Method and device for distinguishing different subtypes of attention deficit hyperactivity disorder

Abstract

The invention discloses a method and device for distinguishing different subtypes of attention deficit hyperactivity disorder, and the method comprises the steps: setting visual stimulation information and auditory stimulation information, the visual stimulation information comprises visual letter information and visual square position information, and the auditory stimulation information comprises auditory letter pronunciation information and auditory digital pronunciation information; generating a stimulation strategy according to the visual stimulation information and the auditory stimulation information; performing visual and auditory stimulation processing according to the stimulation strategy to obtain a correct rate, average correct response time and a comprehensive score; and according to the correct rate, the average correct reaction time and the comprehensive score, carrying out attention deficit hyperactivity disorder subtype distinguishing treatment to obtain a subtype distinguishing result. According to the method, different subtypes of attention deficit hyperactivity disorder are distinguished, and the accuracy and efficiency are improved. The method can be widely applied to the technical field of behavioral data analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of behavioral data analysis, and in particular to a method and device for distinguishing different subtypes of attention deficit hyperactivity disorder. Background Art

[0002] Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulse control deficits. ADHD can be divided into three clinical subtypes: ADHD-I (Inattentive), predominantly characterized by inattention; ADHD-HI (Hyperactive / Impulsive), predominantly characterized by hyperactivity / impulsiveness; and ADHD-C (Combined), a combination of both. Traditional methods for distinguishing between ADHD subtypes rely on clinical observation, behavioral assessment scales, or neuropsychological testing. However, these methods rely on subjective judgment by the evaluator, have low accuracy, require a long assessment time, and are inefficient.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0004] The embodiments of the present invention provide a method and device for distinguishing different subtypes of attention deficit hyperactivity disorder, which effectively improves accuracy and efficiency.

[0005] In one aspect, an embodiment of the present invention provides a method for distinguishing different subtypes of attention deficit hyperactivity disorder, comprising the following steps:

[0006] Setting visual stimulation information and auditory stimulation information, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information;

[0007] generating a stimulation strategy according to the visual stimulation information and the auditory stimulation information;

[0008] According to the stimulation strategy, visual and auditory stimulation processing was performed to obtain the accuracy rate, average correct reaction time and comprehensive score;

[0009] Attention deficit hyperactivity disorder subtype differentiation processing is performed based on the accuracy rate, the average correct reaction time and the comprehensive score to obtain a subtype differentiation result.

[0010] In some embodiments, the setting of visual stimulation information and auditory stimulation information includes:

[0011] Get the letters of the preset material quantity and the numbers of the preset material quantity;

[0012] Generating visual letter information corresponding to each letter according to the number of letters of the preset material;

[0013] Generating auditory letter pronunciation information corresponding to each letter according to the number of letters of the preset material;

[0014] Generating auditory digital pronunciation information corresponding to each number according to the number of the preset materials;

[0015] According to the number of grids with preset materials in the nine-square grid, the visual block position information corresponding to each grid is generated.

[0016] In some embodiments, generating a stimulation strategy based on the visual stimulation information and the auditory stimulation information includes:

[0017] selecting one of the visual stimulation information and the auditory stimulation information as target stimulation information;

[0018] generating gaze point information according to the first time interval;

[0019] generating the target stimulation information according to a second time interval after the first time interval;

[0020] After the second time interval, generating blank information according to a third time interval;

[0021] The sum of the time intervals between the target stimulation information and the blank information is taken as a stimulation cycle;

[0022] The stimulation strategy is generated according to the fixation point information, the stimulation information sequence and the stimulation cycle, wherein the stimulation information sequence includes a plurality of target stimulation information.

[0023] In some embodiments, performing visual and auditory stimulation processing according to the stimulation strategy to obtain the accuracy rate, average correct reaction time, and comprehensive score includes:

[0024] generating current stimulation information according to the stimulation strategy, so that the subject compares the current stimulation information with the stimulation information of a preset number of comparison cycles before the stimulation cycle, and obtains a single reaction time and a comparison result;

[0025] performing data cleaning on the single reaction time to obtain a single correct reaction time;

[0026] Calculating the average correct reaction time based on the multiple single correct reaction times;

[0027] Calculating the accuracy rate based on the multiple comparison results;

[0028] The comprehensive score is calculated based on the average correct reaction time and the accuracy rate.

[0029] In some embodiments, performing attention deficit hyperactivity disorder subtype differentiation processing based on the accuracy rate, the average correct reaction time, and the comprehensive score to obtain a subtype differentiation result includes:

[0030] Performing a first subtype analysis process according to the preset number of comparison cycles, the target stimulus information, the accuracy rate, and the average correct reaction time to obtain a first subtype analysis result;

[0031] performing a second subtype analysis process according to the preset number of comparison cycles, the target stimulus information, the average correct reaction time, and the comprehensive score to obtain a second subtype analysis result;

[0032] The subtype differentiation result is generated according to the first subtype analysis result and the second subtype analysis result.

[0033] In some embodiments, performing a first subtype analysis process based on the preset number of comparison cycles, the target stimulus information, the accuracy rate, and the average correct reaction time to obtain a first subtype analysis result includes:

[0034] If the preset number of comparison cycles is 3, the target stimulus information is the auditory letter pronunciation information, and the accuracy is less than the preset accuracy threshold, then the first indicator judgment result is obtained as meeting the requirements;

[0035] If the preset number of comparison cycles is 2, the target stimulus information is the auditory letter pronunciation information, and the average correct reaction time is greater than the first reaction time threshold, then the second indicator judgment result is obtained as meeting the requirements;

[0036] If the preset number of comparison cycles is 2, the target stimulus information is the visual block position information, and the average correct reaction time is greater than the second reaction time threshold, then the third indicator judgment result is obtained as meeting the requirements;

[0037] If the first indicator judgment result, the second indicator judgment result and the third indicator judgment result all meet the requirements, ADHD-C type will be used as the first subtype analysis result.

