A data analysis method and system for a comprehensive myopia and amblyopia treatment device

Abstract

The present application relates to the field of data analysis technology, and in particular to a data analysis method and system for a comprehensive treatment device for myopia and amblyopia. The method comprises: obtaining 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 device; obtaining real-time eye images during treatment, determining the patient's real-time eye status based on the real-time eye images; determining treatment light information based on the preliminary light information and the real-time eye status, and sending the treatment light information to the comprehensive treatment device. The present application provides an accurate and reasonable reference basis for determining treatment light information by analyzing the real-time status of the patient's eyes, and treats the patient according to the treatment light information to ensure the accuracy and effectiveness of the treatment.

Description

Technical Field

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

[0002] As people's living standards continue to improve, eye problems are becoming increasingly prominent. Irregular eye habits can easily lead to myopia and amblyopia. A comprehensive myopia and amblyopia treatment device can effectively address this problem. The device emits light to treat the patient's eyes, effectively preventing unsatisfactory treatment results due to improper eye control.

[0003] However, during the treatment of the patient by the comprehensive therapeutic device, 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 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:

[0006] 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 device;

[0007] Acquiring real-time eye images during treatment, and determining the patient's real-time eye status based on the real-time eye images;

[0008] According to the preliminary light information and the real-time eye status, therapeutic light information is determined, and the therapeutic light information is sent to the comprehensive therapeutic device.

[0009] Through the above technical solution, by comprehensively collecting and analyzing the patient's eye data before treatment, the preliminary light information that suits 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 images are 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.

[0010] Optionally, determining the real-time eye status of the patient based on the real-time eye image includes:

[0011] Determining the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the therapeutic device based on the real-time eye image;

[0012] Determining preliminary light intensity and preliminary light wavelength according to the preliminary light information;

[0013] determining a scattering change of the preliminary light according to the real-time treatment distance, the preliminary light intensity, and the preliminary light wavelength;

[0014] determining, based on the real-time eye image, whether the scattering change of the preliminary light affects treatment;

[0015] 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;

[0016] 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.

[0017] This technical solution analyzes real-time ocular images to determine the location of the patient's eye's reflective point and measures the real-time treatment distance between the eye and the device, providing critical data for subsequent light adjustments. Based on this preliminary light information, the intensity and wavelength of the light are determined, providing a basis for a personalized treatment plan. The scattering variation of the preliminary light is calculated to assess the attenuation and diffusion of the light before reaching the eye. Furthermore, the real-time ocular image is used to determine whether the scattering variation will affect treatment. If so, the initial reflective point position is re-determined based on the patient's ocular data. This dynamic adjustment process ensures that the light is always focused on the correct treatment area. By comparing the initial reflective point position with the real-time reflective point position, the distance the patient's eye has moved is calculated. This not only improves treatment accuracy but also enhances flexibility and adaptability, ensuring the safety and effectiveness of the treatment process.

[0018] Optionally, determining the real-time reflection point position of the patient's eye and the treatment distance between the eye and the therapeutic device based on the real-time eye image includes:

[0019] Determining a real-time eyeball area and a real-time eyelid area according to the real-time eye image;

[0020] determining a real-time degree of eye closure according to the real-time eyeball area and the real-time eyelid area;

[0021] determining an eye closure area according to the real-time eye closure degree and the real-time eye image;

[0022] determining an area of ​​the eye illuminated by the preliminary light according to the preliminary light information and the eye closure area;

[0023] Determining the real-time reflection point position according to the preliminary light information and the irradiated area;

[0024] The treatment distance is determined according to the real-time reflection point position and the preliminary light information.

[0025] The above technical solution uses real-time eye images to accurately calculate the real-time area of ​​the eyeball and eyelid, allowing for a quick assessment of the degree of eye closure. Based on the degree of eye closure and image details, the closed eye area is accurately defined, providing a basis for analyzing the effect of light exposure. Combining preliminary light information and the closed eye area, the effective area of ​​the eye actually illuminated by light is scientifically predicted to ensure treatment accuracy. By analyzing the interaction between the preliminary light and the illuminated area, the real-time reflective point position is precisely locked. Based on the reflective point position and 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.

[0026] Optionally, determining the real-time position of the reflection point according to the preliminary light information, the irradiated area, and the eye closure area includes:

[0027] Obtaining the position of a light source of the comprehensive therapeutic device, and determining the distance between the light source and the eye based on the light source position and the real-time eye image;

[0028] Determining the shape and volume of the eyeball according to the patient's eye data;

[0029] 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;

[0030] determining an eye irradiation ratio according to the irradiation area and the eye closure area;

[0031] 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.

[0032] Through the above technical solution, by accurately obtaining the light source position of the comprehensive treatment device and combining it with real-time eye images, 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 light source distance, eyeball shape and volume are comprehensively considered to scientifically evaluate the intensity of the eye's reflective points, and to foresee the intensity distribution of the interaction between light and the eyeball. 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 ​​light acting 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.

[0033] Optionally, determining the real-time position of the light reflecting point according to the light reflecting point intensity and the eye illumination ratio includes:

[0034] Analyzing the real-time eye image, determining eye contours of both eyes and eyelid heights of both eyes, and comparing the eye contours of both eyes and the eyelid heights of both eyes;

[0035] 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 each eye area;

[0036] Analyzing the images of each area of ​​the eye, determining the color of each area of ​​the eye, and comparing the colors of each area of ​​the eye to obtain an image of an area with abnormal color;

[0037] The real-time position of the reflection point is determined according to the image of the color abnormal area, the intensity of the reflection point and the eye illumination ratio.

[0038] 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. By integrating 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 targeted and effective treatment process.

