CN107358036A - A kind of child myopia Risk Forecast Method, apparatus and system - Google Patents
A kind of child myopia Risk Forecast Method, apparatus and system Download PDFInfo
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- 208000001491 myopia Diseases 0.000 title claims abstract description 170
- 230000004379 myopia Effects 0.000 title claims abstract description 158
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000001514 detection method Methods 0.000 claims abstract description 74
- 230000004438 eyesight Effects 0.000 claims abstract description 65
- 230000004304 visual acuity Effects 0.000 claims abstract description 63
- 230000003287 optical effect Effects 0.000 claims description 20
- 238000000611 regression analysis Methods 0.000 claims description 18
- 230000008859 change Effects 0.000 claims description 15
- 230000001537 neural effect Effects 0.000 claims description 14
- 230000037396 body weight Effects 0.000 claims description 9
- 230000004323 axial length Effects 0.000 claims description 7
- 238000005457 optimization Methods 0.000 claims description 7
- 238000012360 testing method Methods 0.000 description 14
- 230000004402 high myopia Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 230000035479 physiological effects, processes and functions Effects 0.000 description 9
- 230000006870 function Effects 0.000 description 7
- 230000003068 static effect Effects 0.000 description 6
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- 238000003860 storage Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
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- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 230000007935 neutral effect Effects 0.000 description 3
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- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000000205 computational method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000004340 degenerative myopia Effects 0.000 description 1
- 208000001309 degenerative myopia Diseases 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Abstract
A kind of child myopia Risk Forecast Method of present invention offer, apparatus and system, methods described, including：Obtain the current detection data and physical signs value of user's eyesight；According to the current detection data and/or the physical signs value, using potential visual acuity model, the risks of myopia of the user is predicted.By the current detection data and physical signs value that obtain user's eyesight, further according to current detection data and/or physical signs value, using potential visual acuity model, the risks of myopia of user can be predicted, and then the parent of user and user can be made to understand the risks of myopia of eyes of user in time, prevented in advance or treated.
Description
Technical field
The present invention relates to near-sighted electric powder prediction, and in particular to a kind of child myopia Risk Forecast Method, device and is
System.
Background technology
Myopia refers to eyes in the case where adjusting relaxation state, and parallel rays (5 meters outer) is after eye refraction device, in retina
The optical states of focus are formed before.Myopia is also referred to as short-sighted eye, and this eye, which can only be seen clearly, can not nearby see clearly at a distance.From unlimited
The directional light come at a distance assembles focus before retina, then tied on the retina after the refractive apparatus refractive power of eye
Into unclear as distant vision substantially reduces, but near vision is still normal.
In recent years, Shortsightedness prevalence rises violently, and crowd's ratio of myopia constantly increases.At present, Chinese child myopia hair
Sick rate occupies the whole world first, myopia morbidity becomes younger and the raising of pathological myopia rate has become in recent years more than 70%
Two big changes of Chinese children myopia.Since primary school five, six grades, child morbidity rate substantially rises.Therefore, suitably to youngster
Virgin risks of myopia is predicted, and parent can be made to become more apparent upon the eye eyesight situation of children, and then can preferably be prevented near
Depending on.The factors such as generation and the h and E of myopia are relevant, in the prior art, can't accomplish to the pre- of risks of myopia
Survey.
The content of the invention
For drawbacks described above of the prior art, the invention provides a kind of child myopia Risk Forecast Method, device and
System, accurately child myopia risk can be predicted.
In a first aspect, a kind of child myopia Risk Forecast Method provided by the invention, including：
Obtain the current detection data and physical signs value of user's eyesight；
According to the current detection data and/or the physical signs value, using potential visual acuity model, the user is predicted
Risks of myopia.
Optionally, the current detection data, including：One in the dioptric optical value of current detection, axiallength, eyesight value
Kind is a variety of.
Optionally, the physical signs value, including：One or more physiology in age, height, body weight, father and mother's eyesight
Desired value.
Optionally, the current detection data are the dioptric optical value of current detection；
According to the current detection data and/or the physical signs value, using potential visual acuity model, the user is predicted
Risks of myopia, including：
According to the dioptric optical value and/or the physical signs value, using potential visual acuity model, predict that the user's is near
Apparent wind danger.
