CN110974147B

CN110974147B - Binocular vision function detection quantification output device for binocular vision

Info

Publication number: CN110974147B
Application number: CN201911004562.2A
Authority: CN
Inventors: 郑福浩; 侯方; 汪育文; 阮小微; 陈浩
Original assignee: Eye Hospital of Wenzhou Medical University
Current assignee: Eye Hospital of Wenzhou Medical University
Priority date: 2019-10-22
Filing date: 2019-10-22
Publication date: 2022-05-27
Anticipated expiration: 2039-10-22
Also published as: CN110974147A

Abstract

The invention relates to a binocular vision function detection quantitative output method for binocular vision separation, which can reduce variation caused by artificial subjectivity through multiple measurements in a data acquisition method; the method for automatically extracting data and drawing the chart can image a large amount of cold ice data, so that quantitative data output is realized, the inspection data is more readable and understandable, and the follow-up consultation and follow-up visit are facilitated.

Description

Binocular vision function detection quantification output device for binocular vision

Technical Field

The invention relates to the technical field of computer display, drawing technology and eye vision optics, in particular to a binocular vision function detection quantification output device for binocular vision.

Background

With the change of social working environment, more and more display terminals enter into our life and work, the visual entertainment activities are rich, the visual load is increased rapidly, and a large number of adults, school-age teenagers and children begin to complain about visual fatigue symptoms such as dry eyes, distending pain, blurred vision and the like. According to the reports of expert consensus on asthenopia issued in 2014, 23% of school-age children, 64% -90% of computer users and 71.3% of dry eye patients all have asthenopia symptoms with different degrees, and a series of asthenopia symptoms such as eye swelling, eye pain or eye discomfort can appear after long-time eye use in a large group of patients such as patients with internal and external heterophoria, or patients with binocular visual dysfunction with low fusion reserve function. However, the clinical examination and diagnosis level of the patients is generally poor in China, so that a large number of patients have no diagnosis. In addition, binocular vision training is one of the best methods for treating patients, but a large number of professional trainees are lacking to analyze, set training methods and evaluate the training effect and the success rate of completion of the patients in the training process; although some software and methods are available in the market for providing family training, most of the software and methods are aimed at amblyopia children, lack of diagnosis and treatment of asthenopia of non-amblyopia children and adults, and lack of high-quality human-computer interaction and personalized analysis, so that the diagnosis and treatment level is uneven, and the treatment effect is unclear.

Assessment of binocular visual function fusion was clinically broken using prismatic, rod of mahalanobis lenses, and the range of heterophoria and fusion reserve was measured. The measurement process requires subjective cooperation of the patient and the doctor, and the process is also affected by the flow and speed of the test of the testers. In addition, the requirements on equipment and technology are high, so that the operation cannot be performed in a campus, a community or other public places only by the limitation that the operation can be performed in a highly specialized eye-sight hospital.

Disclosure of Invention

In order to solve the technical defects in the prior art, the invention provides a binocular vision function detection quantification output method for binocular vision.

The technical solution adopted by the invention is as follows: a binocular vision function detection quantification output method for binocular vision separation is characterized by comprising the following steps:

(1) obtaining a declivity measurement parameter: simulating a modification Thorington method by using a computer, measuring the crypto-tilt, calculating the corresponding prism diopter by using the optical deflection capability of the prism, and calculating to obtain the mean value and the standard deviation of the crypto-tilt;

(2) obtaining a fused image range test parameter: separating the images seen by the left eye and the right eye of the patient by a binocular vision method, recording the average value and the standard deviation to represent the examination result, and obtaining an aggregate range and a divergence range;

(3) and (3) automatic quantification image imaging output:

a. taking the prism value as an X-axis unit and taking the reciprocal of the distance as a Y-axis;

b. firstly, calculating a drawing requirement line,

IPD is the interpupillary distance between eyes and the unit is centimeter; TD is the test distance;

c. drawing an invisible oblique line and a fused image range, importing the measured invisible oblique line and fused image range, drawing an average value and a standard deviation of the invisible oblique line and the fused image range corresponding to different distances, connecting the values, connecting the invisible oblique values of different distances to obtain an invisible oblique line, and connecting the fused image ranges of different distances to obtain a divergence range and a convergence range;

d. calculating and drawing a comfort zone, wherein the horizontal distance from a point on the right side of the comfort zone to a demand line is 1/2 of a divergence range, the horizontal distance from the left side of the comfort zone to the demand line is 1/2 of a convergence range or the horizontal distance from a point on the right side of the comfort zone to the demand line is 1/3 of a divergence range plus 2/3 of a convergence range, and the horizontal distance from the left side of the comfort zone to the demand line is 2/3 of a divergence range plus 1/3 of the convergence range;

e. the relative positions of the hidden oblique line and the comfort zone are compared.

