A self-adaptive adjustment method and device for hyperbaric oxygen eye therapy device

Abstract

The embodiment of the present application discloses an adaptive adjustment method and device for a hyperbaric oxygen eye therapy device. Obtain the physical examination data information corresponding to the current user; determine the initial treatment data in the preset medical plan library based on the physical examination data information, and adjust the initial working state of the hyperbaric oxygen eye therapy device based on the initial treatment data; obtain the eye image of the current user in real time based on the image acquisition device; determine the eye state value corresponding to the eye image; wherein the eye state value includes at least one of the pupil morphology value, the iris morphology value, and the sclera morphology value; when the eye state value meets the eye reference data value, re-adjust the working state of the hyperbaric oxygen eye therapy device based on the treatment data corresponding to the eye reference data value. Through the above method, the treatment effect is improved.

Description

Technical Field

[0001] The present application relates to the field of eye treatment technology, and in particular to an adaptive adjustment method and device for a hyperbaric oxygen eye treatment device. Background Art

[0002] Hyperbaric oxygen therapy is a treatment method that involves inhaling pure oxygen in an environment with a pressure exceeding one atmosphere. Ordinary oxygen inhalation is done in an environment with an atmospheric pressure, and the oxygen inhaled is not pure oxygen. The concentration and pressure of oxygen are low, and the effect is poor. In the process of using hyperbaric oxygen to treat the eyes, CO2 can be removed in time, pH and metabolic changes can be avoided, glycogen depletion can be prevented, and the basis for corneal substance metabolism can be guaranteed.

[0003] However, when the prior art uses a hyperbaric oxygen eye therapy device to treat the eyes, the therapy device is usually adjusted to a corresponding working state according to the patient's condition, and the therapy device is always kept in the initial working state during the treatment process. As a result, it is difficult to adaptively adjust the working state according to the user's condition, which affects the treatment effect. Summary of the invention

[0004] The embodiments of the present application provide an adaptive adjustment method and device for a hyperbaric oxygen eye therapy device, which is used to solve the following technical problem: the prior art is difficult to adaptively adjust the working state according to the user's condition, which affects the treatment effect.

[0005] The present application embodiment adopts the following technical solutions:

[0006] The embodiment of the present application provides an adaptive adjustment method for a hyperbaric oxygen eye therapy device. The method includes obtaining the physical examination data information corresponding to the current user; determining the initial treatment data in the preset medical plan library according to the physical examination data information, and adjusting the initial working state of the hyperbaric oxygen eye therapy device according to the initial treatment data; obtaining the eye image of the current user in real time based on the image acquisition device; determining the eye state value corresponding to the eye image; wherein the eye state value includes at least one of the pupil morphology value, the iris morphology value, and the sclera morphology value; when the eye state value meets the eye reference data value, re-adjusting the working state of the hyperbaric oxygen eye therapy device according to the treatment data corresponding to the eye reference data value.

[0007] The embodiment of the present application obtains the user's physical examination data and adjusts the initial working state of the hyperbaric oxygen eye therapy device according to the physical examination data. It can make different adjustments according to the physical conditions of different users, so that the treatment effect varies from person to person, thereby improving the treatment effect. Secondly, the embodiment of the present application adaptively adjusts the working state according to the eye image corresponding to the user, so that the user can continuously adjust the pressure or humidity of the hyperbaric oxygen as the treatment effect continues to increase during the treatment process, thereby allowing the user to always maintain a good treatment effect.

[0008] In one implementation of the present application, the working state of the hyperbaric oxygen eye therapy device is readjusted according to the treatment data corresponding to the eye reference data value, specifically including: comparing the eye state value with the eye reference data value; wherein different eye reference data values ​​correspond to different treatment data; when the eye state value satisfies any eye reference data value, the working state of the hyperbaric oxygen eye therapy device is adjusted according to the treatment data corresponding to any eye reference data value.

[0009] In one implementation of the present application, the eye state value is compared with the eye reference data value, specifically including: determining the category of the eye state value; determining the corresponding cluster center based on the category of the eye state value; wherein different cluster centers correspond to different eye state levels; and clustering the classified eye state values ​​based on the K-nearest neighbor algorithm to obtain multiple eye state levels corresponding to the eye state values.

[0010] In one implementation of the present application, after obtaining multiple eye status levels corresponding to the eye status values, the method also includes: classifying and counting the multiple eye status levels to determine the number of values ​​corresponding to different levels; and determining corresponding treatment data based on the number of values ​​after classification and counting.

