Old people cognition screening method, device and equipment and storage medium

Abstract

The invention discloses an old people cognition screening method and device, equipment and a storage medium, and relates to the technical field of data processing, and the old people cognition screening method comprises the steps: determining a cognition screening applet related to old people cognition screening in a user side, obtaining cognition self-evaluation question data corresponding to a test type in a management platform, according to each evaluation page, obtaining a selection parameter input by the user for the displayed evaluation page, and determining the reaction time of the selection parameter input by the user; the selection parameters and the reaction time corresponding to each test type are sent to a management platform, the management platform inputs all the selection parameters and the reaction time to a machine learning model, and an old people cognitive self-evaluation result is obtained; and receiving an old people cognitive self-evaluation result fed back by the management platform, and outputting and displaying the old people cognitive self-evaluation result. According to the invention, the efficiency and accuracy of cognitive assessment of old people are improved.

Description

Technical Field

[0001] The present application relates to a specific field of data processing technology, and in particular to methods, devices, equipment and storage media for cognitive screening of the elderly. Background Art

[0002] Cognitive function is the intelligent processing process of the body to recognize and acquire knowledge, involving a series of psychological and social behaviors such as learning, memory, language, thinking, spirit, emotion, etc. Cognitive impairment in the elderly refers to varying degrees of cognitive impairment caused by various reasons, involving one or more cognitive domains such as orientation, memory, calculation, attention, language function, executive function, reasoning function and visual-spatial function, which can affect the patient's social function and quality of life to varying degrees, and even lead to death in severe cases. The prevalence of cognitive impairment in the elderly continues to increase with age. Most cognitive impairments usually have a hidden onset and progress slowly. Once they progress to the dementia stage, they are difficult to treat. Therefore, conducting cognitive health screening to detect cognitive impairment early is the key to the prevention and treatment of cognitive impairment-related diseases.

[0003] At present, clinical cognitive function assessment is mainly conducted face-to-face by trained professionals, which consumes manpower and training costs, and is prone to subjectivity in scoring and interpretation. At the same time, the assessment results are easily affected by multiple factors such as cultural differences, language, education level, environment, and the professional level of the assessor. Traditional paper-and-pencil tests usually only consider the final score and do not evaluate the testing process, which may miss the opportunity to capture the early symptoms of subtle cognitive impairment. Therefore, how to improve the efficiency and accuracy of cognitive assessment in the elderly has become an urgent problem to be solved.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, equipment and storage medium for cognitive screening of the elderly, aiming to solve the technical problem of how to improve the efficiency and accuracy of cognitive assessment of the elderly.

[0006] To achieve the above purpose, the present application proposes a method for elderly cognitive screening, which is applied to a user terminal connected to a management platform, and the method includes: When the cognitive screening applet related to cognitive screening for the elderly is triggered, determining the type of test to be performed for the cognitive self-assessment of the elderly, wherein the test type includes at least one of a visual-spatial function test, an immediate memory test, an object recognition ability test, an abstract ability test, and an executive ability test; Acquire cognitive self-assessment question data corresponding to the test type in the management platform, generate an evaluation page corresponding to the test type based on the cognitive self-assessment question data, and display the evaluation page; For each evaluation page, obtaining selection parameters input by the user for the displayed evaluation page, and determining a reaction time for the user to input the selection parameters; Send the selection parameters and reaction time corresponding to each test type to the management platform, where the management platform inputs all selection parameters and reaction times into a preset machine learning model to obtain the cognitive self-assessment results of the elderly, and feeds back the cognitive self-assessment results of the elderly to the user end; Receive the cognitive self-assessment results of the elderly fed back by the management platform, and output and display the cognitive self-assessment results of the elderly.

[0007] In addition, to achieve the above purpose, the present application also proposes a cognitive screening device for the elderly, which is arranged at a user end connected to the management platform, and includes: A determination module, for determining the type of test to be performed on the elderly cognitive self-assessment when the cognitive screening applet related to the elderly cognitive screening is triggered, wherein the test type includes at least one of a visual-spatial function test, an immediate memory test, an object recognition ability test, an abstract ability test, and an executive ability test; A generation module is used to obtain cognitive self-assessment question data corresponding to the test type in the management platform, generate an evaluation page corresponding to the test type based on the cognitive self-assessment question data, and display the evaluation page; An acquisition module, for acquiring, for each evaluation page, selection parameters input by the user for the displayed evaluation page, and determining a reaction time for the user to input the selection parameters; A sending module is used to send the selection parameters and reaction time corresponding to each test type to the management platform, wherein the management platform inputs all the selection parameters and reaction time into a preset machine learning model to obtain the cognitive self-assessment results of the elderly, and feeds back the cognitive self-assessment results of the elderly to the user end; The display module is used to receive the cognitive self-assessment results of the elderly fed back by the management platform, and output and display the cognitive self-assessment results of the elderly.

[0008] In addition, to achieve the above-mentioned purpose, the present application also proposes a cognitive screening device for the elderly, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the cognitive screening method for the elderly as described above.

[0009] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the elderly cognitive screening method as described above are implemented.

[0010] In the embodiment of the present application, the user end is connected to the management platform, and the user end determines the type of test to be performed on the cognitive self-assessment of the elderly when the cognitive screening applet related to the cognitive screening of the elderly is triggered, such as at least one of the visual-spatial function test, the immediate memory test, the object cognitive ability test, the abstract ability test and the execution ability test. And the cognitive self-assessment topic data corresponding to the test type in the management platform will be obtained, and multiple evaluation pages will be generated and displayed in sequence according to the cognitive self-assessment topic data, and the selection parameters input by the user for the cognitive self-assessment topic data of each evaluation page will be determined, and the input time corresponding to the selection parameters will be used as the reaction time, and each selection parameter and each reaction time will be sent to the management platform. The management platform inputs all selection parameters and reaction times into the machine learning model, obtains the cognitive self-assessment results of the elderly, and feeds back to the user end, and the user end receives and displays the cognitive self-assessment results of the elderly. Therefore, it can avoid the phenomenon that the efficiency and accuracy of cognitive assessment are reduced by only being evaluated by professionals, and users (such as the elderly) can be realized without the help of professional medical staff to independently complete the cognitive assessment of the elderly, thereby improving the efficiency of cognitive assessment of the elderly. In addition, when conducting cognitive assessments for the elderly, the user end is only used to output cognitive self-assessment question data, collect user input selection parameters and reaction time, and output and display assessment results. The specific judgment and analysis process is carried out on the management platform, which can reduce the pressure on the user end and improve the efficiency of cognitive assessments for the elderly. In addition, health monitoring and early warning are carried out based on machine learning models on the management platform, so interference from human factors can be avoided and the accuracy of cognitive assessments for the elderly can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0013] Figure 1 A flowchart of the first embodiment of the cognitive screening method for the elderly provided in this application; Figure 2 This is a schematic diagram of the result interface output by the user end in the embodiment of the cognitive screening method for the elderly of this application; Figure 3 This is a schematic diagram of the interface of the evaluation page for performing the visual-spatial function test in the second embodiment of the cognitive screening method for the elderly of this application; Figure 4This is a schematic diagram of the interface of the first evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Figure 5 This is a schematic diagram of the interface of the second evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Figure 6 This is a schematic diagram of the interface of another first evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of the present application; Figure 7 This is a schematic diagram of the interface of another second evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Figure 8 This is a schematic diagram of the interface of the third evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig. 9 This is a schematic diagram of the interface of the fourth evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.10 This is a schematic diagram of the interface of another third evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.11 This is a schematic diagram of the interface of another fourth evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.12 This is a schematic diagram of the interface of the fifth evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.13 This is a schematic diagram of the interface of the sixth evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.14 This is a schematic diagram of the interface of another fifth evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.15 This is a schematic diagram of the interface of another sixth evaluation sub-page for performing visual-spatial function test and immediate memory test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.16 This is a schematic diagram of the interface of the evaluation page for performing visual-spatial function test and executive ability test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.17This is a schematic diagram of the interface of another evaluation page for performing visual-spatial function test and executive ability test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.18 This is a schematic diagram of the interface of the evaluation page for performing an abstract ability test in the second embodiment of the cognitive screening method for the elderly of this application; Fig.19 This is a schematic diagram of the interface of another evaluation page for performing an abstract ability test in the second embodiment of the cognitive screening method for the elderly of this application; Fig. 20 Schematic diagram of the device structure of the hardware operating environment involved in the cognitive screening method for the elderly in the embodiment of the present application.

[0014] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0015] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0016] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0017] Based on this, the present application embodiment provides a method for cognitive screening of the elderly, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the cognitive screening method for the elderly of the present application.

[0018] In this embodiment, the method for cognitive screening of the elderly is applied to a user terminal connected to a management platform, and the method for cognitive screening of the elderly includes steps S10 to S50.

[0019] Step S10, when the cognitive screening applet related to the cognitive screening of the elderly is triggered, determining the type of test to be performed for the cognitive self-assessment of the elderly; It should be noted that the test types include at least one of visual-spatial function test, immediate memory test, object recognition ability test, abstract ability test and executive ability test.

[0020] In this embodiment, there may be multiple user terminals connected to the management platform, and only one user terminal is used as an example here. Optionally, a cognitive screening system for the elderly can be constructed between the management platform and the user terminal, that is, a connection between multiple user terminals and the management platform can be established in the cognitive screening system for the elderly, and a blockchain connection between multiple user terminals and the management platform can be established through the mechanism of blockchain. Optionally, a blockchain can be set up, and multiple user terminal nodes and a management platform node are set up in the blockchain. A user terminal is set at each user terminal node, and a management platform is set at the management platform node. Among them, the user terminal node and the management platform node are blockchain nodes in the blockchain. The user terminal can be a terminal held by the user and can be used normally, such as a mobile phone, a tablet computer, etc. The management platform can be a smart health care remote platform.

[0021] Optionally, a cognitive screening applet connected to the management platform can be set up in the user end. The cognitive screening applet can be a cognitive screening applet related to cognitive screening of the elderly. The cognitive screening applet can be a applet similar to the WeChat applet, or it can be directly one of the WeChat applet. The user can log in to WeChat and click to open the cognitive screening applet, and conduct cognitive self-assessment of the elderly through the cognitive screening applet to conduct cognitive screening for the elderly.

[0022] Optionally, after the user touches the cognitive screening applet, or inputs a startup instruction to start the cognitive screening applet to the user terminal, the main display page corresponding to the cognitive screening applet is obtained and displayed on the display screen of the user terminal. Optionally, the main display page includes various modules, such as a cognitive self-assessment module for cognitive assessment of the elderly, a professional assessment and guidance module, etc. Optionally, modules such as health science popularization, health consultation and service items in the management module can also be displayed in the main display interface corresponding to the cognitive screening applet.

[0023] Optionally, when the user terminal detects that the user touches the cognitive self-assessment module in the main display page, it determines to conduct cognitive self-assessment of the elderly and triggers the self-assessment instruction set in advance. At this time, the cognitive screening applet will pop up a login interface window, and the user enters relevant user account information in the login interface window, such as age, gender, education level, and number of tests.

[0024] Optionally, when the user account information input by the user is obtained through the login interface window, and it is determined that the cognitive screening applet is triggered (such as triggering a self-assessment instruction), the type of test to be performed for the elderly's cognitive self-assessment can be determined, so as to conduct tests on the user in different dimensions, such as at least one of a visual-spatial function test, an immediate memory test, an object recognition ability test, an abstract ability test, and an executive ability test.

[0025] Step S20, obtaining cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page; Optionally, the user terminal can send a self-assessment instruction to the management platform. After receiving the self-assessment instruction, the management platform sends all cognitive self-assessment topic data related to the cognitive assessment of the elderly to the user terminal. The user terminal generates multiple assessment pages based on the cognitive self-assessment topic data, and displays each assessment page in sequence according to the page display rules set in advance.

[0026] Optionally, when generating an assessment page, a corresponding assessment page can be generated by using cognitive self-assessment topic data according to the test type to be tested. The assessment page can include questions and candidate answers that the user needs to take the test. The questions and candidate answers are generated based on the acquired cognitive self-assessment topic data. Optionally, the questions and candidate answers can be presented in the form of images + text, so that users can more intuitively conduct cognitive self-assessment of the elderly.

[0027] Optionally, each evaluation page can be displayed on the display screen of the user terminal in the form of a display window. And when the display windows corresponding to each evaluation page are displayed in sequence, a voice playback service can also be provided. When a display window with an evaluation page is displayed, the cognitive self-assessment question data contained in the evaluation page is played in the form of voice playback. Optionally, one evaluation page corresponds to one display window.

[0028] Optionally, before the user terminal displays a display window with an evaluation page for the user to answer questions, the user can be given answering instructions and reminders in the form of voice broadcast.

[0029] Step S30, for each evaluation page, obtaining the selection parameters input by the user for the displayed evaluation page, and determining the reaction time of the user inputting the selection parameters; Step S40, sending the selection parameters and reaction time corresponding to each test type to the management platform; Step S50, receiving the cognitive self-assessment results of the elderly fed back by the management platform, and outputting and displaying the cognitive self-assessment results of the elderly.

[0030] It should be noted that the management platform inputs all selection parameters and reaction times into the preset machine learning model to obtain the cognitive self-assessment results of the elderly, and feeds back the cognitive self-assessment results of the elderly to the user end.

[0031] Optionally, each evaluation page can be displayed in the form of a display window. Optionally, each evaluation page corresponds to a test type, and the evaluation page includes questions to be tested and candidate answers. Therefore, the selection parameters entered by the user for the questions and candidate answers in each evaluation page can be obtained. Optionally, the time for displaying the answer to the question on the evaluation page containing the candidate answer can be determined, and when the selection parameter input by the user is received, the time interval from displaying the candidate answer to obtaining the selection parameter input by the user is used as the input time corresponding to the selection parameter, and this input time is used as the reaction time. Then the selection parameters and reaction time corresponding to each test type are sent to the management platform. For example, if there is question 1 and multiple candidate answers corresponding thereto are displayed through the evaluation page, after the user sees question 1 displayed on the evaluation page, he touches and selects candidate answer C in the evaluation page after thinking for 5s. Then the reaction time for question 1 is determined to be 5s, and the selection parameter is candidate answer C.

[0032] Optionally, in one scenario, for the cognitive self-assessment topic data corresponding to each assessment page, the questions and multiple candidate answers contained in the cognitive self-assessment topic data can be determined, and the candidate answer selection instructions corresponding to each candidate answer can be determined. When the assessment page corresponding to the candidate answer selection instruction is displayed, it is detected in real time whether there is a triggered candidate answer selection instruction in each candidate answer selection instruction. If there is a triggered candidate answer selection instruction, the triggered candidate answer selection instruction is used as a selection parameter, and the assessment page corresponding to the next cognitive self-assessment topic data is automatically entered. Optionally, if no candidate answer selection instruction is triggered, and it is detected that the preset skip instruction is triggered, the triggered skip instruction is used as a selection parameter, and the assessment page corresponding to the next cognitive self-assessment topic data is automatically entered. Optionally, a skip instruction is set in the assessment page corresponding to each cognitive self-assessment topic data.

[0033] Optionally, the assessment page can be displayed in the form of a display window, so a skip button can be set in the display window corresponding to each assessment page. When the user cannot understand the questions in the assessment page, the user can touch the skip button to trigger the skip instruction and enter the display window corresponding to the next assessment page.

[0034] Optionally, for each display window containing cognitive self-assessment question data, corresponding options will be displayed for the user to select. Optionally, the options can be candidate answers, and each option corresponds to a candidate answer. Optionally, if the user touches a certain option in the display window corresponding to the cognitive self-assessment question data, a corresponding candidate answer selection instruction will be generated. If the user touches the skip button in the display window corresponding to the cognitive self-assessment question data, a corresponding skip instruction will be generated. After determining that the user triggers the generation of a candidate answer selection instruction or a skip instruction, the user end will enter the next display window with cognitive self-assessment question data so that the user can continue the assessment. Optionally, the candidate answer selection instruction and skip instruction generated by the user trigger can be used as selection parameters.

[0035] Optionally, the user end can send the selection parameters and reaction time obtained for each test type to the management platform, which will process them according to corresponding rules to determine whether the user is at risk of cognitive decline, generate corresponding evaluation results, and feed back the evaluation results to the user end.

[0036] After receiving the evaluation result, the user terminal will output and display the evaluation page containing the evaluation result. The evaluation page can also be displayed in the form of a display window, and the specific content of the evaluation result can also be played in the form of voice playback.

[0037] Optionally, after receiving the selection parameters and reaction time for each test type sent by the user end, the management platform can input the selection parameters and reaction time into a preset machine learning model for prediction, obtain the cognitive self-assessment results of the elderly, and feed back the predicted cognitive self-assessment results of the elderly to the user end. Figure 2 As shown in the figure, after receiving the self-assessment results of the elderly's cognition sent by the management platform, the user terminal displays relevant information on the display interface of the user terminal, including the test results, such as a health index of 6 points. Self-assessment results: You may have a decline in cognitive function. This test is only a preliminary and simple test. A professional cognitive assessment is required to further judge the cognitive level based on the results. And the evaluation part, such as the prompt message "Please evaluate this health self-test" to remind the user to evaluate. The button to return to the self-test list and the button to retest.

[0038] Optionally, the machine learning model in the management platform is a pre-trained machine learning model. Optionally, the management platform can use the data of online cognitive assessment to evaluate the cognitive function of 172 elderly people over 60 years old, and the area under the curve, accuracy, precision, sensitivity, specificity, etc. of the model can reflect the robustness of the test results.

[0039] Optionally, the management platform obtains the data set to be trained on the model, and divides the data set into a training set and a test set at a ratio of 8:2. On the training set, independent t-test and correlation analysis are used to select meaningful variables to be included in Lasso regression. The parameter λ is selected by the 10-fold cross-validation method, and the coefficients of unimportant variables are compressed to zero, so as to finally obtain a model with fewer variables, and then these variables are included in the machine learning model construction. For example, the data set is divided into a training set and a test set at a ratio of 8:2, and the mean and standard deviation are used to describe the normally distributed quantitative data, the median and interquartile range are used to describe the non-normally distributed quantitative data, and the frequency and percentage are used to describe the count data. First, an independent sample T test is used in the training set to analyze the differences in general demographic data, online cognitive assessment results, and online cognitive assessment usage time between the normal cognitive group and the cognitive impairment group, and the variables with p < 0.2 between the two groups are screened out. At the same time, the consistency analysis between the variables is performed. If it is in accordance with the normal distribution, Pearson correlation analysis is used, and if it is not in accordance with the normal distribution, Spearman rank correlation analysis is used. The correlation between the online assessment indicators and the MOCA assessment results is analyzed, and the variables with p < 0.2 are screened out. All variables screened out by the above two methods are included in the Lasso regression, and the variables finally included in the machine learning are selected, such as the answering time of question 1, the score of question 2, the score of question 3, the answering time of question 3, etc.

[0040] Optionally, the variables in the training set were standardized using z-score, and after processing the data imbalance using the ROSE package in the R language, in order to find the optimal parameters of the machine learning model, 5-fold cross validation was used in the training set to find the optimal parameters and then train the model. The prediction model was established using the optimal parameters, and the discrimination of the model was evaluated.

[0041] Five machine models, namely extreme value gradient boosting (XGboost), support vector machine (SVM), random forest (RF), gradient boosting machine (GBM) and logistic regression (LR), were used to establish a diagnostic model (i.e., a machine learning model). The Delong test was used to compare the differences between the areas under the curve (AUC) of the receiver operating characteristic (ROC) curves to screen the optimal model (i.e., the machine learning model ultimately used for prediction). The AUC of the LR model was significantly higher than that of the XGboost, SVM, GBM, and RF models (P < 0.001). The LR model had the largest AUC and the best performance index, making it the best model for predicting the risk of cognitive decline. In the test set, the AUC of the LR model was 0.885 (95% CI: 0.754-1), the sensitivity was 0.889, and the specificity was 0.808. Therefore, the test results of cognitive function assessment based on this model were highly robust. As shown in Table 1 below, Table 1 is a performance evaluation comparison table of five machine learning models.

[0042]

[0043] Table 1 In this embodiment, the user end is connected to the management platform. When the cognitive screening applet related to the cognitive screening of the elderly is triggered, the user end determines the type of test to be performed for the cognitive self-assessment of the elderly, such as at least one of the visual-spatial function test, the immediate memory test, the object cognitive ability test, the abstract ability test and the execution ability test. And the cognitive self-assessment question data corresponding to the test type in the management platform will be obtained, and multiple evaluation pages will be generated and displayed in sequence according to the cognitive self-assessment question data, and the selection parameters input by the user for the cognitive self-assessment question data of each evaluation page will be determined, and the input time corresponding to the selection parameters will be used as the reaction time, and each selection parameter and each reaction time will be sent to the management platform. The management platform inputs all selection parameters and reaction times into the machine learning model, obtains the cognitive self-assessment results of the elderly, and feeds back to the user end, and the user end receives and displays the cognitive self-assessment results of the elderly. Therefore, the phenomenon that the efficiency and accuracy of cognitive assessment are reduced due to the evaluation only by professionals can be avoided, and users (such as the elderly) can independently complete the cognitive assessment of the elderly without the help of professional medical staff, thereby improving the efficiency of cognitive assessment of the elderly. In addition, when conducting cognitive assessments for the elderly, the user end is only used to output cognitive self-assessment question data, collect user input selection parameters and reaction time, and output and display assessment results. The specific judgment and analysis process is carried out on the management platform, which can reduce the pressure on the user end and improve the efficiency of cognitive assessments for the elderly. In addition, health monitoring and early warning are carried out based on machine learning models on the management platform, so interference from human factors can be avoided and the accuracy of cognitive assessments for the elderly can be improved.

[0044] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. In step S20, cognitive self-assessment question data corresponding to the test type in the management platform is obtained, and an evaluation page corresponding to the test type is generated according to the cognitive self-assessment question data, and the evaluation page is displayed, including steps a10-a30.

[0045] Step a10, if the test type is a visual-spatial function test, randomly obtaining cognitive self-assessment question data corresponding to the visual-spatial function test from an image library corresponding to the management platform, wherein the cognitive self-assessment question data includes at least two polygonal images; In this embodiment, the visual-spatial function test mainly tests the visual-spatial ability of the user. The user needs to count the number of sides of each image and make choices according to the requirements of the question.

[0046] Optionally, when it is determined that the test type is a visual-spatial function test, corresponding cognitive self-assessment question data may be randomly acquired from an image library corresponding to the management platform.

[0047] Optionally, the image library corresponding to the management platform can be a polygonal image library, and polygonal images can be randomly extracted from the polygonal image library by random extraction, and the extracted polygonal images are sent to the user end as cognitive self-assessment question data. Optionally, the polygonal image can be a geometric image, such as a pentagonal image or a hexagonal image. It can also be the shape of home decoration, etc., to be closer to real life, thereby ensuring the breadth and unpredictability of the test content, thereby more effectively measuring the user's visual-spatial perception ability.

[0048] Step a20, selecting part or all of at least two polygonal images to construct a first candidate answer, wherein each first candidate answer includes a polygonal image, and each first candidate answer corresponds to a different polygonal image; Step a30, constructing a first question corresponding to the first candidate answer, and displaying an evaluation page including the first question and all the first candidate answers.

[0049] Optionally, since visuospatial function is a cognitive process of extracting spatial learning from visual stimuli and interpreting them, users can be asked to select target images when conducting visuospatial function tests. In the early stages of AD (Alzheimer's Disease), patients' visuospatial perception is impaired. This question is relatively easy and most users can answer it correctly, but elderly people with cognitive decline may take longer to answer than normal elderly people.

[0050] Therefore, when constructing questions corresponding to the visual-spatial function test, you can first select some or all of the multiple polygonal images to construct the first candidate answer, such as constructing four candidate answers, each of which contains only one polygonal image. Select a first candidate answer from the multiple constructed first candidate answers as the correct answer, and construct the first question corresponding to the correct answer. Then display the first question and all the first candidate answers on the evaluation page.

[0051] For example, Figure 3As shown, it includes the answering progress 1 / 11, the read for me button, the text question part (please observe the following figure carefully and select the heptagon. (After you finish answering, please click the "Next Question" button at the bottom)), candidate answers (A, B, C, D), and the next question button. At this time, the first question is "Please observe the following figure carefully and select the heptagon." The first candidate answer includes the candidate answers (A, B, C, D), that is, the first candidate answer A includes an octagonal image, the first candidate answer B includes a hexagonal image, the first candidate answer C includes a pentagonal image, and the first candidate answer D includes a heptagonal image.

[0052] Optionally, after displaying the evaluation page containing the first question and all the first candidate answers, the user can self-evaluate the first question and all the first candidate answers displayed in the evaluation page, input the selected first candidate answer, and use it as the selection parameter. At the same time, the reaction time considered by the user for inputting the selection parameter (including the time range between the start time of displaying the evaluation page containing the first question and all the first candidate answers and the end time of detecting the selection parameter input by the user) is obtained, and the selection parameter and reaction time are sent to the management platform for evaluation.

[0053] Optionally, after detecting the selection parameters input by the user, it can be determined that the visual-spatial function test is over, and the evaluation page containing the first question and all first candidate answers will be closed, and the evaluation page corresponding to the next test type will be entered until the process ends.

[0054] In this embodiment, when the visual-spatial function test is conducted on the user end, an evaluation page including the first question and the first candidate answer is displayed, so that the user can conduct the visual-spatial function test through the evaluation page, thereby improving the efficiency of cognitive screening for the elderly.

[0055] In a feasible embodiment, in step S20, cognitive self-assessment question data corresponding to the test type is obtained in the management platform, an evaluation page corresponding to the test type is generated based on the cognitive self-assessment question data, and the evaluation page is displayed, and steps b10-b30 are also included.

[0056] Step b10, if the test type is a visual-spatial function test and an immediate memory test, at least two evaluation images are obtained from the image library corresponding to the management platform, and if the evaluation image is a first combination image, one of the at least two first combination images is selected as a first question type image, wherein the first combination image includes two images connected to each other, and the first image parameters of each first combination image are different, and the first image parameters include the shape, size, direction and relative position of the two images connected to each other; Optionally, when the user terminal determines to conduct a visual-spatial function test and an immediate memory test, a plurality of evaluation images can be obtained in the management platform. The evaluation image can include a first combined image, which includes two images connected to each other, and the two images are interlocked with each other. Optionally, the two interlocked images can be pentagonal images, hexagonal images, or other images, which are not described here. Optionally, the first combined image can be a two-dimensional image.

[0057] Optionally, the first image parameters of each first combined image may be different, such as different numbers and shapes of edges of the images, different areas of overlapping parts, different relative positions of the images, etc.

[0058] Optionally, after obtaining a plurality of first combination images, the user terminal may randomly select one of the first combination images as a first question type image, so as to perform an assessment according to the selected first question type image.

[0059] Step b20, selecting part or all of at least two first combined images to construct at least two second candidate answers, and constructing a second question corresponding to the first question type image, wherein among the at least two second candidate answers, there are second candidate answers containing the first question type image and second candidate answers containing the first combined image excluding the first question type image; Optionally, the user terminal can select part or all of the multiple first combination images to construct multiple second candidate answers, such as constructing four second candidate answers. It should be noted that among the multiple second candidate answers constructed, there is a second candidate answer containing the first question type image, and the second question is constructed based on this second candidate answer, that is, the correct answer to the second question is the second candidate answer containing the first question type image.

[0060] Step b30, displaying the first evaluation sub-page containing the first question type image according to the first preset time, and when the display time of the first evaluation sub-page matches the first preset time, hiding the first evaluation sub-page, and displaying the second evaluation sub-page containing the second question and all second candidate answers, wherein the evaluation page includes the first evaluation sub-page and the second evaluation sub-page, and after the first evaluation sub-page is hidden, the hidden state of the first evaluation sub-page is locked.

[0061] Optionally, the first preset time may be a time set in advance, such as 10 seconds.

[0062] Optionally, a page containing the first question type image can be constructed and used as the first evaluation subpage, and a page containing the second question and all second candidate answers can be constructed and used as the second evaluation subpage. Optionally, the priority between the first evaluation subpage and the second evaluation subpage and the order of display can be set, such as setting the priority of the second evaluation subpage higher than the priority of the first evaluation subpage. The first evaluation subpage is displayed first, and when the display time of the first evaluation subpage reaches the first preset time, or before the first preset time, the "start answering" button triggered by the user is received, the first evaluation subpage will be hidden, the second evaluation subpage will be entered, and the second evaluation subpage will be displayed, and when the second evaluation subpage is displayed, the user cannot open the first evaluation subpage. That is, when the first evaluation subpage is in a hidden state, the state will be locked until the answering is completed.

[0063] Optionally, when conducting a user's visual-spatial function test and an immediate memory test, multiple evaluation images corresponding to the test can be obtained from the image library of the management platform, and when the obtained evaluation images are all first combined images obtained by combining two interconnected images, a second question corresponding to the visual-spatial function test and the immediate memory test can be set according to the obtained multiple first combined images. Optionally, the second question includes a second question and a second candidate answer.

[0064] Optionally, the question setting logic of the second question can be: Since the last subtest of the MMSE scale requires users to copy the image of two interconnected pentagons, it covers a wide range of visual-motor functions, such as visual analysis, image perception, sequence planning, hand-eye coordination, and general fine motor skills. Accurately copying two interlocking pentagons involves converting visual information into a motor plan, known as visual-motor integration. Visual-motor integration requires the activation of a large fronto-parietal network, which plays an important role. Functional magnetic resonance imaging studies have shown that early AD patients have neurodegeneration in the posterior parietal cortex, which may lead to a decline in their visual-spatial cognitive abilities, making it difficult to accurately remember the specific shapes and relative positions of the two intersecting pentagons, or to make the correct choice among similar options. Therefore, the second question can be used to test the patient's visual-spatial function.

[0065] Optionally, the second question is in the form of multiple-choice questions to examine the user's visual-spatial perception and visual-spatial structure ability, expanding the single graphic observation task to the recognition and comparison of graphics in four different dimensions, and further examining the user's ability to identify and distinguish subtle differences in a complex visual environment. The user needs to concentrate and carefully observe the relative position and number of edges of two interconnected graphics, first accurately perceive the shape, size, direction and relative position relationship of these graphics and understand how these parts are connected and combined, and then regard two or more graphics as a whole composed of multiple parts. This involves the systematic, hierarchical and modular integration of visual information, and the process of effectively transmitting this information to the relevant areas of the brain for processing.

[0066] In order to enhance the practicality and effectiveness of the test, the management platform will set up a scene picture library (i.e., image library) of two-dimensional graphic intersections to evaluate users' ability to recognize the intersection, overlap, and arrangement of complex geometric figures in two-dimensional and simulated three-dimensional space. The question bank covers a variety of scenes of two-dimensional graphic intersections, from basic direct intersections to complex nesting, overlap, and even partial hiding, which can simulate the transition from simple geometry learning to advanced spatial geometry reasoning. At the same time, the scene design is not limited to the display of pure geometric figures, but also presents graphics such as overlapping leaves in nature and interlaced patterns on clothing to be closer to real life.

[0067] For example, a two-dimensional image material (i.e., the first question type image) first appears on the user's screen, and the user needs to remember the first image parameters of the two images contained in the two-dimensional image material within 10 seconds, such as the relative position of the images and the number of shape edges, etc. After 10 seconds, it will automatically jump to the answering interface (i.e., the second evaluation subpage), and the user needs to select the two-dimensional image material that just appeared from several similar images displayed in the answering interface. Optionally, if the user has memorized the two-dimensional image material within 10 seconds, he can click the "Start Answering" button at the bottom of the page to jump to the answering interface.

[0068] like Figure 4-7 As shown, Figure 4 It can be the first evaluation subpage. Figure 5 is the second evaluation subpage. Figure 4 and Figure 5 Can be combined into a set of questions. Figure 6 It can be the first evaluation subpage. Figure 7 is the second evaluation subpage. Figure 6 and Figure 7 Can be combined into a set of questions. Figure 4-Figure 7 The progress of answering questions can be displayed in the , such as 2 / 11, 3 / 11. Figure 4 and Figure 6In the video, two virtual buttons are displayed, one is "Read for me" and the other is "Start answering questions (6 seconds)". A prompt message is also displayed: Please look carefully at this graphic and remember its shape and characteristics. A first combination image is also displayed. Among them, Figure 4 and Figure 6 The first combined image shown in is different. Figure 5 and Figure 7 Two virtual buttons are displayed, one is "Read to me" and the other is "Next question". The second question and four second candidate answers are displayed. For example, the second question is: Please select a picture that is exactly the same as the previous picture from the following figures. The four second candidate answers are: second candidate answer A, second candidate answer B, second candidate answer C and second candidate answer D. And the first combination images corresponding to the four second candidate answers are different. The corresponding prompt message will also be displayed: After you finish answering, please click the "Next question" button at the bottom.

[0069] In this embodiment, by displaying an evaluation page including a second question and a second candidate answer when conducting a visual-spatial function test and an immediate memory test on the user end, it is convenient for the user to conduct a visual-spatial function test and an immediate memory test through the evaluation page, thereby improving the efficiency of cognitive screening for the elderly.

[0070] In a feasible embodiment, in step S20, cognitive self-assessment question data corresponding to the test type is obtained in the management platform, an evaluation page corresponding to the test type is generated based on the cognitive self-assessment question data, and the evaluation page is displayed, and steps c10-c30 are also included.

[0071] Step c10: if the test type is a visual-spatial function test and an immediate memory test, at least two evaluation images are obtained from the image library corresponding to the management platform; if the evaluation image is a point cloud distribution image, one point cloud distribution image is selected from the at least two point cloud distribution images as the second question type image, wherein the first image parameters of each point cloud distribution image are different, and the first image parameters include the spatial distribution trend, arrangement rule and position of the image points; Optionally, when the user terminal determines to conduct a visual-spatial function test and an immediate memory test, multiple evaluation images can be obtained in the management platform. The evaluation images are type-detected. If all the evaluation images are point cloud distribution images, the user can be tested for visual-spatial function and immediate memory based on the point cloud distribution images. Optionally, the spatial distribution trend, arrangement rules and positions of each image point in each point cloud distribution image.

[0072] Therefore, a point cloud distribution image can be randomly selected from multiple point cloud distribution images as the second question type image, so as to perform evaluation based on the second question type image.

[0073] Step c20, selecting part or all of at least two third candidate answers from at least two point cloud distribution images to construct at least two third candidate answers, and constructing a third question corresponding to the second question type image, wherein among the at least two third candidate answers, there is a third candidate answer including the second question type image, and a third candidate answer including the point cloud distribution image other than the second question type image; Optionally, the user terminal can select part or all of the at least two point cloud distribution images to construct multiple third candidate answers, such as constructing four third candidate answers. It should be noted that among the multiple third candidate answers constructed, there is a third candidate answer containing the second question type image, and the third question is constructed based on the third candidate answer, that is, the correct answer to the third question is the third candidate answer containing the second question type image.

[0074] Step c30, displaying the third evaluation sub-page containing the second question type image according to the first preset time, and when the display time of the third evaluation sub-page matches the first preset time, hiding the third evaluation sub-page, and displaying the fourth evaluation sub-page containing the third question and all third candidate answers, wherein the evaluation page includes the third evaluation sub-page and the fourth evaluation sub-page, and after the third evaluation sub-page is hidden, the hidden state of the third evaluation sub-page is locked.

[0075] Optionally, a page containing the second question type image can be constructed and used as the third evaluation sub-page, and a page containing the third question and all third candidate answers can be constructed and used as the fourth evaluation sub-page. Optionally, the priority of the fourth evaluation sub-page can be set higher than the priority of the third evaluation sub-page. The third evaluation sub-page is displayed first, and when the display time of the third evaluation sub-page reaches the first preset time, or before the first preset time, the "start answering" button triggered by the user is received, the third evaluation sub-page will be hidden, the fourth evaluation sub-page will be entered, and the fourth evaluation sub-page will be displayed, and when the fourth evaluation sub-page is displayed, the user cannot open the third evaluation sub-page. That is, when the third evaluation sub-page is in a hidden state, the state will be locked until the answering is completed.

[0076] Optionally, the visual-spatial function test and immediate memory test conducted on the user on the third and fourth evaluation subpages can require the user to not only conduct efficient visual search and memory for the specific location, distribution, and arrangement information of discrete elements (i.e., image points) in the point cloud distribution image, but also to abstractly summarize the spatial relationship between these discrete elements to perceive the overall distribution trend of the scattered points, such as whether they show a certain regular arrangement (such as linear arrangement, circular arrangement, etc.), or whether there is a certain trend of aggregation or dispersion. In the process of observing the distribution of points, the brain will activate a series of neural circuits related to spatial navigation, relational reasoning, and graphic processing, and integrate visual input with prior knowledge to achieve comprehensive analysis and interpretation of spatial information. In addition, users need to find a scatter plot that matches the trend in memory among multiple similar options. This task also examines the user's information processing speed and cognitive flexibility to a certain extent.

[0077] Optionally, in order to enhance the practicality and effectiveness of the test, the image library in the management platform can be a scatter image library to evaluate the user's in-depth understanding and judgment of the precise positioning, complex distribution patterns and arrangements of discrete elements in the visual space. The question bank covers a variety of scatter plot scenarios. The library is generated by AI technology to ensure that the pictures used in each test are unique and avoid the deviations that may be caused by repeated tests. At the same time, the scene design is not limited to pure scatter display, but also presents graphics such as the arrangement of stars in the night sky, the distribution of tadpoles in the pond, and the random placement of biscuits to be closer to real life.

[0078] For example, Figure 8-11 As shown, Figure 8 It can be the third evaluation sub-page, Fig. 9 This is the fourth evaluation subpage. Figure 8 and Fig. 9 Can be combined into a set of questions. Fig.10 It can be the third evaluation sub-page, Fig.11 This is the fourth evaluation subpage. Fig.10 and Fig.11 Can be combined into a set of questions. Figure 8-Figure 11 The progress of answering questions can be displayed in the , such as 4 / 11, 5 / 11. Figure 8 and Fig.10 In the figure, two virtual buttons are displayed, one is "Read for me" and the other is "Start answering questions (6 seconds)". A prompt message is also displayed: Please look carefully at this figure and remember its shape and characteristics. A point cloud distribution image is also displayed. Among them, Figure 8 and Fig.10 The point cloud distribution images shown in are different. Fig. 9 and Fig.11Two virtual buttons are displayed, one is "Read to me" and the other is "Next question". The third question and four third candidate answers are displayed. For example, the third question is: Please select a picture that is exactly the same as the previous picture from the following figures. The four third candidate answers are: third candidate answer A, third candidate answer B, third candidate answer C and third candidate answer D. And the point cloud distribution images corresponding to the four third candidate answers are different. The corresponding prompt message will also be displayed: After you finish answering, please click the "Next question" button at the bottom.

[0079] In this embodiment, by displaying an evaluation page including a third question and a third candidate answer when conducting a visual-spatial function test and an immediate memory test on the user end, it is convenient for the user to conduct a visual-spatial function test and an immediate memory test through the evaluation page, thereby improving the efficiency of cognitive screening for the elderly.

[0080] In a feasible embodiment, in step S20, cognitive self-assessment question data corresponding to the test type is obtained in the management platform, and an evaluation page corresponding to the test type is generated based on the cognitive self-assessment question data. The step of displaying the evaluation page also includes steps d10-d30.

[0081] Step d10: if the test type is a visual-spatial function test and an immediate memory test, at least two evaluation images are obtained from the image library corresponding to the management platform; if the evaluation image is a second combination image, one of the at least two second combination images is selected as a third question type image, wherein the second combination image includes a three-dimensional space image and an object in the three-dimensional space image, and the spatial position of the object in the three-dimensional space image in each second combination image is different; Optionally, when the user terminal determines to conduct the visual-spatial function test and the immediate memory test, multiple evaluation images can be obtained in the management platform. Type detection is performed on the evaluation images. If all the evaluation images are second combination images, a second combination image can be randomly selected from the multiple second combination images as a third question type image, so as to conduct the evaluation according to the third question type image.

[0082] Optionally, the three-dimensional space image in the second combined image can be any three-dimensional stereoscopic image, such as a cube. The object located in the three-dimensional space stereoscopic image can be a small ball. The small ball can be at different spatial positions in the cube.

[0083] Step d20, selecting part or all of at least two fourth candidate answers from at least two second combined images to construct a fourth question corresponding to the third question type image, wherein among the at least two fourth candidate answers, there is a fourth candidate answer that includes the third question type image, and a fourth candidate answer that includes the second combined image excluding the third question type image; Step d30, displaying the fifth evaluation sub-page containing the third question type image according to the first preset time, and when the display time of the fifth evaluation sub-page matches the first preset time, hiding the fifth evaluation sub-page, and displaying the sixth evaluation sub-page containing the fourth question and all fourth candidate answers, wherein the evaluation page includes the fifth evaluation sub-page and the sixth evaluation sub-page, and after the fifth evaluation sub-page is hidden, the hidden state of the fifth evaluation sub-page is locked.

[0084] Optionally, a page containing the third question type image can be constructed and used as the fifth evaluation sub-page, and a page containing the fourth question and all fourth candidate answers can be constructed and used as the sixth evaluation sub-page. Optionally, the priority of the sixth evaluation sub-page can be set higher than the priority of the fifth evaluation sub-page. The fifth evaluation sub-page is displayed first, and when the display time of the fifth evaluation sub-page reaches the first preset time, or before the first preset time, the "start answering" button triggered by the user is received, the fifth evaluation sub-page will be hidden, the sixth evaluation sub-page will be entered, and the sixth evaluation sub-page will be displayed, and when the sixth evaluation sub-page is displayed, the user cannot open the fifth evaluation sub-page. That is, when the fifth evaluation sub-page is in a hidden state, the state will be locked until the answering is completed.

[0085] Alternatively, in the context of cognitive aging research, the ability to recognize and remember the relative position of objects in three-dimensional space is very important for maintaining the independent living and spatial navigation function of the elderly, such as remembering the layout of furniture in the room, finding the location of the vehicle in the parking lot, etc. However, this ability may be affected in the early stages of AD. Users may find it difficult to build a clear three-dimensional spatial model in their minds, and then find it difficult to accurately remember and reproduce the detailed information of the specific location of an object. This decline in spatial cognitive ability may affect their daily life and navigation ability. The cube copy test in the MOCA scale (Montreal Cognitive Assessment) is usually used to detect abnormalities in visual spatial perception or motor programs. When MCI (mild cognitive impairment) patients perform poorly in the cube copy test and are accompanied by a significant decrease in cerebral blood perfusion in the parietal region, it indicates that the parietal cortex is involved in the early stages of AD.

[0086] Optionally, when conducting visual-spatial function tests and immediate memory tests on users according to the fifth and sixth evaluation sub-pages, by increasing the spatial complexity of the test graphics, the user needs to deeply process and understand the three-dimensional spatial position, size relationship, etc. of the ball between cubes. Compared with the memory of simple two-dimensional graphics and the replication of a single cube, higher requirements are placed on the user's visual-spatial perception ability, visual-spatial structure ability and information processing depth, so as to more sensitively identify patients with early cognitive decline.

[0087] In addition, in order to enhance the practicality and effectiveness of the test, the image library in the management platform can be a three-dimensional space scene image library to evaluate the user's ability to judge the relative position of objects in three-dimensional space. The library is generated by AI technology to ensure that the images used in each test are unique and avoid the bias that may be caused by repeated testing. These images will present a variety of life scenes, including but not limited to family living environments (sofas in the living room, beds in the bedroom, cabinets in the kitchen), public places (supermarket shelves, street traffic), natural landscapes (canyon streams), etc., to simulate the spatial cognitive challenges that the elderly may encounter in real life and better evaluate their navigation and positioning capabilities in complex spatial environments. At the same time, this question will incorporate an adaptive transformation mechanism. According to basic information such as the user's age and education level, the system will adjust the difficulty and complexity of the image. For older or less educated users, the system may choose more intuitive and simple picture content; for younger or more educated users, it may present more complex and abstract picture content, such as presenting at different angles, distances and degrees of occlusion. Users need to use their spatial imagination and logical reasoning ability, combined with clues and prompts in the picture, to accurately judge the specific position of the object in three-dimensional space.

[0088] For example, Figure 12-15 As shown, Fig.12 It can be the fifth evaluation sub-page, Fig.13 This is the sixth evaluation subpage. Fig.12 and Fig.13 Can be combined into a set of questions. Fig.14 It can be the fifth evaluation sub-page, Fig.15 This is the sixth evaluation subpage. Fig.14 and Fig.15 Can be combined into a set of questions. Figure 12-Figure 15 The progress of answering questions can be displayed in the , such as 6 / 11, 7 / 11. Fig.12 and Fig.14 In the picture, two virtual buttons are displayed, one is "Read to me" and the other is "Start answering questions (6 seconds)". A prompt message is also displayed: Please look carefully at this figure and remember its shape and characteristics. A second combined image is also displayed. Among them, Fig.12 and Fig.14 The second combined image shown in is different. Fig.13 and Fig.15 Two virtual buttons are displayed, one is "Read to me" and the other is "Next question". The fourth question and four fourth candidate answers are displayed. For example, the fourth question is: Please select a picture that is exactly the same as the previous picture from the following figures. The four fourth candidate answers are: fourth candidate answer A, fourth candidate answer B, fourth candidate answer C and fourth candidate answer D. And the second combination images corresponding to the four fourth candidate answers are different. The corresponding prompt message is also displayed: After you finish answering, please click the "Next question" button at the bottom.

[0089] In this embodiment, by displaying an evaluation page including the fourth question and the fourth candidate answer when conducting a visual-spatial function test and an immediate memory test on the user end, it is convenient for the user to conduct a visual-spatial function test and an immediate memory test through the evaluation page, thereby improving the efficiency of cognitive screening for the elderly.

[0090] In a feasible embodiment, in step S20, cognitive self-assessment question data corresponding to the test type is obtained in the management platform, and an evaluation page corresponding to the test type is generated based on the cognitive self-assessment question data. The step of displaying the evaluation page also includes steps e10-e30.

[0091] Step e10: if the test type is a visual-spatial function test and an execution ability test, at least two clock images are obtained from an image library corresponding to the management platform, wherein each clock image corresponds to a different time scale; Step e20, selecting part or all of at least two clock images to construct a fifth candidate answer, wherein each fifth candidate answer includes a clock image, and each fifth candidate answer corresponds to a different clock image; Step e30, constructing the fifth question based on any fifth candidate answer among all fifth candidate answers, and displaying an evaluation page including the fifth question and all fifth candidate answers.

[0092] Optionally, the clock drawing test can screen for visual-spatial and visual-structural processing disorders associated with parietal lobe dysfunction by requiring the subject to follow instructions to draw a clock pattern. The test is easy to operate, short in time, and less affected by the external environment and cultural education level. It also shows high specificity and sensitivity in the assessment of visual-spatial ability and executive function. Therefore, when the user needs to conduct visual-spatial function tests and executive ability tests, they can be reflected through the clock drawing test.

[0093] In addition, when early AD patients face a decline in their ability to read the clock, they may have difficulty accurately parsing the spatial configuration between the clock hands and numbers, and may even be unable to recognize the digital logo on the clock dial. Therefore, in this embodiment, it is embodied in the form of multiple-choice questions, and two types are set up, with and without scales. In order to comprehensively examine the user's visual-spatial ability, the management platform will set up a clock scene image library (i.e., image library), including clear and direct analog clocks, desktop clocks, wall-mounted clocks, etc., and randomly select questions from the question bank each time. The generated clock time and the presentation of the dial scale are not fixed, ensuring that the clock image presented to the user each time is unique, thereby effectively avoiding the errors that may be introduced by repeated testing.

[0094] Optionally, after determining the fifth candidate answer and the fifth question, the user terminal may generate an evaluation page including the fifth question and all fifth candidate answers, and display the page on the display interface of the user terminal.

[0095] For example, Figure 16-17 shown. Fig.16 For scaled questions, Fig.17 This is a non-scaled question type. Fig.16 and Fig.17 The evaluation page will show the progress of answering questions, such as 8 / 11, 9 / 11. Two virtual buttons "Read to me" and "Next question" will be displayed. A prompt message will be displayed: After you finish answering, please click the "Next question" button at the bottom. The fifth question and the fifth candidate answer will be displayed, such as Fig.16 The fifth question is: You will see several clocks next. Please choose the clock with the time of 3:50. The fifth candidate answer of ABC with scales is displayed. Fig.17 The fifth question is: You will see several clocks next. Please choose the clock with the time of 10:20. The fifth candidate answer of ABC without scale is displayed.

[0096] In this embodiment, by displaying the evaluation page including the fifth question and the fifth candidate answer when the user is subjected to the visual-spatial function test and the executive ability test on the user side, it is convenient for the user to conduct the visual-spatial function test and the executive ability test through the evaluation page, thereby improving the efficiency of cognitive screening for the elderly.

[0097] In a feasible embodiment, in step S20, cognitive self-assessment question data corresponding to the test type is obtained in the management platform, and an evaluation page corresponding to the test type is generated based on the cognitive self-assessment question data. The step of displaying the evaluation page also includes steps f10-f40.

[0098] Step f10: if the test type is an abstract ability test, at least two object images of different dimensional types are obtained from the image library corresponding to the management platform; Step f20, determining at least two different first object images of a first dimensional type and a second object image of a second dimensional type among the plurality of object images; Step f30, constructing at least two sixth candidate answers based on at least two different first object images and second object images, and constructing a sixth question based on the sixth candidate answers, wherein the correct answer to the sixth question is the sixth candidate answer including the second object image, and each sixth candidate answer includes a different object image; Step f40, displaying an evaluation page including the sixth question and all the sixth candidate answers.

[0099] Optionally, the incidence of abstract ability disorders in MCI patients is also high, which may be related to the reduction of gray matter volume in multiple regions such as the left middle frontal gyrus and the left superior temporal gyrus. Given the core position of abstract thinking in problem solving, "concept construction" activities are more fundamental than "concrete description". Therefore, in this embodiment, when the user terminal tests the user's abstract ability, a classification question type can be constructed, and four sixth candidate answers can be set, three of which require the user to classify them into one category. While examining the user's abstract ability, the visual-spatial perception ability is also examined. In order to comprehensively evaluate the user's abstract thinking ability, the management platform can build a diversified object image library (i.e., image library), which is designed to generate a series of pictures with classification potential by randomly extracting each time, so as to challenge the user's ability to accurately classify. Such a design ensures the breadth and unpredictability of the test content, thereby more effectively measuring the user's abstract induction and classification ability.

[0100] Optionally, after determining the sixth candidate answer and the sixth question, the user terminal may generate an evaluation page including the sixth question and all sixth candidate answers, and display the page on the display interface of the user terminal.

[0101] For example, Figure 18-19 As shown, if the user terminal obtains multiple object images of different dimensions from the management platform, such as fruit images, vegetable images, etc., a classification question type can be constructed based on these object images. Optionally, three vegetable images can be selected as the first object image and one fruit image can be selected as the second object image, and the sixth candidate answer and the sixth question of the classification question type can be constructed and displayed. Fig.18 and Fig.19The displayed assessment page will show the progress of answering questions, such as 10 / 11, 11 / 11. Display virtual buttons, such as "Read to me", "Next question", and "Done". Display prompt information: Please click the "Done" button at the bottom after you finish answering. Or: Please click the "Next question" button at the bottom after you finish answering. Display the sixth question and the sixth candidate answer. For example, the sixth question is: There are 4 items in the picture below, and you need to classify them. 3 of them can be classified into one category, and the other 1 is different from the category of the other three. Please choose the item of this different category. Display four sixth candidate answers ABCD.

[0102] In this embodiment, when the user's abstract ability is tested on the user side, an evaluation page including the sixth question and the sixth candidate answer is displayed, so that the user can be evaluated for abstract ability through the evaluation page, thereby improving the efficiency of cognitive screening for the elderly.

[0103] In addition, to achieve the above purpose, the present application also proposes a cognitive screening device for the elderly, which is arranged at a user end connected to the management platform, and includes: A determination module, for determining the type of test to be performed on the cognitive self-assessment of the elderly when a cognitive screening applet related to cognitive screening of the elderly is triggered, wherein the test type includes at least one of a visual-spatial function test, an immediate memory test, an object recognition ability test, an abstract ability test, and an executive ability test; A generation module is used to obtain cognitive self-assessment question data corresponding to the test type in the management platform, generate an evaluation page corresponding to the test type based on the cognitive self-assessment question data, and display the evaluation page; An acquisition module, for acquiring, for each evaluation page, selection parameters input by the user for the displayed evaluation page, and determining a reaction time for the user to input the selection parameters; A sending module is used to send the selection parameters and reaction time corresponding to each test type to the management platform, wherein the management platform inputs all the selection parameters and reaction time into a preset machine learning model to obtain the cognitive self-assessment results of the elderly, and feeds back the cognitive self-assessment results of the elderly to the user end; The display module is used to receive the cognitive self-assessment results of the elderly fed back by the management platform, and output and display the cognitive self-assessment results of the elderly.

[0104] The specific implementation of the elderly cognitive screening device provided in this application is basically the same as the above-mentioned embodiments of the elderly cognitive screening method, and will not be repeated here.

[0105] The present application provides a cognitive screening device for the elderly, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the cognitive screening method for the elderly in the above-mentioned embodiment one.

[0106] Reference below Fig. 20 , which shows a schematic diagram of the structure of the elderly cognitive screening device suitable for implementing the embodiment of the present application. The elderly cognitive screening device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The device shown in the figure is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present application.

[0107] like Fig. 20 As shown, the elderly cognitive screening device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the elderly cognitive screening device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows the elderly cognitive screening device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0108] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0109] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0110] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0111] The present invention also provides a storage medium, which can be a computer-readable storage medium. The computer-readable storage medium stores one or more programs, and the one or more programs can also be executed by one or more processors to implement the steps of each embodiment of the above-mentioned elderly cognitive screening method.

[0112] The specific implementation methods of the elderly cognitive screening device and computer-readable storage medium of the present invention are basically the same as the above-mentioned embodiments of the elderly cognitive screening method, and will not be repeated here.

[0113] The above are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for cognitive screening of the elderly, characterized in that: Applied to a user terminal connected to a management platform, the elderly cognitive screening method comprises the following steps: When the cognitive screening applet related to cognitive screening for the elderly is triggered, determining the type of test to be performed for cognitive self-assessment of the elderly, wherein the test type includes at least one of a visual-spatial function test, an immediate memory test, an object recognition ability test, an abstract ability test, and an executive ability test; