Method and system for visual field function assessment based on adaptive steady-state visual evoked potentials

Abstract

Provided are a visual field function evaluation method and system based on adaptive steady-state visual evoked potentials. The visual field function evaluation method comprises: for a first test eye, applying a first periodic visual stimulus to a plurality of first visual field regions to obtain a plurality of first response values of the steady-state visual evoked potential of the first test eye; selecting a test region from the plurality of first visual field regions based on the plurality of first response values of the steady-state visual evoked potential of the first test eye; dividing the test region into a plurality of second visual field regions; for the first test eye, applying a second periodic visual stimulus to the plurality of second visual field regions to obtain a plurality of second response values of the steady-state visual evoked potential of the first test eye; and determining a visual field function evaluation result of the first test eye based on the plurality of second response values of the steady-state visual evoked potential of the first test eye. Thus, the visual field function evaluation method and system can take into account both efficiency and accuracy.

Description

Technical Field

[0001] This disclosure relates to the field of signal processing technology, and more specifically, to a method and system for assessing visual field function based on adaptive steady-state visual evoked potentials. Background Technology

[0002] Visual field (VGF) refers to the range of vision when an individual's eyeball is fixed. VGF impairment refers to damage to the visual field, which can be caused by various factors such as glaucoma, retinitis pigmentosa, and brain trauma, resulting in significant impairment to a patient's daily life, work, and social function. VGF assessment plays a crucial clinical role in screening for these diseases, aiding in diagnosis, grading disease severity, and monitoring treatment effectiveness.

[0003] Currently, the most widely used visual field testing methods in clinical practice mainly include subjective behavioral testing techniques such as Standard Automated Perimetry (SAP) and objective visual function assessment techniques based on visual evoked potentials (VEP). SAP methods require subjects to actively respond to visual stimuli presented randomly at different visual field locations under prolonged fixation conditions (e.g., button presses). SAP methods are highly dependent on the subject's subjective cooperation and behavioral responses, resulting in long testing times. This limits their applicability to the elderly, children, patients with cognitive impairment, or those with poor cooperation abilities, and the point-by-point stimulation method has low testing efficiency.

[0004] In VEP-based methods, multifocal visual evoked potential (mfVEP) technology uses pseudo-random stimulus sequences to stimulate multiple visual field regions in parallel, and combines this with EEG response inversion to obtain the functional state corresponding to different visual field locations, thereby achieving objective visual field assessment. Compared with traditional subjective behavioral visual field detection methods, mfVEP detection does not rely on the subject's active behavioral feedback, which can reduce the influence of attention, reaction speed, and subjective judgment factors on the detection results to a certain extent. Existing mfVEP detection usually uses fixed stimulus patterns, which easily leads to redundant stimuli and redundant data acquisition, making it difficult to perform refined assessment, thus failing to balance efficiency and accuracy. Summary of the Invention

[0005] The purpose of this disclosure is to provide a visual field function assessment method and system based on adaptive steady-state visual evoked potentials that can balance efficiency and accuracy.

[0006] According to one aspect of the embodiments of this disclosure, a visual field function assessment method based on adaptive steady-state visual evoked potentials is provided. The visual field function assessment method includes: applying a first periodic visual stimulus to a plurality of first visual field regions for a first test eye to obtain a plurality of first response values ​​of steady-state visual evoked potentials of the first test eye, wherein the first test eye corresponds to one of the left eye and the right eye, and the plurality of first response values ​​respectively correspond to the plurality of first visual field regions; selecting a test region from the plurality of first visual field regions based on the plurality of first response values ​​of steady-state visual evoked potentials of the first test eye; dividing the test region into a plurality of second visual field regions, wherein the size of each of the plurality of second visual field regions is smaller than the size of each of the plurality of first visual field regions; applying a second periodic visual stimulus to the plurality of second visual field regions for the first test eye to obtain a plurality of second response values ​​of steady-state visual evoked potentials of the first test eye, wherein the plurality of second response values ​​respectively correspond to the plurality of second visual field regions; and determining a visual field function assessment result of the first test eye based on the plurality of second response values ​​of steady-state visual evoked potentials of the first test eye.

[0007] Optionally, the test area includes a target area and a reference area, wherein the step of selecting a test area from the plurality of first visual field areas based on the plurality of first response values ​​of the steady-state visual evoked potential of the first test eye includes: selecting a specific first visual field area as a target area from the plurality of first visual field areas based on the first response value of the steady-state visual evoked potential of the first test eye; and selecting at least one first visual field area as a reference area from the plurality of first visual field areas based on the eccentricity of the specific first visual field area.

[0008] Optionally, the step of selecting a first visual field region corresponding to the first response value from the plurality of first visual field regions as a target region based on the first response value of the steady-state visual evoked potential of the first test eye includes: the first response value of the specific first visual field region selected as the target region is less than the product of the statistical value of the plurality of first response values ​​of the steady-state visual evoked potential of the first test eye and a first predetermined coefficient.

