A method and system for regulating a visual brain-computer interface based on optical illusion driving

Abstract

The application provides a kind of regulation and control method and system of visual brain-computer interface based on optical illusion driving, it is related to brain-computer interface technical field.The method comprises: obtaining the first attribute information corresponding to the target optical illusion information expected to be induced and the individual information of the subject;According to the first attribute information and individual information, generate the first electric stimulation signal corresponding to the subject;Release the first electric stimulation signal to the subject, and collect the feedback information fed back by the subject;According to the feedback information, determine the second attribute information actually induced;According to the deviation result between the first attribute information and the second attribute information, adjust the first electric stimulation signal.This embodiment takes the target optical illusion information expected to be induced as the starting point of closed-loop regulation, can take the deviation result between the first attribute information corresponding to the target optical illusion information and the second attribute information obtained by the subject feedback as the evaluation standard for quantitative evaluation, effectively improves the efficiency and accuracy of regulation.

Description

Technical Field

[0001] This invention relates to the field of brain-computer interface technology, and in particular to a control method and system for a visual brain-computer interface based on photo-phasing. Background Technology

[0002] Invasive visual brain-computer interfaces involve implanting electrodes in relevant areas of the visual cortex of subjects, and inducing visual perceptions such as photopsia under the action of electrical stimulation signals. Currently, they have provided a technological foundation for visual function replacement, visual rehabilitation and neuroscience research.

[0003] In existing modulation methods, it is usually necessary to modulate each electrical stimulation signal individually and judge the effectiveness of the modulation based on subjective clinical experience and feedback information. Due to the complexity of the functional areas of the visual cortex, the differences in electrode implantation positions, the differences in individual perceptual characteristics of subjects, and the fact that the electrical stimulation parameters and induced luminous hallucinations are usually not a simple linear correspondence, the existing modulation methods not only lack scientific and quantifiable evaluation of feedback information, but also have low efficiency and accuracy. Summary of the Invention

[0004] This invention provides a method and system for regulating a visual brain-computer interface based on photophany, which can solve the problem of low accuracy and efficiency in the prior art. By using the expected target photophany information as the starting point of closed-loop regulation, the deviation between the first attribute information corresponding to the target photophany information and the second attribute information fed back by the subject can be used as the evaluation standard for quantitative evaluation, which effectively improves the efficiency and accuracy of regulation.

[0005] This invention provides a method for regulating a visual brain-computer interface based on photopsychoscopic vision, comprising the following steps: acquiring first attribute information corresponding to the target photopsychoscopic information to be induced and individual information of the subject; generating a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; releasing the first electrical stimulation signal to the subject and collecting feedback information from the subject; determining the actually induced second attribute information based on the feedback information; adjusting the first electrical stimulation signal based on the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

[0006] Optionally, adjusting the first electrical stimulation signal based on the deviation between the first attribute information and the second attribute information includes: updating the first electrical stimulation signal based on the deviation when the deviation between the first attribute information and the second attribute information does not meet a preset convergence condition; determining the actually induced new second attribute information based on the new first electrical stimulation signal until the deviation between the first attribute information and the new second attribute information meets the preset convergence condition.

[0007] Optionally, the preset convergence condition includes at least one of the following: the overall deviation score is less than a preset score threshold, the deviation value corresponding to the deviation attribute is less than a preset deviation threshold, and the number of deviation attributes is less than a preset number.

[0008] Optionally, when the deviation result includes at least one deviation attribute and a deviation value corresponding to each deviation attribute; updating the first electrical stimulation signal according to the deviation result includes: determining a target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal according to the deviation attribute; determining a first adjustment strategy for the target first electrical stimulation parameter according to the deviation attribute and the deviation value; and updating the target first electrical stimulation parameter according to the first adjustment strategy.

[0009] Optionally, determining the target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal based on the deviation attribute includes at least one of the following: When the deviation attribute is at least one of position attribute, shape attribute and color attribute, the stimulation channel position and / or stimulation channel combination in the first electrical stimulation signal is used as the target first electrical stimulation parameter. When the deviation attribute is a brightness attribute, the stimulation intensity parameter in the first electrical stimulation signal is used as the target first electrical stimulation parameter. When the deviation attribute is a flicker attribute, the stimulation intensity parameter and / or stimulation frequency parameter in the first electrical stimulation signal are used as the target first electrical stimulation parameter. When the deviation attribute is a duration attribute, the stimulation duration parameter and / or stimulation pulse sequence length in the first electrical stimulation signal are used as the target first electrical stimulation parameter. When the deviation attribute is a motion attribute, the combination of stimulation channels and / or the activation order of stimulation channels in the first electrical stimulation signal are used as the target first electrical stimulation parameter.

[0010] Optionally, when there are multiple deviation attributes, determining the first adjustment strategy for the target first electrical stimulation parameter based on the deviation attributes and the deviation values ​​includes: determining the adjustment order of the target first electrical stimulation parameters corresponding to each deviation attribute according to the priority order among the deviation attributes; determining the second adjustment strategy corresponding to each target first electrical stimulation parameter according to the deviation values ​​corresponding to each deviation attribute; and generating the first adjustment strategy according to the adjustment order and the second adjustment strategies corresponding to each target first electrical stimulation parameter.

[0011] Optionally, determining the second adjustment strategy corresponding to each of the target first electrical stimulation parameters based on the deviation values ​​corresponding to each of the deviation attributes includes: determining the initial update direction and initial update step size of each of the target first electrical stimulation parameters based on the sign and magnitude of each deviation value; determining the individualized constraints of the subject based on the individual information of the subject; adjusting the initial update direction and initial update step size according to the individualized constraints to obtain the target update direction and target update step size; and obtaining the second adjustment strategy for each of the target first electrical stimulation parameters based on the target update direction and target update step size.

[0012] Optionally, the first electrical stimulation signal includes: a first electrode and a first electrical stimulation parameter corresponding to the first electrode; the step of generating a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information includes: acquiring a candidate second electrical stimulation signal; the second electrical stimulation signal indicates a second electrode and a second electrical stimulation parameter corresponding to the second electrode; and determining the first electrode and the first electrical stimulation parameter corresponding to the first electrode from the second electrode and the second electrical stimulation parameter based on the first attribute information and the individualized constraints.

