Cognitive function evaluation method and device, electronic equipment and readable storage medium
By polling multi-dimensional cognitive problems and combining eye movement data and evaluation scores, the problem of inaccurate cognitive impairment assessment in the prior art is solved, and more efficient and accurate cognitive function evaluation and grading are achieved.
Patent Information
- Application Number
- CN202411994263.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-05-02
AI Technical Summary
The prior art has shortcomings in judging the severity and classification of brain cognitive impairments, especially the difficulty in accurately evaluating cognitive function through eye tracking methods.
By polling and displaying multi-dimensional cognitive questions, and combining the initial eye movement data, cognitive evaluation scores and preset case database of the object to be tested, effective eye movement data and cognitive evaluation grading results are determined to achieve evaluation and grading of cognitive functions.
Improves the accuracy of cognitive assessment, enables more efficient assessment and classification of cognitive impairments, and provides more detailed cognitive score heatmaps and data analysis support.
Smart Images
Figure CN119908661A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of artificial intelligence technology, and in particular to a cognitive function assessment method, device, electronic device and readable storage medium. Background Art
[0002] In the diagnosis of cognitive disorders, people usually use paper medical scales and combine them with the experience of clinicians, and then use magnetic resonance imaging (MRI) and in vitro diagnosis (IVD) to diagnose cognitive disorders. With the development of science and technology, especially the gradual improvement of intelligent facial recognition or eye movement and pupil recognition technology, there are related schemes that use eye trackers to determine whether cognitive disorders exist in the clinic. At present, existing schemes often use eye trackers to determine whether there is cognitive disorder in the clinic, but there are obvious deficiencies in the severity and classification of cognitive disorders. Summary of the invention
[0003] In order to solve the above technical problems, the embodiments of the present application provide a cognitive function assessment method, device, electronic device and readable storage medium.
[0004] In a first aspect, an embodiment of the present application provides a method for evaluating cognitive function, the method comprising:
[0005] The multi-dimensional cognitive questions are displayed in a round-robin manner, and the cognitive assessment scores of the subjects under each dimensional cognitive question are recorded;
[0006] In the process of polling and displaying the multi-dimensional cognitive questions, collecting initial eye movement data of the subject to be tested;
[0007] Determining valid eye movement data from the initial eye movement data according to a preset screening condition;
[0008] The cognitive assessment grading result of the subject to be tested is obtained according to the effective eye movement data, each cognitive assessment score and a preset case database.
[0009] In one embodiment, the polling and displaying of the multi-dimensional cognitive questions and recording of the cognitive assessment scores of the subject under each dimensional cognitive question include:
[0010] Respectively displaying the preset quantity cognition questions under each dimension cognition question, and recording the answer results of the subject to be tested under each dimension cognition question;
[0011] If the answer results are all correct, then the cognitive assessment score under each dimension cognitive question is obtained according to the answer results;
[0012] If the answer result includes at least one wrong result, a revised question is determined from the remaining cognitive questions under each dimension cognitive question, the revised question is displayed, and the answer result of the subject to be tested to the revised question is recorded;
[0013] The cognitive assessment scores for the cognitive questions of each dimension are obtained according to the answer results of the revised questions.
[0014] In one embodiment, the preset case database includes an expected cognitive database, and the step of obtaining the cognitive assessment grading result of the subject to be tested according to the effective eye movement data, each cognitive assessment score and the preset case database includes:
[0015] Determining whether the valid eye movement data and each of the cognitive assessment scores match the expected eye movement data and the expected cognitive assessment scores in the expected cognitive database;
[0016] If they match, it is determined that the subject to be tested is at a normal cognitive level.
[0017] In one embodiment, the preset case database includes an abnormal case database, and the cognitive assessment grading result of the subject to be tested is obtained according to the valid eye movement data, each cognitive assessment score and the preset case database, further comprising:
[0018] If there is no match, the valid eye movement data and each cognitive assessment score are compared with the abnormal case database to obtain the cognitive abnormality probability of the subject to be tested;
[0019] The cognitive abnormality level of the subject to be tested is determined according to the cognitive abnormality probability.
[0020] In one embodiment, the method further comprises:
[0021] Generating a cognitive score heat map of the subject to be tested according to the cognitive assessment scores under each dimension of cognitive questions;
[0022] The answer results under each dimension cognitive question are stored in the preset case database, and the data index table of the preset case database is updated.
