CN1871994A - Digital system for detecting dynamic change of bilateral eye pupils - Google Patents
Digital system for detecting dynamic change of bilateral eye pupils Download PDFInfo
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- CN1871994A CN1871994A CN 200610010999 CN200610010999A CN1871994A CN 1871994 A CN1871994 A CN 1871994A CN 200610010999 CN200610010999 CN 200610010999 CN 200610010999 A CN200610010999 A CN 200610010999A CN 1871994 A CN1871994 A CN 1871994A
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Abstract
A digital test system for detecting the dynamic variation of two pupils is composed of a hardware system consisting of light isolating eye mask, miniature camera, focus distance and pupil distance regulator, image acquisition card and computer, and a software system comprising the image acquiring, extracting and storing module, image and video playback module, database and its management module, light stimulating program module, disease characteristics database module, expert database module, and expert judgment and management module.
Description
Technical field:
The present invention relates to a kind of digital system for detecting dynamic change of bilateral eye pupils, belong to cognitive psychology, neurobiology and medical science detection range based on optics and computer digit imaging technique.
Background technology:
Domestic and international research shows, dwindling and enlarging of pupil not only is subjected to the influence of brightness on the retina, also be subjected to simultaneously to control from the top-down information of cerebral cortex, and relevant with tested factors such as emotional state, mental workload and cognitive competence.
In anatomy, the contraction of pupil is the reflection of sympathetic nervous system and parasympathetic nervous system function balance with enlarging.Sympathetic activation produces platycoria.The parasympathetic nervous exciting signal makes and expands about flesh contraction, produces myosis.
In the neurobiochemistry, the contraction of pupil and expansion are by acetylcholine and two kinds of neurotransmitter decisions of norepinephrine, norepinephrine platycoria.Acetylcholine myosis.Therefore, the change of pupil size is the balance of parasympathetic and sympathetic nervous system function, the balance of acetylcholine and norepinephrine.
Because this sensitivity characteristic of pupil, pupillary reaction detect and are widely used in ambits such as disease of brain clinical diagnosis, psychopathology, cognitive psychology and physiology.As: 1, the complication of the eye of diabetics.2, detection is driven when intoxicated and fatigue driving.3, the judgement of depression.4, the differentiation of drug addiction and evaluation.5, detection of brain intracranial pressure etc.
In sum, pupillary reaction is widely used in ambits such as clinical medicine, psychopathology, cognitive psychology and physiology, is the reliable parameter of exploring brain function, also is one of early diagnosis index of multiple disease simultaneously.
To the observation of pupil, at present domesticly only be confined to experienced doctor's visual observations, or observe with some common tools (as Ruler for measuring pupil, pupil observation mirror etc.).These observation methods all need the observer to come the acquisition experience by long training, to reach certain proficiency level.And existing testing tool such as Ruler for measuring pupil is difficult to guarantee the accuracy measured more can't provide the accurate motor pattern that pupil changes with environmental stimuli in time, also can't observe the changing condition of pupil of both eyes simultaneously.Therefore, accurate detection, analysis and the evaluation and test to human pupil dynamic change situation still is blank at present.
Up to now, still find no and technical solution of the present invention and equipment class open report together.
Summary of the invention:
The object of the present invention is to provide a kind of digital system for detecting dynamic change of bilateral eye pupils accurate, convenient and swift, simple to operate of measuring.But the mechanism that the central nervous system processes and controls various information is explored on this system non-invasi ground.
The present invention utilizes digital computer technology, utilize the portable eyeshield of design, the low-light environment that is fit to ophthalmologic examination is provided, eyes to the people carry out while imaging and demonstration, precision with 0.05 millimeter, accurately measure the pupil of both eyes diameter value, and utilize the certain strength light of various modes to stimulate, measure the dynamic change that the pupil of both eyes diameter value produces along with given variation light.This detection system also provides pupil diameter image and video data playback function, powerful database managerial function also is provided, can farthest make things convenient for doctor and researcher to utilize pupil to change this physical signs, carry out preclinical medicine and neurobiology research, also can greatly make things convenient for the clinicist to carry out the experience exchangement and the teaching research of specific case history.
Realization principle of the present invention is as follows:
This digital system for detecting dynamic change of bilateral eye pupils divides desk-top and portable two kinds.This system can accurately control the illuminance that enters eyes, accurately gathers movements binocular track and pupil of both eyes diameter and the area value under the different light degree.