The step (1) of obtaining the anticline measurement parameters comprises the following specific steps: there will be a fixed red dot, a movable equal-size white dot, and a white cross-line on the test interface. The white horizontal Ma's pole lens is placed in front of the right eye, a patient can see a vertical red vertical line, order the patient to stare at a red dot, and move the white dot to the intersection of the red vertical line and the white horizontal line by using a mouse to click, after clicking, the white dot can randomly appear at any position on a screen, the patient needs to move the white dot again to the intersection of the red line and the white horizontal line, repeating the operation for 7 times, and calculating the mean value and the standard deviation of the heterophoria through a formula after multiple accurate measurements.

The calculation of the mean value and the standard deviation of the skewness by a formula is specifically as follows: the method is applied to a computer display screen, the coordinate difference with the original coordinate is calculated by recording the coordinate position corresponding to the deflection point, the deviation is the product of the coordinate difference and the pixel point size, and the product is divided by the inspection distance to be converted into the prism degree. The formula is as follows:

wherein PD is prism degree, negative value represents outer implicit inclination amount, positive number represents inner implicit inclination amount, delta X is coordinate difference, Px is pixel relative length, and TD is inspection distance.

The specific steps for obtaining the test parameters of the fusion image range in the step (2) are as follows: the patient separates the images seen by the left eye and the right eye by a binocular vision method, the left eye sees a column of 5E characters, the right eye sees another column of 5 identical E characters, the images seen by the two eyes before the test is started are 1 column of 5 characters, and when the patient presses a designated key, the test is startedInitially, during the test, the characters seen by both eyes are tested for 0.5^△Second test 0.6^△S, third test 0.7^△The speed of/s is moved left and right, the patient is ordered to keep one column of characters, when the patient reports that two columns of separated characters are seen, the appointed key is pressed, the computer records the data of three times in the test process, and the average value and the standard deviation are calculated; the test is two rounds, each round comprises three times, and the first round is a divergent range test; the second time is the set range test.

The drawing of the hidden oblique line in the step (3) is specifically as follows: value of skew

Wherein PD is the mean ± standard deviation of 7 tests; and connecting the implicit oblique values of different distances into the implicit oblique line.

The drawing of the divergence range in the step (3) c is specifically as follows: divergence range

Where Div is the mean ± standard deviation of the three divergence range test results, and then the different distance values are connected in sequence.

The drawing of the set range in the step (3) c is specifically as follows: aggregate scope

Where Con is the mean + -standard deviation of the three collective range test results, and then the different distance values are connected in sequence.

The test distances of the range of the camouflaging and the range of the fusion are 3 meters, 0.77 meter and 0.33 meter.

The invention has the beneficial effects that: the invention provides a binocular vision function detection quantitative output method for binocular vision, which relates to a data acquisition method and can reduce variation caused by artificial subjectivity through multiple measurements; the method for automatically extracting data and drawing the chart can image a large amount of cold ice data, so that quantitative data output is realized, the inspection data is more readable and understandable, and the follow-up consultation and follow-up visit are facilitated.

Drawings

FIG. 1 is a flow chart of the quantitative binocular vision function inspection method of the present invention.

FIG. 2 is a flow chart of a personalized vision training method of the present invention.

Fig. 3 shows a sinusoidal grating and judgment.

FIG. 4 is a quantitative output graph of binocular visual function tests of the first test results of the patients in the examples. Wherein the dotted line with the circular graphic representation is a hidden oblique line, the dotted line with the square and triangular graphic representation is a fusion range reflecting the patient, the solid line with the hollow circle is a demand line, and the ash bottom area is a comfortable area obtained according to the fusion range.

FIG. 5 is a quantitative output graph of binocular visual function tests of the second test results of the patients in the examples.

FIG. 6 is a graph showing the quantitative output of the binocular visual function test of the third test result of the patient in the example.

Detailed Description

1. Measuring parameters:

a) recessing: measuring distances of 3 meters, 0.77 meters and 0.33 meters for 7 times per distance; the results are shown as XX. + -.xx (unit: prism, Δ)

b) Fusion range: measuring distances of 3 meters, 0.77 meters and 0.33 meters; the results are shown as the set XX + -XX (unit: prism, Δ) and the divergence range XX + -XX (unit: prism, Δ);

note: XX is the mean and XX is the standard deviation.