[0009] Optionally, the step of selecting the first visual field region corresponding to the first response value from the plurality of first visual field regions as the target region based on the first response value of the steady-state visual evoked potential of the first test eye includes: The first response value of a specific first visual field region selected as the target region is less than the corresponding first response value of the steady-state visual evoked potential of the second test eye, and the absolute value of the difference between it and the corresponding first response value is greater than the product of the statistical value of the absolute deviation of all first response values ​​of the first test eye and the second test eye corresponding to the plurality of first visual field regions and a second predetermined coefficient, wherein the second test eye corresponds to the other of the left and right eyes, wherein the first response value and the corresponding first response value correspond to the same first visual field region, and wherein the first response value of the steady-state visual evoked potential of the second test eye is obtained by applying a first periodic visual stimulus to the plurality of first visual field regions for the second test eye.

[0010] Optionally, the target area and the reference area have the same eccentricity.

[0011] Optionally, the test area includes a target area and a reference area. The plurality of second visual field areas include a plurality of sub-target areas corresponding to the target area and a plurality of sub-reference areas corresponding to the reference area. The step of determining the visual field function assessment result of the first test eye based on the plurality of second response values ​​of the steady-state visual evoked potential of the first test eye includes: determining the relative second response value of the sub-target area based on the ratio of the second response value of the sub-target area to the statistical value of the second response value of the first test eye and the second test eye in the corresponding sub-reference area; determining the degree of visual field function impairment of the first test eye based on the comparison of the relative second response value of each of the plurality of sub-target areas with a predetermined threshold. The second response value of the steady-state visual evoked potential of the second test eye is obtained by applying a second periodic visual stimulus to the plurality of second visual field areas for the second test eye.

[0012] Optionally, the sub-target region and the corresponding sub-reference region have the same eccentricity.

[0013] According to one aspect of the embodiments of this disclosure, a visual field function assessment system based on adaptive steady-state visual evoked potentials is provided. The visual field function assessment system includes: a visual stimulus presentation module configured to: apply a first periodic visual stimulus to a plurality of first visual field regions and apply a second periodic visual stimulus to a plurality of second visual field regions for a first test eye, wherein the first test eye corresponds to one of the left eye and the right eye; an electroencephalogram (EEG) signal processing module configured to: obtain a plurality of first response values ​​of steady-state visual evoked potentials of the first test eye and obtain a plurality of second response values ​​of steady-state visual evoked potentials of the first test eye, wherein the plurality of first response values ​​correspond to the plurality of first visual field regions and the plurality of second response values ​​correspond to the plurality of second visual field regions; an adaptive decision module configured to: select a test region from the plurality of first visual field regions based on the plurality of first response values ​​of steady-state visual evoked potentials of the first test eye, and divide the test region into the plurality of second visual field regions; and a visual field function assessment module configured to: determine a visual field function assessment result of the first test eye based on the plurality of second response values ​​of steady-state visual evoked potentials of the first test eye.

[0014] According to one aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided. When instructions stored in the computer-readable storage medium are executed by at least one processor, the at least one processor causes the at least one processor to perform the above-described visual field function evaluation method based on adaptive steady-state visual evoked potentials.

[0015] According to one aspect of the embodiments of this disclosure, a computer program product is provided. The computer program product includes computer instructions that, when executed by at least one processor, implement the above-described method for evaluating visual field function based on adaptive steady-state visual evoked potentials.

[0016] The visual field function assessment method and system based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure use an objective detection method based on steady-state visual evoked potentials, eliminating the need for subjective behavioral feedback from the subject and improving the objectivity and applicability of visual field function assessment. It employs a multi-region frequency coding parallel stimulation approach to achieve simultaneous detection of multiple visual field regions, improving detection efficiency and shortening detection time. A staged adaptive detection strategy is used to dynamically adjust subsequent detection regions and density based on initial screening results, reducing redundant detection in normal regions and improving the accuracy of local visual field damage detection. The use of binocular comparison within the same region and normalization analysis of the same eccentricity reference region helps reduce the impact of individual differences, overall EEG fluctuations, and non-specific factors on the detection results, improving detection stability and reliability. Therefore, the visual field function assessment method and system based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure achieves a balance between efficiency and accuracy. Attached Figure Description

[0017] The above and / or other aspects of this disclosure will become clearer and more readily understood from the following detailed description taken in conjunction with the accompanying drawings.

[0018] Figure 1 This is a flowchart illustrating a visual field function assessment method based on adaptive steady-state visual evoked potentials according to an embodiment of the present disclosure.

[0019] Figure 2 This is a flowchart illustrating a method for selecting a test area according to an embodiment of the present disclosure.

[0020] Figure 3 This is a flowchart illustrating a method for determining the visual field function assessment result of a first test eye according to an embodiment of the present disclosure.

[0021] Figure 4 This is a block diagram illustrating a visual field function assessment system based on adaptive steady-state visual evoked potentials according to an embodiment of the present disclosure.

