CN202235300U - Eye movement monitoring equipment - Google Patents
Eye movement monitoring equipment Download PDFInfo
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- CN202235300U CN202235300U CN2011202067718U CN201120206771U CN202235300U CN 202235300 U CN202235300 U CN 202235300U CN 2011202067718 U CN2011202067718 U CN 2011202067718U CN 201120206771 U CN201120206771 U CN 201120206771U CN 202235300 U CN202235300 U CN 202235300U
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- monitoring equipment
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- movement monitoring
- video image
- ocular movement
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Abstract
The utility model relates to eye movement monitoring equipment which comprises a wearing part (A) and an analysis display part (B) which are connected together. A video image acquisition device and head band buckles are arranged on the wearing part (A), wherein the video image acquisition device is used for acquiring a video or an image of eyeballs through an infrared camera. The head band buckles are arranged at both sides of the wearing part (A). An analysis control device, a display device, a storage device and a man-machine interface device are arranged on the analysis display part (B), wherein the analysis control device is used for calculating positions of pupils according to difference of pupils pixels in the grey level and extracting movement data of the eye movement in the horizontal and vertical directions; the display device is used for receiving the eye movement data and the original video or image to display; the storage device is used for receiving a compressed image and an analysis result; and the man-machine interface device is provided with keys. By the eye movement monitoring equipment, the image of the eye movement can be directly observed and recorded and the eye movement state can be analysed, recorded and displayed in a graph mode in real time.
Description
Technical field
This utility model relates to oculomotor monitoring technology, more specifically relates to the ocular movement monitoring equipment.
Background technology
At auricularis section and vestibular function examination medical domain; BPPV (benign positional paroxysmal vertigo; BPPV) be head movement bring out during to a certain ad-hoc location of short duration dizzy, be a kind of have self limiting around the property vestibular disease.This disease sickness rate is higher, accounts for 17%～20% of all peripheral vertigos.BPPV otolith reduction therapy technology is ripe, and the basis of successful reduction therapy is the accurate location of otolith being involved semicircular duct.The level diagnosis of BPPV is all estimated patient's ocular movement situation with resetting based on the doctor at present.
There is the shortcoming of following several respects in existing BPPV level diagnosis with resetting:
1, under a lot of situation ocular movement thinner a little less than, only be easy to be left in the basket with perusal.
2, through the ocular movement of naked eyes direct observation, the result who obtains is rough, and the doctor's that mixed subjective judgment, the lack of quantitative analysis means.
3, patient's ocular movement image data can't be preserved in the checking process.
4, lack data in the checking process, cause to obtain quantitative analysis result with postoperative effect before the art.
5, complex equipments, the patient uses inconvenience, is inappropriate for clinical use.
Above-mentioned defective in the traditional method influences level diagnosis and the follow-up reduction therapy of BPPV easily.Therefore, special method and equipment that need a kind of ability auxiliary doctor accurately diagnoses and treats.
The utility model content
To the problems referred to above, this utility model provides a kind of ocular movement monitoring equipment, comprising:
Portion that wears that connects together and analysis display part;
The said portion of wearing is provided with: video image acquisition device and headband are buckled, wherein
The video image acquisition device is regularly gathered the video or the image of eyeball through infrared camera, and video image is converted into the signal of telecommunication;
Headband is buckled and is arranged on said portion (A) both sides of wearing;
The analysis display part is provided with: Analysis Control Unit, and display device, storage device, human-computer interface device, wherein
The signal of telecommunication that Analysis Control Unit receiver, video image collecting device sends according to the difference of pupil pixel on gray scale, calculates pupil position, extracts the exercise data of oculomotor level, vertical direction;
Eye movement data and raw video image after the analysis of display device receiving and analyzing control device show;
Image and the analysis result of memory device stores after from the compression of Analysis Control Unit; And
Human-computer interface device has button, converts push button signalling into the signal of telecommunication and is transferred to said Analysis Control Unit.
Ocular movement monitoring equipment through this utility model; Can write down and analyze the bring out nystagmus of patient more intuitively, objectively at each position; Can carry out the assessment of accurate level diagnosis and curative effect; And preserved the eye movement data data, also helped further direct clinical practice and teaching and scientific research work.