[0039] Optionally, determining the real-time position of the reflection point according to the color abnormal area image, the reflection point intensity, and the eye illumination ratio includes:

[0040] Marking the color abnormal region image according to the color abnormal region image to obtain an abnormal region marked image;

[0041] Determining the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image;

[0042] Determining a normal eye region image according to the real-time eye image, marking the normal eye region image to obtain a normal region marked image;

[0043] Obtaining the contrast of the normal area marked image and the normal area color distribution according to the normal area marked image;

[0044] comparing the contrast and color distribution of the abnormal region marked image with the contrast and color distribution of the normal region marked image; if the contrast and color distribution of the abnormal region marked image are inconsistent with the contrast and color distribution of the normal region marked image, obtaining the hand contour and the eye contour according to the real-time eye image;

[0045] Determining, based on the hand contour and the eye contour, whether the hand contour overlaps with the eye contour;

[0046] If the hand contour overlaps with the eye contour, determining an overlapping area based on the hand contour and the eye contour;

[0047] Acquire a real-time eye video frame, and determine the hand occlusion time and hand occlusion degree based on the real-time eye video frame and the overlapping area;

[0048] The real-time position of the light reflecting point is determined according to the hand occlusion time, the hand occlusion degree, the light reflecting point intensity and the eye illumination ratio.

[0049] Through the above technical solution, by marking the abnormal color area and comparing its contrast and color distribution with 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 real-time eye video frame analysis, 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, considering multiple factors such as hand occlusion, reflective point intensity and eye irradiation ratio, the real-time reflective point position is accurately calculated to achieve fine-grained control of the treatment process, improving treatment effect and patient comfort.

[0050] Optionally, determining the real-time position of the light reflecting point according to the hand occlusion time, the hand occlusion degree, the light reflecting point intensity, and the eye illumination ratio includes:

[0051] Obtaining sclera color and sclera transparency according to the real-time eye image;

[0052] Analyzing the real-time eye image to determine the eyelid shape and eyelid opening degree of both eyes;

[0053] determining the degree of eyelid abnormality based on the eyelid shapes of both eyes and the degree of eyelid opening and closing;

[0054] determining the degree of eye inflammation based on the degree of eyelid abnormality, the color of the sclera, and the transparency of the sclera;

[0055] determining the visual sensitivity of the eye according to the intensity of the reflective point and the eye illumination ratio;

[0056] 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.

[0057] 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 assess eye health. Based on the degree and shape of the 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 taken into account to evaluate the visual sensitivity of the eye and provide personalized parameters for treatment. Integrating real-time monitoring of hand occlusion, including the degree and time of occlusion, comprehensively evaluates its impact on the treatment light, and finally accurately calculates the real-time reflective point position, ensuring the accuracy and efficiency of the treatment process while taking into account the comfort and safety of the patient.

[0058] Optionally, determining the treatment light information according to the preliminary light information and the real-time eye status includes:

[0059] Determining a light irradiation angle according to the hand occlusion time and the hand occlusion degree;

[0060] determining a light irradiation distance and a light irradiation mode according to the real-time eye state, the sclera color, and the sclera transparency;

[0061] Adjusting the preliminary light information according to the real-time reflection point position to obtain the real-time light intensity and the real-time light wavelength;

[0062] 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.

[0063] 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 precisely set to match the patient's personalized needs. Based on 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 precise treatment and maximizes the treatment effect.

[0064] 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:

[0065] Determining a real-time blink frequency and an eye movement trajectory according to the real-time eye state and the real-time eye image;

[0066] determining a scleral transparency grade according to the scleral transparency;

[0067] determining the light irradiation distance according to the sclera color and the sclera transparency level;

[0068] The light irradiation mode is determined according to the real-time blinking frequency and the eye movement trajectory.

[0069] Through the above technical solution, by analyzing the eye status and images in real time, 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 combined with the sclera color, the light irradiation distance is scientifically set 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.

[0070] In a second aspect, the present application provides a data analysis system for a comprehensive myopia and amblyopia treatment device, the system comprising:

[0071] a preliminary information determination module, configured to obtain the patient's eye data before treatment, determine preliminary light information before treatment based on the patient's eye data, and determine the preliminary light information based on the preliminary light information;

[0072] A real-time state determination module is used to obtain real-time eye images during treatment and determine the patient's real-time eye state based on the real-time eye images;

[0073] The treatment information determination module is used to 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.

[0074] Optionally, the real-time status determination module is specifically configured to:

[0075] Determining the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the therapeutic device based on the real-time eye image;

[0076] Determining preliminary light intensity and preliminary light wavelength according to the preliminary light information;

[0077] determining a scattering change of the preliminary light according to the real-time treatment distance, the preliminary light intensity, and the preliminary light wavelength;

[0078] determining, based on the real-time eye image, whether the scattering change of the preliminary light affects treatment;

[0079] 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;

[0080] 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.

[0081] Optionally, the real-time status determination module is specifically configured to:

[0082] Determining a real-time eyeball area and a real-time eyelid area according to the real-time eye image;

[0083] determining a real-time degree of eye closure according to the real-time eyeball area and the real-time eyelid area;

[0084] determining an eye closure area according to the real-time eye closure degree and the real-time eye image;

[0085] determining an area of ​​the eye illuminated by the preliminary light according to the preliminary light information and the eye closure area;

[0086] Determining the real-time reflection point position according to the preliminary light information and the irradiated area;

[0087] The treatment distance is determined according to the real-time reflection point position and the preliminary light information.

[0088] Optionally, the real-time status determination module is specifically configured to:

[0089] Obtaining the position of a light source of the comprehensive therapeutic device, and determining the distance between the light source and the eye based on the light source position and the real-time eye image;

[0090] Determining the shape and volume of the eyeball according to the patient's eye data;

[0091] 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;

[0092] determining an eye irradiation ratio according to the irradiation area and the eye closure area;

[0093] 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.

[0094] Optionally, the real-time status determination module is specifically configured to:

[0095] Analyzing the real-time eye image, determining eye contours of both eyes and eyelid heights of both eyes, and comparing the eye contours of both eyes and the eyelid heights of both eyes;

[0096] 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 each eye area;

[0097] Analyzing the images of each area of ​​the eye, determining the color of each area of ​​the eye, and comparing the colors of each area of ​​the eye to obtain an image of an area with abnormal color;

[0098] The real-time position of the reflection point is determined according to the image of the color abnormal area, the intensity of the reflection point and the eye illumination ratio.

