ADHD child cognition evaluation method and system based on computer

Abstract

The invention discloses an ADHD child cognition evaluation method and system based on a computer. The method comprises the following steps: acquiring personal information of an ADHD child; a preset cognitive evaluation scheme is pushed to the ADHD child, the ADHD child cognitive evaluation scheme comprises a plurality of preset cognitive evaluation tasks, each cognitive evaluation task corresponds to one secondary brain ability, and each cognitive evaluation task comprises a teaching guide stage, a simulation evaluation stage and a formal evaluation stage; obtaining behavior response data of each cognitive evaluation task, and calculating an evaluation score and a norm percentage of each cognitive evaluation task through a preset model; and respectively acquiring an evaluation result and a norm distribution result of each secondary brain ability to output a cognitive evaluation report. According to the method, the cognitive evaluation of the ADHD children is realized through the computerized cognitive evaluation task, so that the labor cost and the time cost are saved, and the current cognitive level of the ADHD children is comprehensively reflected.

Description

Technical Field

[0001] The present invention relates to a computer-based cognitive assessment method for children with ADHD, and also relates to a corresponding cognitive assessment system for children with ADHD, belonging to the technical field of cognitive assessment. Background Art

[0002] Basic cognitive abilities are the various basic factors that constitute a person's cognitive ability and are the basis for the advanced intelligent activities of the human brain. Specifically, they include aspects such as processing speed, working memory, episodic memory, spatial cognition, and language ability. Basic cognitive abilities have an important impact on an individual's academic performance, work achievements, quality of life, etc.

[0003] Attention Deficit Hyperactivity Disorder (abbreviated as ADHD) is a common neurodevelopmental disorder, and its prevalence rate in childhood is about 5%. Inattention, impulsivity, and hyperactivity that are disproportionate to age are the three core symptoms of this disease. Cognitive function deficits are an important feature of ADHD, and the cognitive function deficits of ADHD patients mainly exist in aspects such as attention and executive function. ADHD can be divided into three subtypes: type I with inattention as the main clinical symptom, type H with hyperactivity and impulsivity as the main clinical symptom, and type C with a mixture of the two symptoms. The cognitive function deficits and treatment plans of different subtypes are different. Precise assessment of the cognitive level of ADHD children is a key pre-step for typing and targeted treatment.

[0004] Children are in the stage of growth and development. Their cognitive ability development level is limited, the individual differences in development level are large, and the development state fluctuates greatly. All these factors make it difficult to assess children's cognition. At present, the commonly used tool for assessing the intelligence and cognition of children with ADHD in China is the paper scale test of the Wechsler Intelligence Scale for Children, and the assessment takes a long time.

[0005] In the Chinese invention application with the publication number CN115458112A, a cognitive ability assessment method and system are disclosed. Specifically, it discloses receiving the personal information of an operator, determining the assessment dimension matching the operator based on the personal information of the operator; obtaining the sub-dimension assessment mode under the assessment dimension matching the personal information selected by the operator, and determining the assessment task based on the sub-dimension assessment mode selected by the operator; testing the operator in a specific environment based on the determined assessment task, obtaining the test results and brain signal data of the operator for the assessment task in the specific environment; and generating a test report based on the test results and brain signal data of the operator. However, the above-mentioned cognitive ability assessment method focuses on the system to realize the matching of the tested person and the assessment module, emphasizes the application of brain signal data, and cannot realize the cognitive assessment of children with ADHD. Summary of the Invention

[0006] The primary technical problem to be solved by the present invention is to provide a computer-based cognitive assessment method for children with ADHD.

[0007] Another technical problem to be solved by the present invention is to provide a computer-based cognitive assessment system for children with ADHD.

