CN105832284B - Binocular optical image separation detection device and method - Google Patents
Binocular optical image separation detection device and method Download PDFInfo
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Abstract
The invention discloses an binocular optical image separation detection device and a detection method, and relates to the field of optical image separation detection, aiming at solving the problems in the prior art of binocular optical image separation. The device comprises a computer, a projector, a screen, a screen slide rail, a trackball and a test board, wherein an image signal output end of the computer is connected to an image signal input end of the projector; the projector is used for projecting images on the screen; the test board is fixedly arranged in front of the screen; the screen can change a distance between the screen and the test board by virtue of the screen slide rail; a head fixing device is fixedly arranged on the test board, so that the head of a patient is fixed; a track signal output end of the trackball is connected to a track signal input end of the computer; and the trackball can generate track points on the screen. By virtue of the detection method, automatic and integrated detection of a whole course from detection mode setting, detection program operating, detection result image information acquiring, map generating and result quantifying to analyzing & interpreting and the like is achieved, and a positional relationship between real and virtual images can be truly reflected in the optical image separation of the patient.
Description
Technical field
The present invention relates to video separation detection field.
Background technology
As producing two images when separation finger eyes see an object, namely what is often called regards thing ghost image, is clinically also referred to as Binocular vison
For diplopia.As extraocular muscles active force is lost or weakens, when two eye fixation targets, sight line at a glance deviates target, makes object
Image can not fall within simultaneously in the corresponding point of two eyes retina macular areas, make one an object to regard two as.This symptom
It is that ophthalmoplegia is caused due to the reasons such as cerebrovascular disease, diabetes, wound, aneurysm, infection infringement eye movement nerve mostly, is
Secondary symptom.Patient can not usually differentiate real image and the virtual image in ghost image, and the life, study, work to patient is made troubles.
It is many with regard to the detection method of the disease at present, but it is that by the detection method of automatization seldom, wherein：
(1) a kind of detections of the HESS with Aulomatizeted Detect function of Capital University of Medical Sciences's invention.The detection is by green glow speckle
Pocket lamp is connected with two-dimentional incremental angle encoder, angle signal is sent into μ PD78P014 single-chip microcomputers, calls Float Point Arithmetic Library to carry out
Calculate, the position that detected person is incident upon each hot spot on HESS screens carry out accurately automatically record, and print.The detection electricity
Road G- Design is complicated, and testing result is affected larger by circuit,
(2) the application microcomputer image technique of the Capital University of Medical Sciences and Beijing Tongren Hospital's invention realizes that ophthalmology HESS screens are automatic
Measurement, the method photographic head intake facula position input microcomputer, is accurately printed with spatial image geometry distortion core normal operation method
Go out measurement result.The method complex structure, technology path fall behind, and implementation process still needs manual intervention.
(3) the automatic HESS screens detection of the Thompson designs of London City University optometry and visual science, its
Composition is to combine computer operation using HESS screen principles, and detection screen is computer display, and detecting distance is 25cm, and which is not
Foot is that test screen is little, and detecting distance is short, and detection range is not enough, testing result is inaccurate.
(4) the red green screen detections of the electronics Lancaster of the Ahmed Awadein designs of University of Cairo: Cairo, Egypt, the method will
Manual Lancaster screens detection method combines computer language design program and runs on windows platform, and its weak point is
Cumbersome, detection time is longer, and head lacks fixation, and testing result has deviation.
In March, (5) 2013, our Guo technical staff protect to rise and deliver thesis《Ophthalmoplegia diplopia testing equipment and
Diagnosis decision support research》The achievement that the part research contents of correlation is obtained in early days with us is disclosed, we are sent out in clinic
Existing, also there is many defects in the achievement, the space for still having many liftings.Therefore we are carried out in the achievement of early stage again
The research of nearly 2 years.
(6) existing HessShi screens testing result interpretation method is that detection gained track each point line is formed recording geometry；
Recording geometry area is compared with 9 points of field word graphics areas on original HessShi screens.There is ophthalmoplegia in the area explanation that diminishes,
Strong eye pattern deformation is big.Although the shape of recording geometry has certain with paralysis muscle effect associating, recording geometry is not directly perceived anti-
The operative condition of extraocular muscles is reflected, the detached direction of video and degree can not be reflected when Area comparison is carried out, to checking and sentence
Read testing result and cause puzzlement.