[0099] Optionally, the real-time status determination module is specifically configured to:

[0100] Marking the color abnormal region image according to the color abnormal region image to obtain an abnormal region marked image;

[0101] Determining the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image;

[0102] Determining a normal eye region image according to the real-time eye image, marking the normal eye region image to obtain a normal region marked image;

[0103] Obtaining the contrast of the normal area marked image and the normal area color distribution according to the normal area marked image;

[0104] comparing the contrast and color distribution of the abnormal region marked image with the contrast and color distribution of the normal region marked image; if the contrast and color distribution of the abnormal region marked image are inconsistent with the contrast and color distribution of the normal region marked image, obtaining the hand contour and the eye contour according to the real-time eye image;

[0105] Determining, based on the hand contour and the eye contour, whether the hand contour overlaps with the eye contour;

[0106] If the hand contour overlaps with the eye contour, determining an overlapping area based on the hand contour and the eye contour;

[0107] Acquire a real-time eye video frame, and determine the hand occlusion time and hand occlusion degree based on the real-time eye video frame and the overlapping area;

[0108] The real-time position of the light reflecting point is determined according to the hand occlusion time, the hand occlusion degree, the light reflecting point intensity and the eye illumination ratio.

[0109] Optionally, the real-time status determination module is specifically configured to:

[0110] Obtaining sclera color and sclera transparency according to the real-time eye image;

[0111] Analyzing the real-time eye image to determine the eyelid shape and eyelid opening degree of both eyes;

[0112] determining the degree of eyelid abnormality based on the eyelid shapes of both eyes and the degree of eyelid opening and closing;

[0113] determining the degree of eye inflammation based on the degree of eyelid abnormality, the color of the sclera, and the transparency of the sclera;

[0114] determining the visual sensitivity of the eye according to the intensity of the reflective point and the eye illumination ratio;

[0115] 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.

[0116] Optionally, the real-time status determination module is specifically configured to:

[0117] Determining a light irradiation angle according to the hand occlusion time and the hand occlusion degree;

[0118] determining a light irradiation distance and a light irradiation mode according to the real-time eye state, the sclera color, and the sclera transparency;

[0119] Adjusting the preliminary light information according to the real-time reflection point position to obtain the real-time light intensity and the real-time light wavelength;

[0120] 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.

[0121] Optionally, the real-time status determination module is specifically configured to:

[0122] Determining a real-time blink frequency and an eye movement trajectory according to the real-time eye state and the real-time eye image;

[0123] determining a scleral transparency grade according to the scleral transparency;

[0124] determining the light irradiation distance according to the sclera color and the sclera transparency level;

[0125] The light irradiation mode is determined according to the real-time blinking frequency and the eye movement trajectory. BRIEF DESCRIPTION OF THE DRAWINGS

[0126] 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.

[0127] Figure 1 A schematic diagram of an application scenario provided in one embodiment of the present application;

[0128] Figure 2 A flowchart of a data analysis method for a comprehensive myopia and amblyopia treatment device provided in one embodiment of the present application;

[0129] Figure 3 A structural diagram of a data analysis system for a comprehensive treatment device for myopia and amblyopia provided in one embodiment of the present application. DETAILED DESCRIPTION

[0130] To make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions 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 making creative efforts are within the scope of protection of this application.

[0131] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0132] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0133] During the treatment of patients 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.

[0134] Based on this, the present application provides a data analysis method and system for a comprehensive treatment 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, the preliminary light information before treatment is determined, which helps to formulate an effective treatment plan. By sending the preliminary light information directly to the treatment device, the treatment process is automated and human intervention is reduced. By obtaining real-time eye images during treatment, the real-time status of the patient's eyes can be understood in a timely manner, and the treatment plan can be adjusted according to the real-time status of the patient's eyes to ensure the maximization of the treatment effect. The preliminary light information and the real-time eye status 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 treatment device for execution helps to improve the overall treatment efficiency.

[0135] Figure 1 This is a schematic diagram of an application scenario provided by this application. When using a comprehensive myopia and amblyopia treatment device to treat a patient, the method provided by this application is applied to obtain the patient's eye data to determine preliminary light information before treatment. The real-time eye status is determined using real-time eye images during treatment. Based on the real-time eye status and preliminary light information, the treatment light information is determined. The treatment light information is then sent to the comprehensive myopia and amblyopia treatment device.

[0136] Specifically, the method provided in this application is applied to any server, which interacts with the comprehensive treatment device and the eye monitoring device. The server obtains and analyzes the eye monitoring information from the eye monitoring device to determine the treatment light information of the eye, and then sends the treatment light information to the myopia and amblyopia comprehensive treatment device. During the treatment process, the patient's real-time eye images are obtained and analyzed in real time, the eye status is dynamically assessed, and the treatment light information is adjusted based on this real-time data, achieving 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 comfort and satisfaction of the patient.

[0137] For specific implementation methods, please refer to the following embodiments.

[0138] Figure 2 This is a flow chart of a data analysis method for a myopia and amblyopia comprehensive treatment device provided in one 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:

[0139] 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 device.

[0140] During treatment, the patient's eye condition changes in real time. Determining treatment light information based on the patient's eye condition during treatment would increase the time required to determine the treatment light information, thereby affecting the effectiveness and timeliness of treatment. Therefore, by determining preliminary treatment light information based on the patient's pre-treatment eye data, this preliminary treatment light information can be adjusted during treatment, shortening the time required to determine the treatment light information and ensuring the effectiveness and timeliness of treatment.

[0141] The preliminary light information may be information of preliminary treatment light determined based on the patient's eye data, and may include preliminary light intensity and preliminary light wavelength.

[0142] The patient's eye data may be data related to the patient's eyes, and may include the volume of the eyeball and the area of ​​the eye contour.

[0143] Specifically, during treatment, preliminary treatment light information is determined based on the patient's real-time eye status. This reduces the time required to adjust the treatment light during treatment and maximizes synchronization between the treatment device and the patient's real-time eye status, ensuring the effectiveness and timeliness of treatment.

[0144] A real-time pre-treatment eye image of the patient is obtained from the eye monitoring device. An image analysis algorithm is used to analyze the pre-treatment real-time eye image to determine the patient's eyeball volume and eye contour area. Based on the eyeball volume and eye contour, a preliminary pre-treatment light intensity and wavelength are determined. These preliminary pre-treatment light intensity and wavelength are defined as preliminary light information. This preliminary pre-treatment light information is transmitted to the integrated treatment device.