[0008] To achieve the above technical objectives, the present invention adopts the following technical solutions:

[0009] According to the first aspect of the embodiments of the present invention, there is provided a computer-based cognitive assessment method for children with ADHD, including the following steps:

[0010] Obtain the personal information of children with ADHD;

[0011] Push a preset cognitive assessment plan to the children with ADHD, where the cognitive assessment plan includes a plurality of preset cognitive assessment tasks, each of the cognitive assessment tasks corresponds to a secondary brain ability related to ADHD, and each of the cognitive assessment tasks includes a teaching guide stage, a simulation assessment stage, and a formal assessment stage in sequence;

[0012] Obtain the behavioral response data of the children with ADHD for completing each cognitive assessment task, where the behavioral response data at least includes: answer results, actual key presses, and response duration;

[0013] Based on the behavioral response data of the children with ADHD for completing each cognitive assessment task, calculate the assessment score and the norm percentile rank of each cognitive assessment task respectively through a preset model; where the higher the assessment score of the cognitive assessment task, the higher the level of the corresponding secondary brain ability, and the higher the norm percentile rank of the cognitive assessment task, the higher the distribution rank of the corresponding secondary brain ability in the normal population;

[0014] Based on the assessment scores and norm percentile ranks of each cognitive assessment task of the children with ADHD, output the assessment results and norm distribution results of each secondary brain ability of the children with ADHD respectively, and then output the cognitive assessment report of the children with ADHD.

[0015] Preferably, in the teaching guide stage, help children with ADHD intuitively understand the rules by combining pictures and texts;

[0016] In the simulation assessment stage, through special settings of the difficulty, form, and quantity of the simulation assessment questions, help children with ADHD get started quickly, and through appropriate practice and feedback, truly understand the meaning of the questions and be familiar with the task operations;

[0017] In the formal evaluation stage, the interface size, button position, button size, and button sensitivity of the formal evaluation are specially set to conform to the evaluation experience of children with ADHD.

[0018] Preferably, the cognitive evaluation scheme consists of seven cognitive evaluation tasks, and the seven cognitive evaluation tasks include: continuous performance task, cancellation test task, visual search task, attention control task, random dot task, Simon-Flanker task, and digit comparison task;

[0019] Among them, the secondary brain ability corresponding to the continuous performance task is sustained attention, the secondary brain ability corresponding to the cancellation test task is focused attention, the secondary brain ability corresponding to the visual search task is selective attention, the secondary brain ability corresponding to the attention control task is attention control, the secondary brain ability corresponding to the random dot task is motion perception, the secondary brain ability corresponding to the Simon-Flanker task is interference control, and the secondary brain ability corresponding to the digit comparison task is conflict inhibition.

[0020] Preferably, each of the cognitive evaluation tasks has specific indicators for calculating the evaluation score. Among them, the specific indicators are determined based on the behavioral response data of the cognitive evaluation task, and the specific indicators include at least one of the answer result, actual button press, and response duration.

[0021] Preferably, the evaluation score of the cognitive evaluation task is calculated as follows:

[0022] Based on the specific indicators of the cognitive evaluation task, obtain the raw score of the cognitive evaluation task;

[0023] Based on a preset model, perform norm transformation on the raw score of the cognitive evaluation task to obtain the norm-transformed score Z of the cognitive evaluation task;

[0024] Calculate the evaluation score S of the cognitive evaluation task, S = 100 + 15Z.

[0025] Preferably, the cognitive evaluation report includes:

[0026] Header information, which at least includes the name of the measuring hospital, the name of the evaluation report, the personal information of the patient, the evaluation time, and the name of the disease;

[0027] The evaluation results of secondary brain abilities, which show the evaluation scores and norm percentile ranks corresponding to the core secondary brain abilities of each evaluation task in tabular form;

[0028] The distribution of secondary brain ability evaluations, which intuitively shows the levels of various secondary brain abilities in the form of a bubble chart;

[0029] Result summary: Based on the secondary brain ability assessment results and the secondary brain ability assessment distribution of the ADHD children, the development of the cognitive ability of the ADHD children is outlined.

[0030] Preferably, the ADHD children's cognitive assessment method further includes:

[0031] Obtaining the secondary brain abilities that the ADHD children have reached based on the cognitive assessment reports of the ADHD children;

[0032] Deleting the cognitive assessment tasks corresponding to the secondary brain abilities that have been reached from the preset cognitive assessment plan to form a personalized cognitive assessment plan;

[0033] Pushing the personalized cognitive assessment plan to the ADHD children for cognitive assessment again.

