A method and apparatus for assessing cognitive potential

Abstract

The application discloses a cognitive potential evaluation method and device, and the method comprises the following steps: determining a target behavior paradigm according to the working nature of a testee and a test evaluation target, and acquiring a cognitive task conforming to the target behavior paradigm from a behavior scene database; collecting electroencephalogram data of the testee when the testee performs the cognitive task, recording the reaction time and reaction right and wrong of the testee when the testee performs the cognitive task, and counting the reaction accuracy of the testee when the testee performs the cognitive task; if the reaction accuracy of the testee when the testee performs the cognitive task is greater than a preset threshold, calculating the electroencephalogram difference value between the first data and the second data; and evaluating the cognitive potential of the testee according to the reaction time, the reaction accuracy and the electroencephalogram difference value. The cognitive potential of the testee is evaluated based on electroencephalogram and behavior paradigm, and the cognitive potential of the testee can be comprehensively evaluated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular to a cognitive potential evaluation method and device. BACKGROUND

[0002] Cognition is the information processing process of individuals on sensory signal receiving, detection, conversion, simplification, synthesis, encoding, storage, extraction, reconstruction, concept formation, judgment and problem solving; in psychology, cognition refers to the process of acquiring knowledge through psychological activities such as concept formation, perception, judgment or imagination.

[0003] In the prior art, cognitive potential is evaluated from the dimensions of language ability, mathematical ability, logical reasoning and spatial ability through scales and question solving, and only external form scores can be obtained, and the cognitive potential of the testee cannot be comprehensively evaluated. SUMMARY

[0004] The present application provides a cognitive potential evaluation method and device to solve the defect that the prior art cannot comprehensively evaluate the cognitive potential of the testee.

[0005] The present application provides a cognitive potential evaluation method, comprising the following steps:

[0006] According to the working nature of the testee and the test evaluation target, a target behavior paradigm is determined, and a cognitive task conforming to the target behavior paradigm is obtained from a behavior scene database, the target behavior paradigm comprising a plurality of resting states and a plurality of task states;

[0007] The brain electrical data of the testee when performing the cognitive task is collected, the reaction time and reaction right or wrong of the testee performing the cognitive task are recorded, and the reaction accuracy of the testee performing the cognitive task is counted, the brain electrical data comprising first data and second data, the first data being the brain electrical data of the testee in the resting state of the target behavior paradigm, and the second data being the brain electrical data of the testee in the task state of the target behavior paradigm;

[0008] If the reaction accuracy of the testee performing the cognitive task is greater than a preset threshold, the brain electrical difference value between the first data and the second data is calculated;

[0009] According to the reaction time, the reaction accuracy and the brain electrical difference value, the cognitive potential of the testee is evaluated.

[0010] Further, the brain electrical data is the time domain feature and / or frequency domain feature of brain electrical data;

[0011] The calculation of the brain electrical difference value between the first data and the second data specifically comprises:

[0012] calculating a time-domain difference between the time-domain feature of the electroencephalogram of the tested subject in the resting state of the target behavioral paradigm and the time-domain feature of the electroencephalogram of the tested subject in the task state of the target behavioral paradigm;

[0013] and / or,

[0014] calculating a frequency-domain difference between the frequency-domain feature of the electroencephalogram of the tested subject in the resting state of the target behavioral paradigm and the frequency-domain feature of the electroencephalogram of the tested subject in the task state of the target behavioral paradigm.

[0015] Further, after recording the reaction time of the tested subject in performing the cognitive task, the method further comprises:

[0016] including the reaction time into a group database to form a normal distribution curve of the reaction time and calculating the quantile of the reaction time of the tested subject in the test group, the test group comprising a plurality of tested subjects, and the group database comprising the reaction time of each of the tested subjects in performing the cognitive task;

[0017] After the statistical analysis of the reaction accuracy of the tested subject in performing the cognitive task, the method further comprises:

[0018] including the reaction accuracy into a group database to form a normal distribution curve of the reaction accuracy and calculating the quantile of the reaction accuracy of the tested subject in the test group, the test group comprising a plurality of tested subjects, and the group database comprising the reaction accuracy of each of the tested subjects in performing the cognitive task;