Optionally, according to the current detection data and/or the physical signs value, using potential visual acuity model, in advance
Before the step of surveying the risks of myopia of the user, in addition to：
Obtain the sample data of different age group children's vision；
According to the sample data, using regression analysis and/or neural net method, potential visual acuity model is established.
Optionally, after potential visual acuity model is established, in addition to：
The real-time sample data of different age group children's vision is obtained in real time；
According to the real-time sample data, using regression analysis and/or neural net method, regarded described in real-time optimization
Power forecast model.
Optionally, in addition to：
Obtain eye-using environment index of the user at the appointed time in section；
According to the eye-using environment index and the risks of myopia, the situation of change of the risks of myopia is predicted.
Optionally, in addition to：
According to the risks of myopia, the suggestion for improving risks of myopia is obtained.
Second aspect, a kind of child myopia risk profile device provided by the invention, including：
Data obtaining module, for obtaining the current detection data and physical signs value of user's eyesight；
Potential visual acuity module, for according to the current detection data and/or the physical signs value, using potential visual acuity
Model, predict the risks of myopia of the user.
Optionally, the current detection data, including：One in the dioptric optical value of current detection, axiallength, eyesight value
Kind is a variety of.
Optionally, the physical signs value, including：One or more physiology in age, height, body weight, father and mother's eyesight
Desired value.
Optionally, the current detection data are the dioptric optical value of current detection；
The potential visual acuity module, is specifically used for：
According to the dioptric optical value and/or the physical signs value, using potential visual acuity model, predict that the user's is near
Apparent wind danger.
Optionally, described device, in addition to：
Sample data acquisition module, for obtaining the sample data of different age group children's vision；
Model building module, for according to the sample data, using regression analysis and/or neural net method,
Establish potential visual acuity model.
Optionally, described device, in addition to：
Real time data acquisition module, for obtaining the real-time sample data of different age group children's vision in real time；
Optimized model module, for according to the real-time sample data, using regression analysis and/or neutral net side
Method, potential visual acuity model described in real-time optimization.
Optionally, described device, in addition to：
Eye-using environment detection module, for obtaining eye-using environment index of the user at the appointed time in section；
Risk variation prediction module, for according to the eye-using environment index and the risks of myopia, predicting the myopia
The situation of change of risk.
Optionally, described device, in addition to：
It is recommended that module is provided, for according to the risks of myopia, obtaining the suggestion for improving risks of myopia.
The third aspect, the invention provides a kind of child myopia Risk Forecast System, including：First client, the second visitor
Family end and service end；
First client is connected with second client, and second client is connected with the service end；
First client is used for the eye-using environment index for detecting children, and the eye-using environment index is sent into institute
State the second client；
Second client is used to refer to the eye-using environment index and current detection data and/or physiology of children
Mark is sent to the service end；
The service end is used to be referred to according to the eye-using environment index and the current detection data and/or the physiology
Mark, predicts the risks of myopia of children and the situation of change of risks of myopia, and prediction result is sent into second client.
From above technical scheme, the present invention provides a kind of child myopia Risk Forecast Method, including：User is obtained to regard
The current detection data and physical signs value of power；According to the current detection data and/or the physical signs value, using eyesight
Forecast model, predict the risks of myopia of the user.By obtaining the current detection data and physical signs value of user's eyesight, then
According to current detection data and/or physical signs value, using potential visual acuity model, the risks of myopia of user can be predicted, is entered
And the parent of user and user can be made to understand the risks of myopia of eyes of user in time, prevented in advance or treated.
A kind of child myopia risk profile device and system provided by the invention, with above-mentioned child myopia Risk Forecast Method
For identical inventive concept, there is identical beneficial effect.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical scheme of the prior art
The required accompanying drawing used is briefly described in embodiment or description of the prior art.In all of the figs, similar element
Or part is typically identified by similar reference.In accompanying drawing, each element or part might not be drawn according to the ratio of reality.
Fig. 1 shows that first embodiment of the invention provides a kind of flow chart of child myopia Risk Forecast Method；
Fig. 2 shows that second embodiment of the invention provides a kind of schematic diagram of child myopia risk profile device；
Fig. 3 shows that third embodiment of the invention provides a kind of schematic diagram of child myopia Risk Forecast System.
Embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with accompanying drawing.Following examples are only used for
Clearly illustrate technical scheme, therefore be intended only as example, and the protection of the present invention can not be limited with this
Scope.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
The invention provides a kind of child myopia Risk Forecast Method, apparatus and system.Below in conjunction with the accompanying drawings to the present invention
Embodiment illustrate.
First embodiment：
Fig. 1 shows a kind of flow chart for child myopia Risk Forecast Method that first embodiment of the invention is provided.Such as
Shown in Fig. 1, a kind of child myopia Risk Forecast Method that first embodiment of the invention provides comprises the following steps：
Step S101：Obtain the current detection data and physical signs value of user's eyesight；
Step S102：According to the current detection data and/or the physical signs value, using potential visual acuity model, in advance
Survey the risks of myopia of the user.
Wherein, the current detection data, can include：The dioptric optical value of current detection eyes of user, axiallength, regard
One or more in force value etc..The physical signs value, can include：Refer to the physiology such as age, height, body weight, father and mother's eyesight
One or more physical signs values in index.
By obtaining the current detection data and physical signs value of user's eyesight, further according to current detection data and/or life
Desired value is managed, using potential visual acuity model, the risks of myopia of user can be predicted, enable the parent of user and user timely
Understand the risks of myopia of eyes, and then prevented in advance or treated.Wherein, user is 3-12 year children.
In a specific embodiment provided by the invention, refer to according to the current detection data and/or the physiology
Scale value, using potential visual acuity model, before the step of predicting the risks of myopia of the user, in addition to：Obtain different age group
The sample data of children's vision；According to the sample data, using regression analysis and/or neural net method, foundation regards
Power forecast model.
Eyesight progress risks of myopia prediction to user has a variety of methods, and the present invention mainly introduces following several method：
The first：According to the current detection data of user, using potential visual acuity model, the risks of myopia of user is predicted.
Wherein, it is necessary to establish potential visual acuity model before being predicted.Firstly, it is necessary to obtain different age group children
The sample data of eyesight；Wherein, the sample data refers to the different age group eyesight corresponding with the current detection data
One or more indexs in eyesight the detection data, including the Testing index such as diopter, axiallength, eyesight value of normal child
Value.Then, further according to the sample data, using regression analysis and/or neural net method, each Testing index is established
Normal development curve, the normal development curve is according to child age section and the mark in each Testing index value of each age
Quasi- value generation, abscissa is age bracket, and ordinate is the standard value of Testing index value.
The threshold value of each Testing index value is set further according to different age group, in different age group, the threshold value with it is described
Certain allowable error between standard value be present.The sum total of the normal development curve and each Testing index of different age group
Allowable error and prediction logic form potential visual acuity model.
Prediction logic is：When user current detection data with the absolute value of corresponding standard value difference in allowable error scope
It is interior, then it represents that this Testing index is normal；When the current detection data of user with the absolute value of corresponding standard value difference beyond fair
Perhaps error range, then it represents that this Testing index is abnormal.When every Testing index is all normal, prediction user does not have near-sighted wind
Danger；When every Testing index is all abnormal or has part Testing index abnormal, then according to the weight of every Testing index
Determine the risks of myopia of user.
In the present invention, diopter predominantly detects index for prediction risks of myopia.When other Testing index all do not obtain
When taking, the risks of myopia of user can be directly predicted with diopter.It is this, it is directly very fast using diopter prediction risks of myopia
It is prompt easy, but the accuracy Billy predicted predicts that the accuracy of risks of myopia is low with multiple Testing index.
For example, at 6 years old, the absolute value of the allowable error of children's diopter is the 20% of standard value, then when user is current
When the dioptric optical value of detection exceeds 20% with the absolute value of standard value difference, risks of myopia early warning can be shown；If without departing from can
It is normal to show.Because the diopter of normal child is all greater than zero, when the dioptric optical value of current detection is less than zero
When, then show that the eyes of children are near-sighted, user consulting profession oculist as early as possible can be prompted.
Second：According to the physical signs value of user, using potential visual acuity model, the risks of myopia of user is predicted.
, it is necessary to establish potential visual acuity model before being predicted.Firstly, it is necessary to obtain different age group children's vision
Sample data.Wherein, the sample data refers to the physical signs value of different age group normal visual acuity children.The physical signs
Value refers to one or more information in the physical signs values such as age, height, body weight, father and mother's eyesight.Further according to the sample
Data, using regression analysis and/or neural net method, establish potential visual acuity model.
