CN110251065A - Contrast sensitivity detection method based on movement vision Evoked ptential - Google Patents
Contrast sensitivity detection method based on movement vision Evoked ptential Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/022—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing contrast sensitivity
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/377—Electroencephalography [EEG] using evoked responses
- A61B5/378—Visual stimuli
Abstract
Contrast sensitivity detection method based on movement vision Evoked ptential, first designing concentric loop stimulation normal form stimulates normal form contrast scan gradient, carries out brain-computer interface platform building, then carries out stimulation normal form and present；Feature extraction is carried out to eeg data, and the signal-to-noise ratio (SNR) by calculating canonical correlation analysis frequency spectrum carries out the judgement of normal form response, improves the accuracy of SSMVEP contrast sensitivity detection；Finally the objective testing result of contrast sensitivity brain electricity is come out by screen feedback；The present invention scans stable state of motion visual evoked potential (SSMVEP) normal form by one group of the design concentric loop for contrast sensitivity test, and propose corresponding thresholding criteria, it obtains the objective contrast sensitivity function value of brain electricity, provides a kind of objective and quantitative measurement method for the detection of contrast sensitivity in eye examination.
Description
Technical field
The present invention relates to brain-computer interfaces and eye optometry Examined effect field, and in particular to induces electricity based on movement vision
The contrast sensitivity detection method of position.
Background technique
When contrast sensitivity is measurement vision system identification different size object spatial frequencies (cycles/degree), required object
The black and white contrast (contrast) on surface, to evaluate vision system to the resolution capability of different size object, therefore it is a kind of
New visual performance quantitative check method.Subjective feeling and cooperation dependent on subject are compared in common optometry inspection, such as right
It needs than sensitive inspection with the methods of contrast sensitivity difference visual chart, CSV-1000 lamp box.These methods are required with quilt
The subjective judgement of examination is as the terminal checked, for there is the people of communication problem, such as children or child before language, is not suitable for using this kind of
The assessment of method progress visual function；Adult may also be effected by environmental factors generation erroneous judgement；In medicolegal examination not
It can exclude lying about and cheating for identified person.
Brain-computer interface (BCI) and electroencephalogram (EEG), especially scalp EEG, be it is a kind of it is more objective, more directly comment
Estimate the new method of visual performance.In recent years, many scholars utilize scanning visual evoked potential (sVEP), Steady State Visual Evoked Potential
(SSVEP), the methods of mode visual Evoked ptential (PVEP) completes the detection to eyesight and contrast sensitivity.But current
Research is mainly focused on by changing some related stimulus parameters to determine visual performance threshold value and observation electroencephalogram reaction.This
Outside, SSVEP the or PVEP normal form of traditional gridiron pattern and grating, is more likely to lead to visual fatigue, so as to cause under signal quality
Drop.
Summary of the invention
In order to overcome the disadvantages of the above prior art, the purpose of the present invention is to provide based on movement vision Evoked ptential
Contrast sensitivity detection method, it is vision induced by designing a series of concentric loop stable states of motion for contrast sensitivity test
Current potential (SSMVEP) normal form, and propose corresponding thresholding criteria, it obtains the objective contrast sensitivity function value of brain electricity, is eye examination
The detection of middle contrast sensitivity provides a kind of objective and quantitative measurement method.