[0145] 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.

[0146] The real-time eye image may be an image of the patient's eye while the patient is being treated.

[0147] 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.

[0148] Specifically, obtaining the real-time status of the patient's eyes during treatment can provide a reference for determining subsequent treatment light information.

[0149] The patient's real-time eye image is acquired from the eye monitoring device and analyzed using an image analysis algorithm to determine the degree of occlusion and swelling of the patient's eye. The degree of occlusion and swelling of the patient's eye are determined as the real-time eye status.

[0150] 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 device.

[0151] 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 condition. The therapeutic light information may include the intensity and wavelength of the therapeutic light.

[0152] 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 therapeutic effectiveness and scientific nature of the therapeutic device to the greatest extent.

[0153] The initial light intensity and wavelength are adjusted based on the real-time eye status obtained in the above steps to obtain the therapeutic light intensity and wavelength. The therapeutic light intensity and wavelength are determined as therapeutic light information. The therapeutic light information is transmitted to the comprehensive therapeutic device so that the comprehensive therapeutic device can treat the patient's eye.

[0154] Through the method provided by 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.

[0155] 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 status is determined based on the eye movement distance and the real-time eye image.

[0156] The real-time reflection point position may be the position of the reflection range formed by the patient's eyes reflecting the treatment light during treatment.

[0157] 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.

[0158] The preliminary reflection point position may be the position of the reflection range formed by the patient's eye reflecting the treatment light, determined based on the patient's eye data before treatment.

[0159] The eye movement distance may be the distance the patient's eye position moves during treatment compared to the eye position under normal treatment conditions.

[0160] The scattering change of the preliminary light may be a change caused by reflection of the preliminary light by the patient's eyes.

[0161] Specifically, when adjusting the preliminary light information based on the patient's real-time eye condition, the patient's real-time eye condition is complex and changeable. Therefore, it is necessary to determine the patient's real-time eye condition based on the patient's real-time eye image and eye data to provide a reference for subsequent adjustments to the preliminary light information.

[0162] Obtain a real-time eye image of the patient before treatment from the eye monitoring device, segment the real-time eye image before treatment using an image segmentation algorithm, and obtain a number of eye region images. Analyze the real-time eye images using an image analysis algorithm to obtain the brightness of each eye region before treatment. Segment the real-time eye image obtained in the above steps using an image segmentation algorithm to obtain a number of real-time eye images. Analyze the real-time eye images using an image analysis algorithm to obtain the real-time brightness of each eye region. Compare the real-time brightness of each eye region with the brightness of each eye region, and determine all regions with real-time brightness greater than the brightness of the eye region as real-time reflection point locations. Analyze the real-time eye images using an image analysis algorithm to obtain the real-time treatment distance between the eye and the treatment device.

[0163] A mathematical analysis algorithm is used 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. The maximum distance between the patient's eye and the therapeutic device is obtained from the relevant website of the manufacturer of the myopia and amblyopia therapeutic device. The maximum distance is compared 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 the patient's eye reflecting the treatment light too much, 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. The image around the eye is analyzed using an image analysis algorithm to obtain the ambient brightness around the eye.

[0164] The pre-treatment brightness of each eye region obtained in the above steps is compared with the ambient brightness around the eye to obtain a comparison result. Based on the comparison result, the area corresponding to the area where the pre-treatment brightness of each eye region is greater than the ambient brightness around the eye is determined as the preliminary reflective point location. A spatial rectangular coordinate system is established with the preliminary reflective point location as the origin. The real-time reflective point location is marked in the spatial rectangular coordinate system to obtain the coordinates of the real-time reflective point location in the spatial rectangular coordinate system. A mathematical analysis algorithm is used to analyze the coordinates of the real-time reflective point location in the spatial rectangular coordinate system and the coordinates of the origin of the spatial rectangular coordinate system to obtain the patient's eye movement distance. An image analysis algorithm is used to analyze the real-time eye image to obtain the distance between the patient's pupils. The distance between the patient's pupils is subtracted from the eye movement distance to obtain a subtraction result, and the absolute value of the subtraction result is taken to obtain the absolute value of the distance. The absolute value of the distance is determined as the eye movement distance, and the eye movement distance is determined as the real-time eye status.

[0165] Through the method provided in this embodiment, by analyzing real-time eye images, the position of the reflective point in 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 adjustments. Based on the preliminary light information, the intensity and wavelength of the light are determined, providing a basis for determining a personalized treatment plan. By calculating the scattering changes of the preliminary light, the attenuation and diffusion of the light before reaching the eye are assessed. Furthermore, the real-time eye image is used to determine whether the scattering changes will affect the treatment. If so, the preliminary reflective point position is re-determined based on 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 with the real-time reflective point position, the distance the patient's eye has moved is calculated. This not only improves the accuracy of the treatment, but also enhances the flexibility and adaptability of the treatment, ensuring the safety and effectiveness of the treatment process.

[0166] 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.

[0167] The real-time eye closure level may be a numerical value that measures the eye closure status of the patient while the patient is being treated.

[0168] The real-time eyeball area may be the area of ​​the patient's eyeball surface during treatment.

[0169] The irradiation area may be the area formed by the preliminary light irradiating the patient's eyeball.

[0170] 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.

[0171] Therefore, an image analysis algorithm is used to analyze the real-time eye image to obtain the real-time eyeball area and 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 step is divided by the real-time eye closure degree to obtain a division value. The division value is determined as the eye closure area. A preliminary light irradiation angle is extracted from the preliminary light information. The preliminary light irradiation angle, preliminary light wavelength, eye closure area, and preliminary light intensity obtained in the above step 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 step are analyzed using a mathematical analysis algorithm to obtain the preliminary light attenuation degree. An irradiation area image corresponding to the irradiation area is obtained from the real-time eye image. Based on the preliminary light attenuation degree obtained in the above step, 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, with the location of the reflective point as the origin of the spatial rectangular coordinate system, an image analysis algorithm is used to analyze the real-time eye image to determine the position of the front of the therapeutic device. 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. A mathematical analysis algorithm is used to analyze the coordinates of the front of the therapeutic device and the coordinates of the origin of the spatial rectangular coordinate system to determine the real-time treatment distance.