When establishing model, the body quality that children can be calculated according to the height and body weight of different normal visual acuity children refers to
Number (BMI, Body Mass Index), further according to the one or more in the body-mass index, age, father and mother's eyesight etc.,
And the eyesight of corresponding normal child establishes evaluation relation, the evaluation relation is potential visual acuity model, according to the evaluation
Relation can predict the eyesight risk of user.
, can be according to the body-mass index of user, age, father and mother's eyesight etc. when being predicted to user's eyesight risk
In one or more predict the risks of myopia of user.
For example, when being predicted to user's eyesight risk, it can calculate user's according to the height and body weight of user
Body-mass index, while the risks of myopia of user is predicted according to the current age section of user.When user is in same age bracket
It is low risks of myopia when body-mass index is average in child；As user, body-mass index is super in same age bracket children
During weight, to there is near-sighted tendency；When body-mass index is fat to user in same age bracket children, to there is risks of myopia.
For example, if it is known that father and mother's eyesight, then have to draw a conclusion：If father and mother both sides do not have high myopia, the user is
Low risks of myopia；If it is high myopia that father and mother, which have a side, the user has near-sighted tendency；If father and mother both sides are high myopia,
Then the user is to have risks of myopia.
For example, if it is known that the body-mass index of user, age, father and mother's eyesight, then have to draw a conclusion：If the side of father and mother one does not have
There are high myopia, the current normal visual acuity of user, without risks of myopia.If the side's high myopia of father and mother one, and body-mass index is
Average, then user there is high risks of myopia.If the side of father and mother one does not have high myopia, and body-mass index is overweight, then has certain
Risks of myopia.If the side's high myopia of father and mother one, and body-mass index is overweight, then has high risks of myopia.If the side of father and mother one does not have
High myopia, and body-mass index is fat, then has high myopia risk.If the side of father and mother one has high myopia, and body quality
Index is fat, then has high myopia risk.
The third：According to the current detection data and physical signs value of user, using potential visual acuity model, predict user's
Risks of myopia.
, it is necessary to establish potential visual acuity model before being predicted.Firstly, it is necessary to obtain different age group children's vision
Sample data.Wherein, sample data refers to the different age group normal visual acuity children's corresponding with the current detection data
Eyesight detects data and physical signs value.Then, according to sample data, using regression analysis and/or neural net method,
Establish potential visual acuity model.
Wherein, potential visual acuity model is divided into the first potential visual acuity model and the second potential visual acuity model.First eyesight
Forecast model is the potential visual acuity model in first method, and the second potential visual acuity model is the potential visual acuity in second method
Model.When at least one model prediction has near-sighted wind to user in the first potential visual acuity model and the second potential visual acuity model
Danger, then judge that user has risks of myopia.Wherein there is a model to judge user for high risks of myopia, then user has high near-sighted wind
Danger.
In the present invention, three kinds of schemes are all within the scope of the present invention.The risks of myopia phase of the third method prediction
It is more accurate compared with first two.
In above-mentioned three kinds of methods, after potential visual acuity model is established, it can also include：Different age group is obtained in real time
The real-time sample data of children's vision；According to the real-time sample data, using regression analysis and/or neutral net side
Method, potential visual acuity model described in real-time optimization.
When getting user's current detection data and physical signs value, the current detection data and physiology can be referred to
Scale value is stored, and the data of storage are added in potential visual acuity model in real time, and then to model real-time optimization.Pass through reality
Shi Youhua potential visual acuity models, prediction result can be made more accurate.
In a specific embodiment provided by the invention, it can also include：The user is obtained at the appointed time in section
Eye-using environment index；According to the eye-using environment index and the risks of myopia, the situation of change of the risks of myopia is predicted.
Wherein, the eye-using environment index can include：Between outdoor light application time and indoor static are used at the moment.Eye-using environment
Index can be calculated from basic environment index and obtained.Basic environment index can include illuminance index, run duration and sleep
State.The illuminance index mainly includes：Intensity of illumination, blue light strength and ultraviolet ray intensity.Wherein, the specified time section
It can be one day or one week, this is all within the scope of the present invention.
Run duration refers to the time under multi-motion state when user is in non-sleep state.Motion state includes root
The motion state for calculating and estimating according to sensing data.Such as：Quiet reading state, light exercise state, medium and violent fortune
Dynamic state etc..Run duration is the accumulated time according to the classified calculating of exercise intensity.