[0011] In one implementation of the present application, determining the eye state value corresponding to an eye image specifically includes: inputting the eye image into a preset eye target prediction model, and marking the target position in the eye image through the preset eye target prediction model; wherein the target position includes at least one of the pupil, iris and sclera; inputting the marked eye image into a preset parameter value prediction model, and obtaining the eye state value of the target position through the preset parameter value model.

[0012] The embodiment of the present application can obtain an image with the target position marked by inputting the eye image into a preset eye target prediction model, so that the current condition of the user can be obtained by analyzing only the image at the target position, thereby reducing the complexity of the analysis and calculation. Secondly, the embodiment of the present application inputs the marked eye image into a preset parameter value prediction model to obtain the eye state value. Not only can it solve the problem of large manual calculation errors, it can also increase the speed of obtaining the eye state value, thereby improving the efficiency of eye image analysis.

[0013] In one implementation of the present application, initial treatment data is determined in a preset medical plan library based on physical examination data information, specifically including: determining the user's current eye health condition based on the physical examination data information; and determining the user's basic identity information based on the physical examination data information; wherein the basic identity information includes at least one of age, gender, height, and weight; determining the first treatment data in the preset medical plan based on the basic identity information; and performing weighted calculation on the first treatment data based on the weight value corresponding to the basic identity information to obtain the initial treatment data.

[0014] In one implementation of the present application, based on the weight value corresponding to the basic identity information, the first treatment data is weightedly calculated to obtain initial treatment data, specifically including: based on a preset information level table, the basic identity information is graded; wherein the preset information level table includes multiple basic identity information data values, and weight values ​​corresponding to the multiple identity information data values; determining the weight value corresponding to the current basic identity information; and adjusting the first treatment data based on the weight value to obtain initial treatment data that meets the current user's physical condition.

[0015] The embodiment of the present application adjusts the first treatment data by setting different weight values, so that the obtained initial treatment data is more in line with the current user's physical condition, thereby reducing the user's discomfort during the treatment process and improving the treatment effect.

[0016] In one implementation of the present application, after acquiring the eye image of the current user in real time, the method also includes: determining a first coordinate position of the pupil in the image in a current time period, and determining a second coordinate position of the pupil in the image in a previous time period; determining a distance difference between the first coordinate position and the second coordinate position; and adjusting the oxygen flow outlet position of the hyperbaric oxygen eye therapy device based on the distance difference, the actual size of the user's eye, and the size of the eye image.

[0017] In one implementation of the present application, after acquiring the eye image of the current user in real time, the method also includes: acquiring the number of images of the user with open eyes and the number of images of the user with closed eyes collected in the current time period; determining the user's eyelid blinking frequency based on the number of images of the user with open eyes and the number of images of the user with closed eyes; when the eyelid blinking frequency does not fall within the preset blinking frequency range, adjusting the working state of the hyperbaric oxygen eye therapy device to reduce the output oxygen pressure; re-determining the user's eyelid blinking frequency in the next time period, and when the eyelid blinking frequency falls within the preset blinking frequency range, using the oxygen pressure corresponding to the current time period for treatment.

[0018] An embodiment of the present application provides an adaptive adjustment device for a hyperbaric oxygen eye therapy device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: obtain physical examination data information corresponding to the current user; determine initial treatment data in a preset medical plan library based on the physical examination data information, and perform initial working state adjustment on the hyperbaric oxygen eye therapy device based on the initial treatment data; obtain an eye image of the current user in real time based on an image acquisition device; determine an eye state value corresponding to the eye image; wherein the eye state value includes at least one of a pupil morphology value, an iris morphology value, and a sclera morphology value; when the eye state value meets the eye reference data value, re-adjust the working state of the hyperbaric oxygen eye therapy device based on the treatment data corresponding to the eye reference data value.

[0019] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0020] The embodiment of the present application obtains the user's physical examination data and adjusts the initial working state of the hyperbaric oxygen eye therapy device according to the physical examination data. It can make different adjustments according to the physical conditions of different users, so that the treatment effect varies from person to person, thereby improving the treatment effect. Secondly, the embodiment of the present application adaptively adjusts the working state according to the user's corresponding eye image, so that the user can continuously adjust the pressure of the hyperbaric oxygen as the treatment effect continues to increase during the treatment process, thereby allowing the user to always maintain a good treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0022] Figure 1 A flow chart of an adaptive adjustment method for a hyperbaric oxygen eye therapy device provided in an embodiment of the present application;

[0023] Figure 2 A schematic diagram of the structure of an adaptive adjustment device for a hyperbaric oxygen eye therapy device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiments of the present application provide an adaptive adjustment method and device for a hyperbaric oxygen eye therapy device.

