CN201308487Y - Amblyopia detecting system based on P-VEP - Google Patents
Amblyopia detecting system based on P-VEP Download PDFInfo
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- CN201308487Y CN201308487Y CNU2008201631453U CN200820163145U CN201308487Y CN 201308487 Y CN201308487 Y CN 201308487Y CN U2008201631453 U CNU2008201631453 U CN U2008201631453U CN 200820163145 U CN200820163145 U CN 200820163145U CN 201308487 Y CN201308487 Y CN 201308487Y
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- amblyopia
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Abstract
The utility model relates to an amblyopia detecting system based on P-VEP, wherein a main display and an A/D conversion card are arranged on a host machine; the main display displays system interface to be operated by doctors; the host machine is connected with an auxiliary display screen displaying stimulation picture; one end of an electrode is connected with a detected person and the other end is connected with a fully-isolated bioelectrical amplifier; the full-isolated bioelectrical amplifier is connected with the host machine via the A/D conversion card; the host machine is provided with an amblyopic detection module based on P-VEP; the amblyopic detection module comprises a data management module and a detection module; the data management module is composed of a user management module and a data management sub module; the detection module is composed of a threshold valve search module, a signal processing module, a superposed average module, a signal collection module, a stimulation picture module and a real-time display sub module. The amblyopic detection system can accurately detect induction potential signals, and can realize different brain-machine interface visual stimulation modes according to demands. Users can utilize the system without training or with little training. The system is easy to accept.
Description
Technical field
This utility model belongs to medical electronics product manufacturing technology field, is specifically related to a kind of amblyopia check system based on image inverted pattern visual evoked potential (P-VEP).
Background technology
Amblyopia is meant that eye does not have the significant organic pathological changes, serves as main caused distant vision≤0.8 and can not the rectifier with functional factor, and amblyopia is an oculopathy comparatively common among the child, and sickness rate is about 2%-3%.China has 300,000,000 whatever amount the child has 1,000 ten thousand amblyopia infants approximately.Therefore, the research of amblyopia and control are considerable problems, are related to follow-on growing up healthy and sound.
It is the key of preventing and treating amblyopia that amblyopia is carried out early diagnosis and therapy.As the inspection method of objective evaluation visual function, visual electrophysiology is widely used in the auxiliary diagnosis of amblyopia.VEP (Visual EvokedPotential, VEP) belong to and bring out current potential (Evoked Potential, EP) category, be cerebral cortex to visual stimulus react the cluster signal of telecommunication, be called visual-evoked cortical potential (Visual EvokedCortical Potential again, VECP) or VER (Visual Evoked Response, VER).VEP can go on record by the surface electrode that is placed on the head relevant position.
According to the difference of stimulus frequency, visual evoked potential can be divided into transient visual induced potential and stable state vision inducting current potential.Patent Office of the People's Republic of China has announced " based on the control device of brain electricity steady-state induced response " (application number: 99122161.3), it adopts the stable state stimulation to bring out visual evoked potential and realizes brain-computer interface, with fast fourier transform EEG signals is carried out frequency analysis, obtain the correspondent frequency composition, and then realize judging and control.The advantage of this technology is that method for extracting signal is simple, easily realizes.But also there is certain limitation in this technology.(1) the stable state vision inducting current potential is very strict to the frequency stability requirement of visual stimulator, and different targets need adopt different stimulus frequency, and each frequency must be highly stable.If the stimulus frequency instability, the spectrum peak that brings out current potential can change, and will directly influence the accuracy that the brain-computer interface control signal is extracted.(2) stable state stimulus frequency scope is generally 6-14Hz, and people's spontaneous brain electricity α wave frequency is 8-13Hz, and its signal amplitude is better than brings out current potential, selects stimulus frequency also need avoid α ripple place frequency band, and the selection of visual stimulus frequency is subjected to certain restriction.(3) when the visual stimulus frequency is higher, part subject perception eyes discomfort, number of winks increases, and is difficult to continue to watch attentively stimulation target.(4) also have minority experimenter's transient evoked potential bigger, but when stimulus frequency is higher, may has groups of people and can not utilize the stable state vision inducting current potential to realize brain-computer interface, then can attempt adopting transient visual induced potential to realize brain-computer interface.
According to the stimulation mode difference, VEP mainly is divided into flash visual evoked potential (F-VEP) and pattern reversal visual evoked potentioals (P-VEP), after utilizing graphics mode (generally adopting the black and white gridiron pattern of different space frequency and temporal frequency) to stimulate retina, the VEP signal of generation is referred to as P-VEP.In the amblyopia diagnosis, F-VEP does not have Special Significance.Patient's P-VEP signal has the change of feature, and this has 2 significances in the clinical and research work of amblyopia, and the one, the method for early discovery children's myopia using is provided for the clinicist; The 2nd, provide objective research means to the amblyopia mechanism.