[0023] In one embodiment, determining valid eye movement data from the initial eye movement data according to a preset screening condition includes:
[0024] The eye movement data in which the interval time of eye movement changes in the initial eye movement data is greater than or equal to the preset cognitive perception time is determined as the valid eye movement data.
[0025] In one embodiment, the polling and displaying of multi-dimensional cognitive questions includes:
[0026] Constructing a 3D cognitive assessment scenario, and setting multi-dimensional cognitive questions according to the 3D cognitive assessment scenario;
[0027] The 3D cognitive assessment scene is displayed, and the multi-dimensional cognitive questions are displayed in the 3D cognitive assessment scene in a polling manner.
[0028] In a second aspect, an embodiment of the present application provides a cognitive function assessment device, the device comprising:
[0029] The processing module is used to poll and display the multi-dimensional cognitive questions and record the cognitive assessment scores of the subjects under each dimensional cognitive question;
[0030] A collection module, used for collecting the initial eye movement data of the subject to be tested during the process of polling and displaying the multi-dimensional cognitive questions;
[0031] A determination module, used for determining valid eye movement data from the initial eye movement data according to a preset screening condition;
[0032] The acquisition module is used to acquire the cognitive assessment grading result of the subject to be tested according to the effective eye movement data, each cognitive assessment score and a preset case database.
[0033] In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and when the computer program is run by the processor, the method for evaluating cognitive functions provided in the first aspect is executed.
[0034] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, which, when running on a processor, executes the cognitive function assessment method provided in the first aspect.
[0035] The cognitive function assessment method, device, electronic device and readable storage medium provided in the present application above perform polling and display of multi-dimensional cognitive questions, and record the cognitive assessment scores of the subject to be tested under each dimensional cognitive question; in the process of polling and displaying the multi-dimensional cognitive questions, the initial eye movement data of the subject to be tested is collected; valid eye movement data is determined from the initial eye movement data according to preset screening conditions; the cognitive assessment grading result of the subject to be tested is obtained according to the valid eye movement data, each of the cognitive assessment scores and a preset case database, and combined with the real-time eye movement data of the subject to be tested when answering the cognitive questions, as well as the answer results to the multi-dimensional cognitive questions, it is possible to implement a graded assessment of the cognitive ability of the subject to be tested and improve the accuracy of the cognitive assessment. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present application and should not be regarded as limiting the scope of protection of the present application. In each of the drawings, similar components are numbered similarly.
[0037] Figure 1 A schematic diagram of a process of a cognitive function assessment method provided in an embodiment of the present application is shown;
[0038] Figure 2 Another schematic diagram of the process of the cognitive function assessment method provided in an embodiment of the present application is shown;
[0039] Figure 3 Another schematic diagram of a process of the cognitive function assessment method provided in an embodiment of the present application is shown;
[0040] Figure 4 A schematic diagram of the structure of a cognitive function assessment device provided in an embodiment of the present application is shown.
[0041] Icons: 400 - cognitive function assessment device, 401 - processing module, 402 - acquisition module, 403 - determination module, 404 - acquisition module. DETAILED DESCRIPTION
[0042] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction 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 of the embodiments.
[0043] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.
[0044] Hereinafter, the terms "including", "having" and their cognates, which may be used in various embodiments of the present application, are intended only to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing items or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations of the foregoing items.
[0045] Furthermore, the terms “first”, “second”, “third”, etc. are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.
[0046] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as those generally understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meanings as the contextual meanings in the relevant technical field and will not be interpreted as having idealized meanings or overly formal meanings unless clearly defined in the various embodiments of the present application.
[0047] Example 1
[0048] The embodiment of the present application provides a cognitive function assessment method, which combines the eye movement data of the subject and the answer results to cognitive questions to achieve a graded assessment of the cognitive ability of the subject and improve the accuracy of cognitive assessment.
[0049] See also Figure 1 , cognitive function assessment methods include:
[0050] Step S101 , polling and displaying multi-dimensional cognitive questions, and recording the cognitive assessment score of the subject under each dimensional cognitive question.
[0051] In this embodiment, multi-dimensional cognitive questions can be displayed in conjunction with a computer display screen, and the multi-dimensional cognitive questions can be displayed in a polling manner in the form of a graphical interface. The brain cognitive system includes multi-dimensional cognition such as visual memory (short-term memory, instantaneous memory, historical memory), visual perception, logical ability from vision to the frontal layer of the brain, and brain cognitive operations. Therefore, corresponding graphic cases can be designed for cognition such as memory, logic, operation, perception, and action as multi-dimensional cognitive questions. When polling and displaying multi-dimensional cognitive questions, the computer also obtains the input operation of the object to be tested, and determines and records the cognitive evaluation score of the object to be tested under each dimensional cognitive question based on the input operation.