Blue light strength includes user indoors or outdoor blue light strength.
Ultraviolet ray intensity includes user indoors or outdoor ultraviolet ray intensity.
Computational methods between indoor static is used at the moment have various ways, and a kind of preferable calculating standard is：Intensity of illumination is small
In 800Lux, ultraviolet ray intensity 0, and motion state to be quiet the non-sleep accumulation peace and quiet time.
The computational methods of outdoor light application time have various ways, and a kind of preferable calculating standard is：Illuminance is more than
800Lux, ultraviolet ray intensity are not 0 cumulative motion time.
When between calculating indoor static being used at the moment with outdoor light application time, wherein, 800Lux is preferred value, is not unique
Value or 1000Lux.
When user's dioptroscopy has risks of myopia or has hereditary risks of myopia, outdoor light application time reaches default finger
Mark, indoor static between at the moment not less than pre-set level, then during risks of myopia reduces.
When user's dioptroscopy has risks of myopia or has hereditary risks of myopia, outdoor light application time is not up to default to be referred to
Mark, indoor static exceedes pre-set level between using at the moment, then in risks of myopia increase.
When user's dioptroscopy without risks of myopia also without there is hereditary risks of myopia, outdoor light application time reaches default finger
Mark, indoor static is with not less than pre-set level, then risks of myopia maintains reduced levels between at the moment.
Wherein, the preset range of outdoor light application time can be for：5-10 hours.The preset range can be with reference to state
The preset time period or divided according to regression analysis and/or neural net method that the run duration of border standard obtains
Analyse obtained preset time period.
In the present invention, the situation of change of the risks of myopia of user can also according to the length of one's sleep of user, be predicted.
The length of one's sleep is also one kind in eye-using environment index.
If the prediction result before user is no risks of myopia, and the length of one's sleep of the user within a nearest week is not
It is enough, then predict that user has risks of myopia.
If user has risks of myopia, and the length of one's sleep of the user within a nearest week is sufficient, then predicts user's myopia
Risk reduces.
If the prediction result before user is no risks of myopia, and the user fills the length of one's sleep within a nearest week
Foot, then the user does not have risks of myopia.
In the present invention, when the body-mass index of user is compared with standard value, for it is exceeded when, and weekly or daily move
Time is inadequate, then predicts risks of myopia increase.
When the body-mass index of user is compared with standard value, for it is exceeded when, and when moving sufficient, then predict risks of myopia
Reduce.
Wherein, the standard value can be determined according to the international standard of corresponding children's torso performance figure (BMI)
Value or the standard value obtained according to regression analysis and/or Analysis of Neural Network Method.
In a specific embodiment provided by the invention, it can also include：According to user's at the appointed time use in section
The situation of change of ocular environment index, predict the risks of myopia of user.
Wherein, the specified time section can be three months, one kind in half a year, 1 year etc..
At the appointed time if at least one of eye-using environment index in section index continues abnormal, prediction use to user
Family is high risks of myopia.
If eye-using environment index of the user at the appointed time in section is all normal, user does not have risks of myopia.
In a specific embodiment provided by the invention, it can also include：According to the risks of myopia, obtaining improves closely
The suggestion of apparent wind danger.
In this step, can be that the risks of myopia is sent to related doctor, related doctor is according to the near-sighted wind
Danger, providing some improves the suggestion of risks of myopia；, using neural net method, it can also return and divide according to the risks of myopia
The analysis of the methods of analysis method calculates, and calculates the suggestion for improving risks of myopia automatically by system, and this is all in the protection model of the present invention
In enclosing.
When user does not have risks of myopia, and eye-using environment index is up to standard, and the current risks of myopia of user is low, can suggest using
Family is checked after 6 months.
When user has risks of myopia, it can suggest that user increases outdoor activities, be checked after 3 months.
When user is high risks of myopia, it can suggest that user makes a definite diagnosis to ophthalmology as early as possible.
In the present invention, suggestion can also be provided the user according to the risks of myopia situation of change of user.
It when the risks of myopia increase of user, can suggest that user arrives ophthalmology further consultation as early as possible, and increase outdoor activities, ensure
The length of one's sleep and quality.
