CN109410293A - Blink waveform drawing drawing method and device - Google Patents
Blink waveform drawing drawing method and device Download PDFInfo
- Publication number
- CN109410293A CN109410293A CN201811219267.4A CN201811219267A CN109410293A CN 109410293 A CN109410293 A CN 109410293A CN 201811219267 A CN201811219267 A CN 201811219267A CN 109410293 A CN109410293 A CN 109410293A
- Authority
- CN
- China
- Prior art keywords
- eyelid
- blink
- moving image
- opening degree
- spacing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/203—Drawing of straight lines or curves
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Eye Examination Apparatus (AREA)
Abstract
本发明涉及一种眨眼波形图绘制方法及装置，该眨眼波形图绘制方法以眼睑开合度和时间分别为坐标轴得到眨眼波形图。通过与正常的或者患病的眨眼波形图对比，进而能够对于患者眼表疾病进行简易、高效的初步评估，有助于患者做出进一步治疗的建议。
The invention relates to a method and a device for drawing a blinking waveform diagram. The eyelid opening and closing degree and time are respectively used as coordinate axes to obtain the blinking waveform diagram. By comparing with normal or diseased blink waveforms, a simple and efficient initial assessment of the patient's ocular surface disease can be made, which is helpful for the patient to make recommendations for further treatment.
Description
Technical field
The present invention relates to eye surface diseases diagnostic device technical field more particularly to a kind of blink waveform drawing drawing methods and dress
It sets.
Background technique
Anatomically eye surface is ocular covering weave, mainly conjunctiva and cornea tissue included by upper and lower margo palpebrae.Tear
Gland, lacrimal passage and tear film are also the important component of maintenance eye surface health, thus are also the included range of eye surface diseases.
Therefore, eye surface diseases refer to a kind of disease of the damage of angle conjunctiva structure or function caused by having a variety of causes.
For eye surface diseases, the Accurate Diagnosis of early stage has good preventive effect for treatment.
Currently, outpatient service or clinically total including slit-lamp microscope, cornea about the assessment of eye surface diseases mainly use
The devices such as focusing microscope, prosthomere OCT, practical above-mentioned apparatus is a kind of professional very strong inspection apparatus, it usually needs by passing through
Specialist abundant is tested to operate.When general patient ophthalmic uncomfortable, oneself can not carry out simple, efficient, non-contacting inspection
It surveys, often affects diagnosing and treating adversely due to lazy, this brings very big puzzlement to patient.
Therefore, it is a kind of can it is simple, efficiently, the eye surface diseases diagnostic device that is suitble to amateur crowd to use seem especially heavy
It wants.
Summary of the invention
For above-mentioned background, the embodiment of the present invention is intended to disclose a kind of blink waveform drawing drawing method and device, can
The waveform diagram of patient's blink process is obtained, by being compared with normal or illness blink waveform diagram, and then can be for suffering from
Person's eye surface diseases carry out simple, efficient entry evaluation, facilitate patient and make the suggestion further treated.
In order to achieve the above object, the invention provides the following technical scheme:
A kind of blink waveform drawing drawing method, comprising:
Obtain the moving image of upper palpebra inferior during blink in certain time；
It identifies moving image, obtains eyelid spacing；
Eyelid opening degree is obtained by eyelid distance computation；
It is respectively that reference axis obtains blink waveform diagram with eyelid opening degree and time.
Preferably, described that eyelid opening degree is obtained by eyelid distance computation are as follows: eyelid spacing d when calculating blink and normal
Eyelid spacing d when eye opening0Ratio, be denoted as eyelid opening degree a,
A=d/d0× 100%.
A kind of device, described device can obtain blink waveform diagram, and the blink waveform diagram is prepared into the following method
It arrives:
Obtain the moving image of upper palpebra inferior during blink in certain time；
It identifies moving image, obtains eyelid spacing；
Eyelid opening degree is obtained by eyelid distance computation；
It is respectively that reference axis obtains blink waveform diagram with eyelid opening degree and time.