[0025] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0026] Hyperbaric oxygen therapy is a treatment method that involves inhaling pure oxygen in an environment with a pressure exceeding one atmosphere. Ordinary oxygen inhalation is done in an environment with an atmospheric pressure, and the oxygen inhaled is not pure oxygen. The concentration and pressure of oxygen are low and the effect of hyperbaric oxygen is not as good. In the process of using hyperbaric oxygen to treat the eyes, the normal function of the cornea (cell synthesis and repair) can be maintained, CO2 can be removed in time, pH and metabolic changes can be avoided, glycogen depletion can be prevented, and the basis of corneal substance metabolism can be guaranteed.

[0027] However, when the prior art uses a hyperbaric oxygen eye therapy device to treat the eyes, the therapy device is usually adjusted to a corresponding working state according to the patient's condition, or the treatment process needs to be interrupted and the therapy device needs to be readjusted to the working state, making it difficult to adaptively adjust the working state according to the user's condition, thus affecting the treatment effect.

[0028] The embodiment of the present application obtains the user's physical examination data and adjusts the initial working state of the hyperbaric oxygen eye therapy device according to the physical examination data. It can make different adjustments according to the physical conditions of different users, so that the treatment effect varies from person to person, thereby improving the treatment effect. Secondly, the embodiment of the present application adaptively adjusts the working state according to the user's corresponding eye image, so that the user can continuously adjust the pressure of the hyperbaric oxygen as the treatment effect continues to increase during the treatment process, thereby allowing the user to always maintain a good treatment effect.

[0029] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0030] Figure 1A flow chart of an adaptive adjustment method for a hyperbaric oxygen eye therapy device provided in an embodiment of the present application. Figure 1 As shown, the adaptive adjustment method for the hyperbaric oxygen eye therapy device includes the following steps:

[0031] S101, an adaptive adjustment device for a hyperbaric oxygen eye therapy device, to obtain physical examination data information corresponding to the current user.

[0032] In one embodiment of the present application, before a user undergoes eye treatment, physical examination data information corresponding to the user is first obtained to determine the initial working state of the hyperbaric oxygen eye treatment device based on the physical examination data information of the user.

[0033] Furthermore, the user's physical examination information needs to be uploaded to the server in advance, and the adaptive adjustment device of the hyperbaric oxygen eye therapy device can match the information in the server according to the identity information of the current user to automatically obtain the physical examination information.

[0034] S102. The adaptive adjustment device for the hyperbaric oxygen eye therapy apparatus determines initial treatment data in a preset medical plan library based on the physical examination data information, and adjusts the initial working state of the hyperbaric oxygen eye therapy apparatus based on the initial treatment data.

[0035] In one embodiment of the present application, the current eye health condition of the user is determined based on the physical examination data information. And the basic identity information of the user is determined based on the physical examination data information. Wherein, the basic identity information includes at least one of age, gender, height, and weight. The first treatment data is determined in the preset medical plan according to the current eye health condition. According to the weight value corresponding to the basic identity information, the first treatment data is weightedly calculated to obtain the initial treatment data.

[0036] Specifically, the adaptive adjustment device for the hyperbaric oxygen eye therapy device obtains multiple physical examination data in the physical examination data information to determine the physical condition of the current user based on the physical examination data. For example, the physical condition of the current user can be analyzed based on physical examination data such as heart rate, blood pressure, and blood sugar. If the physical examination data is within the normal range, it indicates that the current user is in good physical condition. If the physical examination data does not fall within the normal range, the user's physical condition is evaluated based on the difference between each abnormal physical examination data and the normal indicator data. For example, the larger the difference, the worse the user's physical health condition. According to the evaluation results, the corresponding first treatment data is searched in the preset medical plan.

[0037] Furthermore, when evaluating the user's physical condition, the difference between each abnormal physical examination data and the normal index data can be compared with a preset difference level table. The level to which the difference belongs is determined, and the physical health assessment result corresponding to the level is determined, so as to find the corresponding first treatment data according to the assessment result. And according to the weight value corresponding to the basic identity information, the first treatment data is weighted and calculated to obtain the initial treatment data.