It when the risks of myopia of user reduces, can suggest that user goes ophthalmology further consultation in certain time, and ensure normal
Outdoor activities time and the length of one's sleep.
By providing the user with suggestion, user can be helped to reduce risks of myopia as far as possible.
Second embodiment：
In above-mentioned first embodiment, there is provided a kind of child myopia Risk Forecast Method, corresponding, this Shen
A kind of child myopia risk profile device is please also provided.Fig. 2 is refer to, it is a kind of children that second embodiment of the invention provides
The schematic diagram of risks of myopia prediction meanss.Because device embodiment is substantially similar to embodiment of the method, so describing simpler
Single, the relevent part can refer to the partial explaination of embodiments of method.Device embodiment described below is only schematical.
A kind of child myopia risk profile device that second embodiment of the invention provides, including：
Data obtaining module 101, for obtaining the current detection data and physical signs value of user's eyesight；
Potential visual acuity module 102, for according to the current detection data and/or the physical signs value, using eyesight
Forecast model, predict the risks of myopia of the user.
In a specific embodiment provided by the invention, the current detection data, including：The diopter of current detection
One or more in value, axiallength, eyesight value.
In a specific embodiment provided by the invention, the physical signs value, including：Age, height, body weight, father
One or more physical signs values in female eyesight.
In a specific embodiment provided by the invention, the current detection data are the dioptric optical value of current detection；
The potential visual acuity module 102, is specifically used for：
According to the dioptric optical value and/or the physical signs value, using potential visual acuity model, predict that the user's is near
Apparent wind danger.
In a specific embodiment provided by the invention, described device, in addition to：
Sample data acquisition module, for obtaining the sample data of different age group children's vision；
Model building module, for according to the sample data, using regression analysis and/or neural net method,
Establish potential visual acuity model.
In a specific embodiment provided by the invention, described device, in addition to：
Real time data acquisition module, for obtaining the real-time sample data of different age group children's vision in real time；
Optimized model module, for according to the real-time sample data, using regression analysis and/or neutral net side
Method, potential visual acuity model described in real-time optimization.
In a specific embodiment provided by the invention, described device, in addition to：
Eye-using environment detection module, for obtaining eye-using environment index of the user at the appointed time in section；
Risk variation prediction module, for according to the eye-using environment index and the risks of myopia, predicting the myopia
The situation of change of risk.
In a specific embodiment provided by the invention, described device, in addition to：
It is recommended that module is provided, for according to the risks of myopia, obtaining the suggestion for improving risks of myopia.
More than, a kind of embodiment explanation of the child myopia risk profile device provided for second embodiment of the invention.
A kind of child myopia risk profile device provided by the invention is with above-mentioned child myopia Risk Forecast Method for phase
Same inventive concept, has identical beneficial effect, here is omitted.
3rd embodiment：
Based on above-mentioned child myopia Risk Forecast Method and device, the present invention also provides a kind of child myopia risk profile system
System, refer to Fig. 3, and it is a kind of schematic diagram for child myopia Risk Forecast System that third embodiment of the invention provides.
A kind of child myopia Risk Forecast System that third embodiment of the invention provides, including：First client, the second visitor
Family end and service end；
First client is connected with second client, and second client is connected with the service end；
First client is used for the eye-using environment index for detecting children, and the eye-using environment index is sent into institute
State the second client；
Second client is used to refer to the eye-using environment index and current detection data and/or physiology of children
Mark is sent to the service end；
The service end is used to be referred to according to the eye-using environment index and the current detection data and/or the physiology
Mark, predicts the risks of myopia of children and the situation of change of risks of myopia, and prediction result is sent into second client.
Wherein, first client can be the Intelligent bracelet that children wear, and can detect children in real time uses eye thimble
Border index, and show the current eye-using environment of children.Second client can be the SmartClients such as mobile phone, ipad.Institute
Communication link can be carried out with first client by modes such as bluetooth, wireless network, 4G networks by stating the second client
Connect.The user of second client generally refers to custody of child people.Children in the present embodiment and first embodiment and
User in second embodiment is identical.
The user of second client can upload current detection data and the life of children to second client
Manage desired value.Second client can be sent the current detection data and physical signs value by wireless transmission method
To the service end.
The service end is stored with the computer program for performing the child myopia Risk Forecast Method, runs the calculating
Machine program, it is possible to the risks of myopia predicted.