Description of drawings
Fig. 1 is the block diagram of the ocular movement monitoring equipment of this utility model;
Fig. 2 is the exploded perspective view of an implementation of the ocular movement monitoring equipment of this utility model;
Fig. 3 is that the electric work of ocular movement monitoring equipment shown in Figure 2 can block diagram;
Fig. 4 is the flow chart of the ocular movement monitoring method of this utility model;
Fig. 5 is the sketch map of the ocular movement monitoring result of this utility model.
The specific embodiment
Describe this utility model in detail below in conjunction with accompanying drawing.
Fig. 1 is the block diagram of the ocular movement monitoring equipment of this utility model, and this ocular movement monitoring equipment comprises: video image acquisition device 2, and it regularly gathers the video or the image of eyeball, and video image is converted into the signal of telecommunication; Analysis Control Unit 3, the signal of telecommunication that its receiver, video image collecting device 2 sends carries out graphical analysis to it, extracts the exercise data of oculomotor level, vertical direction; Display device 4, eye movement data after the analysis of its receiving and analyzing control device 3 and raw video image, and show that this video image reaches with the oculomotor level of pictorial display, vertical orientation data; Storage device 6, the image that its receiving and analyzing control device 3 transmits and analysis result and storage, in order to increase storage efficiency, storage again after the signal of telecommunication of video image is compressed.Said ocular movement monitoring equipment also comprises electric supply installation 1, and it can be a battery, or civil power.
In a further embodiment, said video image acquisition device 2 comprises two sub-harvesters, be respectively applied for the motion of gathering an eyeball, thereby the motion that can gather two eyeballs of patient simultaneously provides more rich data Xiang the doctor.Said each sub-harvester comprises infrared camera and is used for the infrared lamp to the infrared camera light filling.
In embodiment further; Said ocular movement monitoring equipment also comprises human-computer interface device 5, and it is used for the doctor Analysis Control Unit is provided with, and comprising: monitoring equipment is set carries out work with preview mode or video recording pattern; The time on date of instrument is set; Browse, delete and play the video file that has write down, the beginning of control video recording, suspend and stop, the beginning that the control video file is play, suspend, stop.
In embodiment further; Said ocular movement monitoring equipment also comprises external interface device 7; It links to each other with storage device 6, can the data of storage in the storage device 6 be exported to the outside through this interface, for example performance more the powerful calculating machine carry out other researchs.
Fig. 2 is the exploded perspective view of an implementation of the ocular movement monitoring equipment of this utility model.Fig. 3 is that the electric work of this ocular movement monitoring equipment can block diagram.As shown in Figure 2, A portion (wearing portion) and B portion (analysis display part) can be fastened togather, and can certainly use other connected modes, and be for example bonding, and screw is fixedly connected.The shell of A portion and B portion is that plastics are processed, to alleviate weight of equipment.The side of wearing of A portion has the arc that meets human face's profile, so that eyeball is pressed close to A portion as far as possible.A portion is provided with battery compartment.
A portion both sides are provided with headband and buckle 207; Be used for the cross-under headband, through headband checkout equipment be fixed to the user head during inspection, eye alignment photographic head 205; In this embodiment; Photographic head has adopted the pin infrared camera, and video image acquisition device 2 comprises first infrared camera 8 and first infrared lamp 9, and second infrared camera 10 and second infrared lamp 11.And in this embodiment, adopting battery powered, battery is arranged in the battery compartment 206, can be so that equipment is more portable.The side of wearing in the A portion also is provided with packing ring glue and increases and wear comfort level.
One PCB circuit board 202 is housed in the B portion, on this PCB circuit board 202, is integrated with Analysis Control Unit 3, human-computer interface device 5, storage device 6 and external interface device 7.Analysis Control Unit 3 can be the device that arm processor, MCU etc. have computing function, and storage device 6 can be nonvolatile memories such as Flash card, EEPROM, and external interface device 7 can be a USB interface etc., and B portion one side has USB interface opening 204.
The ocular movement monitoring method of the ocular movement monitoring equipment realization of this utility model is described below in conjunction with the flow chart of Fig. 4.
