Cognitive function evaluation data acquisition method and device

Abstract

The invention discloses a cognitive function assessment data acquisition method and device, relates to the field of medical health, and is used for improving the convenience, efficiency and accuracy of assessment. Aiming at ADHD children, concentrated attention data, continuous attention data, selective attention data, alternate attention data, dispersive attention data, work memory ability data, suppression control ability data and cognitive flexibility ability data are respectively acquired by developing multiple rounds of interactive tasks. According to the invention, the portability of evaluation facilities is improved, and the accuracy and efficiency of data acquisition and evaluation are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical health, and in particular to a method and device for collecting cognitive function assessment data. Background Art

[0002] Currently, the clinical assessment of children with ADHD (Attention-deficit hyperactivity disorder) mainly adopts a combination of scale assessment and behavioral task assessment.

[0003] In the scale assessment phase, paper-based SNAP-IV, CHEXI and other scales are mostly used for assessment, which is achieved through the following steps: first, parents fill in the scores manually on a paper quality sheet, then medical staff collect the scales and manually score them, and finally transcribe the scores into the medical record system.

[0004] Medical institutions typically use independent attention testing devices to assess behavioral tasks. This is accomplished through the following steps: the patient completes the attention test on a dedicated device, the device records the raw data, the system generates an assessment report, and the doctor interprets the report and records it in the medical record.

[0005] The above method has the following problems: 1. Paper quality forms require pen and paper, which is cumbersome to fill out. It is not convenient for multiple people to evaluate at the same time and is prone to subjective errors.

[0006] 2. The manual scoring process is time-consuming, the workload is heavy, and the statistical efficiency is low.

[0007] 3. The evaluation results need to be manually calculated and re-entered. There are human factors that may cause input or calculation errors, which will affect the accuracy of the evaluation results.

[0008] 4. Due to the physical property limitations of paper quality charts, real-time synchronization and dynamic updating of data cannot be achieved, making it difficult to compare patient improvements.

[0009] 5. Since scale assessment and behavioral task assessment are independent of each other and cannot be correlated and analyzed in real time, the judgment of patient performance depends on the doctor's experience, which affects the efficiency and accuracy of the assessment and makes it inconvenient for the doctor to diagnose.

[0010] 6. The behavioral task assessment process relies on special equipment with limited use, making it difficult to meet the needs of multiple people being assessed simultaneously and the needs of patients to decide the time and place of the assessment on their own.

[0011] 7. Scale assessment and behavioral task assessment can only collect attention data of a specific paradigm and cannot fully reflect the symptoms of ADHD children.

[0012] In response to the above technical problems, the industry has tried to optimize them by developing electronic scales, but this can only improve the problems of human intervention introduced in the evaluation process of paper scales, and cannot improve fundamental problems such as the separation of scale and behavioral assessment data, cumbersome operation, limited equipment use, and poor comprehensiveness of attention data. Summary of the Invention

[0013] The object of the present invention is to provide a method and device for collecting cognitive function assessment data to address all or part of the above-mentioned problems, based on a portable electronic device that uses an interactive task to unify scale assessment and behavioral task assessment for attention data collection, thereby realizing automatic collection and association of scale assessment and behavioral assessment data, avoiding human-introduced assessment errors, and improving the convenience and efficiency of assessment.

[0014] The technical solution adopted in the present invention is as follows: A method for collecting cognitive function assessment data for children with ADHD, comprising: By carrying out multiple rounds of interactive tasks, concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data and cognitive flexibility ability data are collected respectively; each round of tasks prompts the operation rules of the operation object of that round of tasks, and in the process of displaying the operation object, the behavioral data of the clicks on the display interface are recorded to obtain the data collected in each round of tasks; among them, the concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data and inhibitory control ability data record the accuracy rate, discrimination index, average reaction time, reaction time standard deviation, reaction time coefficient of variation and integration efficiency score of the corresponding tasks; the working memory ability data records the working memory span, average reaction time and number of marks of the corresponding tasks; the cognitive flexibility ability data records the total number of reactions, average reaction time, number of completed classifications and number of continuous errors of the corresponding tasks.