[0022] Throughout the accompanying drawings and detailed embodiments, unless otherwise described or provided, the same reference numerals will be understood to denote the same elements, features, and structures. The drawings may not be to scale, and for clarity, illustration, and convenience, the relative dimensions, scale, and depiction of elements in the drawings may be exaggerated. Detailed Implementation

[0023] The following detailed embodiments are provided to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent upon understanding this disclosure. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but can be appropriately altered upon understanding this disclosure, except for operations that must occur in a specific order. Furthermore, for clarity and brevity, descriptions of features known upon understanding this disclosure may be omitted.

[0024] The features described herein may be implemented in different forms and should not be construed as being limited to the examples described herein. Rather, the examples described herein are provided merely to illustrate some of the many feasible ways of implementing the methods, apparatus, and / or systems described herein that will be clear upon understanding the disclosure of this application.

[0025] Although terms such as “first,” “second,” and “third” may be used herein to describe various components, assemblies, regions, layers, or parts, these components, assemblies, regions, layers, or parts are not limited by these terms. Rather, these terms are used only to distinguish one component, assembly, region, layer, or part from another. Therefore, without departing from the teaching of the examples described herein, the first component, first assembly, first region, first layer, or first part referred to as the first component, first assembly, first region, first layer, or first part may also be referred to as the second component, second assembly, second region, second layer, or second part.

[0026] The terminology used herein is for the purpose of describing various examples only and is not intended to limit disclosure. Unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. The terms “comprising,” “including,” and “having” indicate the presence of the features, quantities, operations, components, elements, and / or combinations thereof stated therein, but do not preclude the presence or addition of one or more other features, quantities, operations, components, elements, and / or combinations thereof.

[0027] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as understood based on the disclosure of this application and as commonly understood by one of ordinary skill in the art to which this disclosure pertains. Unless expressly defined herein, terms (such as those defined in a general dictionary) shall be interpreted as having the same meaning as they have in the context of the relevant art and in the disclosure of this application, and shall not be interpreted ideally or overly formally. The use of the term “may” herein with respect to examples or embodiments (e.g., regarding what an example or embodiment may include or implement) indicates the existence of at least one example or embodiment that includes or implements such a feature, while not all examples are limited thereto.

[0028] Unless otherwise specified, the same reference numerals generally refer to the same elements (e.g., components, steps, and methods). Reference numerals described in previous embodiments that reappear in later embodiments may be omitted. Furthermore, technical features described in different or the same embodiments can be combined in any way, as long as the combined embodiment or technical solution is complete and can solve the technical problems of this application or achieve the technical effects described or not described in this disclosure but which can be determined based on the complete technical solution described above. The terminology used in this disclosure is explained below.

[0029] It should be noted that, where there is no conflict between the various embodiments, these embodiments and their features can be combined with each other.

[0030] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the system described above can be found in the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0031] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0032] Figure 1 This is a flowchart illustrating a visual field function assessment method based on adaptive steady-state visual evoked potentials according to an embodiment of the present disclosure.

[0033] Reference Figure 1 The visual field function assessment method based on adaptive steady-state visual evoked potentials according to embodiments of the present disclosure may include steps S100 to S500.

[0034] In step S100, for the first test eye, a first periodic visual stimulus is applied to multiple first visual field regions to obtain multiple first response values ​​of the steady-state visual evoked potential of the first test eye.

[0035] According to embodiments of this disclosure, a preset visual field can be divided into multiple first visual field regions based on visual field eccentricity (hereinafter referred to as "eccentricity") and azimuth. In one example, a visual field spatial coordinate system can be established based on the preset visual field, and a polar coordinate visual field model can be established with the central fixation point as the origin, dividing the preset visual field into multiple annular regions with different eccentricities and multiple sectors with different azimuths. For example, the preset visual field can be divided into eight first visual field regions based on four quadrants and two eccentricities (<10° and >10°). In one embodiment, corresponding visual stimulus parameters can be configured for different first visual field regions. In one example, the visual stimulus may include a black and white checkerboard stimulus (a black and white checkerboard stimulus consisting of four rows and four columns of checkerboards, each checkerboard stimulus containing 16 checkerboards, including eight black checkerboards and eight white checkerboards), the checkerboard size of the first visual field regions with different eccentricities is scaled according to the cortical magnification factor, wherein the central region uses smaller checkerboards and the peripheral region uses larger checkerboards.

[0036] According to embodiments of this disclosure, the first periodic visual stimulus may include different steady-state visual evoked frequencies assigned to different first visual field regions, and the different steady-state visual evoked frequencies are encoded. In one example, the first periodic visual stimulus may be modulated using a sinusoidal contrast modulation method. In one example, the different steady-state visual evoked frequencies may be selected from 5 Hz, 7 Hz, 9 Hz, 11 Hz, 13 Hz, 16 Hz, 17 Hz, and 19 Hz. In one example, the presentation order of the different steady-state visual evoked frequencies may be configured using a Latin square approach (e.g., a presentation sequence of eight steady-state visual evoked frequencies selected from 5 Hz, 7 Hz, 9 Hz, 11 Hz, 13 Hz, 16 Hz, 17 Hz, and 19 Hz) to reduce system bias caused by the coupling of fixed frequencies with fixed spatial locations. In one example, the different steady-state visual evoked frequencies assigned to different first visual field regions may be dynamically switched according to the above presentation order. For example, when the duration of a single stimulus reaches a preset duration (e.g., 15 seconds), the presentation can be switched to the next steady-state visual evoked frequency in the order described above.

[0037] According to embodiments of this disclosure, the first test eye may correspond to either the left or right eye. That is, step S100 may employ a monocular testing approach, and the non-test eye may be covered. For example, step S100 may be performed independently for only one eye (e.g., the left or right eye) (e.g., applying the first periodic visual stimulus independently (or alternately) to the left and right eyes), rather than performing step S100 simultaneously for both eyes. In one example, step S100 may be performed alternately for both eyes, wherein the recording duration for each monocular eye may be 120 seconds, and each first visual field region of each monocular eye may traverse 8 frequencies, each frequency lasting 15 seconds.

[0038] In one embodiment, during step S100, the subject's head can be fixed using a chin rest and a forehead rest to reduce the impact of head movement on visual stimulus localization and EEG acquisition stability. In another embodiment, before performing step S100, the center position of the display device can be spatially aligned with the pupil position of the first test eye, so that the central fixation point corresponds to the visual axis center of the first test eye, thereby improving the spatial localization accuracy of retinal stimulation.

[0039] In embodiments where step S100 is executed using an eye-tracking device, the stimulus presentation position can be further dynamically corrected based on the real-time gaze position. Furthermore, a high-precision eye-tracking device can be used to collect the subject's gaze position in real time, and gaze-contingent stimuli presentation can be implemented based on the real-time eye movement information. The visual stimulus presentation position is dynamically adjusted according to the subject's instantaneous gaze position, thereby improving the spatial localization accuracy of retinal stimulation and reducing the impact of eye movement deviation on visual field function assessment results. Further, when the subject's gaze deviates from the preset fixation area by more than a threshold, the current stimulus presentation can be paused, the corresponding time period's EEG data can be removed, or the corresponding area detection can be restarted.

[0040] In embodiments where step S100 is performed without an eye-tracking device, a fixation point (e.g., a fixation point with a diameter of 0.2°) may be presented in the center of the screen, and the color, brightness, shape, or flickering state of the fixation point may be changed periodically (e.g., randomly every 20 to 30 seconds), and the subject may be asked to continuously monitor the fixation point state and respond to changes behaviorally (e.g., press a specific button) to assess fixation stability and task alertness level.

[0041] For example, the first response value and the first visual field region may have a one-to-one correspondence. In one embodiment, the EEG data (or signal) of the subject's first test eye can be recorded in real time using an EEG acquisition device. The EEG data is divided into multiple time windows (e.g., each time window may be 2 seconds long), and the data of each time window is processed by bandpass filtering (e.g., 5 Hz to 50 Hz). In one embodiment, a fast Fourier transform can be used to extract the response amplitude of the steady-state visual evoked potential corresponding to the stimulus frequency and harmonic frequency band as the first response value.

[0042] In step S200, a test region is selected from multiple first visual field regions based on multiple first response values ​​of the steady-state visual evoked potentials of the first test eye. Referring below... Figure 2 Describe in detail the method for selecting the test area.

[0043] In step S300, the test area is divided into a plurality of second visual field regions. According to embodiments of the present disclosure, the size of each of the plurality of second visual field regions is smaller than the size of each of the plurality of first visual field regions.

[0044] In one embodiment, the visual field can be further divided into multiple high spatial resolution sectors, and these sectors can be mapped to a test area to obtain multiple second visual field regions, such that each of the multiple second visual field regions corresponds to a high spatial resolution sector. In one example, the number of high spatial resolution sectors can be 60. For example, the central ring region from 0° to 2.5° can be divided into 12 equal-angle sectors; the ring region from 2.5° to 5° can be divided into 12 equal-angle sectors; the ring region from 5° to 10° can be divided into 12 equal-angle sectors; the ring region from 10° to 15° can be divided into 12 equal-angle sectors; and the peripheral ring region from 15° to 22° can be divided into 12 equal-angle sectors. Each sector can be evenly distributed along the polar angle direction, with an angular interval of 30° between adjacent sectors. Each sector has a unique number for subsequent visual stimulus presentation, EEG response decoding, and visual field functional state analysis.

[0045] In step S400, for the first test eye, a second periodic visual stimulus is applied to multiple second visual field regions to obtain multiple second response values ​​of the steady-state visual evoked potentials of the first test eye.

[0046] According to embodiments of this disclosure, step S400 may employ a monocular testing approach, and the non-test eye may be covered. For example, step S400 may be performed independently for only one eye (e.g., the left or right eye) (e.g., applying the second periodic visual stimulus independently (or alternately) to the left and right eyes), rather than performing step S400 for both eyes simultaneously. In one example, step S400 may be performed alternately for both eyes, traversing all second visual field areas.