The present invention has adopted technology such as optics, machine vision and computer digital image processing, can discern pupil of both eyes dynamic change numerical value (Fig. 1) real-time and accurately.And the Digital Image Data of gathering carried out analysis and distinguishing.And can carry out analysis and distinguishing with different software according to various disease.For the user in each field provides reliable diagnostic, result of determination.
The present invention includes system hardware and systems soft ware; System hardware is by forming every light eyeshield, microcam, focal length and pupil spacing adjusting device, image pick-up card, computer; Systems soft ware is by image acquisition place, extracting and memory module, image and video playback module, and data base and administration module thereof, photostimulation program module, various disease characteristic library modules, the expert data library module, the expert differentiates administration module and forms.
Content of the present invention (seeing accompanying drawing 1 and Fig. 2) specific as follows:
1. every the light eyeshield:
Structure can be isolated the inside and outside boundary of eyeshield light source fully, and provide the 0.02-0.2 lumen stable dark situation with existing optical glasses, gets rid of various external interference effectively.
2. microcam:
Be installed in the light eyeshield, constitute eyes and pupil image acquisition system.Video camera is infrared black-white CCD pinhole cameras.The infrared illumination parts that 960 nanometers (nm) are arranged in the light eyeshield (commercially available), video camera is imaging accurately.Solved because the interference of the brown iris of yellow with this this design, be difficult to write down the difficulty of pupil image, solved simultaneously other digital eye movements monitor instruments can not imaging in dark surrounds a difficult problem.
3. optical reflection refracting means (commercially available):
Be installed in the light eyeshield, make the thorn lasing light emitter from infinite distant place.To guarantee that task light can drop on center, the measured visual field, get rid of the error interference that artificial lucifuge of measured and photostimulation itself cause.
4. focal length and pupil spacing adjusting device (commercially available):
Different people, its eye socket depth and eyes interocular distance are also inconsistent, in order to adapt to this different situation, the focal length and the pupil spacing adjusting device of manual adjustments can be regulated, also can be carried out to assembling one according to measured's concrete condition on the slideway that is used for fixing two minisize pick-up heads that monitor eyes.Guaranteed video camera can be fast to pupil carry out accurately, clearly imaging.
5. light stimulus system:
Comprise the parts (commercially available) that bias light and task light are provided, two eyes respectively possess a cover, and can independent regulation.
6. image pick-up card:
Be the video frequency collection card of binary channel, gather the binocular images of two photographic head record simultaneously, video data reads analysis by microcomputer, with Windows as operating platform.Video capture window resolution is optional, and maximum is 640 * 480 pixels square, and default value is 320 * 240 pixels square, and the precision of record pupil diameter is not less than 0.05 millimeter.25 frame/seconds of sample rate, every two field picture is the black white image of color depth 12 (bit).Real-time analysis behind the calculator memory is read in the DirectX developing instrument collection that video data provides with Microsoft, data, utilizes Flame Image Process to separate pupil image with machine vision technique, calculates pupil diameter and area, and time precision is 40 milliseconds.
The pupil of both eyes video image acquisition is shown on the computer screen behind the computer the inside in real time.Applied Digital image processing techniques and digital video image treatment technology, filtering is found pupil boundary because the bright spot that the luminous reflectance that background infrared illumination and visible light stimulation produce causes is disturbed on cornea, calculate pupil diameter and area.And by algorithm for pattern recognition, find out the interference that bring nictation, filtering ripple nictation, and calculate the number of in a period of time, blinking.In the pupillary movements process, the diameter value (mm of unit) that important characteristic index is a pupil in the time of abundant dark adaptation, give photostimulation after pupil contraction to the diameter value (mm of unit) of smallest point, give light after pupil contraction to the maximal rate (mm/ms) and the peak acceleration (mm/ms2) of time (ms of unit) of minima, pupil vary in diameter in contraction process and give behind the light in a period of time, pupil is owing to the progressively slope (mm/ms of unit) of expansion of photopia generation.These data and the pupil video data that collects together code storage to hard disc of computer.(Fig. 2) video data reads analysis by computer.
7. computer:
All types of computers all can at present.In order to specific image data acquiring analysis software to be installed.
8. image data acquiring analysis software:
This software comprises image acquisition, extracting and memory module; Image and video playback module; The photostimulation program module; The various disease characteristic of D library module; The expert data library module; The expert differentiates administration module; Data base and administration module thereof are formed (seeing accompanying drawing 2).