[0015] On the other hand, the present invention also provides a cognitive function assessment data acquisition device, which carries out multiple rounds of interactive tasks through an interactive module, and collects concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data and cognitive flexibility ability data respectively during the process of carrying out multiple rounds of interactive tasks through the interactive module; wherein, the interactive module is configured to: prompt the operation rules of the operation object of each round of tasks respectively, and in the process of displaying the operation object, record the behavioral data of the clicks on the display interface to obtain the attention data collected for each round of tasks; the concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data and inhibitory control ability data record the accuracy rate, discrimination index, average reaction time, reaction time standard deviation, reaction time coefficient of variation and integrated efficiency score of the corresponding tasks; the working memory ability data records the working memory span, average reaction time and number of marks of the corresponding tasks; the cognitive flexibility ability data records the total number of reactions, average reaction time, number of completed classifications and number of continuous errors of the corresponding tasks.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This application collects multi-dimensional attention data / executive function data in the form of interactive tasks, which can get rid of the limitations of dedicated equipment and can be implemented with the help of any portable interactive device, thereby improving the portability and flexibility of use of the assessment facilities. This application does not require the intervention of personnel other than the subjects, avoids the introduction of human errors, and improves the accuracy of data collection and evaluation. This application naturally integrates and automatically associates the original scale evaluation and behavioral task evaluation through interactive tasks, fundamentally solving the problem of the original data separation and cumbersome operation of the two. This application comprehensively evaluates the patient's attention data in many aspects, providing more comprehensive data support for the later diagnosis of ADHD children. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will now be described by way of example with reference to the accompanying drawings, in which: Figure 1 This is a prompt screen for carrying out the first task in one embodiment of the present application; Figure 2 In one embodiment of the present application, a screen showing a first object is displayed when performing a first task; Figure 3 This is a prompt screen for carrying out the second task in one embodiment of the present application; Figure 4 In one embodiment of the present application, the second task is performed and the second object is displayed; Figure 5 This is a demonstration screen for carrying out the third task in one embodiment of the present application; Figure 6 This is a prompt screen for carrying out the third task in one embodiment of the present application; Figure 7 In one embodiment of the present application, the third task is performed while displaying the third object and the third interfering object; Figure 8 This is a prompt screen for carrying out the fourth task in one embodiment of the present application; Figure 9 In one embodiment of the present application, the fourth task is performed while displaying the first prompt, the fourth object, and the fourth interference object; Figure 10 This is a prompt screen for carrying out the fifth task in one embodiment of the present application; Figure 11 In one embodiment of the present application, the fifth task is performed while displaying the second prompt and the fifth object; Figure 12 This is a prompt screen for carrying out the sixth task in one embodiment of the present application; Figure 13 This is a screen showing a clue for selecting a sixth object during a sixth task in one embodiment of the present application; Figure 14 This is a prompt screen for carrying out the seventh task in one embodiment of the present application; Figure 15 In one embodiment of the present application, the seventh task is performed while displaying the third prompt, the seventh object, and the fifth interference object; Figure 16 This is a prompt screen for carrying out the eighth task in one embodiment of the present application; Figure 17 In one embodiment of the present application, the eighth task is carried out while displaying the fourth prompt, the eighth object and the sixth interference object. DETAILED DESCRIPTION

[0018] All features disclosed in this specification, or all steps in the disclosed methods or processes, except mutually exclusive features and / or steps, can be combined in any manner.

[0019] Any feature disclosed in this specification (including any appended claims and abstract), unless otherwise stated, may be replaced by other equivalent or similar features. In other words, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

[0020] In response to the problems of large subjective errors, cumbersome operation, low efficiency, poor real-time performance, data fragmentation, limited equipment use and lack of comprehensiveness in the traditional clinical assessment of ADHD children through split scale assessment and behavioral task assessment, the embodiments of the present application provide a cognitive function assessment data collection method and device, aiming to provide a more scientific and comprehensive, more convenient to operate, more objective, more data-related and more efficient clinical assessment data collection solution for ADHD children.

