Color vision objective detection method and system based on dynamic change
Through the use of dynamic changes in visual stimulation and brain electrical signal analysis methods in color detection, the problem of long detection time and low results in existing technologies is solved, and efficient and accurate color detection is achieved.
Patent Information
- Application Number
- CN202411800487.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-01-28
AI Technical Summary
The existing color vision detection methods have problems such as long detection time, complex results interpretation, inability to evaluate visual attention status and single quantitative diagnostic indicators, resulting in low detection efficiency and insufficient credibility of results.
Adopt the objective detection methods and systems based on dynamic changes, and by presenting the visual stimulus flow and central cross icon, collecting the brain electrical signals generated during the observation of the subject, and using multiple encephaloelectric characteristic parameters to comprehensively judge and quantify it. Evaluate color recognition ability.
Effectively shorten the detection duration, improve the detection efficiency, ensure the credibility of the quantitative detection results, can accurately identify common red, green blindness and full -color blindness to avoid the emergence of false positive results.
Smart Images

Figure CN119366852A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of color vision detection, and in particular to an objective color vision detection method and system based on dynamic changes. Background Art
[0002] Color vision is an important part of visual function. It is a subjective feeling formed by visible light molecules of various colors passing through the eye's refractive medium, acting on the three wavelength cone receptors of the retina, and then going through multiple conversions, layer-by-layer projection, encoding and processing in the visual system network, and finally in the visual center of the brain. If there are congenital or acquired lesions or damages in the visual conduction pathway, and there is a problem with certain color perception, it is called color weakness or color blindness.
[0003] At present, the detection methods related to color vision deficiency can be roughly divided into three approaches: psychophysical approach, molecular biological approach and electroocular physiological approach, among which physiological physics is the most widely used. In routine physical examinations, the subjects distinguish the patterns or numbers in the color vision test picture, but its accuracy is affected by cognitive habits and other factors, which is not suitable for qualitative diagnosis; among the commonly used color vision diagnosis methods, the color vision mirror detection method is more accurate. Its principle is to judge the color vision status of the subject through the quantitative optical principle of the subject's ability to perceive specific colors. For example, the Nagel color vision mirror method can distinguish types of color vision abnormalities including green weakness (blindness), red weakness (blindness), red-green weakness (blindness), and total color weakness (blindness). However, the color vision mirror examination is highly professional, with problems such as long detection time and complex result interpretation, and the test process requires subjective cooperation and autonomous adjustment of the subject. Although cVEP has been recognized as a method for quantitative detection of color vision dysfunction caused by retinal lesions, it cannot detect color vision abnormalities caused by damage to the high visual pathway (behind the optic chiasm) or central pathways.
[0004] In 2016, Soochow University developed a non-attentional event-related potential brain-computer interface method for automatic color vision recognition and obtained a national invention patent (publication number: CN106502386B), which can detect color vision dysfunction caused by etiology at all stages of the whole visual pathway using electroencephalographic technology. However, the detection process is a single-color point-shaped visual stimulus presentation, and requires the subject to pay attention to the auditory channel and not pay subjective attention to the visual channel. It is impossible to evaluate the subject's visual attention state, and there is a possibility of result deviation due to differences in personal attention and passive cooperation, and its quantitative diagnostic indicators are only single-type parameter results.
[0005] In order to overcome the above-mentioned defects of the prior art, further shorten the detection time, ensure the credibility of the quantitative detection results, and apply them to quick quantitative detection and early screening, the present invention proposes an EEG method and system that can take into account multiple color combinations and comprehensively evaluate color vision ability with multiple indicators. The operation is simple and fast, the applicability is strong, and the combined indicators are objective and quantitative. Summary of the invention
[0006] 1. Technical issues to be resolved
[0007] In view of the deficiencies in the prior art, the present invention provides an objective color vision detection method and system based on dynamic changes, which improves detection efficiency, effectively judges the subjective cooperation of the subject during the test process, thereby inferring the authenticity of the test results and avoiding the occurrence of false positive results. It uses multiple characteristic EEG parameters to comprehensively judge and quantify the subject's color vision recognition ability, effectively improves the credibility of the results, and can effectively solve the problems in the background technology.