[0013] Optionally, the method further includes: obtaining preset safety constraints; the preset safety constraints include at least one of the following: upper limit of stimulation intensity, upper limit of single stimulation duration, upper limit of cumulative stimulation load per unit time, upper limit of single stimulation channel load, multi-stimulation channel coordination restriction, and subject active termination constraint; under the premise of satisfying the preset safety constraints, performing the steps of generating a first electrical stimulation signal corresponding to the subject and updating the first electrical stimulation signal according to the deviation result.

[0014] Optionally, the feedback information includes at least one of the following: text information, voice information, image information, trajectory annotation information, eye-tracking response information, and behavioral response information.

[0015] Optionally, when there are multiple feedback messages, determining the actual induced second attribute information based on the feedback messages includes: determining a processing strategy corresponding to each of the multiple feedback messages based on the information types they correspond to; processing each of the feedback messages according to the processing strategy to obtain attribute information corresponding to each of the feedback messages; and integrating the attribute information to obtain the actual induced second attribute information.

[0016] This invention also provides a control system for a visual brain-computer interface based on optical illusions, comprising the following modules: The acquisition module is used to acquire the first attribute information corresponding to the expected target optic hallucination information and the individual information of the subject; The generation module is used to generate a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; The acquisition module is used to release the first electrical stimulation signal to the subject and acquire the feedback information from the subject. The determining module is used to determine the actual induced second attribute information based on the feedback information; An adjustment module is used to adjust the first electrical stimulation signal based on the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

[0017] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the control method of the visual brain-computer interface based on photo-phasing as described above.

[0018] The present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the control method of the visual brain-computer interface based on photo-phantom drive as described above.

[0019] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the control method of the visual brain-computer interface based on photopsychoscopic drive as described above.

[0020] This invention provides a method and system for regulating a visual brain-computer interface based on photopsychoscopic vision. By using the expected target photopsychoscopic vision information as the starting point for closed-loop regulation, the method can use the deviation between the first attribute information corresponding to the target photopsychoscopic vision information and the second attribute information fed back by the subject as the evaluation standard for quantitative evaluation, which effectively improves the efficiency and accuracy of regulation. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is one of the flowcharts illustrating the control method of the visual brain-computer interface based on optical illusion driving provided by the present invention.

[0023] Figure 2 This is a schematic diagram of the process for generating the first electrical stimulation signal provided by the present invention.

[0024] Figure 3 This is a flowchart illustrating the process of determining the second attribute information provided by the present invention.

[0025] Figure 4 This is a schematic diagram of the process provided by the present invention for determining whether a preset convergence condition is met based on the deviation result and performing closed-loop control.

[0026] Figure 5 This is a schematic diagram of the process for updating the first electrical stimulation parameter of the target based on the deviation result provided by the present invention.

[0027] Figure 6 This is a flowchart illustrating the first adjustment strategy for determining the target first electrical stimulation parameter under multiple deviation attribute conditions provided by the present invention.

[0028] Figure 7 This is the second flowchart illustrating the control method of the visual brain-computer interface based on optical illusion driving provided by the present invention.

[0029] Figure 8 This is a schematic diagram of the control device for a visual brain-computer interface based on optical illusion driving provided by the present invention.

[0030] Figure 9 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0032] Figure 1 This is one of the flowcharts illustrating the control method for a visual brain-computer interface based on optical illusions provided by this invention, such as... Figure 1 As shown, the method includes the following: Step 101: Obtain the first attribute information corresponding to the expected target light hallucination information and the subject's individual information.

[0033] The intended induced visual illusion information refers to the visual perception information that the subject is expected to receive. For example, it can be one or more luminous bright spots appearing in a specific area of ​​the visual field, simple graphics with a preset outline, visual perceptions with different brightness levels, visual perceptions with a flickering rhythm or direction of movement, etc.

[0034] The first attribute information corresponding to the target optical illusion information refers to the different attribute dimensions that can be extracted from the target optical illusion information. In an optional embodiment, it includes at least two of the following attributes: position attribute, brightness attribute, color attribute, shape attribute, size attribute, flicker attribute, motion attribute, and duration attribute. Each attribute in the first attribute information can have a corresponding attribute value, priority, and weight to determine which attribute in the target optical illusion information is most important for visual perception. For example, the target optical illusion information can be: a red circular flashing light spot of medium brightness appears at a specific position in the upper left corner of the field of vision, the light spot has a diameter of 1 cm, and flashes continuously for n seconds. The first attribute information obtained based on this target optical illusion information specifically includes: flicker attribute, duration attribute, brightness attribute, position attribute, color attribute, shape attribute, and size attribute. Specifically, the flicker attribute is the flickering frequency of the light spot, the duration attribute is continuous flashing for n seconds, the brightness attribute is medium brightness, the position attribute is a specific position in the upper left corner, the color attribute is red, the shape attribute is circular, and the size attribute is a diameter of 1 cm. For the target optical illusion information, the current task objective of the test subject can determine the weight of different attributes. For example, if it is most important for the test subject to perceive a flickering light spot, while the color and brightness of the light spot are less important, then the weight of the flickering attribute can be set relatively high, while the weights of the color and brightness attributes can be set relatively low. Similarly, if it is most important for the test subject to perceive a red circular light spot, then the weights of the color and shape attributes can be set relatively high, while the weights of other attributes can be set relatively low. It is understood that the weight settings can be adjusted according to the actual application or experimental scenario, and this invention does not impose specific limitations on this.