Performing step of the present invention is as follows:
Step 1 allows the measured be with every the light eyeshield.Allow tested adaptation dark situation 3-5 minute.
Step 2 computer utilizes image acquisition, extracting and memory module software records measured laundering period eye pupil view data.
Step 3 is given the photostimulation of measured with different illumination respectively by the photostimulation program module.
Step 4 image acquisition, extracting and memory module recording light stimulate down, the digital picture of measured's eye movement and pupil.
Step 5 stops photostimulation, and image acquisition, extracting and memory module are noted black out back 5 minutes eye movement and pupil digital picture.
Step 6 runs image processing software module to digital picture compare, calculation process such as digestion, appliance computer digital image processing techniques and digital video image treatment technology, filtering is because the bright spot interference that the luminous reflectance that background infrared illumination and visible light stimulation produce on cornea causes, find pupil boundary, calculate pupil diameter and area.And by algorithm for pattern recognition, find out the interference that bring nictation, filtering ripple nictation, and calculate the number of in a period of time, blinking.These data and the pupil video data that collects together code storage to hard disc of computer.
Step 7 is differentiated the result with corresponding sick DBM and expert's discrimination module of planting.Make detection, result of determination at last.And output print.
Step 8 accesses image and video playback module, can access image and video according to different requirements, helps the further research of doctor and researcher and mutual exchanging and teaching.
The present invention has following advantage:
The present invention is record analysis eyes eye movement and pupil movement simultaneously, be not subjected to the influence of indoor and outdoor lighting environment, under various environment, guaranteed the concordance of test condition, obtain and darkroom environment similar data, adaptability is strong, the spatial accuracy height, easy to operate, meet the needs of clinical diagnosis and basic research.Have very big advantages such as practicality.
Description of drawings:
Fig. 1 is the digital system for detecting dynamic change of bilateral eye pupils connection diagram
Fig. 2 is the digital system for detecting dynamic change of bilateral eye pupils software block diagram
The pupil dilation contractible graph of Fig. 3 for drawing after the digital system for detecting dynamic change of bilateral eye pupils analysis.
The specific embodiment:
Insane diagnosis of embodiment 1:(and treatment recover to estimate)
1, the patient puts on an eyeshade, and allows the patient adapt to the interior dark situation (3-5 minute) of eyeshield
2, computer cooperates the digital picture of patient's pupil of both eyes adaptation dark situation process in image acquisition, extracting and the memory module record dark situation.
3, with the instruction in the psychosis differentiation photostimulation module in the software, respectively patient's eyes are carried out photostimulation, and write down its pupillary movements digital picture result.
4, stop to stimulate the dynamic digital image result of image acquisition, extracting and memory module record patient eyes recovery process.
5, image processing module to digital picture compare, calculation process such as digestion, with psychosis DBM and expert's discrimination module the result is differentiated.
6, result's output.Automatically generate database, the preservation of filing outputs to printer by computer parallel port and USB excuse, prints check result.
7, the doctor carries out the ill disease of institute to this check result to the patient and estimates.
Embodiment 2:(drug abuse patient's addiction is differentiated)
1, the patient puts on an eyeshade, and allows the patient adapt to the interior dark situation (3-5 minute) of eyeshield.
2, computer cooperates the digital picture of patient's pupil of both eyes adaptation dark situation process in image acquisition, extracting and the memory module record dark situation.
3, call instruction in the photostimulation module that drug abuse patient in the software differentiates, patient's eyes are carried out photostimulation respectively, and write down its pupillary movements digital picture result.
4, black out the back after 1-3 minute, image acquisition, extracting and memory module record patient eyes dynamic change digital picture result.
5, with image processing software last testing result is carried out image operation and handle, the result is differentiated with drug addict's addiction analysis and distinguishing module and expert's discrimination module.
6, after eye splashes into morphine antagonist, repeat the 1-5 step, the patient is further made a definite diagnosis.
7, with drug addict's DBM and expert's discrimination module the result is differentiated.Make detection, result of determination at last.And output print.
8, judge that conclusion generates patient's archive database automatically, file and preserve; Conclusion can output to printer by computer parallel port and USB excuse.
9, the doctor to patient's interim evaluation of giving up that proposes to quit drug abuse, and can carry out the whether judgement of consume illegal drugs to tested personnel according to result of determination.
Utilize this system that the result that a large amount of patients carry out course of disease monitoring is shown that this system reaches designing requirement fully.