The content of the invention
The present invention is in order to solve existing Binocular vison as the problems of separation detection technique, it is proposed that a kind of Binocular vison picture
Separation detecting device and method.
A kind of Binocular vison includes computer, projector, screen, screen slideway, trace ball and test as separation detecting device
Platform, the image signal output end of the computer are connected with the picture signal input of projector, and projector is schemed to screen projection
Picture, testboard are fixed on the dead ahead of screen, and the screen changes the distance between screen and testboard by screen slideway,
Head fixing device is fixed with testboard, for immobilized patients head, trajectory signal outfan and the computer of trace ball
Trajectory signal input connects, and the trace ball generates tracing point on screen.
Detection method includes：
For the patient information input step of patient information input；
For the position adjustments step that control screen is moved on screen slideway；
Detection template for selecting detection template selects step；
Correct for the detection template that the error according to produced by human eye vision is corrected to the detection template for having selected
Step；
Start to remind step for the detection for starting to detect instruction after the completion of detection template correction, is sent to testing staff
Suddenly；
For the coordinate measurement step of trajectory coordinates produced by real-time detection trace ball；
For judging whether patient clicks on the click detecting step of trace ball, it is, then carries out the detection of subsequent point, it is no, then
Patient is reminded to click on again；
Step is completed for judging whether that all test points complete the detection for detecting, is, then perform detection image sum
Value generation step, it is no, then remind patient to detect the test point not detected；
Position for the track according to produced by trace ball generates the detection image and numerical value of detection image and coordinate values
Generation step；
Detection data for being stored to detection image and coordinate values preserves step；
For the case report generation step of case report, the case report are generated according to detection image and coordinate values
Content include patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis, with the presence or absence of socket of the eye wall fracture, the cause of disease
With maximum diplopia angle；
After the completion of for detection, the detection for sending detection of end instruction to testing staff terminates to remind step；
For according to patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis and whether there is socket of the eye
Wall fracture obtains recovery from illness probability, and the review time computing module of review time is obtained according to the recovery from illness probability；
For the database of patient information storing step stored to patient information and case report；
For the result retrieval step of systematic searching and output data storage is carried out to database information.
Beneficial effect：
1st, realize Binocular vison as the automatization of separation detection
The present invention devises computer auto-detection system on the basis of various traditional detection methods, using human-computer interaction
Pattern, computer Jing grenade instrumentations will detect that sighting target is shown in projection screen, subjective feeling Self-operating of the patient according to oneself
Trace ball completes the actual position of whole detection process, patient's objective record finding real image and the virtual image, compared to original doctor
The detection mode of testing result is estimated roughly and is recorded in description according to patient, meanwhile, the present invention is automatically generated using computer
Including video separating spectrum, the case report separated including the testing results such as angle, the state of an illness archives of patient are set up automatically, in behaviour
Qualitative leap is realized in the simplicity of work.
2nd, realize Binocular vison as the precise quantification of separation detection
The present invention calculates testing result in real time using computer, automatically the detection data of storage patient, compared to original
Doctor's subjectivity interpretation, the detection mode of hand-kept, breach original detection it is repeatable it is poor, cannot the objective quantification evaluation state of an illness
The predicament of the order of severity.The present invention according to case report, can set up the state of an illness archives of patient automatically, continuous record patient's video
Detached change of illness state, has filled up the blank that original detection cannot realize data storage and efficacy evaluation, retrieval result it is objective
Qualitative leap is realized in property.
3rd, realize that detecting distance and detection angles are arbitrarily adjusted automatically
The present invention automatically adjusts detecting distance according to the conditions of patients order of severity, has manufactured and designed suspension annotating display dress
Put, including pipe-hanging hook and moving guide rail.Moving guide rail lateral register ensure that the movement thereon of screen 4 is horizontal direction,
Computer is adjusted according to selected detecting distance using computer automatically by remote manipulation automatic moving to specified detecting distance
Section test point sighting target position, is allowed to meet the requirement of different detecting distances.It is relative that the present invention solves original method detecting distance
Fixed problem, realizes detecting distance and automatically adjusts according to conditions of patients difference, instead of original artificial lift detection dress
The clumsy method put, realizes the intellectually and automatically of detection.