In a specific embodiment provided by the invention, the current detection data, including：The diopter of current detection
One or more in value, axiallength, eyesight value.
In a specific embodiment provided by the invention, the physical signs value, including：Age, height, body weight, father
One or more physical signs values in female eyesight.
In a specific embodiment provided by the invention, the current detection data are the dioptric optical value of current detection；
The service end is used for according to the dioptric optical value and/or the physical signs value, using potential visual acuity model, predicts the use
The risks of myopia at family.
In a specific embodiment provided by the invention, the service end is additionally operable to obtain different age group children's vision
Sample data；And according to the sample data, using regression analysis and/or neural net method, establish potential visual acuity
Model.
After potential visual acuity model is established, the service end is additionally operable to obtain the reality of different age group children's vision in real time
When sample data；According to the real-time sample data, using regression analysis and/or neural net method, real-time optimization institute
State potential visual acuity model.
In a specific embodiment provided by the invention, the service end be additionally operable to according to the risks of myopia and/or
The situation of change of the risks of myopia, the suggestion for improving risks of myopia is obtained, and the suggestion is sent to second client
End.
In the present invention, second client can receive child myopia risk and the near-sighted wind that the service end is sent
The situation of change of danger；Second client can also receive the eye-using environment of the children of the first client transmission.
Wherein, second client can be shown in the form of block diagram, curve map, form etc. children risks of myopia,
Risks of myopia situation of change and eye-using environment.
In a specific embodiment provided by the invention, when the current detection data include dioptric optical value, institute
Server is stated to be additionally operable to, according to the dioptric optical value and/or the physical signs, using potential visual acuity model, judge the dioptric
Whether angle value is normal；And it will determine that result is sent to the second client.
Wherein, second client can show whether the diopter of children normal, and children's current detection bend
Relation between shading value and standard dioptric optical value.Second client can show above-mentioned relation by the form of curve map.
It is described when the current detection data include eyesight value in a specific embodiment provided by the invention
Server is additionally operable to according to the eyesight value and/or the physical signs, using potential visual acuity model, judges that the eyesight value is
It is no normal；And it will determine that result is sent to the second client.
Wherein, second client can show whether the eyesight numerical value of children and eyesight are normal, and children are current
Relation between the eyesight value and standard vision value of detection.Second client can show above-mentioned pass by the form of curve map
System.
By the way that the suggestion of the risks of myopia of children and improvement risks of myopia is sent into second client, can make
Virgin guardian monitors the eyesight situation of change of children in real time, at the same time it can also help guardian to improve the eyesight of children.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example " or " some show
The description of example " etc. means that combining specific features, structure, material or feature that the embodiment or example describe is contained in the present invention
At least one embodiment or example in.In this manual, the schematic representation of above-mentioned term is not required to be directed to
Identical embodiment or example.Moreover, specific features, structure, material or the feature of description can be in any one or more realities
Apply and combined in an appropriate manner in example or example.In addition, in the case of not conflicting, those skilled in the art can incite somebody to action
Different embodiments or example and the feature of different embodiments or example described in this specification are combined and combined.Need
Illustrate, the flow chart and block diagram in accompanying drawing of the present invention show according to the device of multiple embodiments of the present invention, method and
Architectural framework in the cards, function and the operation of acquisition machine program product.At this point, each side in flow chart or block diagram
Frame can represent a part for a module, program segment or code, and a part for the module, program segment or code includes one
Or multiple executable instructions for being used to realize defined logic function.It should also be noted that some as replace realization in, side
The function of being marked in frame can also be with different from the order marked in accompanying drawing generation.For example, two continuous square frames are actual
On can perform substantially in parallel, they can also be performed in the opposite order sometimes, and this is depending on involved function.Also
It is noted that the combination of each square frame and block diagram in block diagram and/or flow chart and/or the square frame in flow chart, Ke Yiyong
Function as defined in execution or the special hardware based device of action are realized, or can be referred to specialized hardware and acquisition machine
The combination of order is realized.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description,
The specific work process of device and unit, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, can be with
Realize by another way.Device embodiment described above is only schematical, for example, the division of the unit,
Only a kind of division of logic function, can there is other dividing mode when actually realizing, in another example, multiple units or component can
To combine or be desirably integrated into another device, or some features can be ignored, or not perform.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.