2. The test method comprises the following steps:

a) recessing: the test method is programmed from a modification Thorington method, man-machine interaction is added, and after multiple times of accurate measurement, the average value and the standard deviation are taken as the final result. The test flow is as follows: first, the patient name and date of birth are entered and the test interface has a fixed red dot, a movable equally large white dot, and a white line crossing the red dot. The patient places a white horizontal Ma's rod lens in front of the right eye, and the patient will see a vertical red vertical line, order the patient to stare at a red dot, and move the white dot with a mouse to the intersection of the red vertical line and the white horizontal line, and after clicking, the white dot will appear at any position on the screen at random, and the patient needs to move the white dot again to the intersection of the red vertical line and the white horizontal line. Repeating the above steps for 7 times, and calculating the corresponding prism diopter according to the optical deflection capability of the prism, wherein the prism diopter 1PD is 1cm/m, the representative light ray passes through the 1-prism lens, and the deviation degree is 1cm at a distance of 1 meter. And calculating the mean value and the standard deviation of the latent inclination, and storing the test result. The method is applied to a computer display screen, the coordinate difference with the original coordinate is calculated by recording the coordinate position corresponding to the deflection point, the deviation is the product of the coordinate difference and the pixel point size, and the product is divided by the inspection distance to be converted into the prism degree. The formula is as follows:

b) Testing the fusion range: the test flow is as follows: first, the name of the patient and the date of birth are input, and the patient separates the images seen by the left and right eyes by a binocular vision method (such as shutter polarization, optical polarization, red-green glasses, red-blue glasses). The left eye sees one column of 5E characters, the right eye sees another column of identical 5E characters, the image seen by both eyes before the test starts is 1 column of 5 characters, and the test starts when the patient presses the designated key. During the test, the characters seen by both eyes will be tested for the first time by 0.5^△Second test 0.6^△S, third test 0.7^△The speed of the/s is moved to the left and right,ordering the patient to keep a column of characters, pressing a designated key when the patient reports that two columns of characters are separated, recording three times of data in the test process by the computer, and calculating the average value and the standard deviation; the test of each distance is two rounds, each round comprises three times, the moving speed of the three tests is different, and the first round is a divergence range test; the second round is a set range test; the test is carried out according to the length of 3 meters, 0.77 meter and 0.33 meter, and the distance can be adjusted again.

3. Automatic image forming method (fig. 4)

a) X-axis unit is prism value: (^△) The Y axis is the distance (unit: rice).

b) Calculating a demand line: y is 0.1 IPD/D (IPD is interpupillary distance between eyes in millimeters; D is testing distance in meters)

c) Camouflaging, range of fusion: and (3) automatically importing the range of the latent dip and the range of the fused image measured in the step (2), drawing the average value and the standard deviation of the range of the latent dip and the range of the fused image corresponding to different distances, and connecting the lines. The dotted lines with the circular graphic representation represent a faint slope, the dotted lines with the square graphic representation on the left side of the image are a divergent range, and the dotted lines with the triangle graphic representation on the right side of the image are an aggregate range. The drawing of the hidden oblique line is specifically as follows: value of skew

Wherein PD is the mean ± standard deviation of 7 tests; and connecting the implicit oblique values of different distances into the implicit oblique line. The divergence range is specifically drawn as: divergence range

Where Div is the mean ± standard deviation of the three divergence range test results, and then the different distance values are connected in sequence. The drawing of the set range specifically includes: aggregate scope

Where Con is the mean + -standard deviation of the three test results, and then the different distance values are connected in order.

d) Comfort zone calculation: the horizontal distance from the right point of the comfort zone to the demand line is 1/2 for the divergence range; the horizontal distance to the demand line on the left side of the comfort zone is 1/2 for the aggregate range.

f) If the dotted hidden oblique line with the circular diagram is in the grey-bottom comfort zone, the asthenopia symptoms caused by eyemuscle fatigue are not easy to appear; if the dotted hidden oblique line with the circular figure is not in the gray-bottom comfort region, the eye fatigue symptoms due to the eye muscle fatigue tend to occur.

Example (b):

the chief complaints of the examination patients are blurred and not lasting, and the patients are easy to fatigue after long-time reading; and carrying out three times of examination, 3 times of personalized training and 9 times of traditional training, wherein the traditional training scheme is obtained according to the personalized training result.