[0008] (II) Technical solution
[0009] To achieve the above object, the technical solution adopted by the present invention is: an objective color vision detection method based on dynamic changes, comprising the following steps:
[0010] Step 1: presenting a visual stimulus stream to the subject, the visual stimulus including color stimulation information composed of colors and a central cross icon to attract the subject's attention;
[0011] Step 2: Guide the subjects to respond when the cross icon appears, collect the EEG signals generated by the subjects in the process of observing the visual stimulation, analyze and process the EEG signals and feed back the EEG information graph;
[0012] Step 3: Use the EEG information graph library data obtained from tests on people with normal color vision as the normal control group, compare the EEG information graph results obtained from the test of the subject, and determine whether the first condition, the second condition, and the third condition are met, so as to evaluate the subject's color perception level.
[0013] Preferably, in step one, the color stimulation information includes a first sight mark with color matching, and a second sight mark with the same size, contrast and average brightness as the first sight mark and with a periodic contraction motion light and dark brightness effect.
[0014] Preferably, in step 2, the EEG information results generated by the visual mark stimulation include EEG waveform diagrams of early, middle and late components and a brain area distribution map of the late component, as well as a functional connection analysis map between brain areas. The feedback results judge the color vision ability based on the degree of brain area activation and the strength of functional connection, supplemented by computer waveform diagrams as objective evidence.
[0015] Preferably, in step three, the first condition is: the difference in the EEG traceability map obtained by the test subject's first sight mark and second sight mark test is compared with the EEG traceability map result of a normal population, indicating that the subject's color perception ability is reduced or severely impaired;
[0016] The second condition is that the EEG functional connection map obtained by the test of the first sight mark and the second sight mark of the subject is compared with the EEG functional connection map results of the normal population, indicating that the subject's color perception ability is reduced or severely impaired;
[0017] The third condition is: the EEG waveform obtained by the test subject is compared with the EEG waveform results of normal people to evaluate the degree of color perception disorder of the test subject;
[0018] If the color vision perception ability is judged to be severely impaired and the first and second conditions are met at the same time, the comprehensive assessment is color blindness; if the color vision perception ability is judged to be reduced and the first, second and third conditions are met at the same time, the comprehensive assessment is color weakness.
[0019] The present invention also includes a system used in the objective color vision detection method based on dynamic changes, which includes a stimulation display module, an electroencephalogram signal acquisition module and an electroencephalogram signal analysis processing and result feedback module which are connected in sequence.
[0020] The stimulus display module includes the selection of visual stimuli and the presentation of visual stimulus paradigms; the checkerboard stimulus with appropriate resolution is selected according to the visual acuity level of the subject; the presented visual stimulus paradigm includes the stimulus picture style, presentation time, number of times, and probability;
[0021] The EEG signal acquisition module includes a whole-brain lead electrode cap and a matching EEG signal conversion amplifier. The acquisition module and the stimulation display module synchronously acquire the EEG information of the whole brain area corresponding to the user's vision, and send the EEG signal to the EEG signal analysis and processing and result feedback module;
[0022] The EEG signal analysis and processing and result feedback module processes and presents EEG waveforms, source tracing, and functional connections in different time periods according to the user's EEG signal characteristics. The presented results include brain area source tracing current density maps, EEG functional connection hub maps, and EEG waveform maps, and ultimately determines whether the first, second, and third conditions are met.
[0023] The first condition is: the comparison result of the brain region traceable current density map obtained by the test subject and the current density map of normal people shows that the color perception ability of the test subject is seriously impaired or reduced;
[0024] The second condition is: the comparison results of the EEG functional connection hubs obtained by the test subject and those of normal people indicate that the color perception ability of the test subject is severely impaired or reduced;
[0025] The third condition is: the comparison result of the EEG waveform obtained by the test subject and the EEG waveform of a normal person shows that the color perception ability of the test subject is reduced or the coordination degree is poor;
[0026] If the result feedback module determines that the subject has a serious disorder that satisfies both the first and second conditions, the subject is comprehensively determined to be color blind. If the first, second and third conditions are reduced, the subject is comprehensively determined to be color weak.