[0052] See also Figure 2 , step S101 includes:
[0053] Step S1011, respectively displaying the preset quantity cognition questions under each dimension cognition question, and recording the answer results of the subject under each dimension cognition question.
[0054] It can be understood that multi-dimensional cognitive questions can be stored in a visual question database, which includes visual memory questions, visual perception questions, visual calculation questions, visual action questions and visual logic questions, wherein visual memory questions can include instantaneous memory questions, short-term memory questions and historical memory questions, visual perception questions can include object perception questions, space perception questions and sound perception questions, visual calculation questions can include digital calculation questions and speed calculation questions, visual action questions can include facial action analysis questions, and visual logic questions include color judgment logic questions, reasoning logic questions and visual prediction logic questions. The preset number can be at least 2, for example, the preset number is 2, for visual memory questions, 2 instantaneous memory questions are displayed first, if the subject answers correctly, 2 short-term memory questions are displayed, and the test continues. If the subject answers incorrectly, 2 instantaneous memory questions are displayed again from the remaining instantaneous memory questions, and the cognitive test continues.
[0055] Step S1012: If the answer results are all correct results, the cognitive assessment score under each dimensional cognitive question is obtained according to the answer results.
[0056] Step S1013, if the answer result includes at least one wrong result, a revised question is determined from the remaining cognitive questions under each dimensional cognitive question, the revised question is displayed, and the answer result of the subject to be tested to the revised question is recorded.
[0057] Step S1014, obtaining cognitive assessment scores for cognitive questions of each dimension according to the answer results of the revised questions.
[0058] For example, two cognitive questions are displayed for each dimension. If the subjects' answers to the two cognitive questions for each dimension are all correct, the dimension is evaluated and a cognitive evaluation score is obtained based on the subjects' answers. If the subjects' answers to both cognitive questions are incorrect, the dimension is evaluated and no score is given for the dimension. If the subjects' answers to the two cognitive questions are both wrong, a correction question for the dimension is added and the score for the dimension is determined based on the result of the correction question.
[0059] In this embodiment, the polling and displaying of multi-dimensional cognitive questions in step S101 includes:
[0060] A 3D cognitive assessment scenario is constructed, and multi-dimensional cognitive questions are set according to the 3D cognitive assessment scenario.
[0061] The 3D cognitive assessment scene is displayed, and the multi-dimensional cognitive questions are displayed in the 3D cognitive assessment scene in a polling manner.
[0062] For example, corresponding 3D cognitive assessment scenarios are constructed for the five dimensions of visual memory, visual perception, visual calculation, visual action, and visual logic to improve the polling display effect in the corresponding dimensions.
[0063] In this embodiment, VR / AR technology can be used to support 3D scenes. By constructing a 3D cognitive assessment scene, the visual questions of the multi-dimensional cognitive questions are also constructed in 3D virtual form so as to be suitable for the 3D virtual scene, and the multi-dimensional cognitive questions with 3D virtual effects are displayed, thereby improving the interactive effect in the cognitive assessment process.
[0064] Step S102, collecting initial eye movement data of the subject to be tested during the process of polling and displaying the multi-dimensional cognitive questions.
[0065] In this embodiment, the eye tracker collects the initial eye movement data of the subject, and the initial eye movement data includes eye movement position, pupil position data, interval time of eye movement position change, etc. The collection frequency can be set, and the eye tracker collects the eye movement data of the subject according to the preset collection frequency. For example, the preset collection frequency is 120HZ, that is, the eye tracker collects 120 eye movement data every 1 minute.
[0066] It should be noted that the time period for collecting eye movement data is determined according to the display time of the multidimensional cognitive questions. In this way, the collected eye movement data can provide real-time and true feedback on the actual eye condition of the subject when facing the multidimensional cognitive questions, thereby improving the accuracy of the eye movement data.
[0067] The eye movement data obtained are selected according to the time period defined by the control center.
[0068] Step S103, determining valid eye movement data from the initial eye movement data according to a preset screening condition.
[0069] In this embodiment, preset filtering conditions can be set according to the brain nerve sensory reaction rules. For example, preset filtering conditions can be set according to the brain nerve perception time and the brain nerve sensory logic.
[0070] In one embodiment, step S103 includes:
[0071] The eye movement data in which the interval time of eye movement changes in the initial eye movement data is greater than or equal to the preset cognitive perception time is determined as the valid eye movement data.