[0019] After the calculation of the time-domain difference between the time-domain feature of the electroencephalogram of the tested subject in the resting state of the target behavioral paradigm and the time-domain feature of the electroencephalogram of the tested subject in the task state of the target behavioral paradigm, the method further comprises:

[0020] including the time-domain difference into a group database to form a normal distribution curve of the time-domain difference and calculating the quantile of the time-domain difference of the tested subject in the test group, the test group comprising a plurality of tested subjects, and the group database comprising the time-domain difference of each of the tested subjects in performing the cognitive task;

[0021] After the calculation of the frequency-domain difference between the frequency-domain feature of the electroencephalogram of the tested subject in the resting state of the target behavioral paradigm and the frequency-domain feature of the electroencephalogram of the tested subject in the task state of the target behavioral paradigm, the method further comprises:

[0022] The frequency domain difference is incorporated into a group database to form a frequency domain difference normal distribution curve, and the frequency domain difference of the measured object in the test group is calculated, the test group including a plurality of testees, and the group database including the frequency domain difference of each testee performing the cognitive task.

[0023] Further, the cognitive potential of the testee is evaluated according to the reaction time, the reaction accuracy and the EEG difference value, and specifically includes:

[0024] According to the reaction time of the measured object in the test group, the reaction accuracy of the measured object in the test group, the time domain difference of the measured object in the test group, and the frequency domain difference of the measured object in the test group, the cognitive potential ranking of the measured object in the test group is calculated.

[0025] Further, it also includes determining the weight of the reaction time of the testee, the weight of the reaction accuracy of the testee, the weight of the time domain difference of the testee, and the weight of the frequency domain difference of the testee according to the working nature of the testee and the test evaluation target;

[0026] The cognitive potential of the testee is evaluated according to the reaction time, the reaction accuracy and the EEG difference value, and specifically includes:

[0027] According to the weight of the reaction time of the measured object, the weight of the reaction accuracy of the measured object, the weight of the time domain difference of the measured object, the weight of the frequency domain difference of the measured object, the reaction time of the measured object in the test group, the reaction accuracy of the measured object in the test group, the time domain difference of the measured object in the test group, and the frequency domain difference of the measured object in the test group, the cognitive potential ranking of the measured object in the test group is calculated.

[0028] The application also provides a cognitive potential evaluation device, which includes:

[0029] The acquisition module is configured to determine a target behavior paradigm according to the working nature of the testee and the test evaluation target, and acquire a cognitive task conforming to the target behavior paradigm from a behavior scene database, the target behavior paradigm including a plurality of resting states and a plurality of task states.

[0030] The collection module is configured to collect electroencephalogram data of the tested object when the tested object performs the cognitive task, record reaction time and reaction right or wrong of the tested object when the tested object performs the cognitive task, and count reaction accuracy of the tested object when the tested object performs the cognitive task, wherein the electroencephalogram data comprises first data and second data, the first data is electroencephalogram data of the tested object in a resting state of the target behavior paradigm, and the second data is electroencephalogram data of the tested object in a task state of the target behavior paradigm.

[0031] The calculation module is configured to calculate an electroencephalogram difference between the first data and the second data if the reaction accuracy of the tested object when the tested object performs the cognitive task is greater than a preset threshold.

[0032] The evaluation module is configured to evaluate cognitive potential of the tested object according to the reaction time, the reaction accuracy and the electroencephalogram difference.

[0033] Further, the electroencephalogram data is time domain features and / or frequency domain features of electroencephalogram.

[0034] The calculation module is specifically configured to calculate time domain difference between time domain features of electroencephalogram of the tested object in the resting state of the target behavior paradigm and time domain features of electroencephalogram of the tested object in the task state of the target behavior paradigm if the reaction accuracy of the tested object when the tested object performs the cognitive task is greater than the preset threshold.