[0047] According to embodiments of this disclosure, the second periodic visual stimulus may include different steady-state visual evoked frequencies assigned to different second visual field regions, and the different steady-state visual evoked frequencies are encoded. In one example, the second periodic visual stimulus may be modulated using a sinusoidal contrast modulation method. In one example, different steady-state visual evoked frequencies may be assigned to second visual field regions with different eccentricities. For example, a steady-state visual evoked frequency of 7 Hz may be used for a second visual field region with an eccentricity of 0° to 2.5° (central macula); a steady-state visual evoked frequency of 9 Hz may be used for a second visual field region with an eccentricity of 2.5° to 5° (central periphery); a steady-state visual evoked frequency of 11 Hz may be used for a second visual field region with an eccentricity of 5° to 10° (mid-periphery); a steady-state visual evoked frequency of 13 Hz may be used for a second visual field region with an eccentricity of 10° to 15° (mid-periphery); and a steady-state visual evoked frequency of 16 Hz may be used for a second visual field region with an eccentricity of 15° to 22° (outermost periphery). In one example, a pseudo-random approach can be used to select one secondary visual field region for stimulation presentation each time within 5 eccentricities. For example, when the duration of a single stimulus reaches a preset duration (e.g., 15 seconds), the process can switch to the next steady-state visual evoked frequency. In another example, secondary visual field regions not participating in the current test can be presented with high-frequency (e.g., 60 Hz) stimulation to reduce interference from random brain responses.

[0048] In one embodiment, during step S400, the subject's head can be fixed using a chin rest and forehead rest to reduce the impact of head movement on visual stimulus localization and EEG acquisition stability. In one embodiment, before performing step S400, the center position of the display device can be spatially aligned with the pupil position of the first test eye, so that the central fixation point corresponds to the visual axis center of the first test eye, thereby improving the spatial localization accuracy of retinal stimulation. In embodiments where step S400 is performed in conjunction with an eye-tracking device, the stimulus presentation position can be further dynamically corrected based on the real-time fixation position. In embodiments where step S400 is performed without an eye-tracking device, a fixation point (e.g., a fixation point with a diameter of 0.2°) can be presented in the center of the screen, and the color (e.g., changing to red (e.g., for 500 ms), brightness, shape, or flickering state of the fixation point can be periodically changed (e.g., randomly changed every 20 to 30 seconds), and the subject can be asked to continuously monitor the fixation point state and respond to changes behaviorally (e.g., press a specific button).

[0049] According to embodiments of this disclosure, multiple second response values ​​correspond to multiple second visual field regions. For example, the second response values ​​and second visual field regions may have a one-to-one correspondence. In one embodiment, the EEG data (or signals) of the subject's first test eye can be recorded in real time using an EEG acquisition device, the EEG data can be divided into multiple time windows (e.g., each time window can be 2 seconds long), and the data of each time window can be processed by bandpass filtering (e.g., 5 Hz to 50 Hz). In one embodiment, a fast Fourier transform can be used to extract the response amplitude of the steady-state visual evoked potential corresponding to the stimulus frequency and harmonic frequency band as the second response value.

[0050] In step S500, based on multiple second response values ​​of the steady-state visual evoked potentials of the first test eye, the visual field function assessment result of the first test eye is determined. In the following text, reference will be made to... Figure 3 Describe in detail the method used to determine the visual field function assessment results of the first test eye.

[0051] The visual field function assessment method based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure uses an objective detection method based on steady-state visual evoked potentials, eliminating the need for subjective behavioral feedback from the subject and improving the objectivity and applicability of visual field function assessment. It employs a multi-region frequency coding parallel stimulation method to achieve simultaneous detection of multiple visual field regions, improving detection efficiency and shortening detection time. A staged adaptive detection strategy is used to dynamically adjust subsequent detection regions and density based on initial screening results, reducing redundant detection in normal regions and improving the accuracy of local visual field damage detection. The use of binocular comparison within the same region and normalization analysis of the same eccentricity reference region helps reduce the impact of individual differences, overall EEG fluctuations, and non-specific factors on the detection results, improving detection stability and reliability. Therefore, the visual field function assessment method based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure achieves a balance between efficiency and accuracy.

[0052] Figure 2 This is a flowchart illustrating a method for selecting a test area according to an embodiment of the present disclosure.

[0053] Reference Figure 2 The method for selecting a test region according to embodiments of the present disclosure may include steps S210 to S220. According to embodiments of the present disclosure, the test region may include a target region and a reference region. Furthermore, according to embodiments of the present disclosure, the target region and the reference region may have the same eccentricity.

[0054] In step S210, a specific first visual field region can be selected as the target region from multiple first visual field regions based on the first response value of the steady-state visual evoked potential of the first test eye.