[0027] (III) Beneficial effects
[0028] Compared with the prior art, the present invention provides a method and system for objective color vision detection based on dynamic changes, which has the following beneficial effects:
[0029] 1. The color stimulation information designed by the present invention is presented in a way that the first visual mark of red, green and blue is presented simultaneously and the second visual mark with a changed contrast is presented in a contrasting manner, which greatly reduces the detection time, effectively identifies common red and green color blindness (weak) and total color blindness (weak), and improves the detection efficiency;
[0030] 2. The result of the second sight mark can be used to judge the subjective cooperation of the subject during the test, thereby inferring the authenticity of the test result and avoiding the occurrence of "false positive" results;
[0031] 3. The established EEG analysis and result feedback method can reflect the subject's color vision information processing process from multiple dimensions. By tracing multiple EEG characteristic parameters such as current density values, functional connection hubs, and computer waveform diagrams, it can comprehensively judge and quantify the subject's color vision recognition ability, effectively improving the credibility of the results. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 It is a flow chart of the objective detection method of color vision based on dynamic changes of the present invention;
[0033] Figure 2 A schematic diagram of the visual stimulus presentation of the present invention (with text labels replacing colors);
[0034] Figure 3 This is a comparison diagram of brain area activation results of EEG tracing of the present invention;
[0035] Figure 4 It is a comparison diagram of the brain function connection hub results of the present invention. DETAILED DESCRIPTION
[0036] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.
[0037] like Figure 1-4As shown, the present invention provides an objective color vision detection method based on dynamic changes, comprising the following steps:
[0038] Step 1: Select and present visual stimuli suitable for the subjects. The visual stimuli include color stimulation information consisting of a color combination (red, green, blue, yellow, black, and white), as well as a central cross icon to attract the subjects' attention.
[0039] Furthermore, the color stimulation information includes a first sight mark with color matching (red, blue, green, green, blue, yellow, black, white), and a second sight mark with the same size, contrast and average brightness as the first sight mark and with periodic contraction movement light and dark brightness effect.
[0040] Step 2: Guide the subjects to respond when the cross icon appears, and simultaneously collect the EEG signals generated by the subjects due to visual stimulation, and require the subjects to pay attention to the cross icon throughout the process to count, analyze and process the EEG signals and feedback the EEG information map (brain area tracing current density map, EEG function connection hub map, EEG waveform map).
[0041] The EEG information generated by visual target stimulation includes EEG waveforms of early, middle and late components, distribution maps of late components in the brain regions, and functional connection analysis maps between brain regions. The feedback results judge the color vision ability based on the degree of brain region activation and functional connection strength (value), supplemented by computer waveforms as objective evidence.
[0042] Step 3: Use the EEG information image library data obtained from the test of people with normal color vision as the normal control group, compare the EEG information image results obtained from the test of the subject, and determine whether the first condition, the second condition, and the third condition are met:
[0043] The first condition is that the difference in the EEG tracing map obtained by the subject's first sight mark test and the second sight mark test is compared with the EEG tracing map results of the normal population, indicating that the subject's color perception ability is reduced or severely impaired.
[0044] The second condition is that the EEG functional connection map obtained by the test of the first sight mark and the second sight mark of the subject is compared with the EEG functional connection map results of the normal population, indicating that the subject's color perception ability is reduced or severely impaired;
[0045] The third condition is: comparing the EEG waveform obtained from the test subject with the EEG waveform results of a normal population to evaluate the degree of color vision impairment of the test subject.
[0046] If the color vision perception ability is judged to be severely impaired and the first and second conditions are met at the same time, the comprehensive assessment is color blindness; if the color vision perception ability is judged to be reduced and the first, second and third conditions are met at the same time, the comprehensive assessment is color weakness.