[0038] In some embodiments, performing a second subtype analysis process based on the preset number of comparison cycles, the target stimulus information, the average correct reaction time, and the comprehensive score to obtain a second subtype analysis result includes:

[0039] If the preset number of comparison cycles is 2, the target stimulus information is the auditory digital pronunciation information, and the average correct reaction time is greater than the third reaction time threshold, then the fourth indicator judgment result is obtained as meeting the requirements;

[0040] If the preset number of comparison cycles is 3, the target stimulus information is the auditory letter pronunciation information, and the comprehensive score is less than the preset score threshold, then the fifth indicator judgment result is obtained as meeting the requirements;

[0041] If only one of the fourth indicator judgment result and the fifth indicator judgment result meets the requirements and both visual indicators meet the visual indicator requirements, ADHD-I type will be used as the second subtype analysis result.

[0042] In some embodiments, the method further comprises:

[0043] Conduct behavioral experiments;

[0044] The behavioral experiment includes:

[0045] According to the ADHD Adult Self-Rating Scale and the Wender Utah Rating Scale, the subject information was collected;

[0046] After the subjects completed the stimulation test, the accuracy rate, average correct reaction time and comprehensive score corresponding to different subtypes were calculated based on the test results;

[0047] The accuracy rates, average correct reaction times and comprehensive scores corresponding to the different subtypes were compared and analyzed to obtain experimental results.

[0048] In another aspect, an embodiment of the present invention provides a device for distinguishing different subtypes of attention deficit hyperactivity disorder, comprising:

[0049] The first module is used to set visual stimulation information and auditory stimulation information, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information;

[0050] A second module is configured to generate a stimulation strategy based on the visual stimulation information and the auditory stimulation information;

[0051] The third module is used to process visual and auditory stimulation according to the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score;

[0052] The fourth module is used to perform attention deficit hyperactivity disorder subtype differentiation processing based on the accuracy rate, the average correct reaction time and the comprehensive score to obtain a subtype differentiation result.

[0053] In another aspect, an embodiment of the present invention provides a computer device, comprising:

[0054] at least one processor;

[0055] at least one memory for storing at least one program;

[0056] When the at least one program is executed by the at least one processor, the at least one processor implements the method.

[0057] On the other hand, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0058] The beneficial effects of the present invention are as follows:

[0059] The embodiment of the present invention first sets visual stimulation information and auditory stimulation information, then generates a stimulation strategy based on the visual stimulation information and the auditory stimulation information, and then performs visual and auditory stimulation processing based on the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score. Finally, attention deficit hyperactivity disorder subtype differentiation processing is performed based on the accuracy rate, average correct reaction time and comprehensive score to obtain the subtype differentiation result, so that different subtypes of attention deficit hyperactivity disorder can be differentiated through comprehensive evaluation of visual stimulation and auditory stimulation, thereby improving accuracy and efficiency.

[0060] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained through the structures particularly pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0062] Figure 1 This is a flow chart of a method for distinguishing different subtypes of attention deficit hyperactivity disorder according to an embodiment of the present invention;

[0063] Figure 2 A schematic diagram of a visual stimulus presentation process according to an embodiment of the present invention;

[0064] Figure 3 A schematic diagram of a presentation process of auditory stimulation according to an embodiment of the present invention;

[0065] Figure 4 This is a schematic diagram of a subject grouping situation according to an embodiment of the present invention;

[0066] Figure 5 A schematic diagram of an accuracy comparison result according to an embodiment of the present invention;

[0067] Figure 6 A schematic diagram of a comparison result of average correct reaction time according to an embodiment of the present invention;

[0068] Figure 7 A schematic diagram of a comprehensive score comparison result according to an embodiment of the present invention;

[0069] Figure 8 A histogram of the results of an auditory experiment according to an embodiment of the present invention;

[0070] Figure 9 A histogram of visual experiment results according to an embodiment of the present invention;

[0071] Figure 10 This is a schematic diagram of the structure of a device for distinguishing different subtypes of attention deficit hyperactivity disorder according to an embodiment of the present invention;

[0072] Figure 11 The figure is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0073] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are merely examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the appended claims.

[0074] It will be understood that the terms "first", "second", etc. used in this application may be used herein to describe various concepts, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0075] The terms "at least one", "plurality", "each", "any", etc. used in this application include "at least one", "two" or more, "plurality" or "each", "any" or "any one", "each" or "any one" as used herein.

[0076] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0077] Before explaining the embodiments of the present application in detail, some of the nouns and terms involved in the embodiments of the present application are first explained. The nouns and terms involved in the embodiments of the present application are subject to the following explanations.

[0078] Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulse control deficits.

[0079] ADHD-C: Combined ADHD, with symptoms of both inattention and hyperactivity-impulsivity.

[0080] ADHD-I: Inattentive ADHD, only attention deficit is one symptom.

[0081] ADHD-HI: Hyperactive-impulsive ADHD, with only one symptom: hyperactivity-impulsivity.

[0082] DSM-5: is the standard manual for the classification and diagnosis of mental disorders.

[0083] Conners Scale: A widely used assessment tool used primarily to assess behavioral problems in children and adolescents, particularly attention deficit hyperactivity disorder (ADHD) and other related behavioral and emotional disorders.

[0084] Stroop test: A classic psychology paradigm used to assess an individual's attention control ability, cognitive flexibility, and inhibitory control ability.

[0085] Continuous Performance Test (CPT): A neuropsychological test tool used to assess an individual's attention, response inhibition, and sustained vigilance.

[0086] N-back: A classic working memory experimental paradigm used to assess working memory capacity, attentional control, and cognitive flexibility. It measures working memory updating and maintenance by requiring participants to judge whether the current stimulus in a series of stimuli is the same as the Nth stimulus before it.