4th, directly perceivedization, the interpretation method easy of testing result are realized
Video separation detection is the important means for diagnosing ophthalmoplegia and evaluation curative effect, as video separates situation complexity,
Various detection methods are needed to meet different detection demands, every kind of detection method has its feature and limitation, it is difficult to meet continuous
The treatment technology of development.The present invention combines red green screen interpretation method on the basis of HESS detections, proposes a kind of new to be easier to sentence
The method of the disconnected state of an illness, enables a physician to simplicity, intuitively carries out interpretation, while reflecting the video of video detaching direction and degree
Separation situation, is that ophthalmoplegia patient recovery situation and therapeutic effect judge to provide help.
Description of the drawings
Fig. 1 is a kind of Binocular vison described in specific embodiment one as the structural representation of separation detecting device；
Schematic diagrams of the Fig. 2 for detection template；
Fig. 3 is detection image display schematic diagram；
Fig. 4 is coordinate values display schematic diagram.
Specific embodiment
Specific embodiment one, this specific embodiment is illustrated with reference to Fig. 1, a kind of eyes described in this specific embodiment
Video separation detecting device includes computer 1, projector 2, screen 4, screen slideway 3, trace ball 6 and monitor station 5, the calculating
The image signal output end of machine 1 is connected with the picture signal input of projector 2, and projector 2 is to 4 projects images of screen, detection
Platform 5 is fixed on the dead ahead of screen 4, and the screen 4 changes the distance between screen 4 and monitor station 5 by screen slideway 3,
Head fixing device 7 is fixed with monitor station 5, for immobilized patients head, the trajectory signal outfan of trace ball 6 and computer
1 trajectory signal input connection, the trace ball 6 generate tracing point on the screen 4.
The present invention is fixed on 5 face of monitor station using the special optometry jaw support of ophthalmology, and the device is played fixed and adjusts sight line
The effect of height, is to increase stability and comfort, and jaw support both sides are fitted for back of head added with elastomeric material, it is ensured that during detection
Head fixes the error for avoiding causing because of head rotation in detection process, improves detection precision.Additionally, the special optometry of ophthalmology
Jaw support wide material sources, relative low price.150 cun of screens 4 can be realized recording the scope suffered from required for furious figure divergent image.
4 transporter of track suspension type screen, needs according to detection, the detecting distance between adjust automatically detection screen 4 and patient, meets
Detection demand of the clinical examination to the different state of an illness.Detection detects that screen 4 can be retracted at the top of ceiling automatically after terminating, compared to
Existing method takes up an area little, save space, while avoiding bringing detection error because of patient's movement debugging distance.
Specific embodiment two, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment one
The difference for surveying device is that the computer 1 includes the detection module realized by software, and the detection module includes：
For the patient information input block of patient information input；
For the position adjustment block that control screen 4 is moved on screen slideway 3；
For selecting the detection template selecting module of detection template；
Correct for the detection template that the error according to produced by human eye vision is corrected to the detection template for having selected
Module；
Start to remind mould for the detection for starting to detect instruction after the completion of detection template correction, is sent to testing staff
Block；
For the coordinate measurement module of trajectory coordinates produced by real-time detection trace ball 6；
For judging whether patient clicks on the click detection module of trace ball 6, it is, then carries out the detection of subsequent point, it is no, then
Patient is reminded to click on again；
Module is completed for judging whether that all test points complete the detection for detecting, is, then perform detection image sum
Value generation module, it is no, then remind patient to detect the test point not detected；
Position for the track according to produced by trace ball 6 generates the detection image and numerical value of detection image and coordinate values
Generation module；
For the detection data preserving module stored to detection image and coordinate values；
For the case report generation module of case report, the case report are generated according to detection image and coordinate values
Content include patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis, with the presence or absence of socket of the eye wall fracture, the cause of disease
With maximum diplopia angle；
After the completion of for detection, the detection for sending detection of end instruction to testing staff terminates prompting module；
For according to patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis and whether there is socket of the eye
Wall fracture obtains recovery from illness probability, and the review time computing module of review time is obtained according to the recovery from illness probability；
For the database of patient information memory module stored to patient information and case report；
For the result retrieval module of systematic searching and output data storage is carried out to database information.
Specific embodiment three, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment two
The difference for surveying device is that the process of the selection detection template is：
Eyeball horizontal direction corner is set as α, eyeball vertical direction corner is β, and choose line segments of the α and β equal to ± 20 °
Intersection point is used as detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, 9 standard points, setting detecting distance and detection angle are chosen
Degree, obtains 9 standard points relative position on the screen 4.