[0021] The cognitive function assessment data collection method provided in this application includes the following designs: With the help of portable interactive devices such as tablets, multiple rounds of interactive tasks were carried out to collect attention and executive function assessment data in eight dimensions, including concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data and cognitive flexibility ability data.

[0022] Each task cycle collects a type of attentional data or executive function data (ability data). Each cycle consists of at least one task group, with intervals between each task group to allow participants time to recover and recharge. Each task group contains multiple trials. Furthermore, to accommodate children's attention spans, intervals are set between each task cycle to allow participants time to rest or prepare for task switching.

[0023] For each round of tasks, the operating rules for the operation objects of that round are prompted. These operating rules include rules for how to select the corresponding operation object according to the prompts, or rules for how to operate the corresponding operation object according to the prompts. In each round of tasks, the operation objects are also displayed. During the display of the operation objects, the behavioral data of the clicks on the display interface are recorded to obtain the data collected for each round of tasks (attention data or executive function data (i.e., corresponding ability data)). During the display of the operation objects on the display interface, the subject operates the corresponding operation objects on the display interface according to the prompts. The display interface then records the subject's operation behavior, including the time and location of clicks or sliding operations, etc. The recorded location can be used to determine whether the operation behavior on the operation object at the corresponding time was accurate, and the recorded time can be used to calculate indicators such as the subject's reaction time.

[0024] The eight dimensions of attention or executive function data mentioned above include focused attention, sustained attention, selective attention, alternating attention, divided attention, and inhibitory control data, which record the accuracy (ACC), discrimination index (d'), mean reaction time (Mean RT), standard deviation of reaction time (SD Reaction), coefficient of variation of reaction time (CV Reaction), and integration efficiency score (IES) for the corresponding tasks. Working memory data record the working memory span (WM Span), mean reaction time, and number of signs (SignCounts) for the corresponding tasks. Cognitive flexibility data record the total number of responses (RA), mean reaction time, number of completed categories (CC), and number of perseverative errors (RPE) for the corresponding tasks.

[0025] The explanations of the above indicators are shown in Table 1.

[0026] Table 1 Indicator definition table

[0027] The following describes the methods for collecting attention data / executive function data in various dimensions through multiple embodiments.

[0028] In an optional embodiment, the method for collecting concentrated attention data includes: During the first task, at least two sets of first subtasks are performed at intervals. During each set of first subtasks, the user is prompted with the first object to be selected for the current set of first subtasks. During the display of the first object and at least one first distractor object, the user records the first action data of clicks on the display interface. The first object has a higher probability of appearing than the first distractor object.

[0029] The first object and the first interference object belong to the same sensory channel, and the first object appears with a low probability. The first task is divided into two groups of first subtasks. The task volume of each block is designed to be 50 trials. The first object appears 30 times and the first interference object appears 20 times. The two are randomly distributed. This is to avoid fatigue effects and subjective evaluation errors introduced by continuous task volume. For example, assuming that the number of first interference objects is 1, in a group of first subtasks, such as Figure 1 As shown, the first object is set to be an apple and the first interference object is set to be a banana (or vice versa, and the two objects can be replaced by other images), as shown in FIG. Figure 2As shown, apples and bananas appear separately each time, and apples appear with a low probability. The subjects need to respond to apples with a low probability, and overcome the habitual response tendency to bananas that appear frequently. In the design of the first subtask, the display time of apples or bananas can be set to 200ms-2000ms, and the time interval between adjacent objects is set to 800ms-1000ms. The above design of the number of groups for the first subtask, the design of the task amount for the first subtask, and the design of the object display time and time interval, while maintaining an effective test of the core characteristics of concentrated attention, can better adapt to the cognitive and attention characteristics of children with ADHD, making the measurement results more scientific and reliable.