[0035] Individual information refers to information closely related to and specific to the subject. In one optional embodiment, it includes at least one of the following: electrode implantation location information, electrode number information, visual cortex functional zoning information, historical stimulation records, historical feedback results, stimulation safety threshold information, physiological state information, and individual calibration results. For invasive brain-computer interfaces, microelectrodes need to be directly inserted into the cerebral cortex. Different subjects have different internal structures of the cerebral cortex, functional zoning of the visual cortex, and immune rejection responses. Therefore, the electrode implantation location and stimulation safety threshold information will also differ. Furthermore, the body's response to electrical stimulation signals varies depending on the subject's physiological state. Therefore, in this embodiment of the invention, after acquiring multiple dimensions of individual information, a first electrical stimulation signal needs to be generated simultaneously based on the first attribute information and the individual information to ensure that the generated first electrical stimulation signal is applicable to the subject and to avoid damage to brain tissue or other accidents.

[0036] It should be noted that historical stimulation records and feedback results can be analyzed in advance to determine the mapping relationship between different individual information and electrical stimulation signals, so as to provide a basis for subsequent adjustments to the first electrical stimulation signal.

[0037] Step 102: Generate a first electrical stimulation signal corresponding to the subject based on the first attribute information and individual information.

[0038] In an optional embodiment, the first electrical stimulation signal may include a first electrode and a first electrical stimulation parameter corresponding to the first electrode, and step 102 described above may be as follows: Figure 2 As shown, it specifically includes: Step 201: Obtain the alternative second electrical stimulation signal; the second electrical stimulation signal indicates the second electrode and the second electrical stimulation parameters corresponding to the second electrode; Step 202: Determine the first electrode and the first electrical stimulation parameters corresponding to the first electrode from the second electrode and the second electrical stimulation parameters based on the first attribute information and individualized constraints.

[0039] It is understood that an electrical stimulation signal refers to an electrical signal released by an electrode according to electrical stimulation parameters. Therefore, an electrical stimulation signal includes both a physical electrode and various electrical stimulation parameters in a virtual sense. Electrodes, based on their material properties, can currently be divided into rigid electrodes (made of silicon or metal) and flexible electrodes (made of polymers such as polyimide and perfluoroelastomers). Different types of electrodes have different applications for immune rejection, signal acquisition, and applicable scenarios. Therefore, in this embodiment of the invention, commonly used electrodes in the prior art and their corresponding electrical stimulation parameters can be selected as candidates, and further filtered based on individual information and first attribute information to obtain the first electrical stimulation signal (i.e., the first electrode and its corresponding first electrical stimulation parameters).

[0040] In one optional embodiment, the first electrical stimulation parameter includes at least one of the following: stimulation intensity, stimulation frequency, stimulation duration, and stimulation channel; correspondingly, the second electrical stimulation parameter also includes at least one of the following: stimulation intensity, stimulation frequency, stimulation duration, and stimulation channel. It is understood that step 202 above requires first determining the first electrode that the subject can be compatible with from the second electrode, and then determining the first electrical stimulation parameter that can trigger the first attribute information from the parameter range included in the second electrical stimulation parameter. For example, the stimulation duration in the second electrical stimulation parameter is 200~500ms. Based on the individual information of the subject, the subject's compatibility constraint is determined to be a stimulation duration not exceeding 300ms. Therefore, the stimulation duration in the determined first electrical stimulation parameter can be 200ms, 250ms, or 280ms. Furthermore, the stimulation intensity in the second electrical stimulation parameter is 1mA~3mA. When the brightness attribute in the first attribute information corresponding to the target optic hallucination is medium brightness, the corresponding stimulation intensity cannot be lower than 2mA. Therefore, the stimulation intensity in the first electrical stimulation parameter determined based on the second electrical stimulation parameter and the first attribute information can be 2mA, 2.5mA, or 3mA. It is understood that the first electrical stimulation parameter can be a combination of multiple parameters, such as combination 1: stimulation intensity of 2mA and stimulation duration of 250ms; combination 2: stimulation intensity of 250ms and stimulation duration of 280ms. In a further optional embodiment, in addition to the above-mentioned electrical stimulation parameters, other parameters related to the electrical stimulation signal, such as stimulation frequency, pulse width, number of pulses, waveform type, and time interval between multiple channels, may also be included. This invention does not specifically limit these parameters.

[0041] Through the above steps 201 to 202, the first electrical stimulation signal (which specifically includes at least one combination of multiple electrical stimulation parameters) can be determined from the candidate second electrical stimulation signals based on the individual information of the subject and the first attribute information corresponding to the target photic hallucination information, ensuring the feasibility and suitability of the first electrical signal stimulation for the subject.

[0042] Step 103: Release the first electrical stimulation signal to the subject and collect feedback information from the subject.

[0043] Specifically, the first electrical stimulation signal can be converted into a control command that can be executed by hardware, and the corresponding electrode channel can be driven to output a stimulation sequence based on the control command, so as to release the first electrical stimulation signal to the subject.

[0044] The feedback information may include at least one of the following: text information, voice information, image information, trajectory annotation information, eye-tracking response information, and behavioral response information. Text information may be text content recorded by the subject; voice information may be content spoken by the subject; image information may be image content drawn by the subject; trajectory annotation information may be a description of the trajectory of light points in the perceived image by the subject; eye-tracking response information refers to the response information of the subject's eyes, specifically including a series of rapid, leaping eye movements; and behavioral response information may refer to the response information of the subject's limbs, such as limb movements. In this embodiment of the invention, there are multiple ways to obtain feedback information. For example, the subject can select information by clicking on a touchscreen. For instance, a standardized feedback interface can be provided, allowing the subject to select or score different attribute information. Different options or scores can be set for attributes such as position, brightness, color, shape, size, flicker, motion, and duration. The subject can directly make corresponding selections based on their actual perception of photoillusion to generate comprehensive feedback information. Alternatively, paper and pen or a touchscreen can be provided to the subject for actual drawing; this invention does not specifically limit this approach.

[0045] Step 104: Determine the actual induced second attribute information based on the feedback information.

[0046] The feedback information from various dimensions is often fragmented and unrelated. Therefore, it is necessary to extract attributes from the feedback information from multiple dimensions in order to obtain secondary attribute information that can comprehensively represent what the subject actually feels under the photophantom.