This detection system also can be used for other as the detection of the detection of brain intracranial pressure, visual system disease aspect etc. except above-mentioned utilization.
Claims (1)
1, merges the pupil of both eyes dynamic change digital measuring system that optical technology, machine vision technique and computer digital image treatment technology constitute, comprise system hardware and systems soft ware; System hardware is made up of microcam, image pick-up card, computer; Systems soft ware is by image acquisition, extracting and memory module, image and video playback module, and data base and administration module thereof are formed; It is characterized in that:
(1) system hardware also comprises every light eyeshield and focal length and pupil spacing adjusting device, wherein:
A., the infrared illumination parts and the optical reflection refracting means of 960 nanometers are housed in the light eyeshield, and the working environment in the light eyeshield is the stable dark situation of 0.02-0.2 lumen;
B. be assemblied on the slideway that is used for fixing two minisize pick-up heads that monitor eyes in the pupil spacing adjusting device of the position on the slideway, focal length and pupil spacing by adjusting knob fine setting photographic head;
(2) systems soft ware also comprises the photostimulation program module, various disease characteristic library modules, and the expert data library module, the expert differentiates administration module.
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| CN 200610010999 CN1871994A (en) | 2006-06-29 | 2006-06-29 | Digital system for detecting dynamic change of bilateral eye pupils |
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| CN 200610010999 CN1871994A (en) | 2006-06-29 | 2006-06-29 | Digital system for detecting dynamic change of bilateral eye pupils |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100534379C (en) * | 2007-08-29 | 2009-09-02 | 中国人民解放军第三军医大学第一附属医院 | Eye movement testing and analyzing equipment |
| CN102018519B (en) * | 2009-09-15 | 2012-09-05 | 由田新技股份有限公司 | Staff concentration degree monitoring system |
| CN102831417A (en) * | 2012-08-20 | 2012-12-19 | 陈剑军 | Binocular iris image acquisition device |
| CN103169485A (en) * | 2013-02-01 | 2013-06-26 | 广东平成广告有限公司 | Cognition curve generation system and cognition curve generation method based on video |
| CN103610455A (en) * | 2013-10-17 | 2014-03-05 | 中国人民解放军***总医院 | Device for detecting intracranial pressure |
| CN104068824A (en) * | 2014-06-18 | 2014-10-01 | 荔志云 | Portable pupil response sensitivity testing device |
| CN104545787A (en) * | 2014-12-12 | 2015-04-29 | 许昌红 | Wearable pupil light reflex measurement equipment |
| CN104739367A (en) * | 2015-03-14 | 2015-07-01 | 中国科学院苏州生物医学工程技术研究所 | Binocular pupil light synthetic detection system |
| CN104905765A (en) * | 2015-06-08 | 2015-09-16 | 四川大学华西医院 | FPGA implementation method based on Camshift algorithm in eye movement tracking |
| CN105125167A (en) * | 2015-08-21 | 2015-12-09 | 陶勇 | Ocular examination method and apparatus based on intelligent video collection and analysis |
| CN105259675A (en) * | 2015-11-17 | 2016-01-20 | 来康（厦门）科技有限公司 | Intelligent glasses capable of detecting healthy state of human body |
| WO2016131244A1 (en) * | 2015-07-10 | 2016-08-25 | 中兴通讯股份有限公司 | User health monitoring method, monitoring device, and monitoring terminal |
| CN107865724A (en) * | 2017-05-26 | 2018-04-03 | 飞亚达（集团）股份有限公司 | One kind rescue glasses and its light-regulating method |
| CN108968910A (en) * | 2018-08-14 | 2018-12-11 | 哈尔滨海鸿基业科技发展有限公司 | Diabetic eye diseases early screening device |
| CN109199413A (en) * | 2018-10-26 | 2019-01-15 | 首都医科大学附属北京安定医院 | A kind of system using pupillometry PPI |
| CN109223006A (en) * | 2018-10-26 | 2019-01-18 | 首都医科大学附属北京安定医院 | A kind of schizophrenia diagnosis system |
| CN110151184A (en) * | 2019-04-19 | 2019-08-23 | 昆明依利科特科技有限公司 | Contactless drug addict's rapid detection system and method |