[0034] According to the second aspect of the embodiments of the present invention, a computer-based ADHD children's cognitive assessment system is provided, including:

[0035] An information input unit for inputting the personal information of ADHD children;

[0036] A measurement task unit, connected to the information input unit and preset with a cognitive assessment plan for pushing the cognitive assessment plan to the ADHD children for cognitive assessment; wherein, the cognitive assessment plan includes a plurality of preset cognitive assessment tasks, each of the cognitive assessment tasks corresponds to a secondary brain ability related to ADHD, and each of the cognitive assessment tasks includes a teaching guide stage, a simulation assessment stage, and a formal assessment stage in sequence;

[0037] A data collection unit, connected to the measurement task unit, for collecting the behavioral response data of the ADHD children during cognitive assessment; wherein, the behavioral response data at least includes: answer results, actual key presses, and response durations;

[0038] A calculation unit, connected to the data collection unit and built-in with a preset model, for calculating the assessment scores and norm percentile ranks of each of the cognitive assessment tasks based on the behavioral response data of the ADHD children completing each cognitive assessment task through the preset model;

[0039] An output unit, connected to the calculation unit, for respectively outputting the assessment results and norm distribution results of each secondary brain ability of the ADHD children based on the assessment scores and norm percentile ranks of each cognitive assessment task of the ADHD children, and further outputting the cognitive assessment report of the ADHD children.

[0040] Preferably, the ADHD children's cognitive assessment system further includes:

[0041] A query unit, connected to the output unit, for storing and querying the cognitive assessment reports of ADHD children.

[0042] According to the third aspect of the embodiments of the present invention, a computer-based ADHD children's cognitive assessment system is provided, including a processor and a memory. The processor reads the computer program in the memory and is used to execute the above-mentioned ADHD children's cognitive assessment method.

[0043] Compared with the prior art, the present invention has the following technical effects:

[0044] 1. The cognitive assessment of ADHD children is realized through computer-programmed cognitive assessment tasks. While restoring the core of the rigorous laboratory paradigm, the assessment process is streamlined, and the measurement indicators are obtained through program buried-point data collection and established rule operations, saving labor costs and time costs.

[0045] 2. The cognitive assessment report can comprehensively reflect the cognitive ability levels of ADHD children and their distribution in the population as much as possible, thus more intuitively showing the current cognitive state of ADHD children.

[0046] 3. Each cognitive assessment task adopts a special mode of three stages: teaching guide, simulation assessment, and formal assessment, so as to start from the perspective of ADHD children in the overall assessment process, interaction, and interface design, which is conducive to ADHD children's understanding and operation, and improves the compliance and convenience of ADHD children's cognitive assessment. Description of the Drawings

[0047] Figure 1 It is the overall flowchart of a computer-based ADHD children's cognitive assessment method provided by the first embodiment of the present invention;

[0048] Figure 2 It is the detailed flowchart of a computer-based ADHD children's cognitive assessment method provided by the first embodiment of the present invention;

[0049] Figure 3 It is the overall flowchart of a computer-based ADHD children's cognitive assessment method provided by the second embodiment of the present invention;

[0050] Figure 4 It is the structural diagram of a computer-based ADHD children's cognitive assessment system provided by the third embodiment of the present invention;

[0051] Figure 5 It is the structural diagram of a computer-based ADHD children's cognitive assessment system provided by the fourth embodiment of the present invention. Specific Embodiments

[0052] The technical content of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0053] Embodiments of the present invention aim to provide a computer-based cognitive assessment method and system for ADHD children. By presetting a variety of cognitive assessment tasks, which respectively correspond to multiple secondary brain abilities related to ADHD, the key secondary brain abilities of ADHD children are cognitively assessed through computerized cognitive assessment tasks, filling the gap in the electronic cognitive ability assessment of ADHD children. The assessment tasks and interaction methods are designed according to the cognitive characteristics of the ADHD children group, which are easy for the ADHD children group to understand and operate.

[0054] In various embodiments of the present invention, each cognitive assessment task is designed around the scientific and rigorous "Basic Cognitive Ability Test" system, and is specifically and deeply designed for the common attention and executive function cognitive deficiencies of ADHD children. Based on the classic psychological paradigm, it has normativity, comprehensiveness and scientificity. Moreover, the multi-dimensional cognitive ability assessment is realized programmatically, and the entire assessment process is completed through a computer program, saving manpower and time costs while ensuring the scientific rigor and comprehensiveness of the assessment.