Yet the extraction of P-VEP is difficulty very, because the P-VEP signal is very faint, is submerged in usually in wave amplitude bigger the background brain electricity and other noise, must take some particular processing technology to reach the purpose of detection.And noise-eliminating method commonly used is when eliminating noise, and data message also can produce distortion and lose real information.Denoising Method based on wavelet transformation can satisfy various de-noising requirements, and compares with traditional noise-eliminating method, and wavelet noise has many good qualities.
Summary of the invention
The purpose of this utility model provides a kind of image model upset visual evoked potential (P-VEP) technology based on transient state and extracts the brain-computer interface control signal and realized an amblyopia check system based on P-VEP.
Technical solution adopted in the utility model: the amblyopia check system based on P-VEP comprises main frame, auxilliary display, electrode, isolates bioelectric amplifier entirely, establishes basic display unit and A/D transition card on the main frame, and basic display unit display system interface is for doctor's operation; Main frame connects assists display, and auxilliary display adopts image upset mode, produces the stimulation figure of energy evoked visual potential signal; The scalp of electrode one termination those who are investigated brain occipitalia, another termination is isolated bioelectric amplifier entirely, and electrode is gathered the visual evoked potential signal, and (position of active electrode normally is placed on O
ZThe position, O
ZThe position is that the center line external occipital protuberance makes progress 10% before and after being positioned at; Reference electrode normally is placed on 5 ~ 8cm place, nasion top; Ground electrode is placed on ear-lobe or mastoid process place usually), and this signal is reached full isolation bioelectric amplifier carry out processing and amplifying; The full bioelectric amplifier of isolating links to each other with main frame by the A/D transition card, carries out the A/D conversion through full signal of isolating bioelectric amplifier output; Establish an amblyopia inspection module based on P-VEP on the main frame, this module comprises data management module and checks module that data management module is made of user management, data management submodule; Check that module is made of threshold values search, signal processing, superposed average, signals collecting, stimulation figure and real-time display sub-module; Main frame carries out a series of processing to the data of A/D transition card output, comprise that the misphase stimulation strategy is used to bring out the stack of current potential, extract characteristic vector at wavelet transformed domain, proper phasor input perceptron neural network, perceptron neural network is exported the degree of membership that signal to be identified is under the jurisdiction of visual evoked potential signal ambiguity collection, by the simple Fuzzy Pattern Recognition of row, obtain the brain-computer interface control signal, and show then at basic display unit; The doctor marks the signal curve critical eigenvalue that extracts, and generates and print audit report.
Described amblyopia check system based on P-VEP, amblyopia check that module also comprises various pattern reversal pattern stimuli source generation modules and data analysis module, and data analysis module is made of waveform analysis, threshold values analysis and relative analysis submodule.
Described amblyopia check system, the electrode silver plate electrode of adopting international standards based on P-VEP.
The utlity model has following advantage:
(1) since transient visual induced potential with stimulate between have strict relation when trivial (visual evoked potential appear at stimulate relatively-stationary time period of back interior), can detect more exactly and bring out electric potential signal, help improving the accuracy rate of brain-computer interface.
(2) extracting method of control signal is not strict with the stability of stimulus frequency, adopts the software programming mode can produce the visual stimulus pattern on computer screen, and can realize multiple brain-computer interface visual stimulus pattern as required neatly.
(3) adopt scalp electrode to write down the cortex visual evoked potential of occipitalia, this recording mode noinvasive, user need not training or only need seldom training, are accepted by the people easily.
Description of drawings
Fig. 1 is system hardware structure figure of the present utility model.
Fig. 2 is system function module figure of the present utility model.
Fig. 3 is a system handles flow chart of the present utility model.
The specific embodiment
Below in conjunction with accompanying drawing this utility model is elaborated.
As shown in Figure 1, the native system hardware components mainly is made up of industrial control host, auxilliary display, the full isolation of full isolation bioelectric amplifier, A/D transition card, international standard silver plate electrode.Establish basic display unit and A/D transition card on the main frame, basic display unit display system interface is by doctor's operation and main control system; Main frame links to each other with auxilliary display, and auxilliary display shows the tessellated stimulation figure of black and white; The silver plate electrode is connected on those who are investigated's head relevant position according to international EEG standard, electrode one termination those who are investigated, and another termination is isolated bioelectric amplifier entirely, and electrode is gathered the EEG signal and is delivered to full isolation bioelectric amplifier; The full bioelectric amplifier of isolating is amplified to several volts and basic filtering to signal, isolates bioelectric amplifier entirely and links to each other with A/D transition card on the main frame by circuit; The A/D transition card carries out the A/D conversion to the signal of full isolation bioelectric amplifier output; Main frame carries out a series of processing to the data of A/D transition card output, finally the result of display process in basic display unit.