[0035] And / or,

[0036] The calculation module is specifically configured to calculate frequency domain difference between frequency domain features of electroencephalogram of the tested object in the resting state of the target behavior paradigm and frequency domain features of electroencephalogram of the tested object in the task state of the target behavior paradigm if the reaction accuracy of the tested object when the tested object performs the cognitive task is greater than the preset threshold.

[0037] Further, the calculation module is further configured to include the reaction time into a group database to form a reaction time normal distribution curve, and calculate a quantile of the reaction time of the tested object in a test group, wherein the test group comprises a plurality of tested persons, and the group database comprises reaction time of each tested person when the tested person performs the cognitive task.

[0038] The calculation module is further configured to include the reaction accuracy into the group database to form a reaction accuracy normal distribution curve, and calculate a quantile of the reaction accuracy of the tested object in the test group, wherein the test group comprises a plurality of tested persons, and the group database comprises reaction accuracy of each tested person when the tested person performs the cognitive task.

[0039] incorporate the time domain difference into a group database to form a time domain difference normal distribution curve, and calculate the quantile of the time domain difference of the measured object in a test group, the test group comprising a plurality of testees, and the group database comprising the time domain difference of each of the testees performing the cognitive task;

[0040] incorporate the frequency domain difference into a group database to form a frequency domain difference normal distribution curve, and calculate the quantile of the frequency domain difference of the measured object in a test group, the test group comprising a plurality of testees, and the group database comprising the frequency domain difference of each of the testees performing the cognitive task.

[0041] Further, the evaluation module is specifically configured to calculate the cognitive potential ranking of the measured object in the test group according to the quantile of the reaction time of the measured object in the test group, the quantile of the reaction accuracy of the measured object in the test group, the quantile of the time domain difference of the measured object in the test group, and the quantile of the frequency domain difference of the measured object in the test group.

[0042] Further, the evaluation module is specifically configured to calculate the cognitive potential ranking of the measured object in the test group according to the quantile of the reaction time of the measured object in the test group, the quantile of the reaction accuracy of the measured object in the test group, the quantile of the time domain difference of the measured object in the test group, and the quantile of the frequency domain difference of the measured object in the test group.

[0043] The determination module is configured to determine the weight of the reaction time of the measured object, the weight of the reaction accuracy of the measured object, the weight of the time domain difference of the measured object, and the weight of the frequency domain difference of the measured object according to the working property of the measured object and the test evaluation target;

[0044] The evaluation module is specifically configured to calculate the cognitive potential ranking of the measured object in the test group according to the weight of the reaction time of the measured object, the weight of the reaction accuracy of the measured object, the weight of the time domain difference of the measured object, the weight of the frequency domain difference of the measured object, the quantile of the reaction time of the measured object in the test group, the quantile of the reaction accuracy of the measured object in the test group, the quantile of the time domain difference of the measured object in the test group, and the quantile of the frequency domain difference of the measured object in the test group.

[0045] The present application can obtain the brain resources and brain resource potential mobilized by the testee in performing the cognitive task, and obtain the comprehensive ranking of the testee in the test group based on the behavior data and brain cognitive resource calling, so as to comprehensively evaluate the cognitive potential of the testee. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 A cognitive potential evaluation method flowchart in an embodiment of the present application;

[0047] Figure 2It is a structural schematic diagram of a cognitive potential evaluation device in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application will be clearly and completely described in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0049] The embodiments of the present application provide a cognitive potential evaluation method, as shown in the figure, the method comprises the following steps: Figure 1

[0050] Step 101, according to the working nature of the testee and the test evaluation target, determining a target behavior paradigm, and acquiring a cognitive task conforming to the target behavior paradigm from a behavior scene database.

[0051] Among them, the target behavior paradigm contains multiple resting states and multiple task states.

[0052] Step 102, collecting the electroencephalogram data of the testee when performing the cognitive task, recording the reaction time and reaction right and wrong of the testee when performing the cognitive task, and counting the reaction accuracy of the testee when performing the cognitive task.

[0053] Among them, the electroencephalogram data includes first data and second data, the first data is the electroencephalogram data of the testee in the resting state of the target behavior paradigm, and the second data is the electroencephalogram data of the testee in the task state of the target behavior paradigm.