[0055] In one embodiment, the first response value of a specific first visual field region selected as the target region may be less than the product of a statistical value of multiple first response values ​​of steady-state visual evoked potentials of the first test eye and a first predetermined coefficient. In another embodiment, the first response value of a specific first visual field region selected as the target region may be less than the corresponding first response value of a steady-state visual evoked potential of the second test eye, and the absolute value of the difference between the first response value and the corresponding first response value may be greater than the product of a statistical value of the absolute deviations of all first response values ​​of the first and second test eyes corresponding to the multiple first visual field regions and a second predetermined coefficient. In yet another embodiment, the first response value of a specific first visual field region selected as the target region may be less than the product of a statistical value of multiple first response values ​​of steady-state visual evoked potentials of the first test eye and a first predetermined coefficient, and may be less than the corresponding first response value of a steady-state visual evoked potential of the second test eye, and the absolute value of the difference between the first response value and the corresponding first response value may be greater than the product of a statistical value of the absolute deviations of all first response values ​​of the first and second test eyes corresponding to the multiple first visual field regions and a second predetermined coefficient. In one example, the aforementioned statistical value can be one of the median, mean, and weighted average; the first predetermined coefficient can be 0.6; and the second predetermined coefficient can be 1.5. In one example, the aforementioned target area can also be referred to as an outlier area.

[0056] According to embodiments of this disclosure, the second test eye may correspond to the other eye in the left and right eyes. According to embodiments of this disclosure, the first response value and the corresponding first response value may correspond to the same first visual field region. According to embodiments of this disclosure, the first response value of the steady-state visual evoked potential of the second test eye can be obtained by applying a first periodic visual stimulus to multiple first visual field regions for the second test eye.

[0057] In step S220, at least one first field of view region can be selected as a reference region from multiple first field of view regions based on the eccentricity of a specific first field of view region.

[0058] In one example, the reference region may be a first visual field region that was not selected as the target region (or abnormal region) in step S210. For example, the reference region may include a reference region for the same eye (e.g., the first test eye), a corresponding region for the contralateral eye (e.g., the second test eye), or a combination of both. In one embodiment, the same stimulation frequency and the same eccentricity conditions may be applied to each of the target region and the reference region to reduce the impact of eccentricity differences on the second response value.

[0059] Figure 3 This is a flowchart illustrating a method for determining the visual field function assessment result of a first test eye according to an embodiment of the present disclosure.

[0060] Reference Figure 3The method for determining the visual field function assessment result of the first test eye according to embodiments of the present disclosure may include steps S510 to S520. According to embodiments of the present disclosure, the test area may include a target area and a reference area, and the plurality of second visual field areas may include a plurality of sub-target areas corresponding to the target area and a plurality of sub-reference areas corresponding to the reference area. Furthermore, according to embodiments of the present disclosure, the sub-target areas and the corresponding sub-reference areas may have the same eccentricity.

[0061] In step S510, the relative second response value of the sub-target region can be determined based on the ratio of the second response value of the sub-target region to the statistical values ​​of the second response values ​​of the first and second test eyes of the corresponding sub-reference region. In one example, the statistical values ​​of the second response values ​​of the first and second test eyes of the corresponding sub-reference region may include one of the following: median, mean, and weighted average.

[0062] In step S520, the degree of visual field impairment of the first test eye can be determined based on a comparison of the relative second response value of each of the plurality of sub-target regions with a predetermined threshold. According to embodiments of the present disclosure, the second response value of the steady-state visual evoked potential of the second test eye is obtained by applying a second periodic visual stimulus to a plurality of second visual field regions for the second test eye.

[0063] In one embodiment, the predetermined threshold may be 0.6. In this case, when the relative second response value in the sub-target region is less than 0.6, visual field dysfunction in the sub-target region of the first test eye can be determined. In another embodiment, the predetermined threshold may be 0.6, 0.4, and 0.25. In this case, when the relative second response value in the sub-target region is between 0.4 and 0.6, mild visual field dysfunction in the sub-target region of the first test eye can be determined; when the relative second response value in the sub-target region is between 0.25 and 0.4, moderate visual field dysfunction in the sub-target region of the first test eye can be determined; and when the relative second response value in the sub-target region is less than 0.25, severe visual field dysfunction in the sub-target region of the first test eye can be determined.

[0064] In one embodiment, a spatial distribution result of visual field function (or a visual field function assessment map) for the first test eye can be generated based on the degree of visual field function impairment of the first test eye. In one example, the functional state, response intensity, or degree of impairment of different sub-target regions can be mapped to corresponding spatial locations to form a two-dimensional or polar coordinate visual field function distribution result. In one example, corresponding spatial distribution results of visual field function can be generated for the first and second test eyes respectively. In one embodiment, the output content may include at least one of the following: location of visual field function abnormality region, degree of abnormality, region response value, relative response value, and visual field function distribution result.

[0065] Figure 4 This is a block diagram illustrating a visual field function assessment system based on adaptive steady-state visual evoked potentials according to an embodiment of the present disclosure.

[0066] Reference Figure 4 The visual field function assessment system based on adaptive steady-state visual evoked potentials according to embodiments of the present disclosure may include a visual stimulus presentation module 100, an electroencephalogram signal processing module 200, an adaptive decision-making module 300, and a visual field function assessment module 400.