[0172] 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, providing a basis for analyzing the effect of light irradiation. Combining 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 reflection point position is accurately locked. Based on the reflection 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.

[0173] 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 point 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.

[0174] The intensity of the reflection point can be a numerical value used to measure the strength of the patient's eye's ability to reflect the treatment light during treatment.

[0175] 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.

[0176] The light source position may be the position of the light source of the therapeutic device relative to the patient's eyes when the patient is undergoing treatment.

[0177] Specifically, the real-time location of the reflective spot in the patient's eye is affected by the treatment light and the patient's eye characteristics during treatment. Therefore, the real-time reflective spot location needs to be determined based on the patient's eye characteristics during treatment and the characteristics of the treatment light. Using the patient's eye position as a reference, and based on the spatial rectangular coordinate system obtained in the above steps, with the patient's eye position as the coordinate origin, an image analysis algorithm is used to analyze the real-time eye image to determine the light source position. The light source position is marked in the spatial rectangular coordinate system to obtain the light source position coordinates. A mathematical analysis algorithm is used to analyze the light source position coordinates and the coordinates with the eye position as the coordinate origin to determine the distance between the light source and the eye. The eyeball shape and volume are extracted from the patient's eye data. A mathematical analysis algorithm is used to analyze the distance between the light source and the eye, the eyeball shape, the preliminary light intensity, the preliminary light wavelength, and the eyeball volume to determine the reflective spot intensity. The illuminated area is divided by the closed eye area to determine the eye illumination ratio. The eye illumination ratio is multiplied by the real-time eyeball area obtained in the above steps to determine the real-time illuminated area of ​​the eyeball surface. The real-time eye image is analyzed using an image analysis algorithm to determine the reflection range formed by the intensity of the reflection point within the real-time illuminated area. The reflection range formed by the intensity of the reflection point within the real-time illuminated area is determined as the real-time reflection point position.

[0178] 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 characteristics of the eyeball. The light source distance, eyeball shape and volume are comprehensively considered to scientifically evaluate the intensity of the eyeball reflection point, and predict the intensity distribution of the interaction between light and the eyeball. Combining the irradiation area and the eye closure area, the effective irradiation ratio of the eye is accurately calculated, and the actual effect area of ​​the light on the eye is quantified. Based on the real-time eye image, the intensity of the reflection point and the irradiation ratio, the real-time reflection point position is accurately located to achieve precise navigation and regulation of light therapy, ensuring the efficiency and safety of the treatment process.

[0179] In some embodiments, the real-time eye image is analyzed to determine the eye contours and eyelid heights of both eyes, and then 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 then the colors of various eye regions are compared to obtain images of color abnormal regions; the real-time position of the reflection point is determined based on the image of the color abnormal region, the intensity of the reflection point and the eye illumination ratio.

[0180] The color abnormality area image may be an image corresponding to an area of ​​the patient's eye where the color is abnormal during treatment.

[0181] Specifically, during treatment, the patient's eyes may be swollen. This swelling can cause changes in the eyelid height, eye color, and eye contour, thus affecting the treatment. In this case, the eyelid height, eye contour, and eye area color of the patient are needed to determine the degree of swelling, and thus determine the real-time reflective point position based on the degree of swelling.

[0182] Therefore, an image analysis algorithm is used to analyze the real-time eye image. The eyelid heights and eye contours of both eyes are obtained. The obtained eyelid heights are then compared with the eye contours of both eyes. If the eye contours and eyelid heights are inconsistent, the real-time eye image is segmented using an image segmentation algorithm to obtain several eye region images of equal area. A reference range of normal eye color values ​​is obtained from a health website. The image analysis algorithm is used to analyze the eye region images obtained in the above steps to obtain color values ​​for each eye region image. The color values ​​of each eye region image are then matched with the color reference range values. The eye region images corresponding to color values ​​that do not fall within the color reference range are identified as color-abnormal region images. Using the surrounding eye image as a reference, the color-abnormal region image is placed within the surrounding eye image obtained in the above steps to obtain a post-placement image. The post-placement image is then analyzed using an image analysis algorithm to obtain an image of the overlapping portion of the color-abnormal region image and the surrounding eye image. An edge detection algorithm is used to analyze the placed image to obtain an image outside the overlapping portion. Based on the image outside the overlapping portion obtained in the above steps, a mathematical analysis algorithm is used to analyze the preliminary light wavelength, reflection point intensity, and eye illumination ratio to obtain the real-time reflection point range, which is determined as the real-time reflection point position.

[0183] Through the method provided by 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 immediately divided into detailed parts, and the images of each area are 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 status of the eyes. By integrating multiple information such as the image of the color abnormality area, the intensity of the reflective point, and the eye illumination ratio, 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.

[0184] 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 abnormal area color distribution 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 normal area color distribution are obtained; the contrast of the abnormal area marked image and the abnormal area color distribution are compared with the contrast and normal area color distribution of the normal area marked image, 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; according to the hand contour and the eye contour, it is determined whether the hand contour overlaps with the eye contour; if the hand contour and the eye contour overlap, the overlapping area is determined according to the hand contour and the eye contour; the real-time video frame of the eye is obtained, and the hand occlusion time and the hand occlusion degree are determined according to the real-time video frame of the eye 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.

[0185] The overlapping area may be the area of ​​an overlapping portion generated when the hand outline and the eye outline overlap.

[0186] The eye contour may be the contour within a certain range around the patient's eye during treatment.

[0187] The abnormal region marked image may be an image obtained by marking the color abnormal region image.

[0188] The abnormal region color distribution may be the position distribution of different color ranges in the abnormal region marking image.

[0189] The normal region color distribution may be the position distribution of different color ranges in the normal region mark image.

[0190] 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.