[0030] It should also be noted that the first object and the first interference object in the first subtask of two groups (the same applies to more groups) can be the same or different. For example, in the first subtask of the first group, the first object is an apple and the first interference object is a banana. In the first subtask of the second group, the first object and the first interference object are both replaced with other images.

[0031] In an optional embodiment, the method for collecting sustained attention data includes: During the second task, at least two sets of second subtasks are performed at intervals. During each set of second subtasks, a second object to be selected for the current set of second subtasks is displayed. During the display of the second object and multiple second distracting objects, second behavior data of clicks on the display interface is recorded. The second object has a higher probability of appearing than the second distracting objects.

[0032] The design of the sustained attention acquisition task is quite different from that of the focused attention acquisition task. In the second task, there are more distractors and the target object has a higher probability of appearing. For example, the second task includes two or more groups of second subtasks, and the task volume of each group of second subtasks is 60 trials. The second object and the second distractor also belong to the same sensory channel. Figure 3 As shown in , the number of the second interference objects is designed to be 4. Assuming that the second object is bamboo, the second interference objects include grass, sunflowers, trees and cacti. Figure 4 As shown, in each trial, bamboo or other objects appear randomly, and the subject needs to choose bamboo. This requires the subject to continuously pay attention to the bamboo with a high probability of appearing and respond, while suppressing the tendency to respond to the second interference object with a low probability of appearing.

[0033] In the design of the second sub-tasks, an interval of 30 seconds is designed between each group of second sub-tasks, the number of times of appearance of the first bamboo is set to 40 times, and the number of times of appearance of other objects is set to 20 times, and the distribution of both is random. In this way, while effectively testing the core features of sustained attention, the cognitive and attention characteristics of ADHD children can be better adapted to, making the measurement results more scientific and reliable.

[0034] As an optional implementation, the selective attention data collection method includes: In the third task, a plurality of groups of third sub-tasks are carried out in intervals. In the carrying out of each group of third sub-tasks, a third object to be selected in the current group of third sub-tasks is prompted, and third behavior data of a click on a display interface is recorded in the process of simultaneously displaying the third object and at least one third interference object. The third object to be selected in each group of third sub-tasks is different.

[0035] The selective attention data collection task requires the measured object to first remember the target object, and then successfully select the target object from a visual scene mixed with the target object and the interference object. In order to more accurately test the selective attention of the measured object, the third object and the third interference object belong to the same sensory channel.

[0036] For example, the third task includes two or more groups of third sub-tasks, the interval time between each group of third sub-tasks is 1s-5s, each group of third sub-tasks is designed for 20 trials, if there are three groups of third sub-tasks, the total number of trials is 60, each trial is presented within 10s, for example, 8s, and each trial presents all objects until the measured object selects it or reaches the maximum presentation time. The number of third interference objects is assumed to be 5, plus the third object, so that 6 objects are displayed simultaneously in each trial, as shown in FIG. 6, the 6 objects can be arranged in a ring, and the measured object is required to successfully select the target object of the group of third sub-tasks from the 6 objects. Figure 5

[0037] In order to ensure effective measurement of selective attention features and maintain the interest and attention of children, the third object to be selected in each group of third sub-tasks is different. For example, as shown in FIG. 7, the first group of third sub-tasks is to select a crown, the second group of third sub-tasks is to select a bow dress, and the third group of third sub-tasks is to select blue glasses. Figure 6

[0038] In addition, for the prompt of the third object in each group of third sub-tasks, as shown in FIG. 8, it can be prompted in the form of text or in the form of an image. Figure 7

[0039] As an optional implementation, the alternating attention data collection method includes: ​​​In the fourth task, the rule of selecting the fourth object in response to the first cue state is prompted, and the fourth behavior data of the display interface being clicked is recorded in the process of simultaneously displaying the first cue, the fourth object, and at least one fourth interference object.