In order to achieve the above object, the technical scheme adopted by the invention is as follows:
Contrast sensitivity detection method based on movement vision Evoked ptential, comprising the following steps:
1) concentric loop stimulates normal form: using the SSMVEP method in brain-computer interface, being used by MATLAB
The periodic contractile extensional motion of normal form pattern texture is drawn in Psychophysics Toolbox programming, can be stablized stimulation and be lured
Send out SSMVEP；Motor stimulation target shows as light and dark concentric loop, and bright areas and dark areas spacing are equal；It is in stimulation
During now, normal form overall brightness is remained unchanged with overall dimensions；Annulus phase is modulated by sinusoidal manner, is being shunk and is being expanded
It opens and forms the movement of period reciprocating vibration in both direction, shrink and the toggle frequency of extensional motion is defined as frequency of stimulation, movement
Direction changes twice in one cycle；
2) it stimulates normal form contrast scan gradient: corresponding to CSV-1000 lamp box, design a series of concentric loop normal forms, make
For the sighting target of SSMVEP contrast sensitivity detection；By adjusting screen distance and normal form overall dimensions, make normal form to human eye visual angle
It is 2 °；Corresponding CSV-1000 lamp box, normal form design include 4 kinds of spatial frequencys 3cpd, 6cpd, 12cpd, 18cpd, and spatial frequency is logical
Adjustment black and white angular interval is crossed to determine；Corresponding to CSV-1000 lamp box contrast 0.85log and 2.20log, by adjusting black
The gray value of annulus, so that contrast is same；In the case where space remains unchanged, contrast is from 0.85log with per second
For 0.15log to 2.20log linear increment, when scanning, is 9 seconds a length of；Successively carry out the normal form scanning of 4 kinds of spatial frequencys；
3) brain-computer interface platform building: being placed in the left ear-lobe of subject for reference electrode before experiment, ground electrode be placed in by
Examination person's forehead, measuring electrode are arranged in head occipital region；Electrode is connect with brain wave acquisition module, after amplification, filtering, digital-to-analogue conversion
EEG signals are exported to computer, further data processing；
4) stimulation normal form is presented: computer makes that stimulation normal form is presented on high refresh rate display by display extension；?
In experimentation, user needs to watch stimulation normal form attentively according to screen prompt；In experimentation, subject needs to be sitting in laboratory
In, simple eye test is carried out every time；The EEG signals generated when user watches normal form attentively are acquired by brain wave acquisition equipment, through putting
Greatly, it filters with after A/D conversion, by treated, EEG signals input computer utilizes canonical correlation analysis (CCA) progress feature
It extracts；
5) contrast sensitivity threshold determination:, sliding duration 1 second rectangular window 2 seconds long by window is under each spatial frequency 9
Second SSMVEP signal is analyzed, and show that canonical correlation coefficient changes over time curve and corresponding Signal to Noise Ratio (SNR), to carry out
The judgement of normal form response；CCA is composed using SNR value and carries out response judgement, when SNR is greater than 1.5, illustrates vision induced electricity
Position is significant, response 1；When signal-to-noise ratio is not higher than 1.5, visual evoked potential is not significant, response 0；SSMVEP comparison is quick
Sensitivity value is defined as the contrast of corresponding stimulation normal form when most hindbrain electroresponse value is 1；
6) contrast sensitivity testing result is fed back: after completing the irritating normal form stimulation of institute, the objective brain electricity of user is compared
Susceptibility is exported by screen.
Step 5) the contrast sensitivity threshold determination, specifically: experiment obtains CCA value and Signal to Noise Ratio (SNR) value with model
The variation tendency that formula contrast is lower, wherein CCA value and SNR value all become larger with normal form contrast log value and are become smaller；Using SNR
Value carries out response judgement to CCA frequency spectrum, and signal-to-noise ratio is defined as the square value and CCA frequency of goal stimulus frequency 8Hz related coefficient
Compose the ratio between the average value of 10 adjacent Point correlation coefficients square；When SNR is greater than 1.5, illustrate that visual evoked potential is significant, rings
Should be worth is 1；When signal-to-noise ratio is not higher than 1.5, visual evoked potential is not significant, response 0；It is right for 1 to choose last response
The contrast value answered is the contrast under the spatial frequency.
The invention has the benefit that
It is simple and quick the invention proposes the contrast sensitivity detection method based on movement vision Evoked ptential, solution
Traditional subjective comparative's susceptibility test of having determined is not objective enough, is not suitable for children, communication Patients with Difficult and legal medical expert before child, language
The problem of identification, it is shown that following superiority:
(1) present invention design is based on concentric loop SSMVEP normal form, keeps brightness constancy in the entire motion process of pattern, drops
The low visual fatigue of user, improves the interactive performance of brain-computer interface.
(2) present invention proposes contrast sensitivity threshold determination method, analysis method accuracy rate height, favorable repeatability.
Detailed description of the invention
Fig. 1 is certain contrast lower 4 kinds of spatial frequencys 3cpd, 6cpd, 12cpd, 18cpd.
Contrast gradient scans schematic diagram when Fig. 2 is stimulation normal form spatial frequency 3cpd.
Fig. 3 is brain-computer interface platform.
Fig. 4 is canonical correlation coefficient value and snr value with normal form contrast gradient (3cpd) variation schematic diagram.
Fig. 5 is the CCA spectrogram of certain subject (subjective comparative susceptibility 1.75log/3cpd).
Fig. 6 is objective brain electricity contrast sensitivity detected value scatter plot compared with subjective comparative's sensitivity value (3cpd).
Specific embodiment
It elaborates with reference to the accompanying drawings and examples to the present invention.
Contrast sensitivity detection method based on movement vision Evoked ptential, comprising the following steps:
1) concentric loop stimulates normal form: using SSMVEP method most of practical meaning in brain-computer interface, passing through MATLAB
The periodic contractile extensional motion for drawing normal form pattern texture is programmed using Psychophysics Toolbox, can stablize thorn
Swash and induces SSMVEP；Referring to Fig.1, Motor stimulation target shows as light and dark concentric loop, bright areas and dark areas spacing
It is equal；During stimulating presentation, normal form overall brightness is remained unchanged with overall dimensions；Annulus phase is received by sinusoidal manner
Converging/diverging Zhang Yundong, in which:
In formula:
fc--- the inverse the time required to motion frequency, i.e. concentric loop converging diverging are primary；
φ (t) is the phase value function of gridiron pattern converging diverging；
When by changing phase function φ (t) by 0 to π, concentric loop is shunk, when phase function φ (t) is by π to 0, with one heart
In one cycle the change of the direction of motion twice occurs for annulus expansion, and the frequency that the direction of motion changes is movement toggle frequency
F is 2 times of motion frequency fc；Since SSMVEP is mainly derived from the brain activity that direction changes excitation, energy is concentrated mainly on
In movement reversal frequency, therefore, the fundamental frequency using movement reversal frequency as visual stimulus；
2) it stimulates normal form contrast scan gradient: corresponding to CSV-1000 lamp box, design a series of concentric loop normal forms, make
For the sighting target of SSMVEP contrast sensitivity detection；By adjusting screen distance and normal form overall dimensions, make normal form to human eye visual angle
It is 2 °；Referring to Fig.1, corresponding CSV-1000 lamp box, normal form design include 4 kinds of spatial frequencys 3cpd, 6cpd, 12cpd, 18cpd, sky
Between frequency by adjusting black and white angular interval determine；Corresponding to CSV-1000 lamp box contrast 0.85log and 2.20log, pass through
The gray value for adjusting black annulus, so that contrast is same；Referring to Fig. 2, in the case where space remains unchanged, contrast
From 0.85log with 0.15log per second to 2.20log linear increment, when scanning, is 9 seconds a length of；Successively carry out the model of 4 kinds of spatial frequencys
Formula scanning；
3) brain-computer interface platform building: referring to Fig. 3, electrode is arranged according to 10/20 systems approach before experiment, by reference electrode
It is placed in the left ear-lobe A1 of subject, ground electrode is placed in subject's forehead Fpz, and six pieces of measuring electrodes are arranged in head occipital region
(PO3, PO4, POz, O1, O2, Oz) injects conductive paste to each measuring electrode, guarantees that electrode is contacted with the good of scalp；Electrode
It is connect with brain wave acquisition module, EEG signals is exported after amplification, filtering, digital-to-analogue conversion to computer, further data processing；
4) stimulation normal form is presented: computer makes that stimulation normal form is presented on high refresh rate display by display extension；?