Preferably, it before the moving image of upper palpebra inferior in the process that obtains blinking in certain time, needs eyelid
Margo palpebrae colours completely.
It is preferably, described to colour eyelid margo palpebrae completely specifically:
It is intracapsular that lissamine green eye drops is instilled into lower tarsal conjunctiva, waits coloured completely to eyelid margo palpebrae within 5 seconds.
Preferably, the identification moving image are as follows: the eyelid up and down in identification moving image.
Preferably, described that eyelid opening degree is obtained by eyelid distance computation are as follows: eyelid spacing d when calculating blink and normal
Eyelid spacing d when eye opening0Ratio, be denoted as eyelid opening degree a,
A=d/d0× 100%.
Technical solution of the present invention can include the following benefits:
The blink waveform diagram proposed according to the present invention is a kind of novel assessment ocular for the tentative diagnosis of eye surface diseases
The method of disease, checking process can be completed completely by layman, meanwhile, examiner can be by comparing normal blink wave
Shape figure obtains preliminary inspection result.
The device that disclosed blink waveform drawing drawing method obtains according to the present invention, can be applied to such as hospital, family
In, facilitate the diagnosis and treatment of eye surface diseases.
The additional aspect of the application and advantage will be set forth in part in the description, and will partially become from the following description
It obtains obviously, or recognized by the practice of the application.It should be understood that above general description and following detailed description are only
Be it is exemplary and explanatory, the application can not be limited.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is schematic diagram of the d of eyelid spacing described in the embodiment of the present invention under normal eyes-open state.
Fig. 2 is schematic diagram of the d of eyelid spacing described in embodiment of the present invention during blink.
Fig. 3 is schematic diagram of the d of eyelid spacing described in the embodiment of the present invention under complete closed-eye state.
Fig. 4 is a specific example of blink waveform diagram described in the embodiment of the present invention；
Wherein, A-B: closing one's eyes the phase, B-C: the closure phase, C-D: early stage opens eyes the phase, D-E: advanced stage opens eyes the phase, E-A2: the blink phase
Between；
A-E is that blink, A2-E2 are incomplete blink completely.
Fig. 5 is the blink waveform diagram comparative diagram of different eye surface diseases in the embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to each reality of the invention
The mode of applying is explained in detail.However, it will be understood by those skilled in the art that in each embodiment of the present invention,
Many technical details are proposed in order to make reader more fully understand the present invention.But even if without these technical details and base
In the various changes and modifications of following embodiment, each claim technical side claimed of the present invention also may be implemented
Case.
Present invention applicant is in practice, it has been found that when most of patients ocular exception, it may appear that different degrees of ocular foreign bodies
Sense, the blink frequency increase or reduce, Blink rate it is abnormal etc.；The waveform diagram changed over time by drawing eyelid opening degree
Picture, can be with indirect assessment eye surface diseases, such as xerophthalmia, keratoconjunctivitis sicca etc. using its waveform variation characteristic.
In conjunction with Fig. 1~3, in the present invention, eyelid spacing d is the maximum distance of upper and lower eyelid curve, Fig. 1, Fig. 2 and figure
3 be schematic diagram of the eyelid spacing d proposed by the present invention under normal eye opening, blink, complete closed-eye state respectively.
A kind of blink waveform drawing drawing method, comprising:
Obtain the moving image of upper palpebra inferior during blink in certain time；
It identifies moving image, obtains eyelid spacing；
Eyelid opening degree is obtained by eyelid distance computation；
It is respectively that reference axis obtains blink waveform diagram with eyelid opening degree and time.
Different eye surface diseases patients, the frequency, the amplitude of blink etc. of blink have difference, therefore process energy of blinking
Enough reflect eye surface diseases.
The above method has been obtained eyelid opening degree and has been changed with time waveform by blink process in record certain time
Figure, i.e. blink waveform diagram, pass through the blink waveform of patient's blink waveform diagram and normal blink waveform diagram or different eye surface diseases
Figure control, is able to reflect the ocular situation of patient, carries out simple, efficient entry evaluation for patient's eye surface diseases and is helped
Benefit facilitates patient and makes the suggestion further treated.