[0040] The alternating attention data collection task requires the subject to select different fourth objects in response to different cues. For example, the task amount of the fourth task is designed to be 40 trials, and each trial has a presentation time of 8 seconds. The first cue, the fourth object, and the fourth interference object are continuously presented until the subject responds or the maximum presentation time is reached. A 1-second interval is designed between each trial to help the subject better prepare for task switching. Among the 40 trials, the different states of the first cue tend to be the same. For example, if the first cue has two states, each state appears 20 times. If the first cue has three states, the number of times each state appears is 13, 13, and 14.

[0041] As shown in Figure 8 , the first cue is designed to have two states, and the giant panda and the white rabbit correspond to the two states, respectively. When the giant panda appears (indicating that the first cue is in the first state), the subject is required to "select the large food", and when the white rabbit appears (indicating that the first cue is in the second state), the subject is required to "select the red food".

[0042] For example Figure 9 , in a certain trial, the first cue is a giant panda, and the subject needs to select Chinese cabbage (large food) to be correct. In the total of 40 trials of the fourth task, the giant panda and the white rabbit appear 20 times each, and their distribution is random.

[0043] As an optional implementation, the method for collecting divided attention data includes: In the fifth task, the rule of operating the fifth object in response to the second cue state and the initial state of the fifth object is prompted, and the fifth behavior data of the display interface being clicked is recorded in the process of simultaneously displaying the second cue and the fifth object.

[0044] The divided attention data collection task requires the subject to decide whether to operate the fifth object and what operation to perform according to the different states of the second cue and the different initial states of the fifth object. This requires the subject to pay attention to the state of the second cue and the initial state of the fifth object at the same time.

[0045] For example, the fifth task is designed to decide whether to operate the kart according to the state of the traffic light, and to decide whether to change lanes of the kart according to the lane where the kart is located. Specifically, as shown in Figure 10As shown in FIG, the second prompt object is a traffic light, and the fifth object is a go-kart. The traffic light includes three states: red, green, and yellow. The red and yellow lights both indicate stop, and the go-kart does not need to be operated. Figure 11 As shown, the green light means go ahead, and you need to operate the kart. The kart has three initial states, including being in the left lane, the middle lane, and the right lane. When the light is green, if the kart is in the left lane, click the right arrow key or slide right to move the kart to the middle lane. If the kart is in the right lane, click the left arrow key or slide left to move the kart to the middle lane. If the kart is already in the middle lane, click the forward arrow key or slide forward to keep the kart moving forward.

[0046] To ensure a balanced distribution of states and avoid the tendency to habituate cognition due to excessive repetition, the probabilities of the different states of the second cue in the fifth task (i.e., the probability of indicating an action or inaction on the fifth object) are similar. For example, in the above example, assuming the fifth task consists of 36 trials, the green light appears 18 times, the red light appears 9 times, and the yellow light appears 9 times, indicating the forward and stop states 18 times each. Furthermore, the probabilities of the various initial states of the fifth object are also similar. For example, in the above example, the go-kart appears 12 times each in the left lane, the middle lane, and the right lane. The state of the second cue is randomly matched to the initial state of the fifth object.

[0047] As an optional implementation, the method for collecting working memory capacity data includes: During the sixth task, the selection rules for the sixth object were prompted, and multiple sets of the fourth subtasks were conducted at intervals. During each set of the fourth subtask, the selection clues for the sixth object in the current set of the fourth subtask were prompted, and the data for the sixth action clicked on the display interface was recorded after the prompt. The complexity of the selection clues for the sixth object in multiple sets of the fourth subtasks increased.

[0048] For example, the sixth task is to repeatedly present the sixth object according to the order and position of the sixth object in the demonstration to test the subject's memory ability. Assume that in the sixth task, there are 16 treasure chests in a 4×4 pattern, and the sixth object is a gem. The gem is presented in different treasure chests at a rate of one per second. Figure 12 As shown, the prompt for the sixth object selection rule in the sixth task requires the subject to select the corresponding treasure chests in the order and position of the gems appearing.