In experimentation, user needs to watch stimulation normal form attentively according to screen prompt；In experimentation, subject needs to be sitting in quietly
Not in disturbed laboratory, simple eye test is carried out every time；Generation when user watches normal form attentively is acquired by brain wave acquisition equipment
EEG signals, amplified, filter and A/D conversion after, treated EEG signals input computer is utilized into canonical correlation point
It analyses (CCA) and carries out feature extraction；
5) contrast sensitivity threshold determination: by rectangular window (window is 2 seconds long, sliding duration 1 second) under each spatial frequency 9
Second SSMVEP signal is analyzed, and referring to Fig. 4, show that canonical correlation coefficient changes over time curve and corresponding signal-to-noise ratio
(SNR), to carry out the judgement of normal form response；CCA is composed using SNR value and carries out response judgement, when SNR is greater than 1.5,
Illustrate that visual evoked potential is significant, response 1；When signal-to-noise ratio is not higher than 1.5, visual evoked potential is not significant, and response is
0；SSMVEP contrast sensitivity function value is defined as the contrast of corresponding stimulation normal form when most hindbrain electroresponse value is 1；
6) contrast sensitivity testing result is fed back: after completing the irritating normal form stimulation of institute, the objective brain electricity of user is compared
Sensitivity value is exported by screen.
Below with reference to examples illustrate the present invention.
Above-mentioned experiment is carried out to a subject (its subjective comparative's susceptibility is 1.75log/3cpd), according to above-mentioned step
Rapid 3) place to subject and builds brain-computer interface platform at electrode, according to above-mentioned steps 4) it carries out normal form presentation and is adopted with EEG signals
Collection.According to above-mentioned steps 5) electroencephalogramsignal signal analyzing and objective brain electricity contrast sensitivity threshold determination are carried out, referring to Fig. 5, obtain model
Formula response: 1,1,1,1,1,1,1,0,0, obtain SSMVEP contrast sensitivity testing result: 1.75log/3cpd.
The eeg data of 10 users in sample is analyzed and determined, and by its objective testing result and subjective testing
As a result compare, referring to Fig. 6, draw scatter plot and simultaneously calculate linear dependence, can prove objective contrast sensitivity testing result with
Subjective test results are significant related (P < 0.001).
Present invention application brain-computer interface method, without being tested subjective discrimination and expressing, can it is objective, quantitatively detect
Good correlativity is established between the contrast sensitivity of user, with subjective psychophysical inspection, is realized to child, language
Preceding children, legal medical expert are accredited the objective detection means of Special uses person's contrast sensitivity such as people.