[0054] Step 103, if the reaction accuracy of the testee when performing the cognitive task is greater than a preset threshold, calculating the electroencephalogram difference value between the first data and the second data.

[0055] Among them, the electroencephalogram data is the time domain feature and / or frequency domain feature of the electroencephalogram.

[0056] Specifically, if the reaction accuracy of the testee when performing the cognitive task is greater than a preset threshold, the time domain difference between the time domain feature of the electroencephalogram of the testee in the resting state of the target behavior paradigm and the time domain feature of the electroencephalogram of the testee in the task state of the target behavior paradigm is calculated.

[0057] And / or,

[0058] ​calculating a frequency domain difference between the frequency domain feature of the electroencephalogram of the tested object in the resting state of the target behavioral paradigm and the frequency domain feature of the electroencephalogram of the tested object in the task state of the target behavioral paradigm.

[0059] In step 104, the cognitive potential of the tested object is evaluated according to the reaction time, the reaction accuracy and the electroencephalogram difference value.

[0060] In the embodiment, after recording the reaction time of the tested object performing the cognitive task, the reaction time can be further included in a group database to form a reaction time normal distribution curve, and the reaction time of the tested object in the test group is calculated, the test group including a plurality of tested persons, and the group database including the reaction time of each tested person performing the cognitive task.

[0061] After the reaction accuracy of the tested object performing the cognitive task is counted, the reaction accuracy can be further included in a group database to form a reaction accuracy normal distribution curve, and the reaction accuracy of the tested object in the test group is calculated, the test group including a plurality of tested persons, and the group database including the reaction accuracy of each tested person performing the cognitive task.

[0062] After the time domain difference between the time domain feature of the electroencephalogram of the tested object in the resting state of the target behavioral paradigm and the time domain feature of the electroencephalogram of the tested object in the task state of the target behavioral paradigm is calculated, the time domain difference can be further included in a group database to form a time domain difference normal distribution curve, and the time domain difference of the tested object in the test group is calculated, the test group including a plurality of tested persons, and the group database including the time domain difference of each tested person performing the cognitive task.

[0063] After the frequency domain difference between the frequency domain feature of the electroencephalogram of the tested object in the resting state of the target behavioral paradigm and the frequency domain feature of the electroencephalogram of the tested object in the task state of the target behavioral paradigm is calculated, the frequency domain difference can be further included in a group database to form a frequency domain difference normal distribution curve, and the frequency domain difference of the tested object in the test group is calculated, the test group including a plurality of tested persons, and the group database including the frequency domain difference of each tested person performing the cognitive task.

[0064] Accordingly, the cognitive potential ranking of the tested object in the test group can be calculated according to the quantile of the reaction time of the tested object in the test group, the quantile of the reaction accuracy of the tested object in the test group, the quantile of the time domain difference of the tested object in the test group, and the quantile of the frequency domain difference of the tested object in the test group.

[0065] In the embodiment, the weight of the reaction time of the tested object, the weight of the reaction accuracy of the tested object, the weight of the time domain difference of the tested object, and the weight of the frequency domain difference of the tested object can also be determined according to the working nature and the test evaluation target of the tested object.

[0066] Accordingly, the cognitive potential ranking of the tested object in the test group can be calculated according to the weight of the reaction time of the tested object, the weight of the reaction accuracy of the tested object, the weight of the time domain difference of the tested object, the weight of the frequency domain difference of the tested object, the quantile of the reaction time of the tested object in the test group, the quantile of the reaction accuracy of the tested object in the test group, the quantile of the time domain difference of the tested object in the test group, and the quantile of the frequency domain difference of the tested object in the test group.

[0067] The embodiment of the present application can obtain the brain power resource and the brain power resource potential mobilized by the tested object in performing the cognitive task, and obtain the comprehensive ranking of the tested object in the test group based on the behavior data and the brain cognitive resource calling, so as to comprehensively evaluate the cognitive potential of the tested object.