[0047] The brain regions with differences (specifically, differences exceeding 20%) in the EEG traceability diagrams obtained from the test of normal color vision subjects include the dorsal frontal region, left temporal region, and left ventral frontal region at 300-450ms and the frontal region, bilateral temporal region, and central region at 400-500ms;
[0048] The comparison results of the EEG traceability map obtained by the test subject and the EEG traceability map in the normal control group database are obtained by the following method:
[0049] If the EEG traceability map obtained by the test subject only includes the brain area activation difference of 300-450ms and 400-500ms, and the activation degree is within the range of normal people's activation degree, it indicates that the subject's ability to perceive color vision is normal; if there is an abnormality in the area of brain area activation difference of 300-450ms, such as the difference in activation of the right brain area (right temporal area and right ventral area of the forehead) or the difference in activation of the parietal area and the central brain area, it indicates that the subject's ability to perceive color vision is seriously impaired; if there is only the above-mentioned brain area activation difference, but the activation degree is reduced by more than 30% compared with normal people, it indicates that the subject's ability to perceive color vision is low;
[0050] The 400-500ms EEG functional connection hub obtained by the test of normal color vision people is the parietal area, and there are 4 effective connections (parietal area-left temporal area, parietal area-right temporal area, parietal area-left ventral area of the forehead, parietal area-right ventral area of the forehead);
[0051] The comparison results of the EEG functional connection map obtained by the test subject and the EEG functional connection map in the normal control group database are obtained by the following method:
[0052] If the 400-500ms EEG functional connection hub obtained by the subject is the top area, and the effective connection reaches 4 groups, it indicates that the subject's color perception ability is normal; if the 400-500ms EEG functional connection hub obtained by the subject is the top area, and the effective connection does not reach 4 groups, it indicates that the subject's color perception ability is low; if the EEG functional connection hub changes to the central area or there is no connection hub, it indicates that the subject's color perception ability is seriously impaired;
[0053] The 300-500ms electroencephalogram component obtained by the test of the normal color vision person includes a mid-late negative wave of 300-450ms and a late positive wave of 400-500ms.
[0054] The comparison results of the EEG waveform obtained by the test subject and the EEG waveform in the normal control group database are obtained by the following method:
[0055] If the late and late amplitudes of the subject's second visual target EEG waveform graph decrease and the latency is prolonged by more than 30% compared with normal people, it indicates that the subject has low color perception ability; if the late and late amplitudes of the subject's second visual target EEG waveform graph decrease and the latency is prolonged by more than 60% compared with normal people, it indicates that the subject's cooperation is poor and the result is unreliable.
[0056] The present invention also includes a color vision objective detection system based on dynamic changes, including the following modules:
[0057] 1. Stimulus display module: including the selection of visual stimuli and the presentation of visual stimulation paradigm. According to the visual acuity level of the subjects, the checkerboard stimulus with appropriate resolution is selected; the presented visual stimulation paradigm includes the stimulus picture style, presentation time, number of times, probability, etc.
[0058] 2. EEG signal acquisition module: including the whole-brain lead electrode cap and the matching EEG signal conversion amplifier. The acquisition module and the stimulation display module synchronously collect the EEG information of the whole brain area corresponding to the user's vision, and send the EEG signal to the analysis and processing module.
[0059] 3. EEG signal analysis and processing and result feedback module: According to the characteristics of the user's EEG signal, the EEG waveform diagram and source tracing and functional connection processing and presentation are carried out in different time periods. The presentation results include brain area source tracing current density map, EEG functional connection hub map, EEG waveform diagram, etc., and finally determine whether the first condition, the second condition and the third condition are met.
[0060] The first condition is: the comparison result of the brain region traceable current density map obtained by the test subject and the current density map of normal people shows that the color perception ability of the test subject is seriously impaired or reduced;
[0061] The second condition is: the comparison results of the EEG functional connection hubs obtained by the test subject and those of normal people indicate that the color perception ability of the test subject is severely impaired or reduced;
[0062] The third condition is: the comparison result of the EEG waveform obtained by the test subject and the EEG waveform of a normal person shows that the color perception ability of the test subject is reduced or the coordination degree is poor;
[0063] If the result feedback module determines that the subject has a serious disorder that satisfies both the first and second conditions, the subject is comprehensively determined to be color blind. If the first, second and third conditions are reduced, the subject is comprehensively determined to be color weak.