[0055] First Embodiment

[0056] As Figure 1 and Figure 2 shown, a computer-based cognitive assessment method for ADHD children provided by the first embodiment of the present invention specifically includes steps S1 to S7:

[0057] S1: Obtain the personal information of ADHD children.

[0058] Specifically, in this embodiment, the personal information of ADHD children specifically includes: specific contents such as name, gender, age, disease type, etc. Thus, a corresponding user profile can be established based on the personal information of the ADHD children, facilitating subsequent corresponding cognitive assessments and data storage.

[0059] S2: Push a preset cognitive assessment plan to ADHD children.

[0060] In this embodiment, the ADHD children's cognitive assessment plan includes multiple preset cognitive assessment tasks. Each cognitive assessment task corresponds to a secondary brain ability related to ADHD, and each cognitive assessment task includes a teaching guide stage, a simulation assessment stage, and a formal assessment stage in sequence. Among them, in the teaching guide stage, a combination of pictures and texts is used to help ADHD children intuitively understand the rules. In the simulation assessment stage, the difficulty, form, and quantity of the simulation assessment questions are specially set to help ADHD children quickly get started, and through appropriate practice and feedback, they can truly understand the meaning of the questions and be familiar with the task operations. In the formal assessment stage, the interface size, button position, button size, and button sensitivity of the formal assessment are specially set to meet the assessment experience of ADHD children.

[0061] Specifically, the ADHD children's cognitive assessment plan consists of seven cognitive assessment tasks, namely: continuous performance task, cancellation test task, visual search task, attention control task, random dot task, Simon-Flanker task, and number comparison task. And, as shown in the following table, the corresponding relationships between the cognitive assessment tasks and the secondary brain abilities are as follows:

[0062]

[0063] Based on the above corresponding relationships, it can be seen that when using the ADHD children's cognitive assessment plan to conduct task-based cognitive assessments on ADHD children, different secondary brain abilities can be assessed through different cognitive assessment tasks, so as to comprehensively understand the current cognitive state of ADHD children.

[0064] In addition, it can be understood that, without loss of generality, it is default to push the complete cognitive assessment plan (i.e., seven cognitive assessment tasks) to ADHD children. However, if there are special reasons for ADHD children, the cognitive assessment plan can be adjusted adaptively as needed, for example: adding or reducing some cognitive assessment tasks, replacing a certain cognitive assessment task, etc.

[0065] S3: Obtain the behavioral response data of ADHD children for completing each cognitive assessment task.

[0066] Specifically, in this embodiment, when using the above seven cognitive assessment tasks to conduct cognitive assessments on ADHD children, the answer results (correct, wrong, invalid, timeout), actual buttons (up / down / left / right), and response duration (timed in seconds) of ADHD children for completing each cognitive assessment task are respectively obtained for subsequent score calculation.

[0067] It should be understood that in this embodiment, the behavioral response data of each cognitive assessment task includes the answer result, the actual key presses, and the response duration. However, each cognitive assessment task has specific indicators for calculating the assessment score. Among them, the specific indicators are determined based on the behavioral response data of the cognitive assessment task, and the specific indicators include at least one of the answer result, the actual key presses, and the response duration. The specific indicators vary depending on the cognitive assessment task. For example, the specific indicator of the cancellation test task is the number of correct cancellations, while the specific indicators of the Simon-Flanker task are the response duration and the correct rate.

[0068] S4: Calculate the assessment scores and the norm percentile ranks of each cognitive assessment task through a preset model respectively.

[0069] In this embodiment, after obtaining the behavioral response data of ADHD children for each cognitive assessment task based on step S3, the assessment scores and the norm percentile ranks of each cognitive assessment task can be calculated through a preset model respectively. Among them, the higher the assessment score of the cognitive assessment task, the higher the level of the corresponding secondary brain ability. The higher the norm percentile rank of the cognitive assessment task, the higher the distribution rank of the corresponding secondary brain ability among the normal population.

[0070] Specifically, it includes steps S41 to S42:

[0071] S41: Calculate the assessment scores of each cognitive assessment task.

[0072] S411: Based on the specific indicators of each cognitive assessment task, obtain the raw scores of each cognitive assessment task. It can be understood that the raw score is the score directly obtained based on the data of the task assessment.

