eye and the therapeutic device according to the real-time eye image includes: Determine the real-time eyeball area and the real-time eyelid area according to the real-time eye image; Determining the real-time eye closure degree according to the real-time eyeball area and the real-time eyelid area; determining an eye closure area according to the real-time eye closure degree and the real-time eye image; Determining the irradiation area of ​​the eye by the preliminary light according to the preliminary light information and the eye closure area; Determining the real-time reflection point position according to the preliminary light information and the irradiated area; The treatment distance is determined according to the real-time reflection point position and the preliminary light information.

4. The method according to claim 3, characterized in that The step of determining the real-time reflection point position according to the preliminary light information, the irradiation area and the eye closure area includes: Obtaining the position of a light source of the comprehensive therapeutic apparatus, and determining the distance between the light source and the eye according to the position of the light source and the real-time eye image; Determining the shape and volume of the eyeball according to the patient's eye data; Determining the intensity of the light reflection point of the eyeball according to the distance between the light source and the eye, the shape of the eyeball and the volume of the eyeball; Determining an eye irradiation ratio according to the irradiation area and the eye closure area; The real-time position of the reflection point is determined according to the real-time eye image, the intensity of the reflection point and the eye illumination ratio.

5. The method according to claim 4, characterized in that Determining the real-time position of the light reflecting point according to the light reflecting point intensity and the eye illumination ratio includes: Analyze the real-time eye image, determine the eye contours of both eyes and the eyelid heights of both eyes, and compare the eye contours of both eyes and the eyelid heights of both eyes; If the eye contours of the two eyes and the eyelid heights of the two eyes are inconsistent, dividing the real-time eye image to obtain images of various eye regions; Analyzing the images of each area of ​​the eye, determining the colors of each area of ​​the eye, and comparing the colors of each area of ​​the eye to obtain an image of an abnormal color area; The real-time position of the reflection point is determined according to the color abnormality area image, the reflection point intensity and the eye illumination ratio.

6. The method according to claim 5, characterized in that The determining the real-time position of the light reflecting point according to the color abnormal area image, the light reflecting point intensity and the eye illumination ratio includes: According to the color abnormality region image, marking the color abnormality region image to obtain an abnormal region marking image; Determining the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image; Determine a normal eye region image according to the real-time eye image, mark the normal eye region image, and obtain a normal region marked image; According to the normal region marked image, obtaining the contrast of the normal region marked image and the normal region color distribution; Comparing the contrast and the color distribution of the abnormal area marked image with the contrast and the color distribution of the normal area marked image, if the contrast and the color distribution of the abnormal area marked image are inconsistent with the contrast and the color distribution of the normal area marked image, obtaining the hand contour and the eye contour according to the real-time eye image; According to the hand contour and the eye contour, determining whether the hand contour overlaps with the eye contour; If the hand contour overlaps with the eye contour, determining an overlapping area according to the hand contour and the eye contour; Acquire a real-time eye video frame, and determine the hand occlusion time and the hand occlusion degree according to the real-time eye video frame and the overlapping area; The real-time position of the light reflecting point is determined according to the hand covering time, the hand covering degree, the light reflecting point intensity and the eye illumination ratio.

7. The method according to claim 6, characterized in that The determining the real-time position of the light reflecting point according to the hand covering time, the hand covering degree, the light reflecting point intensity and the eye illumination ratio includes: Obtaining sclera color and sclera transparency according to the real-time eye image; Analyze the real-time eye image to determine the eyelid shape and eyelid opening degree of both eyes; Determining the degree of eyelid abnormality according to the eyelid shapes of both eyes and the degree of eyelid opening and closing; Determining the degree of eye inflammation according to the degree of eyelid abnormality, the color of the sclera, and the transparency of the sclera; Determining the visual sensitivity of the eye according to the intensity of the reflective point and the eye illumination ratio; The real-time position of the reflection point is determined according to the hand occlusion degree, the hand occlusion time, the eye inflammation degree and the visual sensitivity.

8. The method according to claim 7, characterized in that The step of determining treatment light information according to the preliminary light information and the real-time eye state includes: Determining the light irradiation angle according to the hand covering time and the hand covering degree; Determining a light irradiation distance and a light irradiation mode according to the real-time eye state, the sclera color, and the sclera transparency; According to the real-time reflection point position, the preliminary light information is adjusted to obtain the real-time light intensity and the real-time light wavelength; The light irradiation angle, the light irradiation distance, the light irradiation mode, the real-time light intensity and the real-time light wavelength are determined as the treatment light information.

9. The method according to claim 8, characterized in that The determining of the light irradiation distance and the light irradiation mode according to the real-time eye state, the sclera color and the sclera transparency includes: Determine the real-time blinking frequency and eye movement trajectory according to the real-time eye state and the real-time eye image; Determining a scleral transparency grade according to the scleral transparency; Determining the light irradiation distance according to the sclera color and the sclera transparency level; The light irradiation mode is determined according to the real-time blinking frequency and the eye movement trajectory.

10. A data analysis system for a comprehensive therapeutic device for myopia and amblyopia, characterized in that: include: A preliminary information determination module, used to obtain the patient's eye data before treatment, determine preliminary light information before treatment based on the patient's eye data, and treat the patient based on the preliminary light information; A real-time state determination module, used to obtain a real-time eye image during treatment, and determine the patient's real-time eye state based on the real-time eye image; The treatment information determination module is used to determine the treatment light information according to the preliminary light information and the real-time eye status, and send the treatment light information to the comprehensive treatment instrument for execution, so that the comprehensive treatment instrument performs treatment.

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