In step 401, sampling one two field picture can be set the sampling time interval of every two field picture from video image acquisition device 2, for example is 33 milliseconds.Analysis Control Unit 3 is in the real-time transmission state that is connected with video image acquisition device 2, can directly extract the image that photographic head is taken.
In step 402, Analysis Control Unit 3 is all pixels of scanogram from left to right from top to bottom, can suppose that the image lower left corner is that coordinate is (0,0), according to predefined gray scale threshold values, judges tentatively whether this pixel belongs to the pupil pixel.Preferably set the threshold to 35, when the gray scale of the pixel that scans less than 35 the time, can think that this pixel belongs to pupil, then this pixel is added pupil pixel S set;
In step 403, judge whether to have scanned image, if scanning is not accomplished, then continue scanning, if accomplish, then forward step 404 to;
In step 404, the noise spot that in this step, possibly exist in the removal S set also revises the boundary, for example; For any point in the S set; If its left and right, upper and lower four consecutive points are not the points in the S set, then this point can be judged to be noise spot, then removes this point in the S set.If this is influential to boundary value, then reset boundary value.
In step 405, the boundary value according to record in step 404 is provided with central point, according to central point, S set is divided into four quadrants (1,2,3,4 quadrant), thereby obtains four quadrant S set 1, S2, S3 and S4;
In step 406, from four quadrants, respectively get a pixel, wherein the pixel of 1,3 quadrants constitutes straight line; 2, the pixel of 4 quadrants constitutes straight line; Calculate two collinear joining coordinates, travel through the point in these four quadrants, resulting intersection point is put into the coordinate set S5 of pupil center;
In step 407, judge whether that calculating finishes, continue as not accomplishing then, then change step 408 over to as accomplishing;
In step 408, according to S set 5, the meansigma methods of calculated level, vertical direction, this value is the center point coordinate of pupil;
In step 409, on liquid crystal display screen, describe the analysis result of this two field picture.If continuous acquisition, then flow process turns back to step 401 and restarts to handle the next frame image.
Follow according to sample frequency and image totalframes, calculate in drawing coordinate system, the x value in the coordinate system (initial point of coordinate system is the image lower left corner); According to level, the vertical orientation data of present image, calculate the y value in drawing coordinate system respectively; Draw then.
Fig. 5 has shown the sketch map of an ocular movement monitoring result; In level, vertical orientation data display co-ordinate system 512, the data of curve 513 expression horizontal directions, the data of curve 514 expression vertical direction; When the numerical value of curve on the Y axle of horizontal data increases gradually; The expression pupil moves right, and when numerical value reduced gradually, the expression pupil was to left movement; When the numerical value of curve on the Y axle of vertical data increases gradually, the expression pupil move upward, when numerical value gradually more after a little while, the expression pupil move downward; In view of the above, the doctor can clearly be known the movement locus of eyeball from two curves.
The above is the preferred embodiment of this utility model.Should be pointed out that for a person skilled in the art,, can also make some modification and improvement, and the present technique scheme is in the application in other similar fields, but these all fall into the protection domain of this utility model based on the same principle of this utility model.
Claims (7)
1. an ocular movement monitoring equipment is characterized in that, comprising:
Portion that wears (A) that connects together and analysis display part (B);
The said portion (A) that wears is provided with: video image acquisition device and headband are buckled, and wherein the video image acquisition device is regularly gathered the video or the image of eyeball through infrared camera, and video image is converted into the signal of telecommunication;
Headband is buckled and is arranged on said portion (A) both sides of wearing;
Analyzing display part (B) is provided with: Analysis Control Unit, and display device, storage device and human-computer interface device, wherein
The signal of telecommunication that Analysis Control Unit receiver, video image collecting device sends according to the difference of pupil pixel on gray scale, calculates pupil position, extracts the exercise data of oculomotor level, vertical direction;
Eye movement data and raw video image after the analysis of display device receiving and analyzing control device show;
Image and the analysis result of memory device stores after from the compression of Analysis Control Unit; And
Human-computer interface device has button, converts push button signalling into the signal of telecommunication and is transferred to said Analysis Control Unit.