[0049] In addition, you can also gradually increase the number of treasures that need to be remembered, that is, the number of treasure chests where gems appear, with increasing difficulty. For example, the sixth task contains multiple task groups, and the number of treasures in each task group is the same. The number of treasures in different task groups gradually increases (for example, the number increases by one).Figure 13 The first task group is shown in the schematic diagram of the treasure presentation, which contains 2 treasures, i.e. the measured object needs to remember the order and position of the two gems. Of course, the task group can also not be designed, and the number of treasures is increased in each trial.

[0050] The above-mentioned sixth task design not only maintains the effective measurement of visual-spatial working memory, but also enhances the task participation of children through the interesting treasure hunting situation, making the task more close to the cognitive level and interest characteristics of children.

[0051] As an optional implementation, the method for collecting inhibition control ability data includes: In the seventh task, the rule of selecting the seventh object in response to the third prompt state is prompted, and the seventh behavior data of the display interface being clicked is recorded in the process of simultaneously displaying the third prompt, the seventh object and at least one fifth interference object. The third prompt represents different states in different semantics or colors, and the consistency of the semantics and the color appearance is maintained according to a set proportion.

[0052] In the seventh task, the measured object is required to correctly select the seventh object from the scene mixed with the seventh object and the fifth interference object according to the semantics or color of the third prompt. For example, if the rule requires selecting the seventh object according to the semantics of the third prompt, then if the color of the third prompt is inconsistent with the semantics, it belongs to the interference factor, and the measured object is required to inhibit the cognitive trend of the color of the third prompt and pay more attention to the semantics of the third prompt. Or, if the rule requires selecting the seventh object according to the color of the third prompt, then if the semantics of the third prompt is inconsistent with the color, it belongs to the interference factor, and the measured object is required to inhibit the cognitive trend of the semantics of the third prompt and pay more attention to the color of the third prompt.

[0053] For example, in the seventh task, the third prompt is designed as a color word, such as the words "red", "green" and "blue", and the third prompt is also designed with a color attribute, such as a "red" word in green and a "green" word in blue. If the color word is the same as its font color (such as the "red" word in red), it is called that the semantics and color of the third prompt are consistent, otherwise (such as the "red" word in green), it is called that the semantics and color of the third prompt are inconsistent. The seventh object is a fruit corresponding to the target color word, such as Figure 14 、 Figure 15 As shown, in the rule of selecting the seventh object according to the semantics of the third prompt, the third prompt is the word "green", and the seventh object is a green fruit.

[0054] In addition, in order to maintain the stimulation balance of the different states of the third cue to the subjects and avoid the formation of stimulus fatigue, the probability of the third cue's semantics and color being consistent and inconsistent is designed to be equal. For example, in a test with a total of 40 trials, the number of times the semantics and color of the third cue are consistent and inconsistent is 20 trials each.

[0055] As an optional implementation, a method for collecting cognitive flexibility ability data includes: During the eighth task, the rules for selecting the eighth object in response to the fourth cue state were presented. While simultaneously displaying the fourth cue, the eighth object, and at least one sixth distractor, eighth behavioral data for clicks on the display interface was recorded, and the correctness of each record was noted. The fourth cue represented different states using different colors, numbers, and shapes. Only one of these features was correct, and the correct feature was not identical across trials of the eighth task and appeared continuously.

[0056] In the cognitive flexibility data collection task, subjects are required to select, based on the color, number, or shape of the fourth cue, an eighth object that they believe to be the same color, number, or shape from a mixed scene containing an eighth object and a sixth distractor. After each selection, they are prompted to determine whether the selection is correct. If correct, they may continue to select the corresponding eighth object according to the rule (e.g., color) until prompted with an incorrect selection. In this case, they are prompted to change the rule and select the eighth object that is the same number or shape as the fourth cue. This is repeated until prompted with a correct selection (e.g., number). They continue to select the eighth object based on number until prompted with an incorrect selection. Finally, they change the rule and select the eighth object that is the same shape as the fourth cue until prompted with an incorrect selection or all trials are exhausted. For example, a correct rule might be: first, select the eighth object that is the same number as the fourth cue four times, then select the eighth object that is the same color as the fourth cue five times, and then select the eighth object that is the same shape as the fourth cue six times, ending the test.

