CN114052654A - Dynamic eye health management system - Google Patents
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- CN114052654A CN114052654A CN202111348740.0A CN202111348740A CN114052654A CN 114052654 A CN114052654 A CN 114052654A CN 202111348740 A CN202111348740 A CN 202111348740A CN 114052654 A CN114052654 A CN 114052654A
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Abstract
The application discloses a dynamic eye health management system, comprising: the system comprises an image display module for acquiring user identity data, original eye use habit data, human vision and visual functions, an image detection module for acquiring human eye position eye images and diopter data, a biological parameter measurement module for acquiring eyeball biological parameters, a cloud storage module for packaging and storing the user eye use habit data, the human vision, the visual functions, the human eye position eye images, the diopter, the eyeball biological parameters and other data, and a manager terminal for acquiring diopter development trend and evaluating eye health conditions through big data mining modeling, machine training and machine learning; the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module and are all embedded in the human-computer interaction terminal. The method and the device improve the convenience of screening and monitoring the vision and the eye diopter, thereby forming a perfect children eye health management system.
Description
Technical Field
The application relates to the technical field of eye health management, in particular to a dynamic eye health management system.
Background
With the development and progress of society, the prevalence rate of myopia increases year by year, and is a common eye health problem in the world. China is a country with the highest prevalence rate of myopia in the world, the number of myopia people is approximately 7 hundred million, the myopia people are the first to live in the world, and the tendency that the overall cardinality is larger and the initial patients are younger and younger is shown. Myopia begins to appear in many children before school age, and the prevalence rate of myopia of children and teenagers is high and continuously increased, which becomes a significant problem in the future of related countries and nationalities.
The children and the teenagers develop good eye using habits in daily life, and the risk of myopia and possible damage can be reduced to a certain extent. Under the current medical level, myopia is an irreversible process, and the myopia degree of children and teenagers can grow for a long time in the development period, and the myopia growth rate of some children and teenagers can exceed 100 degrees every year, even reach two or three hundred degrees, until the mature stage of eyeball development from 18 to 20 years old. The problem that the myopia cannot be cured at present, only the myopia can be prevented and controlled, the risk that the myopia progresses to high myopia or even pathological myopia is required to be fully known by children, teenagers and parents of the children, and a series of problems caused by the myopia are required to be fully known. Therefore, myopia prevention and control is from the beginning, and never starts with children with myopia. The health propaganda and education work in the aspects of protecting eyes of children and teenagers and preventing myopia and the like is enhanced, and the measures of prevention as a main measure and prevention and control are combined.
According to relevant regulations, at least two visual function screenings are required per year for national children and adolescents. However, the screening devices such as the existing optometry instruments cannot realize the long-term high-frequency screening function due to the problems of limited inspection environment, time-consuming inspection, high operation difficulty and the like, so that some eyesight problems of children and teenagers cannot be found in time and effective intervention is given, and the optimal intervention opportunity is missed. From the clinical perspective, the vision problems of children and teenagers cannot be detected in time by the twice-a-year screening frequency. Half a year or less is enough for a pseudomyopia child to develop true myopia, and a normal-vision child to develop myopia, even middle-high myopia. Therefore, a high-frequency and rapid visual function screening mode is established, high-frequency and high-precision visual function screening is realized, and the method is very necessary for understanding and preventing the occurrence and development of nationwide children and teenagers.
Disclosure of Invention
The application aims to provide a dynamic eye health management system, and convenience in screening and monitoring vision and eye diopter is improved, so that a perfect children eye health management system is formed.
To achieve the above object, the present application provides a dynamic eye health management system comprising: the system comprises an image display module, a cloud storage module, an administrator terminal, an image display module, an image detection module, a human eye vision and visual function acquisition module, an image detection module, an eyeball biological parameter measurement module, a cloud storage module, an administrator terminal and an eye health condition evaluation module, wherein the image display module is used for acquiring user identity data, original eye use habit data, human eye vision and visual function, the image detection module is used for acquiring human eye position eye images and diopter data, the biological parameter measurement module is used for packaging and storing data such as user eye use habit data, human eye vision, visual function, human eye position eye images, diopter and eyeball biological parameters, the administrator terminal is used for acquiring diopter development trend and evaluating eye health condition through big data mining modeling, machine training and machine learning, the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module, and the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module, And the administrator terminals are all embedded in the human-computer interaction terminal.