[0073] S412: Perform norm transformation on the raw scores of each cognitive assessment task based on the preset model to obtain the norm-transformed scores Z of each cognitive assessment task. It can be understood that the norm-transformed score Z is to uniformly perform norm transformation on the scores directly obtained for each cognitive assessment task through a preset norm transformation model to form a unified norm-transformed score Z. Among them, the norm-transformed score Z is a positive integer, and the higher the score, the higher the level of the corresponding cognitive ability.

[0074] S413: Calculate the assessment scores S of each cognitive assessment task, S = 100 + 15Z.

[0075] S42: Calculate the norm percentile ranks of each cognitive assessment task.

[0076] S421: Obtain the norm scores S0 of each cognitive assessment task respectively;

[0077] S422: Calculate the norm percentile rank L for each cognitive assessment task based on the norm scores S0 of each cognitive assessment task respectively, where L = S / S0 * 100.

[0078] Among them, the value of the norm percentile rank is a positive integer greater than or equal to 0 and less than or equal to 100. The larger the value, the higher the level of the subject's ability in this item among the population and the stronger the ability. Each assessment score S corresponds to a norm percentile rank L.

[0079] S5: Output the cognitive assessment report of ADHD children.

[0080] After obtaining the assessment scores and norm percentile ranks of each cognitive assessment task of ADHD children based on step S4, output the assessment results and norm distribution results of each secondary brain ability of ADHD children respectively, and then output the cognitive assessment report of ADHD children.

[0081] In this embodiment, the cognitive assessment report of ADHD children consists of four parts, specifically as follows:

[0082] ① Header information, which includes at least the name of the testing hospital, the name of the assessment report, the personal information of the patient, the assessment time, and the name of the disease.

[0083] ② Secondary brain ability assessment results, showing the assessment scores and norm percentile ranks corresponding to the core secondary brain abilities of each assessment task in tabular form.

[0084] ③ Secondary brain ability assessment distribution, visually showing the levels of each secondary brain ability in the form of a bubble chart.

[0085] ④ Result summary, based on the secondary brain ability assessment results and secondary brain ability assessment distribution of ADHD children, summarize the development of the cognitive abilities of ADHD children (that is, use 1 - 2 paragraphs of text to describe the development of children's cognitive abilities).

[0086] Second Embodiment

[0087] As Figure 3 shown, on the basis of the above first embodiment, the second embodiment of the present invention also provides a computer-based cognitive assessment method for ADHD children. Compared with the first embodiment, the difference in this embodiment is that it further includes a loop assessment step to achieve personalized cognitive assessment of ADHD children. In this embodiment, in addition to the above steps S1 - S5, it further includes:

[0088] S6: Personalized cognitive assessment.

[0089] Specifically, it includes steps S61 - S63:

[0090] S61: Obtain the second-level brain abilities that the ADHD children have reached based on the cognitive assessment report in step S5; if there are no second-level brain abilities that have reached the standard, do not obtain them.

[0091] S62: Delete the cognitive assessment tasks corresponding to the second-level brain abilities that have reached the standard from the preset cognitive assessment plan to form a personalized cognitive assessment plan. Among them, if no second-level brain abilities that have reached the standard are obtained in step S61, the original cognitive assessment plan remains unchanged.

[0092] S63: Push the personalized cognitive assessment plan to the ADHD children for cognitive assessment again.

[0093] Among them, the steps of the re-cognitive assessment are the same as steps S3 - S5, but the personalized cognitive assessment plan will vary to some extent based on the differences among the ADHD children, which will not be elaborated here.

[0094] It can be understood that when the ADHD children understand their own cognitive deficiencies through steps S1 - S5, targeted cognitive interventions can be carried out to improve the various second-level brain abilities of the ADHD children. When the ADHD children have improved cognitively, some of the second-level brain abilities have reached the normal level. At this time, when the cognitive assessment is carried out again through steps S1 - S5, it can be seen which second-level brain abilities of the ADHD children have reached the standard. At this time, through the corresponding relationship between the various second-level brain abilities and the various cognitive assessment tasks, the cognitive assessment tasks corresponding to the second-level brain abilities that have reached the standard can be deleted, so that the cognitive assessment can be adjusted specifically with the phased cognitive improvement of the ADHD children, improving the convenience and effectiveness of the cognitive assessment.