[0087] Adult Self-Report Scale (ASRS): A self-rating scale used to assess symptoms of attention deficit hyperactivity disorder (ADHD) in adults. It consists of two parts: ASRS-A, which measures inattention, and ASRS-B, which measures hyperactivity and impulsivity. These two scales can be used to differentiate between ADHD subtypes.

[0088] Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulse control deficits. It is common among school-age children, with a prevalence of approximately 5% to 10%. Symptoms persist into adulthood in approximately 60% to 86% of patients. According to the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, ADHD can be divided into three clinical subtypes: ADHD-I (Inattentive), characterized by predominantly inattentive symptoms; ADHD-HI (Hyperactive / Impulsive), characterized by predominantly hyperactive / impulsive symptoms; and ADHD-C (Combined), characterized by both symptoms. Epidemiological studies have shown the following distribution of the three ADHD subtypes across different populations: ADHD-C is the most common subtype, accounting for approximately 40% to 60% of cases; ADHD-I accounts for approximately 30% to 50%; and ADHD-HI is the least common, accounting for approximately 5% to 15%. Among them, ADHD-HI type is more prominent in preschool children, but as they age, some patients may evolve into ADHD-I type or ADHD-C type. In adolescents and adults with ADHD, ADHD-HI type patients are very rare. Therefore, based on sample representativeness, differences in cognitive mechanisms, and clinical practicality, the examples of this application choose to distinguish between ADHD-I and ADHD-C subtypes.

[0089] The existing technologies and methods for distinguishing different subtypes of ADHD are mainly the following: (1) Clinical observation assessment method: using the diagnostic criteria of the DSM-5 manual, observing the patient's symptoms through doctor interviews, and classifying different subtypes of ADHD according to the number and severity of the two core symptom items of attention deficit and hyperactivity-impulsivity. (2) Behavioral scale assessment method: the most common ones are the Conners teacher questionnaire, parent questionnaire and self-rating scale, which quantitatively assess the subject's attention, hyperactivity, impulsivity and other behaviors by scoring the behavior, and determine the subject's subtype based on the score. (3) Neuropsychological testing method: the most common Stroop test, continuous performance test (CPT), etc., by presenting visual / auditory stimuli, measuring the subject's reaction time, omission errors, accuracy and other behavioral indicators, which are used to assist in the assessment of different subtypes of ADHD.

[0090] However, the differentiation of different ADHD subtypes relies on symptom assessment, behavioral observation, and comprehensive judgment based on multifaceted information collection. There is a lack of effective, objectively quantifiable standards to evaluate different ADHD subtypes, and the following defects exist: (1) High subjectivity: The clinical assessment standard classification method and behavioral scale assessment method rely on the subjective judgment of doctors or assessors, and the consistency between different assessors cannot be guaranteed; if it is a third-party assessment, there is observer bias, especially the anxiety level of parents can easily affect the accuracy of the score; and the self-assessment scale requires the individual to conduct the assessment, which is subject to self-cognition bias, subjective scale scoring, lack of objective behavioral data support, and low accuracy. (2) High complexity: Neuropsychological tests and behavioral scale assessments require a long time and complex operation procedures. For example, the Weite Intelligence Scale and parent assessment questionnaire required for the common ADHD child assessment take more than 2 hours to complete, which is inefficient. (3) Unclear boundaries: The DSM-5 symptom items are vague in description (e.g., "frequent forgetfulness" lacks an operational definition), resulting in unclear boundaries between subtypes.

[0091] In view of this, the embodiment of the present invention sets visual stimulation information and auditory stimulation information, generates a stimulation strategy, performs visual and auditory stimulation processing, obtains the accuracy rate, average correct reaction time and comprehensive score, and performs attention deficit hyperactivity disorder subtype differentiation processing to obtain subtype differentiation results, so that it is possible to achieve differentiation of different subtypes of attention deficit hyperactivity disorder through comprehensive evaluation through visual stimulation and auditory stimulation, thereby improving accuracy and efficiency. At the same time, the embodiment of the present application has the following advantages: (1) Low cost and easy operation: through simple visual and auditory stimulation experiments, no expensive equipment is required, and it is suitable for use in environments such as home and school. (2) Strong objectivity: through quantitative analysis of behavioral data, the influence of subjective judgment is reduced and the accuracy of evaluation is improved. (3) Multimodal data fusion: combining visual and auditory behavioral characteristics, it more comprehensively reflects the working memory ability of the subjects and improves the ability to distinguish between ADHD-C type and ADHD-I type.

[0092] The embodiment of the present application provides a method for distinguishing different subtypes of attention deficit hyperactivity disorder, which relates to the field of behavioral data analysis technology. The embodiment of the present application provides a method for distinguishing different subtypes of attention deficit hyperactivity disorder, which can be applied to a terminal, a server, or software running in a terminal or a server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a car terminal, etc., but is not limited to this; the server side can be configured as an independent physical server, or as a server cluster or distributed system composed of multiple physical servers, or as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application that implements a method for distinguishing different subtypes of attention deficit hyperactivity disorder, etc., but is not limited to the above forms.

[0093] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected via a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0094] The following is a detailed explanation of the embodiments of the present application with reference to the accompanying drawings:

[0095] Figure 1 This is an optional flow chart of a method for distinguishing different subtypes of attention deficit hyperactivity disorder provided in an embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S104.

[0096] Step S101, setting visual stimulation information and auditory stimulation information, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information;

[0097] Step S102: generating a stimulation strategy based on the visual stimulation information and the auditory stimulation information;

[0098] Step S103: Perform visual and auditory stimulation processing according to the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score;

[0099] Step S104: Perform attention deficit hyperactivity disorder subtype differentiation processing based on the accuracy rate, average correct reaction time and comprehensive score to obtain a subtype differentiation result.