Main components and parts are selected as follows: the full bioelectric amplifier ISO VEP50 μ V that isolates of amplifier choosing.The main performance index of amplifier is as follows: nominal voltage is
Gain (doubly) 20000, trueness error
Polarization potential＞
Time constant 0.22S detects amplitude
CMRR120db, frequency band: 1Hz-300Hz (50Hz power frequency trap is arranged), resolution
Input impedance
(interior biasing)/
(outer biasing), running voltage+15V/15mA, bias current
Isolation voltage 1500Vrms (
).The A/D transition card is selected USB2000A type AD card for use.A/D transition card main performance index is as follows: 12 single-ended 32 passages/both-end 16 path 10 0K A/D cards, hardware gain 1～1000 optional (INA128), 8K word FIFO memorizer, 0～10V, ± 5V, ± the 10V input is optional, switching value input, each 16 tunnel, 1 tunnel 16 bit timings/enumerator of output.
As shown in Figure 2, check that based on the amblyopia of P-VEP module comprises data management module, checks module, analysis module, data management module is made of user management, data management submodule; Check that module is made of threshold values search, signal processing, superposed average, signals collecting, stimulation figure and real-time display sub-module; Analysis module is made of waveform analysis, threshold values analysis and relative analysis.
Check that module has realized under a kind of spatial frequency stimulus parameter that the spatial frequency threshold value is searched for automatically under the P-VEP waveform extracting and multiple spatial frequency stimulus parameter.
Data management module has realized that user basic information management, the management of user's diagnostic message, P-VEP Wave data are managed, the spatial frequency threshold value is searched for the curve data management automatically, manually spatial frequency threshold value and spatial frequency threshold information management automatically.
Waveform and analysis of threshold submodule: P-VEP waveform under those who are investigated's different stimulated parameter is compared, be convenient to doctor's analytical judgment and draw manual spatial frequency threshold value, in conjunction with the automatic down spatial frequency threshold value of searching for of aforementioned multiple spatial frequency stimulus parameter, determine final optimal threshold, the optimal threshold of will being correlated with is saved in the data base.
Fig. 3 is a process chart of the present utility model.Click begins to enter into the amblyopia check system based on P-VEP, is at first finished the relative parameters setting of stimulus on the master control machine by the doctor; Then under doctor's monitor state, finish the relative parameters setting in those who are investigated's stimulating course by the doctor, when providing those who are investigated's stimulus, the doctor gathers the signal data that stimulates the back to produce in real time, and provides the doctor to cancel the stimulus stimulation as required in to those who are investigated's stimulating course; After stimulation applications is finished, check result is preserved, and the result is carried out data analysis, print analysis result, EO.
Claims (2)
1, based on the amblyopia check system of P-VEP, it is characterized in that: comprise main frame, auxilliary display, electrode, isolate bioelectric amplifier entirely, establish basic display unit and A/D transition card on the main frame, basic display unit display system interface is for doctor's operation; Main frame connects auxilliary display, and auxilliary display shows stimulates figure; Electrode one termination those who are investigated, another termination is isolated bioelectric amplifier entirely, isolates bioelectric amplifier entirely and links to each other with main frame by the A/D transition card.
2, the amblyopia check system based on P-VEP as claimed in claim 1 is characterized in that: the described electrode silver plate electrode of adopting international standards.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2008201631453U CN201308487Y (en) | 2008-08-25 | 2008-08-25 | Amblyopia detecting system based on P-VEP |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2008201631453U CN201308487Y (en) | 2008-08-25 | 2008-08-25 | Amblyopia detecting system based on P-VEP |
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| Publication Number | Publication Date |
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| CN201308487Y true CN201308487Y (en) | 2009-09-16 |
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| CNU2008201631453U Expired - Fee Related CN201308487Y (en) | 2008-08-25 | 2008-08-25 | Amblyopia detecting system based on P-VEP |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8516568B2 (en) | 2011-06-17 | 2013-08-20 | Elliot D. Cohen | Neural network data filtering and monitoring systems and methods |
| CN105138818A (en) * | 2015-07-23 | 2015-12-09 | 西安交通大学 | Amblyopia aided diagnosis and treatment system in combination with pattern visual evoked potential |
| CN109124560A (en) * | 2018-06-27 | 2019-01-04 | 林子申 | A kind of visual performance assessment method and its system |
| CN110251065A (en) * | 2019-07-17 | 2019-09-20 | 西安交通大学 | Contrast sensitivity detection method based on movement vision Evoked ptential |
-
2008
- 2008-08-25 CN CNU2008201631453U patent/CN201308487Y/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8516568B2 (en) | 2011-06-17 | 2013-08-20 | Elliot D. Cohen | Neural network data filtering and monitoring systems and methods |
| CN105138818A (en) * | 2015-07-23 | 2015-12-09 | 西安交通大学 | Amblyopia aided diagnosis and treatment system in combination with pattern visual evoked potential |
| CN105138818B (en) * | 2015-07-23 | 2019-02-05 | 西安交通大学 | In conjunction with the amblyopia assisting in diagnosis and treatment system of pattern reversal visual evoked potentioals |
| CN109124560A (en) * | 2018-06-27 | 2019-01-04 | 林子申 | A kind of visual performance assessment method and its system |
| CN110251065A (en) * | 2019-07-17 | 2019-09-20 | 西安交通大学 | Contrast sensitivity detection method based on movement vision Evoked ptential |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090916 Termination date: 20110825 |