If the function is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in an acquisition machine read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part to be contributed to prior art or the part of the technical scheme can be embodied in the form of software product, and this is obtained
Machine software product is stored in a storage medium, including some instructions are causing an acquisition machine machine (can be
People obtains machine, server, or net machine etc.) perform all or part of step of each embodiment methods described of the present invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (10)
- A kind of 1. child myopia Risk Forecast Method, it is characterised in that including：Obtain the current detection data and physical signs value of user's eyesight；According to the current detection data and/or the physical signs value, using potential visual acuity model, predict that the user's is near Apparent wind danger.
- 2. child myopia Risk Forecast Method according to claim 1, it is characterised in that the current detection data, bag Include：One or more in the dioptric optical value of current detection, axiallength, eyesight value.
- 3. child myopia Risk Forecast Method according to claim 1, it is characterised in that the physical signs value, including： One or more physical signs values in age, height, body weight, father and mother's eyesight.
- 4. child myopia Risk Forecast Method according to claim 2, it is characterised in that the current detection data are to work as The dioptric optical value of preceding detection；According to the current detection data and/or the physical signs value, using potential visual acuity model, predict that the user's is near Apparent wind danger, including：According to the dioptric optical value and/or the physical signs value, using potential visual acuity model, the near-sighted wind of the user is predicted Danger.
- 5. child myopia Risk Forecast Method according to claim 1, it is characterised in that according to the current detection number According to and/or the physical signs value, using potential visual acuity model, before the step of predicting the risks of myopia of the user, also wrap Include：Obtain the sample data of different age group children's vision；According to the sample data, using regression analysis and/or neural net method, potential visual acuity model is established.
- 6. child myopia Risk Forecast Method according to claim 5, it is characterised in that establish potential visual acuity model it Afterwards, in addition to：The real-time sample data of different age group children's vision is obtained in real time；According to the real-time sample data, using regression analysis and/or neural net method, eyesight described in real-time optimization is pre- Survey model.
- 7. child myopia Risk Forecast Method according to claim 1, it is characterised in that also include：Obtain eye-using environment index of the user at the appointed time in section；According to the eye-using environment index and the risks of myopia, the situation of change of the risks of myopia is predicted.
- 8. child myopia Risk Forecast Method according to claim 1, it is characterised in that also include：According to the risks of myopia, the suggestion for improving risks of myopia is obtained.
- A kind of 9. child myopia risk profile device, it is characterised in that including：Data obtaining module, for obtaining the current detection data and physical signs value of user's eyesight；Potential visual acuity module, for according to the current detection data and/or the physical signs value, using potential visual acuity mould Type, predict the risks of myopia of the user.
- A kind of 10. child myopia Risk Forecast System, it is characterised in that including：First client, the second client and service End；First client is connected with second client, and second client is connected with the service end；First client is used to detecting the eye-using environment index of children, and the eye-using environment index is sent into described the Two clients；Second client is used to send out the eye-using environment index and current detection data and/or physical signs of children Give the service end；The service end is used for according to the eye-using environment index and the current detection data and/or the physical signs, The risks of myopia of children and the situation of change of risks of myopia are predicted, and prediction result is sent to second client.
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| CN201710520728.0A CN107358036A (en) | 2017-06-30 | 2017-06-30 | A kind of child myopia Risk Forecast Method, apparatus and system |
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| CN201710520728.0A CN107358036A (en) | 2017-06-30 | 2017-06-30 | A kind of child myopia Risk Forecast Method, apparatus and system |
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| WO2023195919A3 (en) * | 2022-04-05 | 2023-11-16 | Plano Pte. Ltd. | Method for predicting risk of developing myopia |
| CN114937307A (en) * | 2022-07-19 | 2022-08-23 | 北京鹰瞳科技发展股份有限公司 | Method for myopia prediction and related products |
| CN115132364A (en) * | 2022-08-25 | 2022-09-30 | 首都医科大学附属北京同仁医院 | Myopia risk determination method and device, storage medium and wearable device |
| CN117095821A (en) * | 2023-10-20 | 2023-11-21 | 京东方艺云(杭州)科技有限公司 | Myopia risk level prediction method and device, electronic equipment and medium |
| CN117095821B (en) * | 2023-10-20 | 2024-02-20 | 京东方艺云(杭州)科技有限公司 | Myopia risk level prediction method and device, electronic equipment and medium |
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