[0064] The present invention can accurately judge color vision ability through EEG, greatly reducing the detection time and improving detection efficiency;
[0065] The present invention effectively determines the subjective cooperation degree of the test subject during the test process, thereby inferring the authenticity of the test result and avoiding the occurrence of "false positive" results;
[0066] The present invention utilizes multiple EEG characteristic parameters to comprehensively judge and quantify the subject's color vision recognition ability, effectively improving the credibility of the results.
[0067] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.
Claims
1. A method for objective detection of color vision based on dynamic changes, characterized in that: The following steps are involved: Step 1: presenting a visual stimulus stream to the subject, the visual stimulus including color stimulation information composed of colors and a central cross icon to attract the subject's attention; Step 2: Guide the subjects to respond when the cross icon appears, collect the EEG signals generated by the subjects in the process of observing the visual stimulation, analyze and process the EEG signals and feed back the EEG information graph; Step 3: Use the EEG information graph library data obtained from tests on people with normal color vision as the normal control group, compare the EEG information graph results obtained from the test of the subject, and determine whether the first condition, the second condition, and the third condition are met, so as to evaluate the subject's color perception level.
2. The method for objectively detecting color vision based on dynamic changes according to claim 1, characterized in that: In step one, the color stimulation information includes a first sight mark with color matching, and a second sight mark with the same size, contrast and average brightness as the first sight mark and with periodic contraction motion light and dark brightness effect.
3. The method for objectively detecting color vision based on dynamic changes according to claim 1, characterized in that: In step 2, the EEG information results generated by the visual mark stimulation include EEG waveforms of the early, middle and late components, the distribution map of the brain regions where the late components are traced, and the functional connection analysis map between brain regions. The feedback results judge the color vision ability based on the degree of brain region activation and the strength of functional connection, supplemented by computer waveforms as objective evidence.
4. The method for objectively detecting color vision based on dynamic changes according to claim 1, characterized in that: In step 3, the first condition is: the difference in the EEG traceability map obtained by the test subject's first sight mark and second sight mark test is compared with the EEG traceability map result of normal people, indicating that the subject's color perception ability is reduced or severely impaired; The second condition is that the EEG functional connection map obtained by the test of the first sight mark and the second sight mark of the subject is compared with the EEG functional connection map results of the normal population, indicating that the subject's color perception ability is reduced or severely impaired; The third condition is: the EEG waveform obtained by the test subject is compared with the EEG waveform results of normal people to evaluate the degree of color perception disorder of the test subject; If the color vision perception ability is judged to be severely impaired and the first and second conditions are met at the same time, the comprehensive assessment is color blindness; if the color vision perception ability is judged to be reduced and the first, second and third conditions are met at the same time, the comprehensive assessment is color weakness.
5. A system for the objective color vision detection method based on dynamic changes according to any one of claims 1 to 4, characterized in that: It includes a stimulation display module, an EEG signal acquisition module and an EEG signal analysis processing and result feedback module which are connected in sequence.
6. A system for an objective color vision detection method based on dynamic changes according to claim 5, characterized in that: The stimulus display module includes the selection of visual stimuli and the presentation of visual stimulus paradigms; the checkerboard stimulus with appropriate resolution is selected according to the visual acuity level of the subject; the presented visual stimulus paradigm includes the stimulus picture style, presentation time, number of times, and probability; The EEG signal acquisition module includes a whole-brain lead electrode cap and a matching EEG signal conversion amplifier. The acquisition module and the stimulation display module synchronously acquire the EEG information of the whole brain area corresponding to the user's vision, and send the EEG signal to the EEG signal analysis and processing and result feedback module; The EEG signal analysis and processing and result feedback module processes and presents EEG waveforms, source tracing, and functional connections in different time periods according to the user's EEG signal characteristics. The presented results include brain area source tracing current density maps, EEG functional connection hub maps, and EEG waveform maps, and ultimately determines whether the first, second, and third conditions are met.
Citation Information
Patent Citations
A method for establishing a non-attentive event-related potential brain-computer interface for automatic color vision recognition
CN106502386B