[0038] In one embodiment of the present application, the basic identity information is graded based on a preset information grade table. The preset information grade table includes a plurality of basic identity information data values ​​and weight values ​​corresponding to the plurality of identity information data values. The weight value corresponding to the current basic identity information is determined. The first treatment data is adjusted based on the weight value to obtain initial treatment data that meets the current user's physical condition.

[0039] Specifically, after obtaining the physical examination data information of the current user, the basic identity information is graded according to the preset information grade table. For example, the user's height, weight, age and gender are compared with the preset information grade table to determine the grade to which the user's identity information data belongs.

[0040] Furthermore, a weight value corresponding to the level is obtained, and a weighted calculation is performed according to the weight value and the basic identity information data of the user, and the result of the weighted calculation is calculated again with the first medical data to adjust the first medical data.

[0041] For example, if the user is older, the corresponding weight value will be lower. At this time, the weight value and the user's identity information data are calculated to obtain the weighted calculation result. Because the user is older, the weighted result obtained will be smaller than the standard value. The weighted calculation result is then calculated with the first medical data. The first medical data obtained at this time will be smaller, which means that the treatment effect of the hyperbaric oxygen eye therapy device is reduced, so that it matches the current user's physical condition and reduces the user's discomfort due to the strong treatment effect.

[0042] The embodiment of the present application adjusts the first treatment data by setting different weight values, so that the obtained initial treatment data is more in line with the current user's physical condition, thereby reducing the user's discomfort during the treatment process and improving the treatment effect.

[0043] S103: Based on the image acquisition device, the eye image of the current user is acquired in real time.

[0044] In one embodiment of the present application, a first coordinate position of a pupil in an image in a current time period is determined, and a second coordinate position of a pupil in an image in a previous time period is determined. A distance difference between the first coordinate position and the second coordinate position is determined. Based on the distance difference, the actual size of the user's eye, and the size of the eye image, the position of the oxygen flow outlet of the hyperbaric oxygen eye therapy device is adjusted.

[0045] Specifically, the adaptive adjustment device for the hyperbaric oxygen eye therapy device is equipped with an image acquisition device. After the user wears the hyperbaric oxygen eye therapy device, the image acquisition device can continuously acquire the user's eye images at the same position.

[0046] Furthermore, a coordinate system is established with the straight line where the left edge of the image is located as the x-axis, the straight line where the upper edge of the image is located as the y-axis, and the intersection between the left edge and the upper edge as the origin. The coordinates of the pupil position are determined by the established coordinate system.

[0047] Specifically, the first coordinate position of the pupil in the coordinate system in the current time period is determined, and the second coordinate position of the pupil in the coordinate system in the next time period is obtained. According to the difference between the first coordinate and the second coordinate, the displacement distance of the pupil in the two time periods is determined. In particular, since the user may move around during the treatment process, the pupil coordinate position in the image may be changed.

[0048] Furthermore, based on the distance difference, the actual size of the user's eyes and the size of the eye image, the actual distance that the hyperbaric oxygen eye therapy device needs to move is obtained, so that the position of the oxygen flow outlet of the hyperbaric oxygen eye therapy device can be adjusted according to the actual distance.

[0049] The embodiment of the present application can adjust the position of the oxygen flow outlet of the hyperbaric oxygen eye therapy device so that the oxygen outlet position can be as close to the pupil as possible, thereby improving the treatment effect.

[0050] S104, an adaptive adjustment device for a hyperbaric oxygen eye therapy device, determining an eye state value corresponding to an eye image.

[0051] In one embodiment of the present application, an eye image is input into a preset eye target prediction model, and a target position in the eye image is annotated by the preset eye target prediction model. The target position includes one or more of the pupil, iris, and sclera. The annotated eye image is input into a preset parameter value prediction model, and the eye state value of the target position is obtained by the preset parameter value model.

[0052] Specifically, the pre-collected eye image samples are used as input, and the labeled eye image samples are used as output to train the neural network model to obtain a preset eye target prediction model. Then the current eye image is input into the preset eye target prediction model, and the target position in the eye image is labeled by the preset eye target prediction model.

[0053] Furthermore, the pre-collected annotated eye image is used as input, and the eye state value corresponding to the sample image is used as output to train the neural network model to obtain a preset eye target prediction model. Then, the current annotated image is input into the preset eye target prediction model, and the eye state value of the target position is obtained through the preset eye target prediction model.

[0054] S105. When the eye status value satisfies the eye reference data value, the adaptive adjustment device for the hyperbaric oxygen eye therapy device readjusts the working status of the hyperbaric oxygen eye therapy device according to the treatment data corresponding to the eye reference data value.