The first test result is shown in fig. 4, and it can be seen from the quantitative output graph of binocular visual function detection of the patient that the dotted line with the circular graph is not in the comfortable zone with gray bottom, so that the asthenopia symptom caused by eyemuscle fatigue is easy to appear, and the condition that the visual objects of the patient are fuzzy and unclear and are easy to fatigue after long-time reading is met.

The second test result is shown in fig. 5, and after one week of personalized visual training, it can be seen from the quantitative output graph of binocular visual function detection of the patient that the dotted hidden oblique line with the circular graph is already in the grey-bottom comfort region, so that the asthenopia symptom caused by eye muscle fatigue is not easy to appear.

The third test result is shown in fig. 6, and after two weeks of personalized visual training, it can be seen from the quantitative output graph of binocular visual function detection of the patient that the dotted hidden oblique line with the circular graph is already in the grey comfortable area, so that the asthenopia symptom caused by eye muscle fatigue is not easy to appear.

The skilled person should understand that: although the invention has been described in terms of the above specific embodiments, the inventive concept is not limited thereto and any modification applying the inventive concept is intended to be included within the scope of the patent claims.

The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.

Claims

1. The utility model provides a binocular vision function detection quantification output device of binocular vision separate look which characterized in that includes following module:

(1) a stealth declination measurement parameter module: simulating a modification Thorington method by using a computer, measuring the crypto-tilt, calculating the corresponding prism diopter by using the optical deflection capability of the prism, and calculating to obtain the mean value and the standard deviation of the crypto-tilt;

(2) the image fusion range testing parameter module: separating the images seen by the left eye and the right eye of a patient through a binocular vision method, recording the average value and the standard deviation to represent the inspection result, and obtaining an aggregation range and a divergence range, wherein the specific steps are that the images seen by the left eye and the right eye of the patient are separated through the binocular vision method, the left eye sees a column of 5E characters, the right eye sees another column of completely same 5E characters, the images seen by the two eyes before the test is started are 1 column of 5 characters, when the patient presses an appointed key, the test is started, and in the test process, the characters seen by the two eyes can be tested for 0.5 time for the first time respectively^△Second test 0.6^△S, third test 0.7^△Moving the speed of/s to the left and right, ordering the patient to keep a column of characters, pressing a designated key when the patient reports that two columns of separated characters are seen, recording three times of data in the test process by the computer, and calculating the average value and the standard deviation; the test is two rounds, each round comprises three times, and the first round is a divergence range test; second time as set rangeTesting;

(3) the automatic quantification image imaging output module:

b. firstly, calculating a drawing requirement line,

c. drawing hidden oblique lines and fused image ranges, importing the measured hidden oblique lines and fused image ranges, drawing average values and standard deviations of the hidden oblique lines and the fused image ranges corresponding to different distances, connecting the average values and the standard deviations, connecting hidden oblique values of different distances to obtain hidden oblique lines, connecting fused image ranges of different distances to obtain divergent ranges and collective ranges, and connecting hidden oblique values to obtain convergent ranges

Wherein PD is the mean ± standard deviation of 7 tests; then connecting the implicit oblique values of different distances into implicit oblique lines; divergence range

Wherein Div is the mean value plus or minus standard deviation of the three divergence range test results, and then different distance values are connected in sequence; aggregate scope

Wherein Con is the mean value plus or minus standard deviation of the three-time set range test results, and then different distance values are connected in sequence;

2. The binocular visual function detection quantification output device of the claim 1, wherein the cryptooblique measurement parameter module comprises a fixed red dot, a movable white dot with equal size and a white transverse line on a test interface, a horizontal Ma's rod lens is placed in front of the right eye, a patient can see a vertical red vertical line, the patient is ordered to stare at the red dot, the white dot is moved by a mouse to a point where the red vertical line and the white transverse line meet, after clicking, the white dot can randomly appear at any position on a screen, the patient needs to move the white dot again to a point where the red line and the white transverse line meet, the operation is repeated for 7 times, and after accurate measurement, the mean value and the standard deviation of the cryptooblique are calculated through a formula.

3. The binocular vision function detecting and quantifying output device of claim 2, wherein the vignetting measurement parameter module is applied to a computer display screen, and the coordinate difference with the original coordinate is calculated by recording the coordinate position corresponding to the deflection point, the deviation is the product of the coordinate difference and the pixel point size, and the product is converted into the prism degree by dividing the inspection distance, and the formula is as follows:

4. The binocular visual function detection quantification output device of the binocular vision division according to claim 1, wherein the test distances of the range of the vignetting and the fusion are 3 meters, 0.77 meters and 0.33 meters.