[0095] The Third Embodiment

[0096] As Figure 4 shown, a computer-based ADHD children's cognitive assessment system provided by the third embodiment of the present invention includes an information input unit 1, an assessment task unit 2, a data collection unit 3, a calculation unit 4, an output unit 5, and a query unit 6.

[0097] Specifically, the information input unit 1 is used for a trainer (doctor) to establish an account. After the trainer (doctor) creates an account, the trainer (doctor) can perform patient assessment, query, and management by logging in to the account. The trainer (doctor) can also establish a patient ID and create a dedicated ID for the ADHD children by inputting the personal information of the ADHD children (including patient name, gender, age, disease type, etc.) for subsequent push of the cognitive assessment plan and query of the cognitive assessment results.

[0098] The assessment task unit 2 is connected to the information input unit 1 and is preset with a cognitive assessment plan for pushing the cognitive assessment plan to ADHD children for cognitive assessment. It can be understood that the assessment task unit 2 is preset with the seven cognitive assessment tasks in the above first embodiment, corresponding to 7 secondary brain abilities. Moreover, each cognitive assessment task includes a teaching guide stage, a simulated assessment stage, and a formal assessment stage in sequence, which are specially designed for ADHD children to be more suitable for children to use.

[0099] The data collection unit 3 is connected to the assessment task unit 2 for collecting the behavioral response data of ADHD children during cognitive assessment. Among them, the behavioral response data at least includes: answer results, actual key presses, and response durations, etc.

[0100] The calculation unit 4 is connected to the data collection unit 3 and is built-in with a preset model to calculate the assessment scores and norm percentile ranks of each cognitive assessment task for ADHD children based on the behavioral response data of each cognitive assessment task completed by ADHD children through the preset model.

[0101] The output unit 5 is connected to the calculation unit 4 to output the assessment results and norm distribution results of each secondary brain ability of ADHD children respectively based on the assessment scores and norm percentile ranks of each cognitive assessment task of ADHD children, and then output the cognitive assessment report of ADHD children.

[0102] The query unit 6 is connected to the output unit 5 for storing and querying the cognitive assessment reports of ADHD children. It can be understood that every time an ADHD child completes a cognitive assessment, the query unit 6 will store a cognitive assessment report once. Guardians (such as parents) can understand the cognitive improvement situation of ADHD children by querying the multiple cognitive assessment reports of ADHD children, and then provide directions for subsequent cognitive intervention.

[0103] Fourth Embodiment

[0104] As Figure 5 shown, based on the above computer-based ADHD children cognitive assessment method, the present invention further provides a computer-based ADHD children cognitive assessment system. The ADHD children cognitive assessment system includes one or more processors 21 and a memory 22. Among them, the memory 22 is coupled to the processor 21 for storing one or more programs. When the one or more programs are executed by the one or more processors 21, the one or more processors 21 implement the computer-based ADHD children cognitive assessment method in the above embodiment.

[0105] Among them, the processor 21 is used to control the overall operation of the ADHD child cognitive assessment system to complete all or part of the steps of the above-mentioned computer-based ADHD child cognitive assessment method. The processor 21 can be a central processing unit (CPU), a graphics processing unit (GPU), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a digital signal processing (DSP) chip, etc. The memory 22 is used to store various types of data to support the operation of the ADHD child cognitive assessment system. These data can include, for example, instructions for any application or method operating on the ADHD child cognitive assessment system, as well as application-related data. The memory 22 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, etc.

[0106] In an exemplary embodiment, the ADHD child cognitive assessment system can be specifically implemented by a computer chip or an entity, or by a product with certain functions, for performing the above-mentioned computer-based ADHD child cognitive assessment method and achieving the same technical effects as the above method. A typical embodiment is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, an in-vehicle human-machine interaction device, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0107] In another exemplary embodiment, the present invention also provides a computer-readable storage medium including program instructions, which when executed by a processor, implement the steps of the computer-based ADHD child cognitive assessment method in any of the above embodiments. For example, the computer-readable storage medium can be the above-mentioned memory including program instructions, and the above program instructions can be executed by the processor of the cognitive assessment system to complete the above-mentioned computer-based ADHD child cognitive assessment method and achieve the same technical effects as the above method.