[0055] In one embodiment of the present application, the eye state value is compared with the eye reference data value. Different eye reference data values ​​correspond to different treatment data. When the eye state value satisfies any eye reference data value, the working state of the hyperbaric oxygen eye treatment device is adjusted according to the treatment data corresponding to any eye reference data value.

[0056] Specifically, the embodiment of the present application presets eye reference data values, and different eye reference data values ​​correspond to different treatment data. The eye state value corresponding to the current eye image is compared with the preset eye reference value to determine the treatment data corresponding to the eye state value. And the working state of the hyperbaric oxygen eye therapy device is adjusted according to the corresponding treatment data. Through the working state adjustment, the pressure, humidity, etc. of the oxygen output are more in line with the current user's physical condition to improve the user's treatment effect.

[0057] In one embodiment of the present application, the category of the eye state value is determined. The corresponding cluster center is determined based on the category of the eye state value. Different cluster centers correspond to different eye state levels. The classified eye state values ​​are clustered based on the K-nearest neighbor algorithm to obtain multiple eye state levels corresponding to the eye state values.

[0058] Specifically, the category of the eye state value is determined. For example, the current eye state value may be a value category such as a pupil morphology value, an iris morphology value, a sclera morphology value, etc. Based on different value categories, the corresponding cluster center is determined.

[0059] For example, taking the pupil morphology value as an example, according to the different sizes of the pupil, the aperture value is divided into levels, and the pupil size range corresponding to each level is determined, and the middle value in the range is used as a cluster center. Therefore, after dividing the pupil size into multiple levels, multiple corresponding cluster centers can be obtained.

[0060] Furthermore, based on the K-nearest neighbor algorithm, the acquired through-hole sizes corresponding to the current image are clustered, the cluster center corresponding to the through-hole size value of the current image is determined, and the eye state level corresponding to the cluster center is used as the first eye state level corresponding to the pupil morphology value category.

[0061] Based on the above method, the iris morphology value, sclera morphology value and other values ​​corresponding to the current image are clustered respectively to obtain the second eye state level corresponding to the iris morphology value and the third eye state level corresponding to the sclera morphology value.

[0062] In one embodiment of the present application, multiple eye status levels are classified and counted according to the level categories to determine the number of values ​​corresponding to different levels. Based on the classified and counted number of values, corresponding treatment data is determined.

[0063] Specifically, the eye state level corresponding to the current image is counted, and the number of values ​​corresponding to different levels is determined. For example, after counting, the number of values ​​of the first level is 2, and the number of values ​​of the second level is 1, then the corresponding treatment data is determined in the preset treatment database according to the information of the number of values.

[0064] In one embodiment of the present application, the number of images of the user with eyes open and eyes closed collected in the current time period is obtained. Based on the number of images with eyes open and eyes closed, the user's eyelid blinking frequency is determined. When the eyelid blinking frequency does not fall within the preset blinking frequency range, the working state of the hyperbaric oxygen eye therapy device is adjusted to reduce the output oxygen pressure. The user's eyelid blinking frequency is re-determined in the next time period, and when the eyelid blinking frequency falls within the preset blinking frequency range, the oxygen pressure corresponding to the current time period is used for treatment.

[0065] Specifically, during the user's treatment process, the user's treatment status needs to be monitored in real time. The user's blinking frequency in the current time period can be obtained and analyzed. If the blinking frequency is within the normal range, it means that the user is in good condition. If the blinking frequency is not within the normal range, the user may feel uncomfortable. At this time, the working state of the hyperbaric oxygen eye therapy device needs to be adjusted to reduce the pressure and humidity of the output oxygen.

[0066] Furthermore, the user's blinking frequency in the next time period is obtained, and it is determined whether the blinking frequency is within the normal range. If it is within the normal range, it means that the user can be treated more comfortably within the oxygen pressure and humidity. If the user's blinking frequency is still not within the normal range, the working state of the hyperbaric oxygen eye therapy device is continuously adjusted until the user's blinking frequency is within the normal range.

[0067] Figure 2 A schematic diagram of the structure of an adaptive adjustment device for a hyperbaric oxygen eye therapy device provided in an embodiment of the present application.