[0068] In this embodiment, cognitive potential assessment can be achieved by performing the following steps: constructing a behavioral scenario database, including but not limited to: (1) visuospatial attention: variations of the Posner paradigm, the Simon paradigm, and the Stroop paradigm; (2) working memory: the n-back paradigm; (3) visual search: the Visual Search paradigm; (4) interference test: the Garner paradigm; (5) decision-making test: the Decision Making paradigm and the Risking Decision paradigm; (6) word interference: Superiority paradigm; (7) Mental Rotation paradigm; (8) Game scenario; Based on the nature of the test subject's work and the test evaluation goals, determine the behavioral paradigm to be used in the test. Each behavioral paradigm includes multiple resting states and multiple task states; Start the test, collect the EEG data of the test subject, and record the reaction time and the correctness of the reaction in real time; Calculate the reaction accuracy rate based on the correctness of the reaction; If the reaction accuracy rate is lower than the preset threshold, it means that the test subject has not entered the state or is not suitable for this group, and return to retest or end the test for the subject; If the reaction accuracy rate is not lower than the preset threshold, the reaction time and reaction accuracy rate are included in the group database. This process generates new normal distribution curves for reaction accuracy and reaction time. Based on the reaction time and accuracy of the test subjects, the quantiles of reaction time and accuracy within the group are calculated and converted into percentages. The time-domain and frequency-domain characteristics of the EEG of the test subjects are calculated, and the time-domain and frequency-domain characteristics of the resting state and task state of the EEG are statistically analyzed. Among them, the time-domain characteristics include the amplitude, mean, variance, and kurtosis of the EEG waveform. In the frequency domain, wavelet transform is used, and after multi-level decomposition, wavelet coefficients of 0-8Hz, 8-16Hz, 16-32Hz, 32-64Hz, and 64-128Hz are obtained. The difference between the task state and the resting state corresponding to each characteristic is calculated.

[0069] Cognitive resource theory posits individual differences in cognitive resource reserves, reflected in variations in cognitive abilities. At the individual level, cognitive ability may be positively correlated with brain activation levels. At the group level, when performing cognitive tasks of equal difficulty, individuals with lower cognitive abilities require more cognitive resource activation as compensation to achieve optimal results. This concept forms the core idea of ​​activation compensation theory. Specifically, given the same task performance (e.g., the same accuracy and reaction time), individuals with weaker or smaller brain activation levels when faced with the same cognitive load are considered to have higher cognitive resource reserves because they only need to mobilize fewer neural resources to complete the task. Furthermore, when faced with increased task load or higher reaction intensity requirements, these individuals can mobilize more neural resources to complete high-intensity tasks. Conversely, individuals exhibiting strong brain activation levels in tasks with relatively low cognitive loads are considered to have lower cognitive resource reserves; and when task difficulty increases, these individuals may struggle to mobilize sufficient neural resources to maintain performance, resulting in a decline in task performance. When performing the same cognitive task with comparable performance, people with lower levels of brain activation are considered to have richer cognitive resources and greater cognitive potential.

[0070] Therefore, the corresponding differences between the resting-state "time-domain and frequency-domain characteristics" and the task-state "time-domain and frequency-domain characteristics" are incorporated into the group database to form a new normal distribution curve for "EEG time-domain and frequency-domain differences." When the group reaches a certain size, the differences in various characteristics conform to a normal distribution. Subsequently, based on the "EEG time-domain and frequency-domain differences" of the test subjects, the quantiles of the individuals in the group are calculated and converted into percentages. According to the nature of the test subjects' work and the test evaluation goals, different coefficients are selected to calculate the cognitive potential ranking of the test subjects in the group. By statistically analyzing the comprehensive ranking of the test subjects at different stages, the changes in the cognitive potential of the test subjects after training can be calculated.

[0071] Specifically, based on group test data and the test subject's overall ranking within the group, under specific behaviors:

[0072] (1) Test the accuracy of the test subjects' responses and the individual's ranking in the group;

[0073] (2) Test the reaction time of the test subjects and the individual's ranking in the group reaction time;

[0074] (3) Test the cognitive resource mobilization and activation compensation data of the tested subjects, and the ranking of the cognitive resource mobilization and activation compensation data of the tested subjects in the group;

[0075] (4) Normalize the above three rankings according to a certain proportion to obtain the individual's comprehensive ranking in the group, which is used to assess the cognitive potential of the tested object in the group.