Preferably, the image display module comprises a display unit for displaying data, an input unit for inputting data by a user, and an information acquisition unit for acquiring the identity and the eye habit of the user, and the display unit, the input unit and the information acquisition unit are connected with each other.
Preferably, the method for uploading the eye habit data by the user through the image display module specifically comprises the following steps: inputting identity information in an input frame displayed on the display unit through the input unit; the eye use habit data are input into the selection pointing frame displayed on the display unit through the input unit, and the eye use habit data at least comprise the use duration of the electronic product, the use interval time of the electronic product, the feeling of acerbity after eyes are used and the sitting posture when eyes are used.
Preferably, the image display module comprises a vision screening unit for detecting vision data and a visual function measuring unit for detecting visual function data of human eyes, the vision screening unit and the visual function measuring unit are respectively connected with the input unit, and the input unit reads detection results of the vision screening unit and the visual function measuring unit and synchronizes the detection results to the information acquisition unit.
Preferably, the image detection module and the biological parameter measurement module are respectively connected with the input unit, and the input unit reads the detection results of the image detection module and the biological parameter measurement module and synchronizes the detection results to the information acquisition unit.
Preferably, the human-computer interaction terminal is further embedded with an attendance module for identifying the identity of the user and checking attendance and a temperature measurement module for detecting the body temperature of the user, and the attendance module and the temperature measurement module are both connected with the administrator terminal.
Preferably, the administrator terminal is provided with a multi-dimensional data system; the multidimensional data system comprises a meta-analysis and extraction of various biometric parameter data of human eyes and eyes based on the existing documents, a big data mining and building of a Chinese child teenager diopter and eye biometric parameter mean value database, Chinese child teenager model eye data, a Chinese child teenager eye position, eye refraction medium definition, cornea and retina image database and an eye health care expert knowledge database.
Preferably, the dynamic eye health management system further comprises an eye health plan customizing module connected with the administrator terminal, and the administrator terminal analyzes and obtains an eye health plan adapted to the user according to the multi-dimensional data system and feeds the eye health plan back to the user through the human-computer interaction terminal.
Preferably, the predicting of the eye diopter development trend specifically includes the following steps: s1, carrying out multi-dimensional data acquisition through a clinical myopia prevention and control clinic to establish a data warehouse and carry out data management; s2, comparing the treated data with the data of the biological measurement parameters of the eyes and eyes, the Chinese children juvenile diopter and eye biological measurement parameter mean value database and the Chinese children juvenile model eye data in the right 8 by using machine learning to train to form an eye diopter development trend prediction model; s3, establishing an eye position evaluation model, an eye refractive medium definition evaluation model, a cornea irregularity evaluation model and a retinopathy evaluation model by utilizing a deep learning algorithm based on the eye position, the eye refractive medium definition and the cornea and retina image database of the Chinese children and teenagers; s4, outputting an eye diopter development trend prediction result and an eye health condition evaluation result; s5, according to the output result of S4, the eye care plan customizing module compares the output result with the eye care expert knowledge database, analyzes and obtains the eye care plan suitable for the user, and feeds back the eye care plan to the user through the human-computer interaction terminal.
Has the advantages that: the utility model provides a developments eyes health management system, data such as collection user is with eye habit data, human eye vision, visual function, human eye position eye image, diopter, eyeball biological parameter, combine the database of establishing to compare and acquire user's diopter development trend and aassessment user eye health status, through the high frequency, swift visual function screening mode, realize the high frequency, the visual function screening of high accuracy, it is swift to use, it is convenient, remind head of the family and medical staff to make in time intervention to the bad development trend of children's eye, prevent children's myopia effectively.
Furthermore, through the formulation of a health care plan, a scientific intervention means is provided for the user to intervene in the eye discomfort development trend of the children, and the eye discomfort development trend of the children is effectively slowed down and improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of the operation of the system in an embodiment of the present application;
FIG. 2 is a flow chart of the multi-dimensional data hierarchy establishment in the embodiment of the present application;
FIG. 3 is a diagram of a system architecture in an embodiment of the present application;
fig. 4 is a flowchart illustrating the principles of the ocular refraction trend prediction, ocular health assessment, and ocular health plan customization in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
A dynamic eye health management system, as shown in fig. 1, comprising: an image display module for acquiring user identity data, original eye habit data, human vision and visual function, an image detection module for acquiring eye images and diopter data of human eyes, a biological parameter measurement module for acquiring biological parameters of the human eyes, a cloud storage module used for packaging and storing data such as eye habit data of a user, human vision, visual function, eye position and eye image of human eyes, diopter, eyeball biological parameters and the like, an administrator terminal for obtaining diopter development trend and evaluating eye health condition through big data mining modeling, machine training and machine learning, the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module, the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are all embedded in the human-computer interaction terminal. The dynamic eye health management system also comprises an eye health plan customizing module connected with the administrator terminal, wherein the administrator terminal analyzes and obtains the eye health plan suitable for the user according to the multidimensional data system and feeds the eye health plan back to the user through the human-computer interaction terminal.
The man-machine interaction terminal can be any one of the prior arts, and the basic mechanical architecture thereof comprises a display, a host, a corresponding key module and the like.
In one embodiment, the image display module comprises a display unit for displaying data, an input unit for inputting data by a user, and an information acquisition unit for acquiring the identity and the eye habit of the user, wherein the display unit, the input unit and the information acquisition unit are connected with each other; the vision screening unit and the vision function measuring unit are respectively connected with the input unit, and the input unit reads detection results of the vision screening unit and the vision function measuring unit and synchronizes to the information acquisition unit. The image detection module and the biological parameter measurement module are respectively connected with the input unit, and the input unit reads the detection results of the image detection module and the biological parameter measurement module and synchronizes the detection results to the information acquisition unit.
In this embodiment, the method for uploading the eye habit data by the user through the image display module specifically includes the following steps:
t1-entering identity information in an input box displayed on the display unit through the input unit;
t2-inputting the eye use habit data in the selection frame displayed on the display unit through the input unit, wherein the eye use habit data at least comprises the use duration of the electronic product, the use interval time of the electronic product, the feeling of acerbity after eyes use and the sitting posture when eyes use.
As a preferred implementation manner of this embodiment, the human-computer interaction terminal is further embedded with an attendance module for identifying the identity of the user and checking attendance and a temperature measurement module for detecting the body temperature of the user, both the attendance module and the temperature measurement module are connected to the administrator terminal, and both the attendance module and the temperature measurement module can be any one of the modules in the prior art and are used for checking attendance and measuring the temperature of the user, so as to realize the multi-functionalization of the system.
The diopter development trend of the user is obtained, the eye health condition of the user is evaluated, and meanwhile, in order to improve the reliability of a detection result, a multi-dimensional data system is established in the administrator terminal. With reference to fig. 2, the multidimensional data system includes meta-analysis based on the existing literature to extract the data of each biometric parameter of the eyes and eyes, big data mining and establishing a database of the average values of the diopter and the ocular biometric parameters of the children and the juveniles in China, a database of the model eye data of the children and the juveniles in China, a database of the positions of the eyes, the diopter medium definition of the eyes, a database of the cornea and the retina image of the children and a database of the knowledge of the eye care experts.