[0068] like Figure 2 As shown, an adaptive adjustment device for a hyperbaric oxygen eye therapy device, comprising:

[0069] at least one processor; and,

[0070] a memory communicatively connected to the at least one processor; wherein,

[0071] The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0072] Get the physical examination data information corresponding to the current user;

[0073] According to the physical examination data information, initial treatment data is determined in a preset medical plan library, and the initial working state of the hyperbaric oxygen eye treatment device is adjusted according to the initial treatment data;

[0074] Based on the image acquisition device, the eye image of the current user is acquired in real time;

[0075] Determine an eye state value corresponding to the eye image; wherein the eye state value includes at least one of a pupil morphology value, an iris morphology value, and a sclera morphology value;

[0076] When the eye status value satisfies the eye reference data value, the working status of the hyperbaric oxygen eye therapy device is readjusted according to the treatment data corresponding to the eye reference data value.

[0077] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0078] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0079] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the scope of the claims of the present application.

Claims

1. An adaptive adjustment device for a hyperbaric oxygen eye therapy device, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to: Get the physical examination data information corresponding to the current user; According to the physical examination data information, initial treatment data is determined in a preset medical plan library, and the initial working state of the hyperbaric oxygen eye treatment device is adjusted according to the initial treatment data; Based on the image acquisition device, the eye image of the current user is acquired in real time; Determine an eye state value corresponding to the eye image; wherein the eye state value includes at least one of a pupil morphology value, an iris morphology value, and a sclera morphology value; When the eye state value satisfies the eye reference data value, re-adjusting the working state of the hyperbaric oxygen eye therapy device according to the treatment data corresponding to the eye reference data value; The processor is capable of: Determining the user's current eye health condition based on the physical examination data information; and Based on the physical examination data information, determine the basic identity information of the user; wherein the basic identity information includes at least one of age, gender, height, and weight; Determining first treatment data in a preset medical plan according to the current eye health condition; Performing weighted calculation on the first treatment data according to the weight value corresponding to the basic identity information to obtain the initial treatment data; The processor is capable of: Based on a preset information level table, the basic identity information is graded; wherein the preset information level table includes a plurality of basic identity information data values ​​and weight values ​​corresponding to the plurality of basic identity information data values; Determine the weight value corresponding to the current basic identity information; Adjusting the first treatment data based on the weight value to obtain initial treatment data that meets the current physical condition of the user; After acquiring the eye image of the current user in real time, the processor can also: Determine a first coordinate position of the pupil in the image in a current time period, and determine a second coordinate position of the pupil in the image in a previous time period; Determine a distance difference between the first coordinate position and the second coordinate position; Based on the distance difference, the actual size of the user's eye, and the size of the eye image, adjusting the position of the oxygen flow outlet of the hyperbaric oxygen eye therapy device; After acquiring the eye image of the current user in real time, the processor can also: Get the number of user eyes-opening images and eyes-closed images collected in the current time period; Determining the user's eyelid blinking frequency based on the number of the eye-open images and the number of the eye-closed images; When the eyelid blinking frequency does not fall within the preset blinking frequency range, the working state of the hyperbaric oxygen eye therapy device is adjusted to reduce the output oxygen pressure; The user's eyelid blinking frequency is re-determined in the next time period. When the eyelid blinking frequency falls within a preset blinking frequency range, the oxygen pressure corresponding to the current time period is used for treatment.

2. The device according to claim 1, characterized in that The processor is capable of: Comparing the eye state value with the eye reference data value; wherein different eye reference data values ​​correspond to different treatment data; When the eye status value satisfies any eye reference data value, the working status of the hyperbaric oxygen eye therapy device is adjusted according to the treatment data corresponding to any eye reference data value.

3. The device according to claim 2, characterized in that The processor is capable of: Determining the category of the eye status value; Determining corresponding cluster centers based on the categories of the eye status values; wherein different cluster centers correspond to different eye status levels; The classified eye state values ​​are clustered based on a K-nearest neighbor algorithm to obtain a plurality of eye state levels corresponding to the eye state values.

4. The device according to claim 3, characterized in that After obtaining the multiple eye state levels corresponding to the eye state values, the processor can further: Classifying and counting the multiple eye status levels to determine the number of values ​​corresponding to different levels; Based on the number of numerical values ​​after classification statistics, the corresponding treatment data is determined.

5. The device according to claim 1, characterized in that The processor is capable of: Inputting the eye image into a preset eye target prediction model, and marking a target position in the eye image by using the preset eye target prediction model; wherein the target position includes at least one of a pupil, an iris, and a sclera; The annotated eye image is input into a preset parameter value prediction model, and the eye state value of the target position is obtained through the preset parameter value prediction model.

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