[0047] In an optional embodiment, when there are multiple feedback messages, step 104 can be performed as follows: Figure 3 As shown, it specifically includes: Step 301: Determine the processing strategy for each feedback message based on the information type corresponding to the multiple feedback messages. Step 302: Process each feedback message according to the processing strategy to obtain the attribute information corresponding to each feedback message; Step 303: Integrate the various attribute information to obtain the actual induced second attribute information.

[0048] The processing strategy can be understood as a method for extracting attribute information from feedback information. For example, for text or voice information, semantic recognition or keyword matching can be used to determine the corresponding attribute information. For image information, appropriate image processing methods are needed to perform contour recognition and spatial localization analysis to obtain potential color, position, shape, or size attributes. For trajectory annotation information, trajectory reconstruction is required, and shape and motion attributes are determined based on the reconstructed trajectory. For eye-tracking response information, the gaze area of ​​the eye-tracking response can be analyzed to obtain the corresponding position attributes. For behavioral response information, the action result of the behavioral response can be identified and judged to obtain the corresponding attribute information. It should be noted that it is usually impossible to obtain all attribute information based on a single piece of information (e.g., image information alone cannot represent motion, flicker, or brightness attributes), and there are individual differences in how subjects describe various attributes, making it difficult to accurately describe each attribute. Therefore, it is necessary to integrate various attribute information to obtain the actual induced secondary attribute information.

[0049] Step 105: Adjust the first electrical stimulation signal according to the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

[0050] In this embodiment of the invention, by comparing the first attribute information and the second attribute information, the difference between the target photic hallucination information and the actually induced photic hallucination information can be determined from the attribute dimension and the comprehensive deviation score dimension, thereby enabling precise adjustment of the first electrical stimulation signal.

[0051] Specifically, when the deviation result includes deviation attributes that differ between the first attribute information and the second attribute information, the process of determining the deviation result between the first attribute information and the second attribute information specifically includes: determining the deviation value corresponding to each deviation attribute; normalizing the deviation values ​​corresponding to each deviation attribute; and generating the deviation result based on the normalization result. Further, when the deviation result includes a comprehensive deviation score, the process of determining the deviation result between the first attribute information and the second attribute information further includes: weighted summing of each deviation attribute according to its respective weight to obtain the comprehensive deviation score. Alternatively, one can first determine the deviation score corresponding to each deviation attribute based on each deviation attribute and its corresponding deviation value; then weighted summing of the deviation scores corresponding to each deviation attribute to obtain the comprehensive deviation score. This invention does not specifically limit the method for calculating the comprehensive deviation score, as long as it comprehensively reflects the overall deviation result of different deviation attributes.

[0052] For example, the deviation values ​​corresponding to different deviation attributes can be calculated through the following process: (1) The position attribute deviation can be determined by the difference between the position attribute in the first attribute information and the position attribute in the second attribute information; (2) The brightness attribute deviation can be determined by the difference between the brightness level corresponding to the brightness attribute in the first attribute information and the brightness level corresponding to the brightness attribute in the second attribute information; (3) Color attribute deviation can be determined by whether the color category corresponding to the color attribute in the first attribute information is consistent or similar to the color category corresponding to the color attribute in the second attribute information; (4) The shape attribute deviation can be determined by the degree of difference between the contour indicated by the shape attribute in the first attribute information and the contour indicated by the shape attribute in the second attribute information; (5) The deviation of motion attributes can be determined by the degree of difference between the motion type and / or motion direction and / or motion speed indicated by the motion attributes in the first attribute information and the motion type and / or motion direction and / or motion speed indicated by the motion attributes in the second attribute information; (6) The flicker attribute deviation can be determined by the difference between the flicker frequency indicated by the flicker attribute in the first attribute information and the flicker frequency indicated by the flicker attribute in the second attribute information; (7) The deviation of the duration attribute can be determined by the degree of difference between the duration indicated by the duration attribute in the first attribute information and the duration indicated by the duration attribute in the second attribute information.

[0053] As can be seen, the embodiments of the present invention first determine the deviation attributes that differ between the first attribute information and the second attribute information through the above process, and then calculate the deviation value corresponding to each deviation attribute to obtain the overall comprehensive deviation score of the first attribute information and the second attribute information. This score is used as the deviation result between the first attribute information and the second attribute information and is used as the adjustment basis for the subsequent adjustment of the first electrical stimulation signal.

[0054] In an optional embodiment, the first electrical stimulation signal is adjusted in a closed loop by comparing the deviation result with a preset convergence condition. Specifically, step 105 above is as follows: Figure 4 As shown, it includes: Step 401: Determine whether the deviation between the first attribute information and the second attribute information meets the preset convergence condition; If so, proceed to step 402: associate and store the target optic hallucination information, the first attribute information, the first electrical stimulation signal, and the individual information. If not, proceed to steps 403 and 404; Step 403: Update the first electrical stimulation signal based on the deviation results; Step 404: Determine the actual induced new second attribute information based on the new first electrical stimulation signal until the deviation between the first attribute information and the new second attribute information satisfies the preset convergence condition.

[0055] The preset convergence conditions may include at least one of the following: the overall deviation score is less than the preset score threshold, the deviation value corresponding to the deviation attribute is less than the preset deviation threshold, and the number of deviation attributes is less than the preset number.

[0056] In other words, in this embodiment of the invention, by comparing the deviation result with the preset convergence condition, the first electrical stimulation signal can be adjusted repeatedly if the deviation condition does not meet the preset convergence condition, until the deviation result meets the preset convergence condition.

[0057] After obtaining the deviation results, adjusting the first electrical stimulation signal based on these results is crucial, as the specific adjustment process directly determines the accuracy and stability of the adjustment. In an optional embodiment of the present invention, when the deviation results include at least one deviation attribute and the deviation values ​​corresponding to each deviation attribute, the process of updating the first electrical stimulation signal based on the deviation results in step 403 can be as follows: Figure 5 As shown, it includes: Step 501: Based on the deviation attributes, determine the target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal; Step 502: Determine the first adjustment strategy for the target first electrical stimulation parameter based on the deviation attribute and deviation value; Step 503: Update the target first electrical stimulation parameters according to the first adjustment strategy.