In one embodiment, the method for measuring the diopter of the eye of the user, as described in the chinese patent publication No. CN201710834145.5, in combination with the dynamic eye health management system of the present embodiment, may be, but is not limited to:
(1) acquiring a near point face image of a user through an image display module and an image detection module;
(2) calculating the on-image diameter of the iris in the obtained near-point facial image;
(3) calculating the monocular near-point visual range according to the on-image diameter of the iris corresponding to the near-point facial image;
(5) calculating near point diopter according to the near point sight distance, and judging the state of the eyes of the user according to the calculation result of the near point diopter and the adjustment amplitude; when the sum of the near point diopter and the adjusting amplitude is less than zero, the eye is a myopic eye and enters a myopic diopter calculation process; when the sum of the near point diopter and the adjusting amplitude is larger than zero, the eyes are hyperopic eyes and enter a hyperopic diopter calculation process; when the sum of the near point diopter and the accommodation amplitude is zero, the eyes are emmetropic eyes;
(6) acquiring a far point face image of a user through an image display module and an image detection module;
(7) calculating the on-image diameter of the iris in the far-point facial image;
(8) calculating the far point visual range of a single eye according to the on-image diameter of the iris corresponding to the far point facial image;
(9) and calculating the myopia diopter according to the distance vision distance, wherein the myopia diopter is- (1/distance vision distance).
With the above description of the dynamic eye health management system, in the present embodiment, as shown in fig. 3, the architecture diagram of the system may include the following: the system comprises a user layer, a presentation layer, an application layer and an application support layer.
Specifically, the method comprises the following steps: the user layer comprises children, teenagers, parents and medical staff. The display layer comprises a human-computer interaction terminal and an administrator terminal, and preferably further comprises a mobile phone terminal through a communication protocol in the prior art, and the application layer comprises an image display function application, an image detection function application, a cloud storage module, an attendance module, a temperature measurement module, a prediction function application, an evaluation function application and a health care ordering function application. The application support layer comprises a display function, an input function and an information acquisition function.
Through the establishment of a multi-dimensional data system and with reference to fig. 4, the prediction of the eye diopter development trend specifically comprises the following steps:
s1, carrying out multi-dimensional data acquisition through a clinical myopia prevention and control clinic to establish a data warehouse and carry out data management;
s2, comparing the treated data with the data of the biological measurement parameters of the eyes and the eyes, the diopter and eye biological parameter mean value database of the Chinese children and the teenagers and the eye data of the Chinese children and the teenagers model in the right 8 by using machine learning to train and form an eye diopter development trend prediction model;
s3, establishing an eye position evaluation model, an eye refractive medium definition evaluation model, a cornea irregularity evaluation model and a retinopathy evaluation model by utilizing a deep learning algorithm based on the eye position, the eye refractive medium definition and the cornea and retina image database of the Chinese children and teenagers;
s4, outputting an eye diopter development trend prediction result and an eye health condition evaluation result;
s5, according to the output result of S4, the eye care plan customizing module compares the output result with the eye care expert knowledge database, analyzes and obtains the eye care plan suitable for the user, and feeds back the eye care plan to the user through the human-computer interaction terminal.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (9)
1. A dynamic eye health management system, comprising: the system comprises an image display module, a cloud storage module, an administrator terminal, an image display module, an image detection module, a human eye vision and visual function acquisition module, an image detection module, an eyeball biological parameter measurement module, a cloud storage module, an administrator terminal and an eye health condition evaluation module, wherein the image display module is used for acquiring user identity data, original eye use habit data, human eye vision and visual function, the image detection module is used for acquiring human eye position eye images and diopter data, the biological parameter measurement module is used for packaging and storing data such as user eye use habit data, human eye vision, visual function, human eye position eye images, diopter and eyeball biological parameters, the administrator terminal is used for acquiring diopter development trend and evaluating eye health condition through big data mining modeling, machine training and machine learning, the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module, and the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module, And the administrator terminals are all embedded in the human-computer interaction terminal.
2. The dynamic eye health management system of claim 1, wherein the image display module comprises a display unit for displaying data, an input unit for user entry of data, and an information acquisition unit for acquiring user identity and eye usage habits, the display unit, the input unit, and the information acquisition unit being interconnected.