[0191] Specifically, during treatment, the patient's eyes may be swollen and blocked by their hands. If this happens, the light will not reach the patient's eyes, preventing the treatment from being effective. Therefore, it is necessary to determine the real-time reflection point position of the patient's eyes based on the hand's occlusion of the eyes, thereby providing a reference for determining subsequent treatment light information.

[0192] The abnormal color region image is marked using computer vision technology to obtain an abnormal region marked image. The abnormal region marked image is analyzed using an image analysis algorithm to obtain the contrast of the abnormal region marked image and the location of the area of ​​each color within the abnormal region. The location of the area of ​​each color within the abnormal region in the abnormal region marked image is determined as the abnormal region color distribution. Based on the real-time eye image, images other than the abnormal region marked image obtained in the above step are determined as normal eye region images. The normal eye region image is marked using computer vision technology to obtain a normal region marked image. The normal region marked image is analyzed using an image analysis algorithm to obtain the contrast of the normal region image and the location of the area of ​​each color within the normal region. The location of the area of ​​each color within the normal region is determined as the normal region color distribution. The contrast and abnormal region color distribution of the abnormal region marked image are compared with the contrast and normal region color distribution of the normal region marked image. If the contrast of the normal region marked image is inconsistent with that of the abnormal region marked image and the abnormal region color distribution is inconsistent with that of the normal region, it indicates that the abnormal color region image is caused by hand occlusion. At this point, an image analysis algorithm is needed to analyze the real-time eye image to obtain the hand and eye contours. Based on the hand contour, an edge detection algorithm is used to analyze the hand and eye contours to determine whether they overlap. If so, the edge detection algorithm is then used to analyze the overlapping portion of the hand and eye contours to obtain the outline of the overlapping portion and the area of ​​the overlapping portion. The area of ​​the overlapping portion is determined as the overlapping area.

[0193] Real-time eye video frames are acquired from the eye monitoring device. A convolutional neural network is used to analyze these frames based on the hand contour to determine the hand occlusion duration. An image analysis algorithm is used to analyze the real-time eye images based on the overlapping area to determine the degree of hand occlusion. A mathematical analysis algorithm is used to analyze the hand occlusion duration, degree of hand occlusion, reflective point intensity, and eye illumination ratio to determine the real-time reflective point area. This area is then used to determine the real-time reflective point location.

[0194] 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 unobstructed. On this basis, considering multiple factors such as hand occlusion, reflection point intensity and eye irradiation ratio, the real-time reflection point position is accurately calculated to achieve refined regulation of the treatment process, improve the treatment effect and patient comfort.

[0195] In some embodiments, the sclera color and sclera transparency are obtained based on the real-time eye image; the real-time eye image is analyzed to determine the eyelid shape and the degree of eyelid opening and closing of both eyes; the degree of eyelid abnormality is determined based on the eyelid shape and the degree of eyelid opening and closing of both eyes; 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 point and the proportion of eye illumination; the real-time position of the reflective point is determined based on the degree of hand occlusion, the hand occlusion time, the degree of eye inflammation and the visual sensitivity.

[0196] Eyelid openness may be a numerical value that measures how open or closed the patient's eyelids are.

[0197] The degree of eyelid abnormality may be a numerical value that measures the difference between the patient's eyelid condition and a normal eyelid condition.

[0198] The degree of ocular inflammation may be a numerical value that measures the difference between the inflammatory state of the patient's eye and the normal eye state.

[0199] Visual sensitivity can be a measure of how quickly a patient's eyes respond to therapeutic light.

[0200] Specifically, during the treatment process, the patient's eyes may experience inflammation. The occurrence of eye inflammation can cause the condition of the patient's eyelids and sclera to differ from the normal state of the eyelids and sclera, thereby affecting the effectiveness of the treatment to a certain extent.

[0201] Therefore, an image analysis algorithm is used to analyze real-time eye images to obtain sclera color, sclera transparency, and eyelid shape. A convolutional neural network is used to analyze the real-time eye video frames obtained in the above steps to obtain the degree of eyelid opening and closing. The eyelid shape and eyelid opening and closing range of both eyes under normal conditions are obtained from a health website. The eyelid shapes of both eyes are compared with the eyelid shapes of both eyes under normal conditions, and the eyelid opening and closing degree is matched with the eyelid opening and closing range under normal conditions. If the eyelid opening and closing degree is not within the eyelid opening and closing range under normal conditions and the eyelid shapes of both eyes are inconsistent with the eyelid shapes under normal conditions, it indicates that the patient has an eye abnormality. The eyelid shapes and eyelid opening and closing degree of both eyes are compared with the eyelid shapes of both eyes under normal conditions and the eyelid opening and closing range under normal conditions, respectively, to determine the degree of difference in eyelid shape and the eyelid opening and closing degree difference value. A mathematical analysis algorithm is used to analyze the degree of difference in eyelid shape and the eyelid opening and closing degree difference value to obtain the degree of eyelid abnormality.

[0202] Mathematical analysis algorithms were used to analyze the degree of eyelid abnormality, scleral color, and scleral transparency to determine the degree of ocular inflammation. A convolutional neural network was used to analyze real-time video frames of the eye to determine blink frequency. Mathematical analysis algorithms were used to analyze the intensity of reflective points, the proportion of eye illumination, and blink frequency to determine visual sensitivity. Mathematical analysis algorithms were also used to analyze the degree of hand occlusion, the duration of hand occlusion, the degree of ocular inflammation, and visual sensitivity to determine the real-time reflective area, which was then used to determine the real-time reflective point location.

[0203] Through the method provided by this embodiment, by deeply analyzing the real-time eye images, key information such as sclera color, transparency and eyelid shape is 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 is 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. Integrating real-time monitoring of hand occlusion, including the degree and time of occlusion, comprehensively evaluates its impact on the treatment light, and finally accurately calculates the real-time reflective point position to ensure the accuracy and efficiency of the treatment process while taking into account the comfort and safety of the patient.

[0204] In some embodiments, the light irradiation angle is determined based on the hand occlusion time and the hand occlusion degree; the light irradiation distance and the light irradiation mode are determined based on 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.

[0205] The light irradiation mode may be a mode in which the light emitted by the therapeutic device is irradiated to the patient's eyes. The light irradiation mode may be a focused irradiation mode.