Specific embodiment four, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment two
The difference for surveying device is that the error according to produced by human eye vision is to the process that the detection template for having selected is corrected：
Separate to different age group, different sexes, different vision and without video and the normal population without eye part disease is carried out
Detection, the data obtained is carried out between eyes, between each point, level with it is vertical between dependency check analysiss and group difference ratio
Compared with obtaining clinical reference value scope, and all ages and classes, sex, vision horizontal correlation are carried out to range above is carried out
Spearman correlation coefficienies are verified, so as to be corrected to detection template.
Illustrate：
Under 1 meter of 20 ° of template, normal population detection acquired results are as follows with standard point grid deviation value：
The grid deviation value of left eye 1-9 points be respectively (- 0.00052,0.037351), (0.215075,0.278672), (-
0.01523,0.014477)、(0.064119,0.014795)、(0.022983,0.008388)、(-0.05631,
0.039504)、(-0.00267,0.005027)、(-0.13427,-0.10285)、(-0.02944,0.01736)
The grid deviation value of right eye 1-9 points be respectively (- 0.34925,0.290708), (- 0.25949,0.196715), (-
0.09884,0.367015)、(-0.32011,-0.06173)、(-0.18088,0.276975)、(0.067938,
0.352422)、(-0.02618,0.009699)、(-0.05676,0.098153)、(0.084233,0.075777)。
According to the grid deviation value amendment detection template of gained normal person, the detection template coordinate figure of standard is drawn such as
Under：
After left eye 1-9 point amendments, coordinate is respectively：(-20.00052,20.037351)、(0.215075,20.278672)、
(19.98477,20.014477)、(-19.935881,0.014795)、(0.022983,0.008388)、(19.94369,
0.039504)、(-20.00267,19.994973)、(-0.13427,-20.10285)、(19.7056,-19.98264)。
After right eye 1-9 point amendments, coordinate is respectively：(-20.34925,20.290708)、(-0.25949,20.196715)、
(19.90116,20.367015)、(-20.32011,-0.06173)、(-0.18088,0.276975)、(20.067938,
0.352422)、(-20.02618,19.990301)、(-0.05676,-19.901847)、(20.084233,-19.924223)。
Specific embodiment five, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment two
The difference for surveying device is that the position of track according to produced by trace ball 6 generates detection image and the process of coordinate values is：
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then：Δα
=α '-α；Δ β=β '-β, Δ α are that the video in standard point horizontal direction separates angle skew, i.e. the α directions video angle of departure
Degree；Δ β is that the video in standard point vertical direction separates angle skew, i.e. β directions video separation angle, in each standard point
Place output α directions video separates angle and angle acquisition coordinate values, and while output trajectory point and standard is separated with β directions video
Point, between standard point, line forms sphere of movements for the elephants lattice, and standard point corresponding tracing point is carried out line acquisition detection collection of illustrative plates.
Specific embodiment six, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment two
With the presence or absence of oculomotor paralysis and whether the difference for surveying device is, according to patient age, morbidity natural law, treatment number of times,
There is socket of the eye wall fracture acquisition recovery from illness probability is：
Wherein, y is regressand value, and：
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein：
X1Patient age is represented, when patient age is less than 18 years old, 1 is entered as；When patient age is -40 years old 19 years old,
It is entered as 2；When patient age is -60 years old 41 years old, 3 are entered as；When patient age is more than 60 years old, 4 are entered as；
X2The course of disease is represented, when morbidity's natural law is less than 30 days, 1 is entered as；When morbidity's natural law is -90 days 31 days
When, it is entered as 2；When morbidity's natural law is -180 days 91 days, 3 are entered as,；When morbidity's natural law is more than 180 days, assign
It is worth for 4；
X3Treatment number of times is represented, when patient's treatment number of times is less than 15 times, 1 is entered as；When patient's treatment number of times be 16 times-
When 30 times, 2 are entered as；When patient's treatment number of times is 31 times -45 times, 3 are entered as；When patient's treatment number of times is more than 45 times,
It is entered as 4；
X4Oculomotor paralysis coefficient is represented, when patient has oculomotor paralysis, 1 is entered as；When patient is not present
During oculomotor paralysis, 2 are entered as；
X5Represent socket of the eye wall fracture coefficient；When patient has socket of the eye wall to fracture, 1 is entered as；When patient does not have socket of the eye wall fracture
When, it is entered as 2；
Review time is obtained according to recovery from illness probability is：
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%<During p≤50%, during check
Between be 20 days, when recovery from illness probability 51%<During p≤75%, review time is 10 days, when recovery from illness Probability p>When 75%, review time
For 5 days.