2. ocular movement monitoring equipment according to claim 1 is characterized in that, the said portion (A) that wears is provided with battery compartment.
3. ocular movement monitoring equipment according to claim 1 is characterized in that, said analysis display part (B) is provided with external interface device, and external computing device is visited said storage device through it.
4. ocular movement monitoring equipment according to claim 1 is characterized in that, the said side of wearing of wearing portion (A) has the arcuation profile that cooperates people's face eye.
5. ocular movement monitoring equipment according to claim 1 is characterized in that, said wearing worn side in the portion (A) and be provided with packing ring glue.
6. ocular movement monitoring equipment according to claim 2 is characterized in that, saidly wears portion (A) and said analysis display part (B) is fixedly attached to together through engaging, bonding or screw.
7. ocular movement monitoring equipment according to claim 1 is characterized in that, said video image acquisition device comprises two infrared lamps.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202067718U CN202235300U (en) | 2011-06-17 | 2011-06-17 | Eye movement monitoring equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202067718U CN202235300U (en) | 2011-06-17 | 2011-06-17 | Eye movement monitoring equipment |
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| Publication Number | Publication Date |
|---|---|
| CN202235300U true CN202235300U (en) | 2012-05-30 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011202067718U Expired - Fee Related CN202235300U (en) | 2011-06-17 | 2011-06-17 | Eye movement monitoring equipment |
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| CN (1) | CN202235300U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012171405A1 (en) * | 2011-06-17 | 2012-12-20 | 北京爱生科贸有限公司 | Eyeball movement monitoring method and device |
| WO2014182769A1 (en) * | 2013-05-07 | 2014-11-13 | The Johns Hopkins University | Automated and non-mydriatic fundus-perimetry camera for irreversible eye diseases |
| CN105095840A (en) * | 2014-05-22 | 2015-11-25 | 兰州大学 | Multidirectional nystagmus signal extraction method based on nystagmus image |
| CN106793942A (en) * | 2014-02-10 | 2017-05-31 | 华柏恩视觉诊断公司 | System, method and apparatus for measuring eye movement and pupillary reaction |
-
2011
- 2011-06-17 CN CN2011202067718U patent/CN202235300U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012171405A1 (en) * | 2011-06-17 | 2012-12-20 | 北京爱生科贸有限公司 | Eyeball movement monitoring method and device |
| WO2014182769A1 (en) * | 2013-05-07 | 2014-11-13 | The Johns Hopkins University | Automated and non-mydriatic fundus-perimetry camera for irreversible eye diseases |
| CN106793942A (en) * | 2014-02-10 | 2017-05-31 | 华柏恩视觉诊断公司 | System, method and apparatus for measuring eye movement and pupillary reaction |
| CN105095840A (en) * | 2014-05-22 | 2015-11-25 | 兰州大学 | Multidirectional nystagmus signal extraction method based on nystagmus image |
| CN105095840B (en) * | 2014-05-22 | 2019-05-07 | 兰州大学 | Multi-direction upper nystagmus method for extracting signal based on nystagmus image |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: LI BO Free format text: FORMER OWNER: BEIJING ISEN TECH. + TRADING LTD. Effective date: 20120705 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20120705 Address after: 100086, block 1, building 4, building 2, South Main Street, No. 509, Beijing, Haidian District, Zhongguancun, A Patentee after: Li Bo Address before: 100086, block 1, building 4, building 2, South Main Street, No. 509, Beijing, Haidian District, Zhongguancun, A Patentee before: Beijing Isen Technology Trade Co.,Ltd. |
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| ASS | Succession or assignment of patent right |
Owner name: BEIJING ISEN TECH. + TRADING LTD. Free format text: FORMER OWNER: LI BO Effective date: 20120725 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20120725 Address after: 100086, block 1, building 4, building 2, South Main Street, No. 509, Beijing, Haidian District, Zhongguancun, A Patentee after: Beijing Isen Technology Trade Co.,Ltd. Address before: 100086, block 1, building 4, building 2, South Main Street, No. 509, Beijing, Haidian District, Zhongguancun, A Patentee before: Li Bo |
|
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120530 Termination date: 20150617 |
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| EXPY | Termination of patent right or utility model |