[0206] The light irradiation angle may be the angle at which the light emitted by the therapeutic device irradiates the patient's eyes.

[0207] The light irradiation distance may be the distance at which the light emitted by the therapeutic device irradiates the patient's eyes.

[0208] The real-time light intensity may be the intensity of the treatment light emitted by the treatment device during treatment.

[0209] The real-time light wavelength may be the wavelength of the treatment light emitted by the treatment device during treatment.

[0210] Specifically, if the patient's eyes are blocked, the blockage will prevent the treatment light from reaching the eyes. Furthermore, inflammation in the patient's eyes can cause the sclera to be in a different state than a normal sclera, which can also affect the determination of treatment light information.

[0211] Therefore, an image analysis algorithm is used to analyze real-time eye images to determine the position of the hand blocking the eye. The degree of hand blocking is categorized into mild, moderate, and high levels. The duration of hand blocking is categorized into low and high levels. Based on the position of the hand blocking the eye, the degree of blocking and the duration of blocking are used, and the light irradiation angle is determined using the spatial rectangular coordinate system obtained in the above steps, with the light source position as the origin. Based on the degree of eye inflammation obtained in the above steps and the sclera color, the sclera color type is determined. The sclera transparency is categorized into levels to determine the sclera transparency level. Based on the sclera color type, the light irradiation mode is determined. For example, if the sclera color type is yellow, the determined light irradiation mode is a focused mode, which increases the light concentration to penetrate the sclera. The light irradiation distance is determined based on the sclera transparency level. For example, the sclera transparency levels are categorized 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.

[0212] 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. Based on the eyeball volume obtained in the above steps, the preliminary light intensity was adjusted and calculated according to formula (1) to obtain the real-time light intensity:

[0213] I=k×V(1)

[0214] Among them, I represents the real-time light intensity, k represents the empirical constant, and V represents the eye volume.

[0215] Based on the eye contour, an image analysis algorithm is used to analyze the real-time eye image to determine the real-time eye status. Based on the real-time eye status, the initial light wavelength is adjusted to obtain the real-time light wavelength. For example, at the beginning of treatment, a patient's light wavelength emitted by the therapeutic device is 450 nanometers, and their real-time eye condition is dry eye. To ensure the effectiveness of the treatment, the wavelength of the light is adjusted from 450 nanometers to 460 nanometers. The real-time light wavelength is now 460 nanometers.

[0216] 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.

[0217] Through the method provided by 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. Based on 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 precise treatment and maximizes the treatment effect.

[0218] 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 sclera transparency; the light irradiation distance is determined based on the sclera color and the sclera transparency level; and the light irradiation mode is determined based on the real-time blinking frequency and eye movement trajectory.

[0219] Specifically, since the therapeutic device has more than one light irradiation mode, and the condition of the patient's eyes 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.

[0220] Therefore, based on the real-time eye status of the patient, an image analysis algorithm is used to analyze the real-time eye image to obtain the eye movement trajectory. The light irradiation distance is determined based on the sclera color type and sclera transparency level obtained in the above steps. For example, a patient's sclera color is red and the sclera transparency level is level one. At this time, due to the red sclera, caution is required. 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 to be 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, a convolutional neural network is used to analyze the real-time eye video frames to obtain the eye movement speed and eye movement direction. Based on the eye movement speed and eye movement direction, the eye movement amplitude is determined. Based on the real-time blinking frequency and eye movement amplitude, the light irradiation pattern is determined.

[0221] Through the method provided by this embodiment, by analyzing the eye status and image in real time, 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 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.

[0222] Figure 3 A structural diagram of a data analysis system for a comprehensive myopia and amblyopia treatment device provided in one 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 .

[0223] The preliminary information determination module 301 is used to obtain the patient's eye data before treatment, determine the preliminary light information before treatment based on the patient's eye data, and determine the preliminary light information based on the preliminary light information;

[0224] A real-time state determination module 302 is used to obtain real-time eye images during treatment and determine the patient's real-time eye state based on the real-time eye images;

[0225] The treatment information determination module 303 is used to 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.

[0226] Optionally, the real-time status determination module 301 is specifically configured to:

[0227] 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;

[0228] Determine preliminary light intensity and preliminary light wavelength according to preliminary light information;

[0229] determining a change in scattering of the preliminary light according to the real-time treatment distance, the preliminary light intensity, and the preliminary light wavelength;

[0230] Based on real-time eye images, determine whether the initial light scattering changes affect treatment;

[0231] 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;

[0232] Based on the preliminary reflection point position and the real-time reflection point position, the patient's eye movement distance is determined, and based on the eye movement distance and the real-time eye image, the real-time eye status is determined.

[0233] Optionally, the real-time status determination module 301 is specifically configured to:

[0234] Determine the real-time eyeball area and real-time eyelid area based on the real-time eye image;

[0235] Determine the real-time eye closure degree based on the real-time eyeball area and the real-time eyelid area;

[0236] Determine the eye closure area based on the real-time eye closure degree and the real-time eye image;

[0237] Determine the initial light irradiation area of ​​the eye based on the initial light information and the eye closure area;

[0238] Determine the real-time reflection point position based on preliminary light information and irradiation area;

[0239] Determine the treatment distance based on the real-time reflection point position and preliminary light information.

[0240] Optionally, the real-time status determination module 301 is specifically configured to:

[0241] 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 real-time eye image;

[0242] Determine the shape and volume of the eyeball based on the patient's eye data;

[0243] Determine the intensity of the eye's reflective point based on the distance between the light source and the eye, the shape of the eye, and the volume of the eye;

[0244] Determine the eye irradiation ratio based on the irradiated area and the eye closure area;

[0245] The real-time position of the reflection point is determined based on the real-time eye image, the reflection point intensity and the eye illumination ratio.

[0246] Optionally, the real-time status determination module 301 is specifically configured to:

[0247] Analyze real-time eye images, determine the eye contours and eyelid heights of both eyes, and compare the eye contours and eyelid heights of both eyes;

[0248] If the eye contours and eyelid heights of both eyes are inconsistent, the real-time eye image is divided to obtain images of each eye area;

[0249] 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;

[0250] The real-time position of the reflective point is determined based on the image of the abnormal color area, the intensity of the reflective point and the eye illumination ratio.