The use process of this device is：Tester logs in detection program, the name of input patient, sex, age, detection day
Individual's essential information such as phase, medical record number, contact method.Input detection angles and distance, detection screen 4 slides, and adjustment is corresponding to be detected
Distance.Before patient is seated at monitor station 5 in darkroom, red (left eye) indigo plant (right eye) glasses are worn, lower jaw is placed in jaw support, adjusts jaw support
Highly ensure that patient's sight line is contour with 4 central point of screen, the stretch woven fabrics of jaw support both sides are fixed in the laminating of patient's back of head.Enter
Enter detection pattern, patient sets aside dynamic trace ball 6 in physician guidance, the blue aperture for occurring corresponding sports track on screen 4, it is mobile
Blue light snare on the upper left red solid circles sighting target of screen 4 is clicked on and key " is confirmed " in trace ball 6, and upper left side is red
Sighting target disappears, and red sighting target occurs in surface, and same mobile blue light snare is confirmed on red sighting target, hereafter upper right, level
To the left, just before, level to the right, lower-left, just under, lower right totally 9 test points in doing so track aperture with it is circular
Sighting target color is exchanged, and is operated by above-mentioned rule.After 9 points of detections terminate, software system exchanges red Cyanopia mark color automatically, repeats
After above-mentioned 9 points of detections, detection of end.Testing result is checked, is clicked on " preservation ", detection data and image are deposited with corresponding format file
Person document is stored up, the exportable papery testing result of printing is clicked, detection program is closed and is completed detection.
A kind of Binocular vison described in specific embodiment seven, this specific embodiment is as the detection method of separation detecting device
Realized by following device, described device includes computer 1, projector 2, screen 4, screen slideway 3, trace ball 6 and detection
Platform 5, the image signal output end of the computer 1 are connected with the picture signal input of projector 2, and projector 2 is thrown to screen 4
Image is penetrated, monitor station 5 is fixed on the dead ahead of screen 4, and the screen 4 changes screen 4 and monitor station 5 by screen slideway 3
The distance between, head fixing device 7 is fixed with monitor station 5, for immobilized patients head, the trajectory signal of trace ball 6 is defeated
Go out end to be connected with the trajectory signal input of computer 1, the trace ball 6 generates tracing point on the screen 4；
The detection method is to realize that the detection method includes by the detection module in computer 1：
For the patient information input step of patient information input；
For the position adjustments step that control screen 4 is moved on screen slideway 3；
Detection template for selecting detection template selects step；
Correct for the detection template that the error according to produced by human eye vision is corrected to the detection template for having selected
Step；
Start to remind step for the detection for starting to detect instruction after the completion of detection template correction, is sent to testing staff
Suddenly；
For the coordinate measurement step of trajectory coordinates produced by real-time detection trace ball 6；
For judging whether patient clicks on the click detecting step of trace ball 6, it is, then carries out the detection of subsequent point, it is no, then
Patient is reminded to click on again；
Step is completed for judging whether that all test points complete the detection for detecting, is, then perform detection image sum
Value generation step, it is no, then remind patient to detect the test point not detected；
Position for the track according to produced by trace ball 6 generates the detection image and numerical value of detection image and coordinate values
Generation step；
Detection data for being stored to detection image and coordinate values preserves step；
For the case report generation step of case report, the case report are generated according to detection image and coordinate values
Content include patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis, with the presence or absence of socket of the eye wall fracture, the cause of disease
With maximum diplopia angle；
After the completion of for detection, the detection for sending detection of end instruction to testing staff terminates to remind step；
For according to patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis and whether there is socket of the eye
Wall fracture obtains recovery from illness probability, and the review time calculation procedure of review time is obtained according to the recovery from illness probability；
For the database of patient information storing step stored to patient information and case report；
For the result retrieval step of systematic searching and output data storage is carried out to database information.