Claims (2)
1. the contrast sensitivity detection method based on movement vision Evoked ptential, which comprises the following steps:
1) concentric loop stimulates normal form: using the SSMVEP method in brain-computer interface, being used by MATLAB
The periodic contractile extensional motion of normal form pattern texture is drawn in Psychophysics Toolbox programming, can be stablized stimulation and be lured
Send out SSMVEP；Motor stimulation target shows as light and dark concentric loop, and bright areas and dark areas spacing are equal；It is in stimulation
During now, normal form overall brightness is remained unchanged with overall dimensions；Annulus phase is modulated by sinusoidal manner, is being shunk and is being expanded
It opens and forms the movement of period reciprocating vibration in both direction, shrink and the toggle frequency of extensional motion is defined as frequency of stimulation, movement
Direction changes twice in one cycle；
2) it stimulates normal form contrast scan gradient: corresponding to CSV-1000 lamp box, design a series of concentric loop normal forms, as
The sighting target of SSMVEP contrast sensitivity detection；By adjusting screen distance and normal form overall dimensions, make normal form to human eye visual angle
2°；Corresponding CSV-1000 lamp box, normal form design includes 4 kinds of spatial frequencys 3cpd, 6cpd, 12cpd, 18cpd, and spatial frequency passes through
Black and white angular interval is adjusted to determine；Corresponding to CSV-1000 lamp box contrast 0.85log and 2.20log, by adjusting dark circles
The gray value of ring, so that contrast is same；In the case where space remains unchanged, contrast is from 0.85log with per second
For 0.15log to 2.20log linear increment, when scanning, is 9 seconds a length of；Successively carry out the normal form scanning of 4 kinds of spatial frequencys；
3) brain-computer interface platform building: reference electrode is placed in the left ear-lobe of subject before experiment, ground electrode is placed in subject
Forehead, measuring electrode are arranged in head occipital region；Electrode is connect with brain wave acquisition module, is exported after amplification, filtering, digital-to-analogue conversion
EEG signals are to computer, further data processing；
4) stimulation normal form is presented: computer makes that stimulation normal form is presented on high refresh rate display by display extension；It is testing
In the process, user needs to watch stimulation normal form attentively according to screen prompt；In experimentation, subject needs to sit in the lab,
Simple eye test is carried out every time；The EEG signals generated when user watches normal form attentively are acquired by brain wave acquisition equipment, amplified, filtered
After wave and A/D conversion, by treated, EEG signals input computer utilizes canonical correlation analysis (CCA) to carry out feature extraction；
5) contrast sensitivity threshold determination: it is 2 seconds long by window, it slides 1 second rectangular window of duration 9 seconds lower to each spatial frequency
SSMVEP signal is analyzed, and show that canonical correlation coefficient changes over time curve and corresponding Signal to Noise Ratio (SNR), to carry out model
The judgement of formula response；CCA is composed using SNR value and carries out response judgement, when SNR is greater than 1.5, illustrates visual evoked potential
Significantly, response 1；When signal-to-noise ratio is not higher than 1.5, visual evoked potential is not significant, response 0；SSMVEP comparison is sensitive
Angle value is defined as the contrast of corresponding stimulation normal form when most hindbrain electroresponse value is 1；
6) contrast sensitivity testing result is fed back: after completing the irritating normal form stimulation of institute, the objective brain electricity of user compares sensitive
Degree is exported by screen.
2. the contrast sensitivity detection method according to claim 1 based on movement vision Evoked ptential, it is characterised in that:
Step 5) the contrast sensitivity threshold determination, specifically: experiment obtains CCA value and Signal to Noise Ratio (SNR) value with normal form contrast
The variation tendency being lower, wherein CCA value and SNR value all become larger with normal form contrast log value and are become smaller；Using SNR value to CCA frequency
Spectrum carries out response judgement, and signal-to-noise ratio is defined as on the square value and CCA frequency spectrum of 8 Hz related coefficient of goal stimulus frequency 10
The ratio between the average value of adjacent Point correlation coefficient square；When SNR is greater than 1.5, illustrate that visual evoked potential is significant, response 1；
When signal-to-noise ratio is not higher than 1.5, visual evoked potential is not significant, response 0；Choosing last response is comparison corresponding to 1
Angle value is the contrast sensitivity under the spatial frequency.
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| CN112842248A (en) * | 2020-12-31 | 2021-05-28 | 北京大学第三医院（北京大学第三临床医学院） | Dynamic contrast sensitivity test system and test method thereof |
| CN113349803A (en) * | 2021-06-30 | 2021-09-07 | 杭州回车电子科技有限公司 | Steady-state visual evoked potential inducing method, device, electronic device, and storage medium |
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| CN114931353B (en) * | 2022-04-18 | 2023-04-14 | 中山大学中山眼科中心 | Convenient and fast contrast sensitivity detection system |
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Application publication date: 20190920 |