[0072] Exemplarily, the preset cognitive perception time may be 150ms, or may be other time values set according to the brain perception time, which is not limited here. The computer obtains eye movement data in real time, and analyzes the real-time eye movement data and the real-time cognitive assessment scores under each dimension of cognitive questions.
[0073] Step S104, obtaining the cognitive assessment grading result of the subject to be tested according to the valid eye movement data, each cognitive assessment score and a preset case database.
[0074] In this embodiment, by combining eye movement data and cognitive assessment scores of various dimensions, the accuracy of cognitive assessment grading is relatively high, which can support the screening and diagnosis of brain cognitive diseases. For the aging population, brain cognitive cycle screening, physical examinations, and classification or typing of cognitive function diseases in hospitals all provide direct medical auxiliary diagnosis support.
[0075] In one embodiment, the preset case database includes an expected cognition database, and step S104 includes:
[0076] Determine whether the valid eye movement data and each cognitive assessment score match the expected eye movement data and expected cognitive assessment score in the expected cognitive database; if they match, determine that the subject to be tested is at a normal cognitive level.
[0077] In this embodiment, a high-frequency graphics processor (Graphics Processing Unit, GPU) can be used to determine whether the valid eye movement data and each cognitive assessment score match the expected eye movement data and expected cognitive assessment score in the expected cognitive database, thereby improving processing efficiency.
[0078] In one embodiment, the preset case database includes an abnormal case database, and step S104 further includes:
[0079] If there is no match, the valid eye movement data and each cognitive assessment score are compared with the abnormal case database respectively to obtain the cognitive abnormality probability of the subject to be tested; and the cognitive abnormality level of the subject to be tested is determined according to the cognitive abnormality probability.
[0080] In this embodiment, the GPU can be used to compare the valid eye movement data and each cognitive assessment score with the abnormal cases in the abnormal case database, and calculate the similarity between the valid eye movement data, each cognitive assessment score and each abnormal case, and use the highest similarity as the cognitive abnormality probability of the object to be tested, and use the cognitive abnormality level of the abnormal case corresponding to the highest similarity as the cognitive abnormality level of the object to be tested.
[0081] See also Figure 3 , the cognitive function assessment method also includes:
[0082] Step S105, generating a cognitive score heat map of the subject to be tested according to the cognitive assessment scores under the cognitive questions of each dimension.
[0083] In this way, the cognitive score heat map can visualize the scores of the subjects, making it easier for other people to evaluate the cognitive status of the subjects.
[0084] Step S106, storing the answer results under each dimension cognitive question into the preset case database, and updating the data index table of the preset case database.
[0085] In this way, the preset case database can be updated to improve the richness of the preset case database. After the data index table of the preset case database is updated, when searching the preset case database, each case can be searched through the data index table to improve the search efficiency.
[0086] For example, the test scenario of the subject is as follows: the subject is located in front of the computer display screen, and the computer polls and displays multi-dimensional cognitive questions. During the display of the questions, the collection time of the eye tracker is set according to the display time of the questions to ensure that the eye change data of the subject in the process of viewing and answering the questions can be collected by the eye tracker in real time. The eye tracker sends the collected initial eye movement data to the computer in real time. The computer screens all the initial eye movement data according to the interval time of eye movement changes, and determines the eye movement data with an interval time of eye movement changes greater than or equal to the preset cognitive perception time as valid eye movement data, discards the eye movement data with an interval time of eye movement changes less than the preset cognitive perception time, and re-collects the eye movement data. At the same time, the computer obtains the answers of the subject, obtains the cognitive assessment scores corresponding to the cognitive questions of each dimension, and combines the expected cognitive database to determine whether the subject meets expectations. If it meets expectations (that is, the subject to be tested is at a normal cognitive level), a cognitive score heat map of the subject is generated, and the answer data of the subject is stored in the expected cognitive database, and the data index table of the expected cognitive database is refreshed. If it does not meet expectations (i.e. the subject to be tested is not at a normal cognitive level), big data analysis is performed in conjunction with the abnormal case database (also called the case database) to determine the cognitive abnormality level of the subject to be tested, and the answer data of the subject to be tested and the probability of cognitive abnormality are stored in the abnormal case database, and the data index table of the abnormal case database is refreshed, which can realize a graded assessment of the cognitive ability of the subject to be tested, improve the accuracy of cognitive assessment, and realize comprehensive automated processing of cognitive assessment, saving the investment and cost of human resources.