[0057] For example, the fourth prompt object is candy, and the eighth object is a candy box containing candies of different colors and quantities. Figure 16 As shown in the figure, the prompts have different shapes, colors and quantities of candies. The user needs to select the corresponding candy box according to the shape, color or quantity of the candies displayed. However, the correct selection rule is unknown, and the test subject needs to infer the correct rule based on the prompt (correct or wrong) each time he chooses. Figure 17As shown in the figure, Task 8 consists of 64 trials, meaning the subject has 64 opportunities to make mistakes, with the test ending after 15 successful attempts. This design retains the core features of learning through trial and error and immediate feedback, while making the task more suitable for children's cognitive development through a more specific context and simplified task requirements.

[0058] According to the concept of the present application, a cognitive function assessment data acquisition device is also provided in an embodiment of the present application. The device carries out multiple rounds of interactive tasks through an interactive module, and collects concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data and cognitive flexibility ability data respectively through the interactive module during the process of carrying out multiple rounds of interactive tasks.

[0059] Each task cycle collects a type of attentional data or executive function data (ability data). Each cycle consists of at least one task group, with intervals between each task group to allow participants time to recover and recharge. Each task group contains multiple trials. Furthermore, to accommodate children's attention spans, intervals are set between each task cycle to allow participants time to rest or prepare for task switching.

[0060] The interaction module is configured to provide the rules for the manipulation objects in each task round. During the display of the manipulation objects, the behavioral data of clicks on the display interface is recorded to obtain the data collected for each task round. Concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, and inhibitory control ability data record the accuracy rate, discrimination index, average reaction time, reaction time standard deviation, reaction time coefficient of variation, and integration efficiency score for the corresponding tasks. Working memory ability data records the working memory span, average reaction time, and number of tokens for the corresponding tasks. Cognitive flexibility ability data records the total number of responses, average reaction time, number of completed classifications, and number of perseverative errors for the corresponding tasks.

[0061] The interactive module can collect concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data and cognitive flexibility ability data by respectively configuring the features corresponding to the above-mentioned cognitive function assessment data collection method embodiment.

[0062] The present invention is not limited to the aforementioned specific embodiments, but extends to any new features or any new combination disclosed in this specification, as well as any new method or process steps or any new combination disclosed.

Claims

1. A method for collecting cognitive function assessment data for children with ADHD, characterized by: include: By carrying out multiple rounds of interactive tasks, concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data and cognitive flexibility ability data are collected respectively; each round of tasks prompts the operation rules of the operation object of that round of tasks, and in the process of displaying the operation object, the behavioral data of the clicks on the display interface are recorded to obtain the data collected in each round of tasks; wherein, the concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data and inhibitory control ability data record the accuracy rate, discrimination index, average reaction time, reaction time standard deviation, reaction time coefficient of variation and integration efficiency score of the corresponding tasks; the working memory ability data records the working memory span, average reaction time and number of marks of the corresponding tasks; the cognitive flexibility ability data records the total number of reactions, average reaction time, number of completed classifications and number of continuous errors of the corresponding tasks.

2. The method for collecting cognitive function assessment data according to claim 1, wherein: The method for collecting concentrated attention data includes: When carrying out the first task, at least two groups of first subtasks are carried out at intervals. When carrying out each group of first subtasks, the first object to be selected for the current group of first subtasks is prompted. In the process of displaying the first object and at least one first interference object respectively, the first behavior data of the display interface being clicked is recorded; the probability of the first object appearing is higher than that of the first interference object.