The detection method is easy to operate, it is easy to grasp, and detection is saved time rapidly, it is possible to achieve by detection pattern setting, detection
Procedure operation, testing result image information gathering, collection of illustrative plates are generated, result quantify automatization to the whole detection of analysis interpretation etc. with
Integration, can truly reflect the position relationship between real image and the virtual image in the separation of patient's video.Can be again using the detecting instrument detection
Renaturation is high, and patient compliance is good, shortens detection time, improves the accuracy of testing result, realizes testing result oneself
Momentum so that objective contrast chart is changing into as possibility；Automatic data collection, storage and the systematic searching of detection data are realized,
For continuous observation example conditions of patients from now on or compare same disease difference patient between situation possibility is provided；Realize data base's
Automatically set up and promote the management of case history archive and the evaluation of clinical efficacy.
The present invention selects 1 meter of detecting distance, 20 ° of standard points of Rotation of eyeball to be detected.Protect behind detected person's fixing head position
Card sight line is alignd with 4 central point of screen, wears red blue glasses, and each test point occurs successively, and detected person passes through motion track ball 6
Blue color circle line cursor is enclosed within outside red solid standard point, 6 acknowledgement key of trace ball is clicked on, after the detection of 9 standard points terminates,
Tracing point cursor repeats same steps with standard point color swap and completes detection.Software is recorded automatically and stores detection collection of illustrative plates and 9
The level of individual standard point and vertical angle deviant, and generate data base.The present invention can be defeated with numeral and two kinds of forms of figure
Go out testing result.
Specific embodiment eight, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment seven
The difference of survey method is that the process of the selection detection template is：
Eyeball horizontal direction corner is set as α, eyeball vertical direction corner is β, and choose line segments of the α and β equal to ± 20 °
Intersection point is used as detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, 9 standard points, setting detecting distance and detection angle are chosen
Degree, obtains 9 standard points relative position on the screen 4.
Specific embodiment nine, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment seven
The difference of survey method is, the process that the error according to produced by human eye vision is corrected to the detection template for having selected
For：
Separate to different age group, different sexes, different vision and without video and the normal population without eye part disease is carried out
Detection, the data obtained is carried out between eyes, between each point, level with it is vertical between dependency check analysiss and group difference ratio
Compared with obtaining clinical reference value scope, and all ages and classes, sex, vision horizontal correlation are carried out to range above is carried out
Spearman correlation coefficienies are verified, so as to be corrected to detection template；
Specific embodiment ten, this specific embodiment separates inspection with a kind of Binocular vison picture described in specific embodiment seven
The difference of survey method is that the position of track according to produced by trace ball 6 generates detection image and the process of coordinate values is：
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then：Δα
=α '-α；Δ β=β '-β, Δ α are that the video in standard point horizontal direction separates angle skew, i.e. the α directions video angle of departure
Degree；Δ β is that the video in standard point vertical direction separates angle skew, i.e. β directions video separation angle.In each standard point
Place output α directions video separates the coordinate values that angle separates angle with β directions video, and while output trajectory point and standard point
Collection of illustrative plates, between standard point, line forms sphere of movements for the elephants lattice, standard point corresponding tracing point is carried out line and obtains detection image.
Specific embodiment 11, this specific embodiment is separated with a kind of Binocular vison picture described in specific embodiment seven
The difference of detection method is, according to patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis and is
It is no exist socket of the eye wall fracture obtain recovery from illness probability be：
Wherein, y is regressand value, and：
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein：
X1Patient age is represented, when patient age is less than 18 years old, 1 is entered as；When patient age is -40 years old 19 years old,
It is entered as 2；When patient age is -60 years old 41 years old, 3 are entered as；When patient age is more than 60 years old, 4 are entered as；
X2The course of disease is represented, when morbidity's natural law is less than 30 days, 1 is entered as；When morbidity's natural law is -90 days 31 days
When, it is entered as 2；When morbidity's natural law is -180 days 91 days, 3 are entered as,；When morbidity's natural law is more than 180 days, assign
It is worth for 4；
X3Treatment number of times is represented, when patient's treatment number of times is less than 15 times, 1 is entered as；When patient's treatment number of times be 16 times-
When 30 times, 2 are entered as；When patient's treatment number of times is 31 times -45 times, 3 are entered as；When patient's treatment number of times is more than 45 times,
It is entered as 4；
X4Oculomotor paralysis coefficient is represented, when patient has oculomotor paralysis, 1 is entered as；When patient is not present
During oculomotor paralysis, 2 are entered as；
X5Represent socket of the eye wall fracture coefficient；When patient has socket of the eye wall to fracture, 1 is entered as；When patient does not have socket of the eye wall fracture
When, it is entered as 2；
Review time is obtained according to recovery from illness probability is：
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%<During p≤50%, during check
Between be 20 days, when recovery from illness probability 51%<During p≤75%, review time is 10 days, when recovery from illness Probability p>When 75%, review time
For 5 days.