[0058] In the embodiments of the present invention, the inventors discovered that there are different correlations between different attributes and different electrical stimulation parameters. This means that the specific first electrical stimulation parameter to be adjusted is different depending on the different deviation attributes to be adjusted. In particular, when the first electrical stimulation signal itself includes multiple first electrical stimulation parameters, it is necessary to effectively determine the target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal according to the deviation attribute, thereby achieving targeted regulation of some electrical stimulation parameters.

[0059] Specifically, the inventors discovered that the position attribute is mainly determined by the combination of stimulation channels and the stimulation channel parameters in the first electrical stimulation signal; the brightness attribute is mainly determined by the stimulation channel parameters and the stimulation intensity parameter in the first electrical stimulation signal; the shape attribute is mainly determined by the position of the stimulation channels, the combination of stimulation channels, and the delay between multiple stimulation channels in the first electrical stimulation signal; the motion attribute is mainly determined by the combination of stimulation channels and the activation order between multiple stimulation channels; the color attribute is mainly determined by the combination of stimulation channels related to color; and the flicker attribute is mainly determined by the position of the stimulation channels, the stimulation frequency parameter, and the stimulation intensity parameter. Therefore, in an optional embodiment, the method for determining the target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal includes at least one of the following: (1) When the deviation attribute is at least one of the position attribute, shape attribute and color attribute, the stimulation channel position and / or stimulation channel combination in the first electrical stimulation signal shall be used as the target first electrical stimulation parameter; (2) When the deviation attribute is the brightness attribute, the stimulation intensity parameter in the first electrical stimulation signal is used as the target first electrical stimulation parameter; (3) When the deviation attribute is a flicker attribute, the stimulation intensity parameter and / or stimulation frequency parameter in the first electrical stimulation signal shall be used as the target first electrical stimulation parameter; (4) When the deviation attribute is the duration attribute, the stimulation duration parameter and / or stimulation pulse sequence length in the first electrical stimulation signal are used as the target first electrical stimulation parameter; (5) When the deviation attribute is a motion attribute, the combination of stimulation channels and / or the activation order of stimulation channels in the first electrical stimulation signal are used as the target first electrical stimulation parameter.

[0060] It should be noted that the presentation of optical illusions cannot be achieved simply by controlling a single attribute with a single electrical stimulation signal. In reality, there are intricate internal connections between different attributes and different electrical stimulation signals. Certain electrical stimulation signals only produce specific attributes through synergistic effects. Therefore, in this embodiment of the invention, the correlation between attributes and electrical stimulation signals is not one-to-one, and different priority orders are set for different deviation attributes. In an optional embodiment, the process of determining the first adjustment strategy of the target first electrical stimulation parameter in step 502 is as follows: Figure 6 As shown, it specifically includes: Step 601: Determine the adjustment order of the first electrical stimulation parameters for each target based on the priority order among the various deviation attributes; Step 602: Determine the second adjustment strategy for the first electrical stimulation parameter of each target based on the deviation value corresponding to each deviation attribute; Step 603: Generate the first adjustment strategy according to the adjustment order and the second adjustment strategy corresponding to the first electrical stimulation parameters of each target.

[0061] For example, position, brightness, and shape attributes can be set as strongly constrained attributes, motion and color attributes as moderately constrained attributes, and flicker and duration attributes as weakly constrained attributes. The priority order of different deviation attributes is determined based on the different constraint intensities, thereby further determining the adjustment order of the first electrical stimulation parameters for each target. For example, the specific implementation process of steps 601 to 603 above can be as follows: (1) Adjustment of position attributes Since location is a strongly constrained attribute, the stimulation channel or current steering parameters can be adjusted first. Specifically, if the deviation of the location attribute is an overall translational deviation, the stimulation channel that is closer to the visual field area indicated by the first attribute information can be switched; if the deviation value is less than a preset threshold, fine-tuning can be done by adjusting the current distribution ratio between adjacent channels; if the deviation of the location attribute is accompanied by local misalignment of the contour, it can also be corrected by combining multi-channel weight distribution.

[0062] (2) Adjustment of brightness attribute Since brightness is a strongly constrained attribute, stimulus intensity can be adjusted preferentially. Specifically, when the brightness is too low, the stimulus intensity of the corresponding channel or channel group can be increased to improve subjective brightness; when the brightness is too high, causing discomfort or local overexposure, the stimulus intensity should be reduced. In some embodiments, if simply increasing the intensity leads to the expansion of the phantom range or shape distortion, further channel reselection, current redirection, or other optimization methods are needed to achieve a balance between brightness enhancement and shape preservation.

[0063] (3) Adjustment of shape attributes Since shape is a strongly constrained attribute, the combination of stimulation channels and stimulation strategies can be adjusted preferentially. Specifically, for static contour-related deviations, the continuity of boundaries can be improved by increasing or decreasing the number of channels involved in stimulation, changing the spatial arrangement of channels, adjusting the weight of each channel, or using current diversion. For shape deviations formed by temporal organization, the channel opening sequence, duration, or multi-channel delay can be further adjusted. If the shape deviation is accompanied by locally invisible areas, local stimulation intensity can be used for compensation.

[0064] (4) Adjustment of motion attributes Since motion is a moderately constrained attribute, the target first electrical stimulation parameters corresponding to the motion attribute will only be adjusted after the strong constraint attribute is basically satisfied. Specifically, the stimulation strategy and multi-channel delay can be adjusted. For example, the motion direction can be corrected by changing the channel activation order, the motion speed can be corrected by adjusting the time interval between channels, and the trajectory continuity can be improved by supplementing intermediate path channels or optimizing the scanning rhythm. In some embodiments, when the motion clarity is insufficient, the stimulation intensity of each channel on the motion path can also be adjusted to be consistent.

[0065] (5) Adjustment of color attributes Since color is a moderately constrained attribute, similar to motion attributes, the corresponding target first electrical stimulation parameters will be adjusted only after the position, brightness, and shape attributes meet the requirements. Specifically, the selection of color-related stimulation channels, channel combinations, and necessary timing strategies can be adjusted. In some embodiments, color perception has strong individual differences and stability limitations; therefore, the system can establish a set of adjustable color channels based on the subject's historical feedback. Color is only used as an effective closed-loop optimization target when the corresponding color feedback has sufficient stability; otherwise, it is downgraded or used only as an auxiliary constraint.