[0076] This invention assesses the cognitive potential of test subjects based on EEG and behavioral paradigms. It can obtain the mental resources and mental resource potential mobilized by the test subjects when performing cognitive tasks, and obtain relevant group data and the test subjects' comprehensive ranking within the group based on behavioral data and brain cognitive resource mobilization. This enables a comprehensive assessment of the test subjects' cognitive potential and allows cognitive potential to be used as reference data in scenarios such as employee onboarding, talent selection, training result evaluation, and personnel work arrangement.

[0077] like Figure 2 The diagram shown is a structural schematic of a cognitive potential assessment device according to an embodiment of the present invention, comprising:

[0078] The acquisition module 210 is used to determine the target behavior paradigm based on the nature of the work of the test object and the test evaluation objectives, and to acquire cognitive tasks that conform to the target behavior paradigm from the behavior scenario database. The target behavior paradigm includes multiple resting states and multiple task states.

[0079] The acquisition module 220 is used to acquire EEG data of the test subject when performing the cognitive task, record the reaction time and correctness of the test subject when performing the cognitive task, and calculate the reaction accuracy rate of the test subject when performing the cognitive task. The EEG data includes first data and second data. The first data is the EEG data of the test subject in the resting state of the target behavior paradigm, and the second data is the EEG data of the test subject in the task state of the target behavior paradigm.

[0080] The calculation module 230 is used to calculate the EEG difference between the first data and the second data if the test subject's response accuracy in performing the cognitive task is greater than a preset threshold.

[0081] Among them, EEG data includes the time-domain and / or frequency-domain characteristics of EEG.

[0082] Specifically, the calculation module 230 is specifically used to calculate the temporal difference between the temporal characteristics of the EEG of the test subject in the resting state of the target behavior paradigm and the temporal characteristics of the EEG of the test subject in the task state of the target behavior paradigm if the test subject's response accuracy in performing the cognitive task is greater than a preset threshold.

[0083] And / or,

[0084] Calculate the frequency domain difference between the frequency domain characteristics of the EEG of the test subject in the resting state of the target behavioral paradigm and the frequency domain characteristics of the EEG of the test subject in the task state of the target behavioral paradigm.

[0085] The assessment module 240 is used to assess the cognitive potential of the test subject based on the reaction time, the reaction accuracy, and the EEG difference.

[0086] In this embodiment, the calculation module 230 is further configured to incorporate the reaction time into the group database, form a normal distribution curve of the reaction time, and calculate the quantile of the reaction time of the test subject in the test group. The test group includes multiple test subjects, and the group database includes the reaction time of each test subject when performing the cognitive task.

[0087] The reaction accuracy rate is incorporated into the group database to form a normal distribution curve of the reaction accuracy rate, and the quantile of the reaction accuracy rate of the test subject in the test group is calculated. The test group includes multiple test subjects, and the group database includes the reaction accuracy rate of each test subject in performing the cognitive task.

[0088] The time-domain differences are incorporated into the group database to form a normal distribution curve of the time-domain differences, and the quantiles of the time-domain differences of the test subjects in the test group are calculated. The test group includes multiple test subjects, and the group database includes the time-domain differences of each test subject in performing the cognitive task.

[0089] The frequency domain differences are incorporated into the group database to form a normal distribution curve of the frequency domain differences, and the quantiles of the frequency domain differences of the tested subjects in the test group are calculated. The test group includes multiple test subjects, and the group database includes the frequency domain differences of each test subject performing the cognitive task.

[0090] Accordingly, the evaluation module 240 is specifically used to calculate the cognitive potential ranking of the test subject in the test group based on the quantile of the test subject's reaction time in the test group, the quantile of the test subject's reaction accuracy in the test group, the quantile of the test subject's time domain difference in the test group, and the quantile of the test subject's frequency domain difference in the test group.