[0100] Steps S101 to S104 shown in the embodiment of the present application achieve the distinction between different subtypes of attention deficit hyperactivity disorder, thereby improving accuracy and efficiency.

[0101] In some embodiments, in step S101, setting the visual stimulation information and the auditory stimulation information may include but is not limited to the following steps:

[0102] Get the letters of the preset material quantity and the numbers of the preset material quantity;

[0103] Generate visual letter information corresponding to each letter based on the number of letters in the preset material;

[0104] Generate the auditory letter pronunciation information corresponding to each letter according to the preset number of letters;

[0105] Generate the auditory digital pronunciation information corresponding to each number according to the number of preset materials;

[0106] According to the number of grids with preset materials in the nine-square grid, the visual block position information corresponding to each grid is generated.

[0107] In some embodiments, visual stimulation information and auditory stimulation information can be set, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information. Based on the behavioral experimental method of the N-back paradigm, the visual and auditory working memory differences of the subjects can be explored through visual and auditory stimulation, so as to subsequently distinguish between ADHD-C type and ADHD-I type. A 2×4 design can be adopted, including 2 difficulty levels (2-back, 3-back) and 4 types of stimulus materials (i.e., visual letter information, visual block position information, auditory letter pronunciation information, auditory number pronunciation information). A preset number of materials, letters and a preset number of materials, numbers can be obtained first. For example, the preset number of materials can be set to 8 to obtain 8 letters and 8 numbers. Then, based on the preset number of letters, generate the visual letter information corresponding to each letter and the auditory letter pronunciation information corresponding to each letter; based on the preset number of numbers, generate the auditory number pronunciation information corresponding to each number; and based on the preset number of grids in the nine-square grid, generate the visual block position information corresponding to each grid. For example, PowerPoint can be used to draw the visual letter information corresponding to 8 letters, as well as the visual block position information corresponding to 8 different grids in a circle around a 3×3 nine-square grid. The grid in the middle can be removed as visual stimulus material. Adobe Audition can be used to generate the auditory letter pronunciation information corresponding to 8 letters and the auditory number pronunciation information corresponding to 8 numbers. The pronunciation duration of each stimulus is 0.5 seconds, as auditory stimulus material.

[0108] In some embodiments, in step S102, generating a stimulation strategy based on the visual stimulation information and the auditory stimulation information may include but is not limited to the following steps:

[0109] Select one of the visual stimulus information and the auditory stimulus information as the target stimulus information;

[0110] generating gaze point information according to the first time interval;

[0111] After the first time interval, generating target stimulus information according to the second time interval;

[0112] After the second time interval, generating blank information according to a third time interval;

[0113] The sum of the time intervals between target stimulus information and blank information is considered as a stimulus cycle;

[0114] A stimulation strategy is generated according to the fixation point information, the stimulation information sequence and the stimulation period, wherein the stimulation information sequence includes a plurality of target stimulation information.

[0115] In some embodiments, one item of information can be selected from the visual stimulation information and the auditory stimulation information as the target stimulation information, and one item of information can be selected from the visual letter information, the visual block position information, the auditory letter pronunciation information, and the auditory number pronunciation information. Then, according to the first time interval, the fixation point information is generated, according to the second time interval, the target stimulation information is generated, according to the third time interval, the blank information is generated, and the sum of the time intervals of the target stimulation information and the blank information is used as a stimulation cycle. Then, according to the fixation point information, the stimulation information sequence, and the stimulation cycle, a stimulation strategy is generated, wherein the stimulation information sequence includes multiple target stimulation information. Exemplarily, the first time interval can be set to 1000ms, the second time interval can be set to 500ms, and the third time interval can be set to 1500ms. The white fixation point information of 1000ms can be presented in the center of the screen, and the shape can be "+". After the fixation point information disappears, the target stimulation information of 500ms is presented, and a blank screen (i.e., blank information) of 1500ms is presented as a stimulation buffer interval, and then the next stimulation cycle is entered to present the next target stimulation information. The visual stimulation can be presented in the center of the screen, and the auditory stimulation can keep the screen blank when presenting. When the current stimulus appears, the preceding stimulus disappears immediately until all target stimulus information in the stimulus information sequence is presented to ensure the timing accuracy of stimulus presentation. Figure 2 As shown in Figure 2, the presentation process of auditory stimuli is as follows: Figure 3 As shown, both contain 2-back and 3-back mechanisms.

[0116] In some embodiments, in step S103, visual and auditory stimulation processing is performed according to the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score, which may include but is not limited to the following steps:

[0117] According to the stimulation strategy, current stimulation information is generated so that the subject compares the current stimulation information with the stimulation information of a preset number of comparison cycles before the stimulation cycle, and obtains a single reaction time and a comparison result;

[0118] Perform data cleaning on the single reaction time to obtain the single correct reaction time;

[0119] Calculate the average correct reaction time based on multiple single correct reaction times;

[0120] Calculate the accuracy rate based on multiple comparison results;

[0121] The comprehensive score was calculated based on the average correct reaction time and accuracy rate.