[0066] (6) Adjustment of blinking attribute Since flickering is a weakly constrained property, the stimulation frequency is adjusted first without compromising position, brightness, and shape, and can be supplemented by burst mode. If frequency adjustment causes subjective changes in brightness or a decrease in stability, the system can further perform small-scale intensity compensation, but the consistency of flickering properties is not prioritized at the expense of strong constrained properties.

[0067] As can be seen, the embodiments of the present invention adjust each deviation attribute sequentially based on the priority order of the deviation attributes and the target first electrical stimulation parameters corresponding to each deviation attribute. After the strong constraint attribute meets the preset convergence condition, the medium constraint attribute and the weak constraint attribute are adjusted sequentially, thereby realizing a global to local adjustment strategy among multiple attributes.

[0068] In an optional embodiment, the process of determining the second adjustment strategy for each target first electrical stimulation parameter in step 602 may specifically include: determining the initial update direction and initial update step size for each target first electrical stimulation parameter based on the sign and magnitude of each deviation value; determining the individualized constraints of the subject based on the individual information of the subject; adjusting the initial update direction and initial update step size according to the individualized constraints to obtain the target update direction and target update step size; and obtaining the second adjustment strategy for each target first electrical stimulation parameter based on the target update direction and target update step size.

[0069] It is important to emphasize that, to ensure the safety of the entire execution process, this embodiment of the invention also sets preset safety constraints, specifically including at least one of the following: an upper limit for stimulation intensity, an upper limit for the duration of a single stimulation, an upper limit for the cumulative stimulation load per unit time, an upper limit for the load of a single stimulation channel, a limit for the coordination of multiple stimulation channels, and a constraint on the subject's active termination. In an optional embodiment, under the premise of satisfying the preset safety constraints, the steps of generating a first electrical stimulation signal corresponding to the subject and updating the first electrical stimulation signal according to the deviation result are performed. It is evident that the preset safety constraints in this embodiment of the invention permeate the entire process, avoiding harm to the subject during the generation or adjustment of the electrical stimulation signal, and ensuring the safety of the overall regulation.

[0070] The following is based on Figure 7 Taking an example, the overall flow of the control method for a visual brain-computer interface driven by optical illusions provided in this embodiment of the invention will be illustrated. Figure 7 As shown, it includes: Step 701: Obtain the first attribute information corresponding to the expected target photic hallucination information and the subject's individual information; Step 702: Generate a first electrical stimulation signal corresponding to the subject based on the first attribute information and individual information; Step 703: Release the first electrical stimulation signal to the subject and collect feedback information from the subject; Step 704: Determine the actual induced second attribute information based on the feedback information; Step 705: Determine whether the deviation between the first attribute information and the second attribute information meets the preset convergence condition; If so, proceed to step 706: associate and store the target optic hallucination information, first attribute information, first electrical stimulation signal, and individual information. If not, proceed to step 707, update the first electrical stimulation signal based on the deviation result, and repeat steps 704 to 705 after proceeding to step 707.

[0071] In summary, the modulation method and system based on photopsychoscopic visual brain-computer interface provided by the embodiments of the present invention, by taking the expected induced target photopsychoscopic information as the starting point of closed-loop modulation, can use the deviation between the first attribute information corresponding to the target photopsychoscopic information and the second attribute information fed back by the subject as the evaluation standard for quantitative evaluation, which effectively improves the efficiency and accuracy of modulation.

[0072] The control system of the visual brain-computer interface based on photo-phasing provided by the present invention will be described below. The control system of the visual brain-computer interface based on photo-phasing described below can be referred to in correspondence with the control method of the visual brain-computer interface based on photo-phasing described above.

[0073] like Figure 8 As shown, the control system 800 based on a visual brain-computer interface driven by optical illusions provided in this embodiment of the invention includes: The acquisition module 801 is used to acquire the first attribute information corresponding to the expected target optic hallucination information and the individual information of the subject; The generation module 802 is used to generate a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; The acquisition module 803 is used to release the first electrical stimulation signal to the subject and acquire the feedback information from the subject. The determining module 804 is used to determine the actual induced second attribute information based on the feedback information; The adjustment module 805 is used to adjust the first electrical stimulation signal according to the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

[0074] In an optional embodiment of the present invention, the adjustment module 805 is further configured to: update the first electrical stimulation signal according to the deviation result when the deviation result between the first attribute information and the second attribute information does not meet the preset convergence condition; determine the actually induced new second attribute information based on the new first electrical stimulation signal, until the deviation result between the first attribute information and the new second attribute information meets the preset convergence condition.

[0075] In an optional embodiment of the present invention, the preset convergence condition includes at least one of the following: the overall deviation score is less than a preset score threshold, the deviation value corresponding to the deviation attribute is less than a preset deviation threshold, and the number of deviation attributes is less than a preset number.

[0076] In an optional embodiment of the present invention, the deviation result includes at least one deviation attribute and a deviation value corresponding to each deviation attribute; the adjustment module 805 is further configured to: determine a target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal according to the deviation attribute; determine a first adjustment strategy for the target first electrical stimulation parameter according to the deviation attribute and the deviation value; and update the target first electrical stimulation parameter according to the first adjustment strategy.

[0077] In an optional embodiment of the present invention, determining the target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal based on the deviation attribute includes at least one of the following: when the deviation attribute is at least one of position attribute, shape attribute, and color attribute, the stimulation channel position and / or stimulation channel combination in the first electrical stimulation signal is used as the target first electrical stimulation parameter; when the deviation attribute is a brightness attribute, the stimulation intensity parameter in the first electrical stimulation signal is used as the target first electrical stimulation parameter; when the deviation attribute is a flicker attribute, the stimulation intensity parameter and / or stimulation frequency parameter in the first electrical stimulation signal is used as the target first electrical stimulation parameter; when the deviation attribute is a duration attribute, the stimulation duration parameter and / or stimulation pulse sequence length in the first electrical stimulation signal is used as the target first electrical stimulation parameter; when the deviation attribute is a motion attribute, the stimulation channel combination and / or stimulation channel activation order in the first electrical stimulation signal is used as the target first electrical stimulation parameter.