3. The cognitive function assessment data collection method according to claim 1, wherein: The method for collecting sustained attention data includes: When carrying out the second task, at least two groups of second subtasks are carried out at intervals. When carrying out each group of second subtasks, the second object to be selected for the current group of second subtasks is prompted. In the process of displaying the second object and multiple second interference objects respectively, the second behavior data of the display interface being clicked is recorded; the probability of the second object appearing is higher than that of the second interference object.

4. The method for collecting cognitive function assessment data according to claim 1, wherein: The method for collecting selective attention data includes: When carrying out the third task, multiple groups of third subtasks are carried out at intervals. When carrying out each group of third subtasks, the third object to be selected for the current group of third subtasks is prompted. While displaying the third object and at least one third interference object at the same time, the third behavior data of the display interface being clicked is recorded; the third object to be selected for each group of third subtasks is different.

5. The cognitive function assessment data collection method according to claim 1, wherein: The method for collecting alternating attention data includes: In carrying out the fourth task, a rule for selecting a fourth object in response to the state of the first prompt is prompted, and while simultaneously displaying the first prompt, the fourth object and at least one fourth interference object, fourth behavior data of the display interface being clicked is recorded.

6. The cognitive function assessment data collection method according to claim 1, wherein: The method for collecting distraction data includes: In carrying out the fifth task, the operation rules for the fifth object are prompted in response to the state of the second prompt object and the initial state of the fifth object. While simultaneously displaying the second prompt object and the fifth object, the fifth behavior data of the display interface being clicked is recorded.

7. The method for collecting cognitive function assessment data according to claim 1, wherein: The method for collecting working memory capacity data includes: When carrying out the sixth task, the selection rules for the sixth object are prompted, and multiple groups of fourth subtasks are carried out at intervals. When carrying out each group of fourth subtasks, the selection clues for the sixth object of the current group of fourth subtasks are prompted, and the sixth behavior data of the click on the display interface is recorded after the prompt; the complexity of the selection clues for the sixth object in multiple groups of fourth subtasks shows an increasing trend.

8. The method for collecting cognitive function assessment data according to claim 1, wherein: The method for collecting the inhibitory control ability data includes: In carrying out the seventh task, the rule of selecting the seventh object in response to the state of the third prompt is prompted. While simultaneously displaying the third prompt, the seventh object and at least one fifth interference object, the seventh behavior data of the display interface being clicked is recorded; the third prompt represents different states with different semantics or colors, and the consistency of the semantics and color appearance is maintained according to the set ratio.

9. The method for collecting cognitive function assessment data according to claim 1, wherein: The method for collecting cognitive flexibility ability data includes: In the eighth task, the rule of selecting the eighth object in response to the state of the fourth prompt is prompted. While simultaneously displaying the fourth prompt, the eighth object and at least one sixth interference object, the eighth behavior data of the display interface being clicked is recorded, and the correctness of each record is prompted; the fourth prompt represents different states with different colors, quantities and shape characteristics, among which only one characteristic is the correct characteristic, and the correct characteristic is not entirely the same in different trials of the eighth task and appears continuously.

10. A cognitive function assessment data acquisition device, characterized in that: The device carries out multiple rounds of interactive tasks through the interactive module, and collects concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data, working memory ability data, inhibitory control ability data, and cognitive flexibility ability data respectively through the interactive module during the multiple rounds of interactive tasks; Among them, the interaction module is configured to: prompt the operation rules of the operation object for each round of tasks, and in the process of displaying the operation object, record the behavioral data of the clicks on the display interface to obtain the data collected for each round of tasks; the concentrated attention data, sustained attention data, selective attention data, alternating attention data, divided attention data and inhibitory control ability data record the accuracy rate, discrimination index, average reaction time, reaction time standard deviation, reaction time coefficient of variation and integration efficiency score of the corresponding tasks; the working memory ability data records the working memory span, average reaction time and number of marks for the corresponding tasks; the cognitive flexibility ability data records the total number of reactions, average reaction time, number of completed classifications and number of continuous errors for the corresponding tasks.

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