[0087] The cognitive function assessment method provided in the present embodiment performs polling and displaying of multi-dimensional cognitive questions, and records the cognitive assessment scores of the subject to be tested under each dimensional cognitive question; in the process of polling and displaying the multi-dimensional cognitive questions, the initial eye movement data of the subject to be tested is collected; valid eye movement data is determined from the initial eye movement data according to preset screening conditions; the cognitive assessment grading result of the subject to be tested is obtained according to the valid eye movement data, each of the cognitive assessment scores and a preset case database, and combined with the real-time eye movement data of the subject to be tested when answering the cognitive questions, and the answer results to the cognitive questions, it is possible to implement a graded assessment of the cognitive ability of the subject to be tested and improve the accuracy of the cognitive assessment.
[0088] Example 2
[0089] In addition, an embodiment of the present application provides a cognitive function assessment device.
[0090] like Figure 4 As shown, the cognitive function assessment device 400 includes:
[0091] Processing module 401, used to poll and display multi-dimensional cognitive questions and record the cognitive assessment score of the subject under each dimensional cognitive question;
[0092] The acquisition module 402 is used to acquire the initial eye movement data of the subject to be tested during the process of polling and displaying the multi-dimensional cognitive questions;
[0093] A determination module 403, configured to determine valid eye movement data from the initial eye movement data according to a preset screening condition;
[0094] The acquisition module 404 is used to acquire the cognitive assessment grading result of the subject to be tested according to the effective eye movement data, each cognitive assessment score and a preset case database.
[0095] In one embodiment, the processing module 401 is further used to display the preset quantity cognition questions under each dimension cognition question, and record the answer results of the subject under each dimension cognition question;
[0096] If the answer results are all correct, then the cognitive assessment score under each dimension cognitive question is obtained according to the answer results;
[0097] If the answer result includes at least one wrong result, a revised question is determined from the remaining cognitive questions under each dimension cognitive question, the revised question is displayed, and the answer result of the subject to be tested to the revised question is recorded;
[0098] The cognitive assessment scores for the cognitive questions of each dimension are obtained according to the answer results of the revised questions.
[0099] In one embodiment, the preset case database includes an expected cognitive database, and the acquisition module 404 is further used to determine whether the valid eye movement data and each of the cognitive assessment scores match the expected eye movement data and the expected cognitive assessment score in the expected cognitive database;
[0100] If they match, it is determined that the subject to be tested is at a normal cognitive level.
[0101] In one embodiment, the preset case database includes an abnormal case database, and the acquisition module 404 is further used to compare the valid eye movement data and each of the cognitive assessment scores with the abnormal case database respectively if there is no match, to obtain the cognitive abnormality probability of the subject to be tested;
[0102] The cognitive abnormality level of the subject to be tested is determined according to the cognitive abnormality probability.
[0103] In one embodiment, the cognitive function assessment device 400 comprises:
[0104] A generation module, used to generate a cognitive score heat map of the subject to be tested according to the cognitive assessment scores under the cognitive questions of each dimension;
[0105] The storage module is used to store the answer results under each dimension cognitive question into the preset case database and update the data index table of the preset case database.
[0106] In one embodiment, the determination module 403 is further configured to determine the eye movement data in the initial eye movement data, whose eye movement change interval time is greater than or equal to the preset cognitive perception time, as valid eye movement data.
[0107] In one embodiment, the processing module 401 is further used to construct a 3D cognitive assessment scene, and set multi-dimensional cognitive questions according to the 3D cognitive assessment scene;
[0108] The 3D cognitive assessment scene is displayed, and the multi-dimensional cognitive questions are displayed in the 3D cognitive assessment scene in a polling manner.
[0109] The cognitive function assessment device 400 provided in this embodiment can implement the cognitive function assessment method provided in Embodiment 1, and will not be described again here to avoid repetition.
[0110] The cognitive function assessment device provided in this embodiment polls and displays multi-dimensional cognitive questions, and records the cognitive assessment scores of the subject to be tested under each dimensional cognitive question; in the process of polling and displaying the multi-dimensional cognitive questions, the initial eye movement data of the subject to be tested is collected; valid eye movement data is determined from the initial eye movement data according to preset screening conditions; the cognitive assessment grading result of the subject to be tested is obtained according to the valid eye movement data, each of the cognitive assessment scores and a preset case database, and combined with the real-time eye movement data of the subject to be tested when answering the cognitive questions and the answer results to the cognitive questions, it is possible to implement a graded assessment of the cognitive ability of the subject to be tested and improve the accuracy of the cognitive assessment.