[0078] In an optional embodiment of the present invention, when there are multiple deviation attributes, the adjustment module 805 is further configured to: determine the adjustment order of each target first electrical stimulation parameter according to the priority order among the various deviation attributes; determine the second adjustment strategy of each target first electrical stimulation parameter according to the deviation value corresponding to each deviation attribute; and generate a first adjustment strategy according to the adjustment order and the second adjustment strategy corresponding to each target first electrical stimulation parameter.

[0079] In an optional embodiment of the present invention, the adjustment module 805 is further configured to: determine the initial update direction and initial update step size of each of the target first electrical stimulation parameters based on the sign and magnitude of each deviation value; determine the individualized constraints of the subject based on the individual information of the subject; adjust the initial update direction and the initial update step size according to the individualized constraints to obtain the target update direction and the target update step size; and obtain a second adjustment strategy for each of the target first electrical stimulation parameters based on the target update direction and the target update step size.

[0080] In an optional embodiment of the present invention, the first electrical stimulation signal includes: a first electrode and a first electrical stimulation parameter corresponding to the first electrode; the generation module 802 is further configured to: acquire a candidate second electrical stimulation signal; the second electrical stimulation signal indicates a second electrode and a second electrical stimulation parameter corresponding to the second electrode; and determine the first electrode and the first electrical stimulation parameter corresponding to the first electrode from the second electrode and the second electrical stimulation parameter according to the first attribute information and the individualized constraints.

[0081] In an optional embodiment of the present invention, the generation module 802 is further configured to obtain preset safety constraints; the preset safety constraints include at least one of the following: upper limit of stimulation intensity, upper limit of single stimulation duration, upper limit of cumulative stimulation load per unit time, upper limit of single stimulation channel load, multi-stimulation channel coordination restriction, and subject active termination constraint; under the premise of satisfying the preset safety constraints, the steps of generating a first electrical stimulation signal corresponding to the subject and updating the first electrical stimulation signal according to the deviation result are executed.

[0082] In an optional embodiment of the present invention, the feedback information includes at least one of the following: text information, voice information, image information, trajectory annotation information, eye-tracking response information, and behavioral response information.

[0083] In an optional embodiment of the present invention, the determining module 804 is further configured to, when there are multiple feedback messages, determine a processing strategy corresponding to each of the feedback messages according to the information type corresponding to each of the multiple feedback messages; process each of the feedback messages according to the processing strategy to obtain attribute information corresponding to each of the feedback messages; and integrate the attribute information to obtain the second attribute information actually induced.

[0084] In summary, the control system based on photopsychoscopic vision driven by the embodiments of the present invention, by using the expected induced target photopsychoscopic information as the starting point of closed-loop regulation, can use the deviation between the first attribute information corresponding to the target photopsychoscopic information and the second attribute information fed back by the subject as the evaluation standard for quantitative evaluation, which effectively improves the efficiency and accuracy of regulation.

[0085] Figure 9 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 9 As shown, the electronic device may include: a processor 910, a communications interface 920, a memory 930, and a communications bus 940, wherein the processor 910, the communications interface 920, and the memory 930 communicate with each other through the communications bus 940. The processor 910 can call logic instructions in the memory 930 to execute a modulation method for a visual brain-computer interface driven by photopsychotropes. This method includes: acquiring first attribute information corresponding to the target photopsychotropes to be induced and individual information of the subject; generating a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; releasing the first electrical stimulation signal to the subject and collecting feedback information from the subject; determining the actually induced second attribute information based on the feedback information; and adjusting the first electrical stimulation signal based on the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that differs between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

[0086] Furthermore, the logical instructions in the aforementioned memory 930 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0087] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the modulation method of the visual brain-computer interface based on photopsychoscopic drive provided by the above methods. The method includes: acquiring first attribute information corresponding to the target photopsychoscopic information to be induced and individual information of the subject; generating a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; releasing the first electrical stimulation signal to the subject and collecting feedback information from the subject; determining the second attribute information actually induced based on the feedback information; and adjusting the first electrical stimulation signal based on the deviation result between the first attribute information and the second attribute information. The deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information. The comprehensive deviation score is calculated based on the deviation value.

[0088] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a modulation method for a visual brain-computer interface based on photopsychoscopic drive provided by the methods described above. This method includes: acquiring first attribute information corresponding to target photopsychoscopic information to be induced and individual information of a subject; generating a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; releasing the first electrical stimulation signal to the subject and collecting feedback information from the subject; determining actual induced second attribute information based on the feedback information; and adjusting the first electrical stimulation signal based on a deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute having a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

[0089] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0090] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling a visual brain-computer interface based on photopsychoscopic vision, characterized in that, include: Acquire the first attribute information corresponding to the expected induced target photic hallucinations and the individual information of the subjects; Based on the first attribute information and the individual information, a first electrical stimulation signal corresponding to the subject is generated; The first electrical stimulation signal is released to the subject, and feedback information from the subject is collected. The actual induced second attribute information is determined based on the feedback information; The first electrical stimulation signal is adjusted based on the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

2. The control method for a visual brain-computer interface based on photopsychoscopic vision as described in claim 1, characterized in that, The step of adjusting the first electrical stimulation signal based on the deviation between the first attribute information and the second attribute information includes: When the deviation between the first attribute information and the second attribute information does not meet the preset convergence condition, the first electrical stimulation signal is updated according to the deviation result. Based on the new first electrical stimulation signal, determine the actual induced new second attribute information until the deviation between the first attribute information and the new second attribute information satisfies the preset convergence condition.

3. The control method for a visual brain-computer interface based on photopsychoscopic vision as described in claim 2, characterized in that, The preset convergence condition includes at least one of the following: the overall deviation score is less than a preset score threshold, the deviation value corresponding to the deviation attribute is less than a preset deviation threshold, and the number of deviation attributes is less than a preset number.