3. The dynamic eye health management system of claim 2, wherein the method for uploading the eye habit data by the user via the image display module specifically comprises the steps of:
inputting identity information in an input frame displayed on the display unit through the input unit; the eye use habit data are input into the selection pointing frame displayed on the display unit through the input unit, and the eye use habit data at least comprise the use duration of the electronic product, the use interval time of the electronic product, the feeling of acerbity after eyes are used and the sitting posture when eyes are used.
4. The dynamic eye health management system according to claim 2 or 3, wherein the image display module comprises a vision screening unit for detecting vision data and a visual function measuring unit for detecting visual function data of human eyes, the vision screening unit and the visual function measuring unit are respectively connected with the input unit, and the input unit reads the detection results of the vision screening unit and the visual function measuring unit and synchronizes to the information acquisition unit.
5. The dynamic eye health management system of claim 2 or 3, wherein the image detection module and the biological parameter measurement module are respectively connected to the input unit, and the input unit reads the detection results of the image detection module and the biological parameter measurement module and synchronizes to the information acquisition unit.
6. The dynamic eye health management system of claim 1, wherein the human-computer interaction terminal further comprises an attendance module embedded therein for identifying the identity of the user and checking attendance, and a temperature measurement module for detecting the body temperature of the user, and the attendance module and the temperature measurement module are both connected to the administrator terminal.
7. The dynamic eye health management system of claim 1, wherein the administrator terminal is provided with a multidimensional data hierarchy; the multidimensional data system comprises a meta-analysis and extraction of each biological parameter data of human eyes and eyes based on the existing literature, a big data mining and building of a Chinese child teenager diopter and eye biological parameter mean value database, Chinese child teenager model eye data, a Chinese child teenager eye position, eye refraction medium definition, cornea and retina image database and an eye health care expert knowledge database.
8. The dynamic eye health management system of claim 7, further comprising an eye health plan customization module coupled to the administrator terminal, wherein the administrator terminal analyzes and obtains an eye health plan adapted to the user according to the multidimensional data system, and feeds back the eye health plan to the user through the human-computer interaction terminal.
9. The dynamic eye health management system of claim 8, wherein the eye diopter progression trend prediction specifically comprises the steps of:
s1, carrying out multi-dimensional data acquisition through a clinical myopia prevention and control clinic to establish a data warehouse and carry out data management;
s2, comparing the treated data with the data of the biological measurement parameters of the eyes and eyes, the Chinese children juvenile diopter and eye biological measurement parameter mean value database and the Chinese children juvenile model eye data in the right 8 by using machine learning to train to form an eye diopter development trend prediction model;
s3, establishing an eye position evaluation model, an eye refractive medium definition evaluation model, a cornea irregularity evaluation model and a retinopathy evaluation model by utilizing a deep learning algorithm based on the eye position, the eye refractive medium definition and the cornea and retina image database of the Chinese children and teenagers;
s4, outputting an eye diopter development trend prediction result and an eye health condition evaluation result;
s5, according to the output result of S4, the eye care plan customizing module compares the output result with the eye care expert knowledge database, analyzes and obtains the eye care plan suitable for the user, and feeds back the eye care plan to the user through the human-computer interaction terminal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114469663A (en) * | 2022-03-24 | 2022-05-13 | 河南护眼优品实业有限公司 | Intelligent training method and device for preventing and controlling eyesight improvement |
| CN114788682A (en) * | 2022-06-27 | 2022-07-26 | 华慧健(天津)科技有限公司 | Portable intelligent eye health management system based on eye and face feature image processing |
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2021
- 2021-11-15 CN CN202111348740.0A patent/CN114052654A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114469663A (en) * | 2022-03-24 | 2022-05-13 | 河南护眼优品实业有限公司 | Intelligent training method and device for preventing and controlling eyesight improvement |
| CN114469663B (en) * | 2022-03-24 | 2023-09-05 | 河南护眼优品实业有限公司 | Intelligent training method and device for preventing and controlling vision enhancement |
| CN114788682A (en) * | 2022-06-27 | 2022-07-26 | 华慧健(天津)科技有限公司 | Portable intelligent eye health management system based on eye and face feature image processing |
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