[0108] In summary, the computer-based ADHD child cognitive assessment method and system provided by the embodiments of the present invention have the following beneficial effects:

[0109] (1) Computer-programmed task-based assessment: Use assessment tasks based on classic experimental psychology paradigms to measure specific cognitive abilities, and computer-program design the laboratory measurement processes, measurement indicators, and psychological processes of the paradigms. While restoring the rigorous kernel of the laboratory paradigm, streamline the assessment process. The measurement indicators are obtained through program buried-point data collection and established rule operations, saving labor costs and time costs.

[0110] (2) Comprehensiveness of the cognitive assessment report: The cognitive assessment report reflects as comprehensively as possible the levels of various cognitive abilities of the user and their distribution in the population. The cognitive ability level of the subject is reflected by the assessment scores of various assessment tasks. The assessment scores are calculated and converted from the standard scores of various assessment results and are positive integers. The higher the score, the higher the level of this cognitive ability; the distribution of the subject's cognitive ability in the population is reflected by the norm percentile rank. The norm percentile rank takes positive integers greater than or equal to 0 and less than or equal to 100. The larger the value, the higher the level of the subject's ability in the population and the stronger the ability. One assessment score corresponds to one norm percentile rank.

[0111] (3) Assessment process, interaction, and interface design: Each of the assessment tasks in this system adopts a three-stage model of teaching guide, simulation assessment, and formal assessment. The teaching guide unit combines pictures and texts to help child users intuitively understand the rules; the simulation assessment unit has specific designs for the difficulty, form, and quantity of the assessment questions, making it easy for children to get started quickly. Through appropriate practice and feedback, they can truly understand the meaning of the questions and be familiar with the task operations; the size of the assessment interface, the position and size of the buttons, and the touch feedback design of the buttons also fully consider the interaction experience of child users, adapting to the child's line of sight and hand-eye coordination ability and avoiding accidental touches. Thus, the overall assessment process, interaction, and interface design of this assessment system start from the user's perspective and are conducive to the understanding and operation of ADHD children.

[0112] It should be noted that the above-mentioned multiple embodiments are only examples, and the technical solutions of each embodiment can be combined, all within the protection scope of the present invention.

[0113] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality of" means two or more, unless otherwise specifically defined.

[0114] The above has provided a detailed description of the computer-based ADHD children's cognitive assessment method and system of the present invention. For those of ordinary skill in the art, any obvious changes made to it without departing from the substantial content of the present invention will constitute an infringement of the patent right of the present invention and will bear corresponding legal responsibilities.

Claims

1. A computer-based cognitive assessment method for children with ADHD, characterized in that Including: Obtaining personal information of ADHD children; Pushing a preset cognitive assessment plan to the ADHD children, wherein the cognitive assessment plan includes a plurality of preset cognitive assessment tasks, each of the cognitive assessment tasks corresponds to a secondary brain ability related to ADHD, and each of the cognitive assessment tasks includes a teaching guide stage, a simulated assessment stage, and a formal assessment stage in sequence; Obtaining the behavioral response data of the ADHD children for completing each cognitive assessment task, wherein the behavioral response data at least includes: answer results, actual key presses, and response duration; Based on the behavioral response data of the ADHD children for completing each cognitive assessment task, respectively calculating the assessment score and the norm percentile rank of each of the cognitive assessment tasks through a preset model; wherein, the higher the assessment score of the cognitive assessment task, the higher the level of the corresponding secondary brain ability, and the higher the norm percentile rank of the cognitive assessment task, the higher the distribution rank of the corresponding secondary brain ability in the normal population; Based on the assessment scores and norm percentile ranks of each cognitive assessment task of the ADHD children, respectively outputting the assessment results and norm distribution results of each secondary brain ability of the ADHD children, and further outputting the cognitive assessment report of the ADHD children.

2. The ADHD children cognitive assessment method according to claim 1, wherein: In the teaching guide stage, helping ADHD children intuitively understand the rules in a way of combining pictures and texts; In the simulated assessment stage, through special settings of the difficulty, form, and quantity of the simulated assessment questions, to help ADHD children get started quickly, and through appropriate practice and feedback, truly understand the question meaning and be familiar with the task operation; In the formal assessment stage, through special settings of the interface size, key position, key size, and key sensitivity of the formal assessment, to conform to the assessment experience of ADHD children.