[0067] The visual stimulus presentation module 100 can be configured to: apply a first periodic visual stimulus to a plurality of first visual field regions for a first test eye, and apply a second periodic visual stimulus to a plurality of second visual field regions, wherein the first test eye corresponds to one of the left and right eyes. The visual stimulus presentation module 100 can perform the corresponding operations in steps S100 and S400.

[0068] The EEG signal processing module 200 can be configured to: obtain multiple first response values ​​of steady-state visual evoked potentials of a first test eye, and obtain multiple second response values ​​of steady-state visual evoked potentials of the first test eye, wherein the multiple first response values ​​correspond to multiple first visual field regions, and the multiple second response values ​​correspond to multiple second visual field regions. The EEG signal processing module 200 can perform the corresponding operations in steps S100 and S400.

[0069] The adaptive decision module 300 can be configured to: select a test region from multiple first visual field regions based on multiple first response values ​​of steady-state visual evoked potentials of the first test eye, and divide the test region into multiple second visual field regions. The adaptive decision module 300 can perform the operations of steps S200 and S300.

[0070] The visual field function assessment module 400 can be configured to determine the visual field function assessment result of the first test eye based on multiple second response values ​​of the steady-state visual evoked potentials of the first test eye. The visual field function assessment module 400 can perform the operation of step S500.

[0071] The visual field function assessment system based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure uses an objective detection method based on steady-state visual evoked potentials, eliminating the need for subjective behavioral feedback from the subject and improving the objectivity and applicability of visual field function assessment. It employs a multi-region frequency coding parallel stimulation method to achieve simultaneous detection of multiple visual field regions, improving detection efficiency and shortening detection time. A staged adaptive detection strategy is used to dynamically adjust subsequent detection regions and density based on initial screening results, reducing redundant detection in normal regions and improving the accuracy of local visual field damage detection. The use of binocular comparison within the same region and normalization analysis of the same eccentricity reference region helps reduce the impact of individual differences, overall EEG fluctuations, and non-specific factors on the detection results, improving detection stability and reliability. Therefore, the visual field function assessment system based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure achieves a balance between efficiency and accuracy.

[0072] According to embodiments of this disclosure, a computer-readable storage medium may also be provided, wherein when instructions stored in the computer-readable storage medium are executed by at least one processor, the at least one processor is caused to perform the cooperative control method for wargaming according to embodiments of this disclosure described above. Examples of computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store a computer program and any associated data, data files, and data structures in a non-transitory manner and to provide the computer program and any associated data, data files, and data structures to a processor or computer so that the processor or computer can execute the computer program. The computer program in the aforementioned computer-readable storage medium can run in an environment deployed in computer devices such as clients, hosts, agent devices, servers, etc. Furthermore, in one example, the computer program and any associated data, data files, and data structures are distributed across a networked computer system, such that the computer program and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.

[0073] According to embodiments of the present disclosure, a computer program product may also be provided, including computer instructions that, when executed by at least one processor, implement the above-described cooperative control method for wargaming according to embodiments of the present disclosure.

[0074] The visual field function assessment method and system based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure use an objective detection method based on steady-state visual evoked potentials, eliminating the need for subjective behavioral feedback from the subject and improving the objectivity and applicability of visual field function assessment. It employs a multi-region frequency coding parallel stimulation approach to achieve simultaneous detection of multiple visual field regions, improving detection efficiency and shortening detection time. A staged adaptive detection strategy is used to dynamically adjust subsequent detection regions and density based on initial screening results, reducing redundant detection in normal regions and improving the accuracy of local visual field damage detection. The use of binocular comparison within the same region and normalization analysis of the same eccentricity reference region helps reduce the impact of individual differences, overall EEG fluctuations, and non-specific factors on the detection results, improving detection stability and reliability. Therefore, the visual field function assessment method and system based on adaptive steady-state visual evoked potentials according to embodiments of this disclosure achieves a balance between efficiency and accuracy.

[0075] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0076] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A visual field function assessment method based on adaptive steady-state visual evoked potentials, characterized in that, The visual field function assessment method includes: For the first test eye, a first periodic visual stimulus is applied to multiple first visual field regions to obtain multiple first response values ​​of the steady-state visual evoked potential of the first test eye, wherein the first test eye corresponds to one of the left eye and the right eye, and the multiple first response values ​​correspond to the multiple first visual field regions respectively; Based on the plurality of first response values ​​of the steady-state visual evoked potential of the first test eye, a test region is selected from the plurality of first visual field regions; The test area is divided into multiple second field-of-view regions, wherein the size of each of the multiple second field-of-view regions is smaller than the size of each of the multiple first field-of-view regions; For the first test eye, a second periodic visual stimulus is applied to the plurality of second visual field regions to obtain a plurality of second response values ​​of the steady-state visual evoked potentials of the first test eye, wherein the plurality of second response values ​​correspond to the plurality of second visual field regions respectively; Based on the multiple second response values ​​of the steady-state visual evoked potentials of the first test eye, the visual field function assessment result of the first test eye is determined. The test area includes a target area and a reference area. The plurality of second field-of-view areas include a plurality of sub-target areas corresponding to the target area and a plurality of sub-reference areas corresponding to the reference area. The step of determining the visual field function assessment result of the first test eye based on the plurality of second response values ​​of the steady-state visual evoked potential of the first test eye includes: The relative second response value of the sub-target region is determined by the ratio of the second response value of the sub-target region to the statistical value of the second response value of the first test eye and the second test eye of the corresponding sub-reference region. The degree of visual field impairment in the first test eye is determined by comparing the relative second response value of each of the plurality of sub-target regions with a predetermined threshold. The second response value of the steady-state visual evoked potential of the second test eye is obtained by applying a second periodic visual stimulus to the plurality of second visual field regions for the second test eye.