[0122] In some embodiments, the current stimulation information can be generated according to the stimulation strategy so that the subject can compare the stimulation information before the preset number of comparison cycles according to the current stimulation information to obtain a single reaction time and a comparison result. For example, after the current stimulation information is generated, the subject needs to judge whether the current stimulation information is the same as the stimulation information of the previous N stimulation cycles during the N+1 stimulation information presentation period (i.e., one stimulation cycle with a time interval of 2000ms). If the same, press the "F" key, otherwise press the "J" key to record the subject's judgment. The probability of the same and different stimulation information is 50%. The difficulty of the task is controlled by the N value (i.e., memory span). The larger the N value, the higher the requirement for the working memory updating ability. The subject's single reaction time (ms) and comparison result in each stimulation cycle can be recorded. If the subject fails to respond within the current stimulation cycle, it is recorded as a timeout and automatically enters the next stimulation cycle. Then, the single reaction time is cleaned to obtain the single correct reaction time. For example, the single reaction time can be cleaned to eliminate trials in which the subject responded incorrectly, trials in which the reaction time exceeded the mean ± 3 standard deviations under the same type and load conditions, and trials in which the subject did not respond, to ensure the reliability of the data. Then, based on multiple single correct reaction times, the average correct reaction time is calculated. The average correct reaction time is the average reaction time of the correct reaction trials after data cleaning. Based on multiple comparison results, the accuracy rate is calculated. The accuracy rate is the proportion of correct reaction trials to the total number of trials. Finally, the comprehensive score is calculated based on the average correct reaction time and the accuracy rate. Among them, the calculation formula for the comprehensive score is: Where Score is the overall score, ACC is the accuracy rate, and RT is the average correct reaction time. The overall score combines accuracy and reaction time information to more comprehensively reflect the subject's task performance.

[0123] In some embodiments, in step S104, the ADHD subtype differentiation process is performed based on the accuracy rate, average correct reaction time, and comprehensive score to obtain a subtype differentiation result, which may include but is not limited to steps S201 to S203:

[0124] Step S201: performing a first subtype analysis process based on a preset number of comparison cycles, target stimulus information, accuracy rate, and average correct response time to obtain a first subtype analysis result;

[0125] Step S202: performing a second subtype analysis process based on the preset number of comparison cycles, target stimulus information, average correct reaction time, and comprehensive score to obtain a second subtype analysis result;

[0126] Step S203: Generate a subtype differentiation result based on the first subtype analysis result and the second subtype analysis result.

[0127] In some embodiments, a first subtype analysis process can be performed based on a preset number of comparison cycles, target stimulus information, accuracy rate, and average correct reaction time to obtain a first subtype analysis result. A second subtype analysis process can then be performed based on the preset number of comparison cycles, target stimulus information, average correct reaction time, and comprehensive score to obtain a second subtype analysis result. A subtype differentiation result can then be generated based on the first and second subtype analysis results. For example, if the first subtype analysis result is ADHD-C and the second subtype analysis result is undifferentiated, ADHD-C can be used as the subtype differentiation result. If the first subtype analysis result is undifferentiated and the second subtype analysis result is ADHD-I, ADHD-I can be used as the subtype differentiation result. Furthermore, repeated measures, analysis of variance, independent sample t-tests, and correlation analyses can be performed on indicators such as accuracy rate, average correct reaction time, and comprehensive score to differentiate different ADHD subtypes based on behavioral data results.

[0128] In some embodiments, in step S201, performing a first subtype analysis process based on a preset number of comparison cycles, target stimulus information, accuracy rate, and average correct reaction time to obtain a first subtype analysis result may include but is not limited to the following steps:

[0129] If the preset number of comparison cycles is 3, the target stimulus information is auditory letter pronunciation information, and the accuracy is less than the preset accuracy threshold, then the first indicator judgment result is obtained as meeting the requirements;

[0130] If the preset number of comparison cycles is 2, the target stimulus information is auditory letter pronunciation information, and the average correct reaction time is greater than the first reaction time threshold, then the second indicator judgment result is obtained as meeting the requirements;

[0131] If the preset number of comparison cycles is 2, the target stimulus information is the visual block position information, and the average correct reaction time is greater than the second reaction time threshold, then the third indicator judgment result is obtained as meeting the requirements;

[0132] If the first indicator judgment results, the second indicator judgment results and the third indicator judgment results all meet the requirements, ADHD-C type will be used as the first subtype analysis result.

[0133] In some embodiments, an indicator judgment can be performed based on the preset number of comparison cycles, target stimulus information, accuracy and average correct reaction time. If the preset number of comparison cycles is 3, the target stimulus information is auditory letter pronunciation information and the accuracy is less than the preset accuracy threshold, the first indicator judgment result is obtained to be in compliance with the requirements. Exemplarily, the preset accuracy threshold can be set to 0.72. When the accuracy of the 3-back auditory letter pronunciation information test is ≤0.72, the first indicator judgment result can be obtained to be in compliance with the requirements. If the preset number of comparison cycles is 2, the target stimulus information is auditory letter pronunciation information and the average correct reaction time is greater than the first reaction time threshold, the second indicator judgment result is obtained to be in compliance with the requirements. Exemplarily, the first reaction time threshold can be set to 1000ms. When the average correct reaction time of the 2-back auditory letter pronunciation information test is ≥1000ms, the second indicator judgment result is obtained to be in compliance with the requirements. If the preset number of comparison cycles is 2, the target stimulus information is visual block position information and the average correct reaction time is greater than the second reaction time threshold, the third indicator judgment result is obtained to be in compliance with the requirements. For example, the second reaction time threshold can be set to 840ms. When the average correct reaction time on the 2-back visual block location information test is ≥840ms, the third indicator judgment result can be determined to meet the requirements. If the first, second, and third indicator judgment results all meet the requirements, ADHD-C type can be used as the first subtype analysis result.

[0134] In some embodiments, in step S202, performing a second subtype analysis process based on a preset number of comparison cycles, target stimulus information, average correct reaction time, and comprehensive score to obtain a second subtype analysis result may include but is not limited to the following steps:

[0135] If the preset number of comparison cycles is 2, the target stimulus information is auditory digital pronunciation information, and the average correct reaction time is greater than the third reaction time threshold, then the fourth indicator judgment result is obtained as meeting the requirements;

[0136] If the preset number of comparison cycles is 3, the target stimulus information is auditory letter pronunciation information, and the comprehensive score is less than the preset score threshold, then the fifth indicator judgment result is obtained as meeting the requirements;

[0137] If only one of the fourth indicator judgment result and the fifth indicator judgment result meets the requirements and both visual indicators meet the visual indicator requirements, ADHD-I type will be used as the second subtype analysis result.

[0138] In some embodiments, an indicator judgment can be performed based on the preset number of comparison cycles, target stimulus information, average correct reaction time and comprehensive score. If the preset number of comparison cycles is 2, the target stimulus information is auditory digital pronunciation information and the average correct reaction time is greater than the third reaction time threshold, then the fourth indicator judgment result is obtained to be in compliance with the requirements. Exemplarily, the third reaction time threshold can be set to 940ms, and when the average correct reaction time of the 2-back auditory digital pronunciation information test is ≥940ms, the fourth indicator judgment result can be obtained to be in compliance with the requirements. If the preset number of comparison cycles is 3, the target stimulus information is auditory letter pronunciation information and the comprehensive score is less than the preset score threshold, then the fifth indicator judgment result is obtained to be in compliance with the requirements. Exemplarily, the preset score threshold can be set to 0.75, and when the comprehensive score of the 3-back auditory letter pronunciation information test is ≤0.75, the fifth indicator judgment result can be obtained to be in compliance with the requirements. If only one of the fourth indicator judgment result and the fifth indicator judgment result meets the requirements and the visual indicators all meet the visual indicator requirements, ADHD-I type can be used as the second subtype analysis result. It can be understood that the visual indicator requirements include the following three items: the average correct reaction time of the 2-back visual block position information test is ≤820ms, the average correct reaction time of the 3-back visual block position information test is ≤830ms, and the comprehensive score of the 2-back visual letter pronunciation information test is ≥1.15.

[0139] In some embodiments, the method further comprises:

[0140] Conduct behavioral experiments;

[0141] Conducting behavioral experiments includes:

[0142] According to the ADHD Adult Self-Rating Scale and the Wender Utah Rating Scale, the subject information was collected;

[0143] After the subjects completed the stimulation test, the accuracy rate, average correct reaction time and comprehensive score corresponding to different subtypes were calculated based on the test results;

[0144] The accuracy rate, average correct reaction time and comprehensive score corresponding to different subtypes were compared and analyzed to obtain the experimental results.

[0145] In some embodiments, behavioral experiments can be conducted by first collecting subject information based on the ADHD Adult Self-Rating Scale and the Wender Utah Rating Scale. In this embodiment, individuals whose scale scores meet the standards are screened using the ADHD Adult Self-Rating Scale (ASRS) and the Wender Utah Rating Scale (WURS). All subjects must meet the following criteria: (1) age 18 to 24 years old; (2) right-handed; (3) no history of mental illness or neurological disease other than ADHD. Finally, a total of 98 valid data were collected, and the subject grouping is as follows: Figure 4 As shown, F is the F value in variance analysis, X 2 is the chi-square value in the chi-square test. The data of the subjects were analyzed for differences, and the results included: (1) Age: The average age of the control group was 21.22±2.31 years old, the ADHD-C group was 20.45±1.97 years old, and the ADHD-I group was 20.48±1.91 years old. The results of the independent sample t-test showed that there was no significant difference in age between the different subtypes of ADHD and the control group (type C: t (63) =1.437, p=0.156; Type I: t (63) =1.399, p=0.167). (2) Gender: There were 32 subjects in the control group (18 girls and 14 boys), 33 subjects in the ADHD-C group (24 girls and 9 boys), and 33 subjects in the ADHD-I group (22 girls and 11 boys). The chi-square test results showed that there was no statistical difference in gender distribution between the different subtypes of ADHD and the control group (type C: X 2 =1.979, p=0.165; Type I: X 2 =0.745, p=0.388). (3) Scale scores: One-way ANOVA was used to compare the ASRS total scores and ASRS subscale scores of the subjects in the three groups (control group, ADHD-C, and ADHD-I). The results showed that there were significant differences in the ASRS scale scores (df=63, p<0.001).

[0146] Then, after the subjects completed the stimulation test, the accuracy, average correct reaction time and comprehensive scores corresponding to the different subtypes were calculated according to the test results, and the accuracy, average correct reaction time and comprehensive scores corresponding to the different subtypes were compared and analyzed to obtain the experimental results. For example, 98 subjects completed an experiment of 8 modules, each of which contained 60 trials, with a total of 480 trials. The stimulus materials were presented randomly, with a total duration of about 16 minutes. Before the formal experiment, the subjects were required to complete the practice experiment and understand the experimental requirements. The experimenter confirmed that they had correctly understood the task requirements by observing the practice performance and asking the subjects before entering the formal experiment. During the experiment, the subjects' reaction time, accuracy and comprehensive scores were collected, and the differences were analyzed.

[0147] In the experimental results of accuracy, the accuracy comparison results are as follows Figure 5 As shown in the figure, the differences in accuracy among the three groups in different tasks did not reach statistical significance (p>0.05). Further post hoc analysis was conducted to compare the HC group (control group) with the ADHD-C group. The results showed that in the 3-back auditory letter task, the accuracy of the HC group was significantly higher than that of the ADHD-C group. In the experimental results of the average correct reaction time, the comparison results of the average correct reaction time are as follows Figure 6 As shown, in the 2-back and 3-back visual location tasks, the scores of the HC group (control group) were significantly higher than those of the ADHD-C group, while no significant differences were found between the HC group and the ADHD-I group, and there were no significant differences between the ADHD-C group and the ADHD-I group. In the 2-back auditory letter and auditory number tasks, the scores of the HC group were significantly higher than those of the ADHD-C group and the ADHD-I group. In the 3-back auditory number task, the scores of the HC group were significantly higher than those of the ADHD-C group. There were no significant differences between the ADHD-C group and the ADHD-I group. In the experimental results of the comprehensive score (Score), the comprehensive score comparison results are shown as follows: Figure 7 As shown in the histogram of the auditory experiment results, Figure 8 As shown, the histogram of the visual experiment results is as follows Figure 9 As shown, in the 2-back letter task, the HC group (control group) scored significantly higher than the ADHD-C group, while no significant difference was found between the HC group and the ADHD-I group, nor between the ADHD-C group and the ADHD-I group. Understandably, the three groups showed a trend of HC group > ADHD-I group > ADHD-C group, so it is normal that there was a significant difference between HC and ADHD-C, but no significance between the other two groups. In the 2-back and 3-back auditory letter tasks, as well as the 2-back auditory number task, the HC group's combined score was significantly higher than the ADHD-C group. In the 2-back auditory number task and the 3-back auditory letter task, the HC group also scored significantly higher than the ADHD-I group. However, there was no significant difference between the ADHD-C group and the ADHD-I group.