Wherein, in the above method, it is to be understood that the motion diagram of upper palpebra inferior during the blink obtained within a certain period of time
As the motion process image for palpebra inferior upper within the time；It can be clapped by cameras capture, or by the way that high speed is continuous
According to obtaining.
In a kind of preferred embodiment, the moving image for obtaining upper palpebra inferior during blink in certain time it
Before, it needs completely to colour eyelid margo palpebrae, which can protrude the feature of eyelid in moving image, reach more preferable identification
Purpose, reduce eyelid spacing error.
It is preferably, described to colour eyelid margo palpebrae completely specifically:
It is intracapsular that lissamine green eye drops is instilled into lower tarsal conjunctiva, waits coloured completely to eyelid margo palpebrae within 5 seconds.
In a kind of preferred embodiment, the identification moving image are as follows:
Identify the eyelid up and down in moving image；
Wherein, recognition methods including but not limited to manually marks, utilizes the image detections such as threshold process, edge detection
Method extracts edge image, and obtains curvilinear equation using the solution of the methods of fitting of a polynomial.
Preferably, the identification moving image is the boundary curve that eyelid image is extracted using edge detection algorithm.
It is described to obtain eyelid spacing in a kind of preferred embodiment are as follows:
The highest point of upper eyelid boundary curve and the minimum point of lower edge curve are calculated, and finds out hanging down between two o'clock
To distance, i.e. eyelid spacing.
It is described that eyelid opening degree is obtained by eyelid distance computation in a kind of preferred embodiment are as follows: to calculate eye when blink
Eyelid spacing d when eyelid spacing d and normally eye opening0Ratio, be denoted as eyelid opening degree a,
A=d/d0× 100%.
In the present invention, in conjunction with Fig. 4, blink is divided into 5 processes: phase of closing one's eyes, closure phase, early stage open eyes phase, advanced stage eye opening
During phase and blink.
Eyelid opening degree is the 100% complete eyes-open state of expression, i.e. eyelid spacing is d0；
Eyelid opening degree is the 0% complete closed-eye state of expression, i.e. eyelid spacing is 0；
The eyelid opening degree of blink phase completely reaches 100% expression and blinks completely, and indicates endless less than 100% blink
Full blink.
The embodiment of the present invention further relates to a kind of device, which can obtain blink waveform diagram, and the blink waveform diagram is adopted
It is prepared with the following method:
Obtain the moving image of upper palpebra inferior during blink in certain time；
It identifies moving image, obtains eyelid spacing；
Eyelid opening degree is obtained by eyelid distance computation；
It is respectively that reference axis obtains blink waveform diagram with eyelid opening degree and time.
Wherein, it before the moving image of upper palpebra inferior in the process that obtains blinking in certain time, needs eyelid eyelid
Edge colours completely, which can protrude the feature of eyelid in moving image, achievees the purpose that more preferably to identify, reduces eyelid
The error of spacing.
It is preferably, described to colour eyelid margo palpebrae completely specifically:
It is intracapsular that lissamine green eye drops is instilled into lower tarsal conjunctiva, waits coloured completely to eyelid margo palpebrae within 5 seconds.
Wherein, the identification moving image are as follows:
Identify the eyelid up and down in moving image；
Recognition methods including but not limited to manually label, using image detecting methods such as threshold process, edge detections,
Edge image is extracted, and obtains curvilinear equation using the solution of the methods of fitting of a polynomial.
Preferably, the identification moving image is the boundary curve that eyelid image is extracted using edge detection algorithm.
It is wherein, described to obtain eyelid spacing are as follows:
The highest point of upper eyelid boundary curve and the minimum point of lower edge curve are calculated, and finds out hanging down between two o'clock
To distance, i.e. eyelid spacing.
Wherein, described that eyelid opening degree is obtained by eyelid distance computation are as follows: calculate blink when eyelid spacing d with normally open
Eyelid spacing d at the moment0Ratio, be denoted as eyelid opening degree a,
A=d/d0× 100%.