4. The control method for a visual brain-computer interface based on photopsychoscopic vision as described in claim 3, characterized in that, When the deviation result includes at least one deviation attribute and a deviation value corresponding to each deviation attribute; Updating the first electrical stimulation signal based on the deviation result includes: Based on the deviation attribute, the target first electrical stimulation parameter to be adjusted is determined from the first electrical stimulation signal; A first adjustment strategy for the target first electrical stimulation parameter is determined based on the deviation attribute and the deviation value; The target first electrical stimulation parameter is updated according to the first adjustment strategy.

5. The control method for a visual brain-computer interface based on photopsychoscopic actuation according to claim 4, characterized in that, The step of determining the target first electrical stimulation parameter to be adjusted from the first electrical stimulation signal based on the deviation attribute includes at least one of the following: When the deviation attribute is at least one of position attribute, shape attribute and color attribute, the stimulation channel position and / or stimulation channel combination in the first electrical stimulation signal is used as the target first electrical stimulation parameter. When the deviation attribute is a brightness attribute, the stimulation intensity parameter in the first electrical stimulation signal is used as the target first electrical stimulation parameter. When the deviation attribute is a flicker attribute, the stimulation intensity parameter and / or stimulation frequency parameter in the first electrical stimulation signal are used as the target first electrical stimulation parameter. When the deviation attribute is a duration attribute, the stimulation duration parameter and / or stimulation pulse sequence length in the first electrical stimulation signal are used as the target first electrical stimulation parameter. When the deviation attribute is a motion attribute, the combination of stimulation channels and / or the activation order of stimulation channels in the first electrical stimulation signal are used as the target first electrical stimulation parameter.

6. The control method for a visual brain-computer interface based on photopsychoscopic actuation according to claim 4, characterized in that, When there are multiple deviation attributes, the first adjustment strategy for determining the target first electrical stimulation parameter based on the deviation attributes and the deviation value includes: Based on the priority order among the various deviation attributes, the adjustment order of the target first electrical stimulation parameters corresponding to each of the deviation attributes is determined. Based on the deviation value corresponding to each of the deviation attributes, a second adjustment strategy is determined for each of the target first electrical stimulation parameters. A first adjustment strategy is generated based on the adjustment order and the second adjustment strategy corresponding to each of the target first electrical stimulation parameters.

7. The control method for a visual brain-computer interface based on photopsychoscopic vision as described in claim 6, characterized in that, The step of determining the second adjustment strategy corresponding to each of the target first electrical stimulation parameters based on the deviation value corresponding to each of the deviation attributes includes: Based on the sign and magnitude of each deviation value, the initial update direction and initial update step size of each target first electrical stimulation parameter are determined. Based on the individual information of the subject, determine the individualized constraints of the subject; The initial update direction and the initial update step size are adjusted according to the individualized constraints to obtain the target update direction and the target update step size; Based on the target update direction and the target update step size, a second adjustment strategy for each of the target's first electrical stimulation parameters is obtained.

8. The control method for a visual brain-computer interface based on photopsychoscopic vision as described in claim 7, characterized in that, The first electrical stimulation signal includes: a first electrode and a first electrical stimulation parameter corresponding to the first electrode; the step of generating a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information includes: Acquire an alternative second electrical stimulation signal; the second electrical stimulation signal indicates the second electrode and the second electrical stimulation parameters corresponding to the second electrode; Based on the first attribute information and the individualized constraints, the first electrode and the first electrical stimulation parameter corresponding to the first electrode are determined from the second electrode and the second electrical stimulation parameters.

9. The control method for a visual brain-computer interface based on photopsychoscopic actuation according to claim 2, characterized in that, Also includes: Obtain preset security constraints; The preset safety constraints include at least one of the following: upper limit of stimulation intensity, upper limit of single stimulation duration, upper limit of cumulative stimulation load per unit time, upper limit of single stimulation channel load, multi-stimulation channel coordination restriction, and subject active termination constraint. Under the premise of satisfying the preset safety constraints, the steps of generating a first electrical stimulation signal corresponding to the subject and updating the first electrical stimulation signal according to the deviation result are performed.

10. The control method for a visual brain-computer interface based on photopsychoscopic actuation according to claim 1, characterized in that, The feedback information includes at least one of the following: text information, voice information, image information, trajectory annotation information, eye-tracking response information, and behavioral response information.

11. The control method for a visual brain-computer interface based on photopsychoscopic actuation according to claim 10, characterized in that, When there are multiple pieces of feedback information, determining the actually induced second attribute information based on the feedback information includes: Based on the information types corresponding to the multiple feedback messages, determine the processing strategy corresponding to each feedback message; The feedback information is processed according to the processing strategy to obtain the attribute information corresponding to each feedback information. The various attribute information is integrated to obtain the second attribute information that is actually induced.

12. A control system for a visual brain-computer interface based on photopsychoscopic vision, characterized in that, include: The acquisition module is used to acquire the first attribute information corresponding to the expected target optic hallucination information and the individual information of the subject; The generation module is used to generate a first electrical stimulation signal corresponding to the subject based on the first attribute information and the individual information; The acquisition module is used to release the first electrical stimulation signal to the subject and acquire the feedback information from the subject. The determining module is used to determine the actual induced second attribute information based on the feedback information; An adjustment module is used to adjust the first electrical stimulation signal based on the deviation result between the first attribute information and the second attribute information; wherein the deviation result includes at least one of the following: a deviation attribute that has a difference between the first attribute information and the second attribute information, a deviation value corresponding to the deviation attribute, and a comprehensive deviation score between the first attribute information and the second attribute information; wherein the comprehensive deviation score is calculated based on the deviation value.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the control method of the visual brain-computer interface based on optical illusion driving as described in any one of claims 1 to 11.

14. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the control method of the visual brain-computer interface based on optical illusion driving as described in any one of claims 1 to 11.

15. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the control method of the visual brain-computer interface based on optical illusion driving as described in any one of claims 1 to 11.

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