[0148] According to the results of this example, the behavioral characteristics of different subtypes of ADHD have significant differences, especially in their performance in visual and auditory tasks. By statistically analyzing the performance of different subtypes of subjects in the N-back task and combining the scores of the ASRS and WURS scales, the following specific classification criteria can be obtained: (1) If the subject meets the following three indicators at the same time, it is judged as ADHD-C type: a) the accuracy rate of the 3-back auditory letter pronunciation information test is ≤0.72; b) the average correct reaction time of the 2-back auditory letter pronunciation information test is ≥1000ms; c) the average correct reaction time of the 2-back visual square position information test is ≥840ms. (2) If only one auditory indicator is met and the visual indicator is normal, it is judged as ADHD-I type: a) the average correct reaction time of the 2-back auditory number pronunciation information test is ≥940ms; b) the comprehensive score of the 3-back auditory letter pronunciation information test is ≤0.75.

[0149] In some embodiments, compared with existing methods, the advantages of the embodiments of the present invention include:

[0150] (1) Technical advantages: Existing methods often rely on a single evaluation dimension when distinguishing ADHD subtypes, such as verbal memory, visual attention, visual impulse inhibition, etc., which makes it difficult to comprehensively evaluate the working memory characteristics of the subjects. The embodiment of the present invention combines visual and auditory stimulation to test the visual and auditory working memory of the subjects through different sensory channels, and more comprehensively explores the working memory impairment modules and degree of impairment of ADHD subjects from the working memory level, thereby distinguishing different subtypes of ADHD. The main technical advantage of the embodiment of the present invention is to improve the accuracy of ADHD-C and ADHD-I subtype classification through the use of auditory tasks (high sensitivity) as the main judge + visual tasks (eliminating false positives) as the auxiliary.

[0151] (2) Low cost and easy to operate: Existing methods such as neuroelectrophysiology and neuroimaging classification require expensive equipment and professional technicians, which limits their promotion in primary medical institutions. The behavioral experiment in the embodiment of the present invention only requires common equipment such as a computer, headphones, and keyboard, without the need for expensive scanning equipment. The operation process is simple, saving the experimenter's time. It is suitable for widespread use in homes, schools, and primary medical institutions, reducing costs and improving ease of operation.

[0152] (3) Strong objectivity: Existing clinical assessment standard classification methods and behavioral scale assessment methods rely on the evaluator's subjective judgment, which can easily lead to inconsistent assessment results. The embodiments of the present invention reduce the influence of subjective judgment by quantitatively analyzing behavioral experimental data, recording reaction time and accuracy, and calculating a comprehensive score, thereby improving objectivity and consistency and ensuring the reliability of the results.

[0153] (4) High application value: Existing methods often have difficulty accurately identifying the differences between visual and auditory tasks when differentiating ADHD subtypes. Most methods use "working memory" to encompass all abilities without distinguishing between vision and hearing. The embodiments of the present invention effectively distinguish between ADHD-C and ADHD-I by distinguishing between visual and auditory sensory channels, providing a scientific basis for the accurate differentiation of ADHD subtypes and having important application value.

[0154] The beneficial effects of implementing the embodiments of the present invention include: the embodiments of the present invention first set visual stimulation information and auditory stimulation information, then generate a stimulation strategy based on the visual stimulation information and the auditory stimulation information, and then perform visual and auditory stimulation processing based on the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score. Finally, based on the accuracy rate, average correct reaction time and comprehensive score, attention deficit hyperactivity disorder subtype differentiation processing is performed to obtain subtype differentiation results, so that different subtypes of attention deficit hyperactivity disorder can be differentiated through comprehensive evaluation of visual stimulation and auditory stimulation, thereby improving accuracy and efficiency.

[0155] like Figure 10 As shown, an embodiment of the present invention further provides a device for distinguishing different subtypes of attention deficit hyperactivity disorder, comprising:

[0156] The first module 801 is used to set visual stimulation information and auditory stimulation information, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information;

[0157] The second module 802 is used to generate a stimulation strategy based on the visual stimulation information and the auditory stimulation information;

[0158] The third module 803 is used to process visual and auditory stimulation according to the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score;

[0159] The fourth module 804 is used to perform attention deficit hyperactivity disorder subtype differentiation processing based on the accuracy rate, average correct reaction time and comprehensive score to obtain subtype differentiation results.

[0160] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0161] like Figure 11 As shown, an embodiment of the present invention further provides a computer device, including:

[0162] at least one processor 901;

[0163] At least one memory 902, configured to store at least one program;

[0164] When at least one program is executed by at least one processor, the at least one processor implements Figure 1 The method shown.

[0165] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0166] The embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, which is executed by a processor to implement Figure 1 The method shown.

[0167] The contents of the above method embodiments are all applicable to the present storage medium embodiment. The functions specifically implemented by the present storage medium embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0168] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention should be within the scope of the present invention.