[0251] Optionally, the real-time status determination module 301 is specifically configured to:

[0252] Marking the color abnormal region image according to the color abnormal region image to obtain an abnormal region marked image;

[0253] Determining the contrast of the abnormal region marked image and the color distribution of the abnormal region according to the abnormal region marked image;

[0254] 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;

[0255] 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;

[0256] Comparing the contrast and color distribution of the abnormal area marked image with the contrast and color distribution of the normal area marked image; if the contrast and color distribution of the abnormal area marked image are inconsistent with the contrast and color distribution of the normal area marked image, obtaining the hand contour and the eye contour based on the real-time eye image;

[0257] According to the hand contour and the eye contour, determine whether the hand contour overlaps with the eye contour;

[0258] If the hand contour and the eye contour overlap, the overlapping area is determined based on the hand contour and the eye contour;

[0259] Obtain real-time eye video frames, and determine the hand occlusion time and hand occlusion degree based on the real-time eye video frames and the overlapping area;

[0260] 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.

[0261] Optionally, the real-time status determination module 301 is specifically configured to:

[0262] According to the real-time eye image, the sclera color and sclera transparency are obtained;

[0263] Analyze real-time eye images to determine the eyelid shape and degree of eyelid opening;

[0264] Determine the degree of eyelid abnormality based on the shape of the eyelids and the degree of eyelid opening and closing;

[0265] Determine the degree of eye inflammation based on the degree of eyelid abnormality, scleral color, and scleral transparency;

[0266] Determine the visual sensitivity of the eye based on the intensity of the reflective spot and the proportion of eye illumination;

[0267] 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.

[0268] Optionally, the real-time status determination module 301 is specifically configured to:

[0269] Determine the light irradiation angle according to the hand occlusion time and hand occlusion degree;

[0270] Determine the light irradiation distance and light irradiation mode based on the real-time eye status, sclera color and sclera transparency;

[0271] According to the real-time reflection point position, the preliminary light information is adjusted to obtain the real-time light intensity and wavelength;

[0272] 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.

[0273] Optionally, the real-time status determination module 301 is specifically configured to:

[0274] Determine the real-time blinking frequency and eye movement trajectory based on the real-time eye status and real-time eye image;

[0275] According to the scleral transparency, the scleral transparency grade was determined;

[0276] Determine the light exposure distance based on the sclera color and sclera transparency level;

[0277] Determine the light exposure mode based on the real-time blinking frequency and eye movement trajectory.

[0278] The system of this embodiment can be used to execute the method of any of the above embodiments. Its 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 device; Acquiring real-time eye images during treatment, and determining the patient's real-time eye status based on the real-time eye images; determining therapeutic light information according to the preliminary light information and the real-time eye status, and sending the therapeutic light information to the comprehensive therapeutic apparatus; Determining the patient's real-time eye status based on the real-time eye image includes: Determining the real-time reflection point position of the patient's eye and the real-time treatment distance between the eye and the therapeutic device based on 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.

2. The method according to claim 1, 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 based on the real-time eye image includes: Determining a real-time eyeball area and a real-time eyelid area according to the real-time eye image; determining a real-time degree of eye closure 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 an area of ​​the eye illuminated 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.

3. The method according to claim 2, characterized in that The determining of the real-time position of the reflection point 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 device, and determining the distance between the light source and the eye based on the light source position 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.

4. The method according to claim 3, characterized in that The determining the real-time position of the light reflecting point according to the light reflecting point intensity and the eye illumination ratio includes: Analyzing the real-time eye image, determining eye contours of both eyes and eyelid heights of both eyes, and comparing 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 each eye area; Analyzing the images of each area of ​​the eye, determining the color of each area of ​​the eye, and comparing the colors of each area of ​​the eye to obtain an image of an area with abnormal color; The real-time position of the reflection point is determined according to the image of the color abnormal area, the intensity of the reflection point and the eye illumination ratio.

5. The method according to claim 4, characterized in that The determining of 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: Marking the color abnormal region image according to the color abnormal region image to obtain an abnormal region marked 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; Determining a normal eye region image according to the real-time eye image, marking the normal eye region image to obtain a normal region marked image; Obtaining the contrast of the normal area marked image and the normal area color distribution according to the normal area marked image; comparing the contrast and color distribution of the abnormal region marked image with the contrast and color distribution of the normal region marked image; if the contrast and color distribution of the abnormal region marked image are inconsistent with the contrast and color distribution of the normal region marked image, obtaining the hand contour and the eye contour according to the real-time eye image; Determining, based on the hand contour and the eye contour, whether the hand contour overlaps with the eye contour; If the hand contour overlaps with the eye contour, determining an overlapping area based on the hand contour and the eye contour; Acquire a real-time eye video frame, and determine the hand occlusion time and hand occlusion degree based on 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 occlusion time, the hand occlusion degree, the light reflecting point intensity and the eye illumination ratio.

6. The method according to claim 5, characterized in that The determining of the real-time position of the light reflecting point according to the hand occlusion time, the hand occlusion 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; Analyzing the real-time eye image to determine the eyelid shape and eyelid opening degree of both eyes; determining the degree of eyelid abnormality based on the eyelid shapes of both eyes and the degree of eyelid opening and closing; determining the degree of eye inflammation based on 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.

7. The method according to claim 6, characterized in that The determining of treatment light information according to the preliminary light information and the real-time eye status includes: Determining a light irradiation angle according to the hand occlusion time and the hand occlusion 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; Adjusting the preliminary light information 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, 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.

8. The method according to claim 7, 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: Determining a real-time blink frequency and an 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.

9. A data analysis system for a comprehensive treatment device for myopia and amblyopia, characterized in that: The method as claimed in any one of claims 1 to 8 comprises: a preliminary information determination module, configured to obtain the patient's eye data before treatment and determine preliminary light information before treatment based on the patient's eye data; A real-time state determination module is used to obtain real-time eye images during treatment and determine the patient's real-time eye state based on the real-time eye images; The treatment information determination module is used to 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.

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