Specific embodiment 12, this specific embodiment is illustrated with reference to Fig. 3, present embodiment and specific embodiment ten
A kind of Binocular vison described in one is that Fig. 3 is shown as separating the image as obtained by detection, is carried as the difference of method for separating and detecting
Big video separating spectrum is picked and placeed, when the collection of illustrative plates is detected, it is effective information to wear with the eyes of standard point solid colour eyeglass.Point
The variation tendency of collection of illustrative plates each point and standard point line is amplified in analysis, and it is effective information to extract and separate the direction for gradually increasing.Reaction is regarded
As detaching direction, it is determined that paralysis eye and its paralysis extraocular muscles.
Check that separation, as detection the data obtained, extracts the corresponding data set of video separating spectrum for reducing, select to separate most
The level of big point is with vertical angle deviant as effective information.It is determined that separating angle value, video separation degree is specified.
The collection of illustrative plates that video separation detection is recorded when obtaining two width eyes respectively as fixating eye, wherein the figure institute's generation amplified
The fixating eye of table is defined as suffering from eye.Amplify in figure, the length representative patient video of line point between each standard point and tracing point
From as separation trend, the force direction of the extraocular muscles that the direction for gradually increasing as is benumbed is separated, according to extraocular muscles active force
The extraocular muscles of positioning paralysis.Video detaching direction shown by the collection of illustrative plates is consistent with extraocular muscles action direction, and gained collection of illustrative plates is directly perceived,
It is easy to interpretation.
Testing result reacts video separate condition of the patient in 9 standard points.In output pattern, red Bluepoint overlaps prompting nothing
Video is separated or video is separated not substantially, if red Bluepoint separates explanation patient and there is video separation, and red Bluepoint distance is more remote, says
Photopic vision is more serious as separation degree, and the photopic vision of red Cyanopia cursor position relation table is as detached direction.
Each standard point detection data represents video separation degree with vertically and horizontally detached angle.On test point
Explanation when data are 0 does not have video to separate in this position, and the bigger explanation video of numerical value separates more serious.Wherein sign is represented
Offset direction.
The interpretation method of the present invention, video separate picture obtained by when suffering from eye and wearing with fixed test point solid colour can
Reaction video detaching direction directly perceived, it is easy to benumb eye muscle positioning and differentiate, maximum video separates angle and can quantify regarding for patient
As separation degree, the video for reacting patient separates situation of change.Redefine proposition and the detection template of review time formula
Correction, to clarify a diagnosis, judging prognosis provide safeguard.
The detection and result interpretation method are can be applicable in clinical and research work, realize objective, accurate, quantization, side
Just, quickly detect and sentence read result, reduce the interference of artifact, improve the reliability of detection efficiency and testing result
Property, realize that detection is repeatable, it is ensured that the trackability of detection work.
Claims (5)
1. a kind of Binocular vison is as separation detecting device, it include computer (1), projector (2), screen (4), screen slideway (3),
Trace ball (6) and monitor station (5), the image signal output end of the computer (1) and the picture signal input of projector (2)
Connection, to screen (4) projects images, monitor station (5) is fixed on the dead ahead of screen (4), and the screen (4) to projector (2)
The distance between screen (4) and monitor station (5) are changed by screen slideway (3), monitor station is fixed with head fixing device on (5)
(7), for immobilized patients head, the trajectory signal outfan of trace ball (6) is connected with the trajectory signal input of computer (1)
Connect, the trace ball (6) generates tracing point on screen (4)；
Characterized in that, the computer (1) includes the detection module realized by software, the detection module includes：
For the patient information input block of patient information input；
For the position adjustment block that control screen (4) is moved on screen slideway (3)；
For selecting the detection template selecting module of detection template；
For the detection template correction module that the error according to produced by human eye vision is corrected to the detection template for having selected；
Start prompting module for the detection for starting to detect instruction after the completion of detection template correction, is sent to testing staff；
For the coordinate measurement module of trajectory coordinates produced by real-time detection trace ball (6)；
For judging whether patient clicks on the click detection module of trace ball (6), it is, then carries out the detection of subsequent point, it is no, then carry
Awake patient clicks on again；
Module is completed for judging whether that all test points complete the detection for detecting, is, then perform detection image and numerical value life
It is into module, no, then remind patient to detect the test point not detected；
Position for the track according to produced by trace ball (6) generates the detection image and numerical value life of detection image and coordinate values
Into module；
For the detection data preserving module stored to detection image and coordinate values；
For the case report generation module of case report, the case report content are generated according to detection image and coordinate values
Including patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis, with the presence or absence of socket of the eye wall fracture, the cause of disease and most
Big diplopia angle；
After the completion of for detection, the detection for sending detection of end instruction to testing staff terminates prompting module；
For according to patient age, morbidity natural law, treatment number of times, with the presence or absence of oculomotor paralysis and whether there is socket of the eye wall bone
Folding obtains recovery from illness probability, and the review time computing module of review time is obtained according to the recovery from illness probability；
For the database of patient information memory module stored to patient information and case report；
For the result retrieval module of systematic searching and output data storage is carried out to database information.