[0111] Example 3
[0112] In addition, an embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program runs on the processor, the cognitive function assessment method provided in Example 1 is executed.
[0113] The electronic device provided in this embodiment can implement the cognitive function assessment method provided in Embodiment 1, and will not be described again here to avoid repetition.
[0114] Example 4
[0115] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the cognitive function assessment method provided in Example 1 is implemented.
[0116] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0117] The computer-readable storage medium provided in this embodiment can implement the cognitive function assessment method provided in Example 1, and will not be described again here to avoid repetition.
[0118] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.
[0119] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.
[0120] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.
Claims
1. A method for evaluating cognitive function, characterized in that: The method comprises: The multi-dimensional cognitive questions are displayed in a round-robin manner, and the cognitive assessment scores of the subjects under each dimensional cognitive question are recorded; In the process of polling and displaying the multi-dimensional cognitive questions, collecting initial eye movement data of the subject to be tested; Determining valid eye movement data from the initial eye movement data according to a preset screening condition; The cognitive assessment grading result of the subject to be tested is obtained according to the effective eye movement data, each cognitive assessment score and a preset case database.
2. The method according to claim 1, characterized in that The polling and displaying of the multi-dimensional cognitive questions and recording of the cognitive assessment scores of the tested subject under each dimensional cognitive question include: Respectively displaying the preset quantity cognition questions under each dimension cognition question, and recording the answer results of the subject to be tested under each dimension cognition question; If the answer results are all correct, then the cognitive assessment score under each dimension cognitive question is obtained according to the answer results; If the answer result includes at least one wrong result, determining a revised question from the remaining cognitive questions under each dimension cognitive question, displaying the revised question, and recording the answer result of the subject to be tested to the revised question; The cognitive assessment scores for the cognitive questions of each dimension are obtained according to the answer results of the revised questions.
3. The method according to claim 1, characterized in that The preset case database includes an expected cognitive database, and the step of obtaining the cognitive assessment grading result of the subject to be tested according to the effective eye movement data, each cognitive assessment score and the preset case database includes: Determining whether the valid eye movement data and each of the cognitive assessment scores match the expected eye movement data and the expected cognitive assessment scores in the expected cognitive database; If they match, it is determined that the subject to be tested is at a normal cognitive level.
4. The method according to claim 3, characterized in that The preset case database includes an abnormal case database, and the cognitive assessment grading result of the subject to be tested is obtained according to the valid eye movement data, each cognitive assessment score and the preset case database, and further includes: If there is no match, the valid eye movement data and each cognitive assessment score are compared with the abnormal case database to obtain the cognitive abnormality probability of the subject to be tested; The cognitive abnormality level of the subject to be tested is determined according to the cognitive abnormality probability.
5. The method according to claim 3, characterized in that: The method further comprises: Generating a cognitive score heat map of the subject to be tested according to the cognitive assessment scores under each dimension of cognitive questions; The answer results under each dimension cognitive question are stored in the preset case database, and the data index table of the preset case database is updated.
6. The method according to claim 1, characterized in that Determining valid eye movement data from the initial eye movement data according to a preset screening condition includes: The eye movement data in which the interval time of eye movement changes in the initial eye movement data is greater than or equal to the preset cognitive perception time is determined as the valid eye movement data.
7. The method according to claim 1, characterized in that The polling and displaying of multi-dimensional cognitive questions includes: Constructing a 3D cognitive assessment scenario, and setting multi-dimensional cognitive questions according to the 3D cognitive assessment scenario; The 3D cognitive assessment scene is displayed, and the multi-dimensional cognitive questions are displayed in the 3D cognitive assessment scene in a polling manner.
8. A cognitive function assessment device, characterized in that: The device comprises: The processing module is used to poll and display the multi-dimensional cognitive questions and record the cognitive assessment scores of the subjects under each dimensional cognitive question; A collection module, used for collecting the initial eye movement data of the subject to be tested during the process of polling and displaying the multi-dimensional cognitive questions; A determination module, used for determining valid eye movement data from the initial eye movement data according to a preset screening condition; The acquisition module is used to acquire the cognitive assessment grading result of the subject to be tested according to the effective eye movement data, each cognitive assessment score and a preset case database.
9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for evaluating cognitive function according to any one of claims 1 to 7 is executed.
10. A computer-readable storage medium, characterized in that: The computer program stores a computer program, which executes the cognitive function assessment method according to any one of claims 1 to 7 when running on a processor.