2. The visual field function assessment method according to claim 1, characterized in that, The test area includes the target area and the reference area. The step of selecting a test region from the plurality of first visual field regions based on the plurality of first response values ​​of the steady-state visual evoked potential of the first test eye includes: Based on the first response value of the steady-state visual evoked potential of the first test eye, a specific first visual field region is selected as the target region from the plurality of first visual field regions; and Based on the eccentricity of a specific first field of view region, at least one first field of view region is selected as a reference region from the plurality of first field of view regions.

3. The visual field function assessment method according to claim 2, characterized in that, The step of selecting the first visual field region corresponding to the first response value from the plurality of first visual field regions as the target region based on the first response value of the steady-state visual evoked potential of the first test eye includes: The first response value of a specific first visual field region selected as the target region is less than the product of the statistical value of the plurality of first response values ​​of the steady-state visual evoked potential of the first test eye and a first predetermined coefficient.

4. The visual field function assessment method according to claim 2, characterized in that, The step of selecting the first visual field region corresponding to the first response value from the plurality of first visual field regions as the target region based on the first response value of the steady-state visual evoked potential of the first test eye includes: The first response value of a specific first visual field region selected as the target region is less than the corresponding first response value of the steady-state visual evoked potential of the second test eye, and the absolute value of the difference between the first response value and the corresponding first response value is greater than the product of the statistical value of the absolute deviation of all first response values ​​of the first and second test eyes corresponding to the plurality of first visual field regions and a second predetermined coefficient. The second test eye corresponds to the other eye in both the left and right eyes. Wherein, the first response value and the corresponding first response value correspond to the same first visual field region, and The first response value of the steady-state visual evoked potential of the second test eye is obtained by applying a first periodic visual stimulus to the plurality of first visual field regions for the second test eye.

5. The visual field function assessment method according to claim 2, characterized in that, The target region and the reference region have the same eccentricity.

6. The visual field function assessment method according to claim 1, characterized in that, The sub-target region and the corresponding sub-reference region have the same eccentricity.

7. A visual field function assessment system based on adaptive steady-state visual evoked potentials, characterized in that, The visual function assessment system includes: The visual stimulus presentation module is configured to: apply a first periodic visual stimulus to multiple first visual field regions for a first test eye, and apply a second periodic visual stimulus to multiple second visual field regions, wherein the first test eye corresponds to one of the left and right eyes; The EEG signal processing module is configured to: obtain multiple first response values ​​of steady-state visual evoked potentials of a first test eye, and obtain multiple second response values ​​of steady-state visual evoked potentials of the first test eye, wherein the multiple first response values ​​correspond to the multiple first visual field regions, and the multiple second response values ​​correspond to the multiple second visual field regions. An adaptive decision-making module is configured to: select a test region from a plurality of first visual field regions based on the plurality of first response values ​​of the steady-state visual evoked potential of the first test eye, and divide the test region into a plurality of second visual field regions; and The visual field function assessment module is configured to: determine the visual field function assessment result of the first test eye based on the plurality of second response values ​​of the steady-state visual evoked potentials of the first test eye. The test area includes a target area and a reference area. The plurality of second field-of-view areas include a plurality of sub-target areas corresponding to the target area and a plurality of sub-reference areas corresponding to the reference area. The visual field function assessment module is configured as follows: The relative second response value of the sub-target region is determined by the ratio of the second response value of the sub-target region to the statistical value of the second response value of the first test eye and the second test eye of the corresponding sub-reference region. The degree of visual field impairment in the first test eye is determined by comparing the relative second response value of each of the plurality of sub-target regions with a predetermined threshold. The second response value of the steady-state visual evoked potential of the second test eye is obtained by applying a second periodic visual stimulus to the plurality of second visual field regions for the second test eye.

8. A computer-readable storage medium, characterized in that, When the instructions stored in the computer-readable storage medium are executed by at least one processor, the at least one processor is prompted to perform the visual field function assessment method based on adaptive steady-state visual evoked potentials according to any one of claims 1 to 6.

9. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by at least one processor, the visual field function assessment method based on adaptive steady-state visual evoked potentials according to any one of claims 1 to 6 is implemented.

Images