2. a kind of Binocular vison according to claim 1 is as separation detecting device, it is characterised in that the selection detection template
Process be：
Eyeball horizontal direction corner is set as α, eyeball vertical direction corner is β, and choose intersection point of line segments of the α and β equal to ± 20 °
As detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, 9 standard points, setting detecting distance and detection angles are chosen, is obtained
Obtain relative position of 9 standard points on screen (4).
3. a kind of Binocular vison according to claim 1 is as separation detecting device, it is characterised in that produced according to human eye vision
Raw error to the process that the detection template for having selected is corrected is：
With normal population without eye part disease detect to different age group, different sexes, different vision and without diplopia, to institute
Data carry out between eyes, between each point, level with it is vertical between dependency check analysiss compare with group difference, acquisition clinic
Reference range, and carry out all ages and classes, sex, vision horizontal correlation and carry out spearman correlation coefficienies testing to range above
Card, so as to be corrected to detection template.
4. a kind of Binocular vison according to claim 1 is as separation detecting device, it is characterised in that according to trace ball (6) institute
The position of generation track generates detection image and the process of coordinate values is：
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then：Δ α=
α′-α；Δ β=β '-β, Δ α are that the video in standard point horizontal direction separates angle skew, i.e. α directions diplopia angle；Δβ
Be the video separation angle skew in standard point vertical direction, i.e. β directions diplopia angle, α side is exported at each standard point
Coordinate values, and while output trajectory point and standard point, line shape between standard point are obtained to diplopia angle and β directions diplopia angle
Into sphere of movements for the elephants lattice, and standard point and corresponding tracing point are carried out into line acquisition detection image.
5. a kind of Binocular vison according to claim 1 is as separation detecting device, it is characterised in that according to patient age, send out
Sick natural law, treatment number of times, with the presence or absence of oculomotor paralysis and with the presence or absence of socket of the eye wall fracture obtain recovery from illness probability be：
Wherein, y is regressand value, and：
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein：
X1Patient age is represented, when patient age is less than 18 years old, 1 is entered as；When patient age is -40 years old 19 years old, it is entered as
2；When patient age is -60 years old 41 years old, 3 are entered as；When patient age is more than 60 years old, 4 are entered as；
X2The course of disease is represented, when morbidity's natural law is less than 30 days, 1 is entered as；When morbidity's natural law is -90 days 31 days, assign
It is worth for 2；When morbidity's natural law is -180 days 91 days, 3 are entered as,；When morbidity's natural law is more than 180 days, it is entered as
4；
X3Treatment number of times is represented, when patient's treatment number of times is less than 15 times, 1 is entered as；When patient's treatment number of times is 16 times -30 times
When, it is entered as 2；When patient's treatment number of times is 31 times -45 times, 3 are entered as；When patient's treatment number of times is more than 45 times, assignment
For 4；
X4Oculomotor paralysis coefficient is represented, when patient has oculomotor paralysis, 1 is entered as；When patient does not have dynamic expression in the eyes
When Jing is benumbed, 2 are entered as；
X5Represent socket of the eye wall fracture coefficient；When patient has socket of the eye wall to fracture, 1 is entered as；When patient does not have socket of the eye wall to fracture, assign
It is worth for 2；
Review time is obtained according to recovery from illness probability is：
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%<During p≤50%, review time is
20 days, when recovery from illness probability 51%<During p≤75%, review time is 10 days, when recovery from illness Probability p>When 75%, review time is 5
My god.
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