Claims

1. A method for distinguishing different subtypes of attention deficit hyperactivity disorder, characterized in that: The following steps are involved: Setting visual stimulation information and auditory stimulation information, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information; generating a stimulation strategy according to the visual stimulation information and the auditory stimulation information; According to the stimulation strategy, visual and auditory stimulation processing was performed to obtain the accuracy rate, average correct reaction time and comprehensive score; Attention deficit hyperactivity disorder subtype differentiation processing is performed based on the accuracy rate, the average correct reaction time and the comprehensive score to obtain a subtype differentiation result.

2. The method according to claim 1, characterized in that The setting of visual stimulation information and auditory stimulation information includes: Get the letters of the preset material quantity and the numbers of the preset material quantity; Generating visual letter information corresponding to each letter according to the number of letters of the preset material; Generating auditory letter pronunciation information corresponding to each letter according to the number of letters of the preset material; Generating auditory digital pronunciation information corresponding to each number according to the number of the preset materials; According to the number of grids with preset materials in the nine-square grid, the visual block position information corresponding to each grid is generated.

3. The method according to claim 1, characterized in that Generating a stimulation strategy according to the visual stimulation information and the auditory stimulation information includes: selecting one of the visual stimulation information and the auditory stimulation information as target stimulation information; generating gaze point information according to the first time interval; generating the target stimulation information according to a second time interval after the first time interval; After the second time interval, generating blank information according to a third time interval; The sum of the time intervals between the target stimulation information and the blank information is taken as a stimulation cycle; The stimulation strategy is generated according to the fixation point information, the stimulation information sequence and the stimulation cycle, wherein the stimulation information sequence includes a plurality of target stimulation information.

4. The method according to claim 3, characterized in that The visual and auditory stimulation processing is performed according to the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score, including: generating current stimulation information according to the stimulation strategy, so that the subject compares the current stimulation information with the stimulation information of a preset number of comparison cycles before the stimulation cycle, and obtains a single reaction time and a comparison result; performing data cleaning on the single reaction time to obtain a single correct reaction time; Calculating the average correct reaction time based on the multiple single correct reaction times; Calculating the accuracy rate based on the multiple comparison results; The comprehensive score is calculated based on the average correct reaction time and the accuracy rate.

5. The method according to claim 4, characterized in that The attention deficit hyperactivity disorder subtype differentiation process is performed based on the accuracy rate, the average correct reaction time and the comprehensive score to obtain a subtype differentiation result, including: Performing a first subtype analysis process according to the preset number of comparison cycles, the target stimulus information, the accuracy rate, and the average correct reaction time to obtain a first subtype analysis result; performing a second subtype analysis process according to the preset number of comparison cycles, the target stimulus information, the average correct reaction time, and the comprehensive score to obtain a second subtype analysis result; The subtype differentiation result is generated according to the first subtype analysis result and the second subtype analysis result.

6. The method according to claim 5, characterized in that The performing of a first subtype analysis process based on the preset number of comparison cycles, the target stimulus information, the accuracy rate, and the average correct reaction time to obtain a first subtype analysis result includes: If the preset number of comparison cycles is 3, the target stimulus information is the auditory letter pronunciation information, and the accuracy is less than the preset accuracy threshold, then the first indicator judgment result is obtained as meeting the requirements; If the preset number of comparison cycles is 2, the target stimulus information is the auditory letter pronunciation information, and the average correct reaction time is greater than the first reaction time threshold, then the second indicator judgment result is obtained as meeting the requirements; If the preset number of comparison cycles is 2, the target stimulus information is the visual block position information, and the average correct reaction time is greater than the second reaction time threshold, then the third indicator judgment result is obtained as meeting the requirements; If the first indicator judgment result, the second indicator judgment result and the third indicator judgment result all meet the requirements, ADHD-C type will be used as the first subtype analysis result.

7. The method according to claim 5, characterized in that The second subtype analysis is performed based on the preset number of comparison cycles, the target stimulus information, the average correct reaction time, and the comprehensive score to obtain a second subtype analysis result, including: If the preset number of comparison cycles is 2, the target stimulus information is the auditory digital pronunciation information, and the average correct reaction time is greater than the third reaction time threshold, then the fourth indicator judgment result is obtained as meeting the requirements; If the preset number of comparison cycles is 3, the target stimulus information is the auditory letter pronunciation information, and the comprehensive score is less than the preset score threshold, then the fifth indicator judgment result is obtained as meeting the requirements; If only one of the fourth indicator judgment result and the fifth indicator judgment result meets the requirements and both visual indicators meet the visual indicator requirements, ADHD-I type will be used as the second subtype analysis result.

8. The method according to claim 1, characterized in that The method further comprises: Conduct behavioral experiments; The behavioral experiment includes: According to the ADHD Adult Self-Rating Scale and the Wender Utah Rating Scale, the subject information was collected; After the subjects completed the stimulation test, the accuracy rate, average correct reaction time and comprehensive score corresponding to different subtypes were calculated based on the test results; The accuracy rates, average correct reaction times and comprehensive scores corresponding to the different subtypes were compared and analyzed to obtain experimental results.

9. A device for distinguishing different subtypes of attention deficit hyperactivity disorder, characterized in that: include: The first module is used to set visual stimulation information and auditory stimulation information, wherein the visual stimulation information includes visual letter information and visual block position information, and the auditory stimulation information includes auditory letter pronunciation information and auditory number pronunciation information; A second module is configured to generate a stimulation strategy based on the visual stimulation information and the auditory stimulation information; The third module is used to process visual and auditory stimulation according to the stimulation strategy to obtain the accuracy rate, average correct reaction time and comprehensive score; The fourth module is used to perform attention deficit hyperactivity disorder subtype differentiation processing based on the accuracy rate, the average correct reaction time and the comprehensive score to obtain a subtype differentiation result.

10. A computer device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 8.

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