| CN110464611A (en) * | 2019-07-23 | 2019-11-19 | 苏州国科视清医疗科技有限公司 | A kind of digitlization amblyopia enhancing training device and system and its related algorithm |
| CN113405505A (en) * | 2020-03-16 | 2021-09-17 | 同方威视技术股份有限公司 | Method and device for determining distance and height based on multiple sensors |
| US12029484B2 (en) | 2020-03-16 | 2024-07-09 | Nuctech Company Limited | Method and device of determining distance and height based on a plurality of sensors |
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2006
- 2006-06-29 CN CN 200610010999 patent/CN1871994A/en not_active Withdrawn
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100534379C (en) * | 2007-08-29 | 2009-09-02 | 中国人民解放军第三军医大学第一附属医院 | Eye movement testing and analyzing equipment |
| CN102018519B (en) * | 2009-09-15 | 2012-09-05 | 由田新技股份有限公司 | Staff concentration degree monitoring system |
| CN102831417A (en) * | 2012-08-20 | 2012-12-19 | 陈剑军 | Binocular iris image acquisition device |
| CN103169485A (en) * | 2013-02-01 | 2013-06-26 | 广东平成广告有限公司 | Cognition curve generation system and cognition curve generation method based on video |
| CN103610455A (en) * | 2013-10-17 | 2014-03-05 | 中国人民解放军***总医院 | Device for detecting intracranial pressure |
| CN103610455B (en) * | 2013-10-17 | 2015-09-23 | 中国人民解放军***总医院 | A kind of device detected for intracranial pressure |
| CN104068824A (en) * | 2014-06-18 | 2014-10-01 | 荔志云 | Portable pupil response sensitivity testing device |
| CN104545787A (en) * | 2014-12-12 | 2015-04-29 | 许昌红 | Wearable pupil light reflex measurement equipment |
| CN104739367A (en) * | 2015-03-14 | 2015-07-01 | 中国科学院苏州生物医学工程技术研究所 | Binocular pupil light synthetic detection system |
| CN104905765A (en) * | 2015-06-08 | 2015-09-16 | 四川大学华西医院 | FPGA implementation method based on Camshift algorithm in eye movement tracking |
| WO2016131244A1 (en) * | 2015-07-10 | 2016-08-25 | 中兴通讯股份有限公司 | User health monitoring method, monitoring device, and monitoring terminal |
| CN105125167A (en) * | 2015-08-21 | 2015-12-09 | 陶勇 | Ocular examination method and apparatus based on intelligent video collection and analysis |
| CN105259675A (en) * | 2015-11-17 | 2016-01-20 | 来康（厦门）科技有限公司 | Intelligent glasses capable of detecting healthy state of human body |
| CN107865724A (en) * | 2017-05-26 | 2018-04-03 | 飞亚达（集团）股份有限公司 | One kind rescue glasses and its light-regulating method |
| CN107865724B (en) * | 2017-05-26 | 2020-11-06 | 飞亚达精密科技股份有限公司 | Rescue glasses and light adjusting method thereof |
| CN108968910A (en) * | 2018-08-14 | 2018-12-11 | 哈尔滨海鸿基业科技发展有限公司 | Diabetic eye diseases early screening device |
| CN109199413A (en) * | 2018-10-26 | 2019-01-15 | 首都医科大学附属北京安定医院 | A kind of system using pupillometry PPI |
| CN109223006A (en) * | 2018-10-26 | 2019-01-18 | 首都医科大学附属北京安定医院 | A kind of schizophrenia diagnosis system |
| CN110151184A (en) * | 2019-04-19 | 2019-08-23 | 昆明依利科特科技有限公司 | Contactless drug addict's rapid detection system and method |
| CN110464611A (en) * | 2019-07-23 | 2019-11-19 | 苏州国科视清医疗科技有限公司 | A kind of digitlization amblyopia enhancing training device and system and its related algorithm |
| CN113405505A (en) * | 2020-03-16 | 2021-09-17 | 同方威视技术股份有限公司 | Method and device for determining distance and height based on multiple sensors |
| US12029484B2 (en) | 2020-03-16 | 2024-07-09 | Nuctech Company Limited | Method and device of determining distance and height based on a plurality of sensors |
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Effective date of registration: 20061208 Address after: Sichuan province Yibin city Binjiang Road No. 34 building, AON Applicant after: Yang Zhouqian Address before: Wuhua District of Yunnan city of Kunming Province Feng Zhu Street No. 168 Metro Park 2 building 907 Feng Zhu future Applicant before: Chuanze Intelligence System Co., Ltd., Kunming |
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