Embodiment
As shown in connection with fig. 5, normal, the dry eyes, conjunctivitis, the allusion quotation of keratitis patients to be obtained using the method for the invention
The blink waveform diagram of type can tentatively obtain the type of eye surface diseases by compareing.
The blink waveform diagram proposed according to the present invention is a kind of novel assessment ocular for the tentative diagnosis of eye surface diseases
The method of disease, checking process can be completed completely by layman, meanwhile, examiner can be by comparing normal blink wave
Shape figure obtains preliminary inspection result.
The device that disclosed blink waveform drawing drawing method obtains according to the present invention, can be applied to such as hospital, family
In, facilitate the diagnosis and treatment of eye surface diseases.
The foregoing is merely preferred modes of the invention, are not intended to limit the invention, all in spirit and original of the invention
Within then, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of blink waveform drawing drawing method characterized by comprising
Obtain the moving image of upper palpebra inferior during blink in certain time；
It identifies moving image, obtains eyelid spacing；
Eyelid opening degree is obtained by eyelid distance computation；
It is respectively that reference axis obtains blink waveform diagram with eyelid opening degree and time.
2. blink waveform drawing drawing method according to claim 1, which is characterized in that described to obtain blink in certain time
The moving image of upper palpebra inferior is by cameras capture, or by continuously taking pictures to obtain at a high speed in the process.
3. blink waveform drawing drawing method according to claim 1, which is characterized in that described to obtain blink in certain time
In the process before the moving image of upper palpebra inferior, need completely to colour eyelid margo palpebrae.
4. blink waveform drawing drawing method according to claim 1, which is characterized in that the identification moving image are as follows:
Identify the eyelid up and down in moving image.
5. blink waveform drawing drawing method according to claim 1, which is characterized in that described to be obtained by eyelid distance computation
Eyelid opening degree are as follows: eyelid spacing d and eyelid spacing d when normal open eyes when calculating blink0Ratio, be denoted as eyelid folding
A is spent,
A=d/d0× 100%.
6. a kind of device, which is characterized in that described device can obtain blink waveform diagram, and the blink waveform diagram uses such as lower section
Method is prepared:
Obtain the moving image of upper palpebra inferior during blink in certain time；
It identifies moving image, obtains eyelid spacing；
Eyelid opening degree is obtained by eyelid distance computation；
It is respectively that reference axis obtains blink waveform diagram with eyelid opening degree and time.
7. device according to claim 6, which is characterized in that described to obtain upper palpebra inferior during blinking in certain time
Moving image before, need completely to colour eyelid margo palpebrae.
8. device according to claim 6, which is characterized in that described to colour eyelid margo palpebrae completely specifically:
It is intracapsular that lissamine green eye drops is instilled into lower tarsal conjunctiva, waits coloured completely to eyelid margo palpebrae within 5 seconds.
9. device according to claim 6, which is characterized in that the identification moving image are as follows: in identification moving image
Upper and lower eyelid.
10. device according to claim 6, which is characterized in that described to obtain eyelid opening degree by eyelid distance computation are as follows:
Eyelid spacing d and eyelid spacing d when normal open eyes when calculating blink0Ratio, be denoted as eyelid opening degree a,
A=d/d0× 100%.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811219267.4A CN109410293A (en) | 2018-10-19 | 2018-10-19 | Blink waveform drawing drawing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811219267.4A CN109410293A (en) | 2018-10-19 | 2018-10-19 | Blink waveform drawing drawing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109410293A true CN109410293A (en) | 2019-03-01 |
Family
ID=65468472
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811219267.4A Pending CN109410293A (en) | 2018-10-19 | 2018-10-19 | Blink waveform drawing drawing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109410293A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112052721A (en) * | 2020-07-16 | 2020-12-08 | 北京邮电大学 | Blink waveform generation method, device and device based on deep learning |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060077064A1 (en) * | 2004-09-29 | 2006-04-13 | Baura Gail D | Blink monitor for detecting blink occurrence in a living subject |
| CN101523411A (en) * | 2006-11-06 | 2009-09-02 | 丰田自动车株式会社 | Eye opening detection system and method of detecting eye opening |
| WO2021001296A1 (en) * | 2019-07-03 | 2021-01-07 | Vivior Ag | Eye blink sensor and method of examining blinking of an eye of a user |
-
2018
- 2018-10-19 CN CN201811219267.4A patent/CN109410293A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060077064A1 (en) * | 2004-09-29 | 2006-04-13 | Baura Gail D | Blink monitor for detecting blink occurrence in a living subject |
| CN101523411A (en) * | 2006-11-06 | 2009-09-02 | 丰田自动车株式会社 | Eye opening detection system and method of detecting eye opening |
| WO2021001296A1 (en) * | 2019-07-03 | 2021-01-07 | Vivior Ag | Eye blink sensor and method of examining blinking of an eye of a user |
Non-Patent Citations (5)
| Title |
|---|
| 吴元等: "干燥综合征患者眼部症状和体征的一致性分析", 《眼科》 * |
| 吴元等: "干燥综合征患者眼部症状和体征的一致性分析", 《眼科》, no. 03, 25 May 2010 (2010-05-25), pages 170 - 173 * |
| 朱振华;吴晓娟;王磊;亓磊;: "基于眨眼持续时间的司机疲劳检测方法", 计算机工程, no. 05, pages 201 - 203 * |
| 朱振华等: "基于眨眼持续时间的司机疲劳检测方法", 《计算机工程》 * |
| 朱振华等: "基于眨眼持续时间的司机疲劳检测方法", 《计算机工程》, no. 05, 5 March 2008 (2008-03-05), pages 201 - 203 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112052721A (en) * | 2020-07-16 | 2020-12-08 | 北京邮电大学 | Blink waveform generation method, device and device based on deep learning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mary et al. | Retinal fundus image analysis for diagnosis of glaucoma: a comprehensive survey | |
| JP5582772B2 (en) | Image processing apparatus and image processing method | |
| Tian et al. | Automatic anterior chamber angle assessment for HD-OCT images | |
| Khalil et al. | Review of machine learning techniques for glaucoma detection and prediction | |
| Kumar et al. | Detection of Glaucoma using image processing techniques: A review | |
| Hassan et al. | Automated retinal edema detection from fundus and optical coherence tomography scans | |
| US20190274536A1 (en) | Diagnostic tool for eye disease detection using smartphone | |
| Khan et al. | CDR based glaucoma detection using fundus images: a review | |
| CN110575134A (en) | method for calculating myopia degree based on eccentric photography | |
| Khalil et al. | A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage | |
| Quinn et al. | Retinal blood vessel segmentation using curvelet transform and morphological reconstruction | |
| CN115670370A (en) | Retina imaging method and device for removing vitreous opacity spots of fundus image | |
| CN109410293A (en) | Blink waveform drawing drawing method and device | |
| Bhangdiya | Cholesterol presence detection using iris recognition | |
| Cheng et al. | Closed angle glaucoma detection in RetCam images | |
| Mehta et al. | Glaucoma detection with retinal fundus images | |
| CN105279774B (en) | A kind of ametropic digitized image recognition methods | |
| Sahoo et al. | A novel optic disc and blood vessel detection algorithm | |
| Hussain | Optic nerve head segmentation using genetic active contours | |
| Bhat et al. | Automated retinal optic disc detection using pixel based multi fractal analysis | |
| Lotankar et al. | Glaucoma Screening using Digital Fundus Image through Optic Disc and Cup Segmentation | |
| Devi et al. | Composite filtering and morphology for optic disc segmentation from retinal images | |
| Prabakar et al. | Implementation of stochastic approach for vessel and ridge studies in retinopathy of prematurity screening | |
| Pathan et al. | Segmentation techniques for computer-aided diagnosis of glaucoma: A review | |
| Sheeba et al. | Prediction of Pigment Epithelial Detachment in Optical Coherence Tomography Images using Machine Learning. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190301 |
|
| RJ01 | Rejection of invention patent application after publication |