[0091] In this embodiment, the above-mentioned device further includes:

[0092] The determination module is used to determine the weights of the test object's reaction time, reaction accuracy, time-domain differences, and frequency-domain differences based on the test object's working nature and test evaluation objectives.

[0093] Accordingly, the evaluation module 240 is specifically used to calculate the cognitive potential ranking of the test subject in the test group based on the weights of the test subject's reaction time, reaction accuracy, time-domain differences, frequency-domain differences, the quantile of the test subject's reaction time in the test group, the quantile of the test subject's reaction accuracy in the test group, the quantile of the test subject's time-domain differences in the test group, and the quantile of the test subject's frequency-domain differences in the test group.

[0094] This invention assesses the cognitive potential of test subjects based on EEG and behavioral paradigms. It can obtain the mental resources mobilized by the test subjects when performing cognitive tasks and the potential of mental resources. Based on behavioral data and the mobilization of brain cognitive resources, it can obtain the comprehensive ranking of the test subjects within the test group, thereby enabling a comprehensive assessment of the cognitive potential of the test subjects.

[0095] The steps in the methods described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0096] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for assessing cognitive potential, characterized in that, Includes the following steps: Based on the nature of the test subject's work and the test evaluation objectives, a target behavior paradigm is determined, and cognitive tasks that conform to the target behavior paradigm are obtained from a behavior scenario database. The target behavior paradigm includes multiple resting states and multiple task states. The EEG data of the test subject when performing the cognitive task is collected, the reaction time and correctness of the reaction of the test subject when performing the cognitive task are recorded, and the reaction accuracy rate of the test subject when performing the cognitive task is calculated. The EEG data includes first data and second data. The first data is the EEG data of the test subject in the resting state of the target behavior paradigm, and the second data is the EEG data of the test subject in the task state of the target behavior paradigm. If the test subject's response accuracy in performing the cognitive task is greater than a preset threshold, the EEG difference between the first data and the second data is calculated. Based on the nature of the test subject's work and the test evaluation objectives, determine the weights of the test subject's reaction time, reaction accuracy, temporal differences in the test subject's EEG data, and frequency differences in the test subject's EEG data. The cognitive potential of the test subject is assessed based on the reaction time, the reaction accuracy, and the EEG difference, specifically including: The cognitive potential ranking of the test subject in the test group is calculated based on the weights of the test subject's reaction time, reaction accuracy, temporal differences in EEG data, frequency differences in EEG data, quantiles of reaction time, reaction accuracy, temporal differences, and frequency differences in EEG data within the test group.

2. The cognitive potential assessment method as described in claim 1, characterized in that, The EEG data are the time-domain and / or frequency-domain features of the EEG; The calculation of the EEG difference between the first data and the second data specifically includes: Calculate the temporal difference between the time-domain characteristics of the EEG of the test subject in the resting state of the target behavioral paradigm and the time-domain characteristics of the EEG of the test subject in the task state of the target behavioral paradigm; And / or, calculate the frequency domain difference between the frequency domain characteristics of the EEG of the test subject in the resting state of the target behavioral paradigm and the frequency domain characteristics of the EEG of the test subject in the task state of the target behavioral paradigm.

3. The cognitive potential assessment method as described in claim 2, characterized in that, After recording the reaction time of the test subject performing the cognitive task, the method further includes: The reaction time is incorporated into a group database to form a normal distribution curve of the reaction time, and the quantile of the reaction time of the test subject in the test group is calculated. The test group includes multiple test subjects, and the group database includes the reaction time of each test subject when performing the cognitive task. After calculating the accuracy rate of the test subjects' responses to the cognitive task, the method further includes: The reaction accuracy is incorporated into the group database to form a normal distribution curve of the reaction accuracy, and the quantile of the reaction accuracy of the test subject in the test group is calculated. The test group includes multiple test subjects, and the group database includes the reaction accuracy of each test subject in performing the cognitive task. After calculating the temporal difference between the temporal characteristics of the test subject's EEG in the resting state of the target behavioral paradigm and the temporal characteristics of the test subject's EEG in the task state of the target behavioral paradigm, the method further includes: The time-domain differences are incorporated into the group database to form a normal distribution curve of the time-domain differences, and the quantile of the time-domain differences of the EEG data of the test subjects in the test group is calculated. The test group includes multiple test subjects, and the group database includes the time-domain differences of each test subject performing the cognitive task. After calculating the frequency domain difference between the frequency domain characteristics of the test subject's EEG in the resting state of the target behavioral paradigm and the frequency domain characteristics of the test subject's EEG in the task state of the target behavioral paradigm, the method further includes: The frequency domain differences are incorporated into a group database to form a normal distribution curve of the frequency domain differences, and the quantiles of the frequency domain differences of the EEG data of the test subjects in the test group are calculated. The test group includes multiple test subjects, and the group database includes the frequency domain differences of each test subject performing the cognitive task.