3. The ADHD children cognitive assessment method according to claim 1, wherein: The cognitive assessment plan consists of seven cognitive assessment tasks, including: continuous performance task, cancellation test task, visual search task, attention control task, random dot task, Simon-Flanker task, and number comparison task; Wherein, the secondary brain ability corresponding to the continuous performance task is sustained attention, the secondary brain ability corresponding to the cancellation test task is focused attention, the secondary brain ability corresponding to the visual search task is selective attention, the secondary brain ability corresponding to the attention control task is attention control, the secondary brain ability corresponding to the random dot task is motion perception, the secondary brain ability corresponding to the Simon-Flanker task is interference control, and the secondary brain ability corresponding to the number comparison task is conflict inhibition.

4. The ADHD children cognitive assessment method according to claim 1, wherein: Each of the cognitive assessment tasks has specific metrics for calculating the assessment score. Among them, the specific metrics are determined based on the behavioral response data of the cognitive assessment task, and the specific metrics include at least one of the response result, actual key presses, and response duration.

5. The ADHD child cognitive assessment method according to claim 4, wherein The assessment score of the cognitive assessment task is calculated in the following manner: Based on the specific metrics of the cognitive assessment task, obtain the raw score of the cognitive assessment task; Perform norm transformation on the raw score of the cognitive assessment task based on a preset model to obtain the norm-transformed score Z of the cognitive assessment task; Calculate the assessment score S of the cognitive assessment task, where S = 100 + 15Z.

6. The ADHD children's cognitive assessment method according to claim 1, wherein The cognitive assessment report includes: Header information, which at least includes the name of the testing hospital, the name of the assessment report, the personal information of the patient, the assessment time, and the name of the disease; The secondary brain ability assessment results, which are presented in tabular form to show the assessment scores and norm percentile ranks corresponding to the core secondary brain abilities of each assessment task; The secondary brain ability assessment distribution, which intuitively shows the levels of various secondary brain abilities in the form of a bubble chart; Result summary, which provides an overview of the cognitive ability development of the ADHD child based on the secondary brain ability assessment results and secondary brain ability assessment distribution of the ADHD child.

7. The ADHD child cognitive assessment method according to claim 1, wherein It also includes: Obtain the secondary brain abilities that the ADHD child has reached based on the cognitive assessment report of the ADHD child; Delete the cognitive assessment tasks corresponding to the secondary brain abilities that have been reached from the preset cognitive assessment plan to form a personalized cognitive assessment plan; Push the personalized cognitive assessment plan to the ADHD child for another cognitive assessment.

8. A computer-based cognitive assessment system for children with ADHD, characterized in that It includes: An information entry unit for entering the personal information of the ADHD child; An assessment task unit, which is connected to the information entry unit and presets a cognitive assessment plan for pushing the cognitive assessment plan to the ADHD child for cognitive assessment; among them, the cognitive assessment plan includes multiple preset cognitive assessment tasks, each of which corresponds to a secondary brain ability related to ADHD, and each of the cognitive assessment tasks includes a teaching guide stage, a simulation assessment stage, and a formal assessment stage in sequence; A data collection unit, which is connected to the assessment task unit for collecting the behavioral response data of the ADHD child during the cognitive assessment; among them, the behavioral response data at least includes: response result, actual key presses, and response duration; A calculation unit, which is connected to the data collection unit and has a preset model built in, to calculate the assessment score and norm percentile rank of each cognitive assessment task for the ADHD child based on the behavioral response data of the ADHD child for each cognitive assessment task through the preset model; An output unit, which is connected to the calculation unit, to output the assessment results and norm distribution results of each secondary brain ability of the ADHD child respectively based on the assessment scores and norm percentile ranks of each cognitive assessment task of the ADHD child, and then output the cognitive assessment report of the ADHD child.

9. The ADHD children's cognitive assessment system according to claim 8, wherein It also includes: The query unit, connected to the output unit, is used to store and query the cognitive assessment reports of the ADHD children.

10. A computer-based cognitive assessment system for children with ADHD, characterized in that It includes a processor and a memory. The processor reads the computer program in the memory and is used to execute the ADHD children cognitive assessment method according to any one of claims 1 to 7.

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