4. A cognitive potential assessment device, characterized in that, include: The acquisition module is used to determine the target behavior paradigm based on the work nature of the test object and the test evaluation objectives, and to acquire cognitive tasks that conform to the target behavior paradigm from the behavior scenario database. The target behavior paradigm includes multiple resting states and multiple task states. The acquisition module is used to acquire EEG data of the test subject when performing the cognitive task, record the reaction time and correctness of the test subject when performing the cognitive task, and calculate the reaction accuracy rate of the test subject when performing the cognitive task. The EEG data includes first data and second data. The first data is the EEG data of the test subject in the resting state of the target behavior paradigm, and the second data is the EEG data of the test subject in the task state of the target behavior paradigm. The calculation module is used to calculate the EEG difference between the first data and the second data if the test subject's response accuracy in performing the cognitive task is greater than a preset threshold. The determination module determines the weights of the test subject's reaction time, reaction accuracy, temporal differences in the test subject's EEG data, and frequency differences in the test subject's EEG data, based on the test subject's work nature and test evaluation objectives. The evaluation module is specifically used to calculate the cognitive potential ranking of the test subject in the test group based on the weights of the test subject's reaction time, reaction accuracy, temporal differences in the test subject's EEG data, frequency differences in the test subject's EEG data, the quantile of the test subject's reaction time in the test group, the quantile of the test subject's reaction accuracy in the test group, the quantile of the test subject's temporal differences in the test group, and the quantile of the test subject's frequency differences in the test group.

5. The cognitive potential assessment device as described in claim 4, characterized in that, The EEG data are the time-domain and / or frequency-domain features of the EEG; The calculation module is specifically used to calculate the temporal difference between the temporal characteristics of the EEG of the test subject in the resting state of the target behavior paradigm and the temporal characteristics of the EEG of the test subject in the task state of the target behavior paradigm if the test subject's response accuracy in performing the cognitive task is greater than a preset threshold. And / or, calculate the frequency domain difference between the frequency domain characteristics of the EEG of the test subject in the resting state of the target behavioral paradigm and the frequency domain characteristics of the EEG of the test subject in the task state of the target behavioral paradigm.

6. The cognitive potential assessment device as described in claim 5, characterized in that, The calculation module is also used to incorporate the reaction time into the group database, form a normal distribution curve of the reaction time, and calculate the quantile of the test subject's reaction time in the test group. The test group includes multiple test subjects, and the group database includes the reaction time of each test subject when performing the cognitive task. The reaction accuracy is incorporated into the group database to form a normal distribution curve of the reaction accuracy, and the quantile of the reaction accuracy of the test subject in the test group is calculated. The test group includes multiple test subjects, and the group database includes the reaction accuracy of each test subject in performing the cognitive task. The time-domain differences are incorporated into the group database to form a normal distribution curve of the time-domain differences, and the quantile of the time-domain differences of the EEG data of the test subjects in the test group is calculated. The test group includes multiple test subjects, and the group database includes the time-domain differences of each test subject performing the cognitive task. The frequency domain differences are incorporated into a group database to form a normal distribution curve of the frequency domain differences, and the quantiles of the frequency domain differences of the EEG data of the test subjects in the test group are calculated. The test group includes multiple test subjects, and the group database includes the frequency domain differences of each test subject performing the cognitive task.

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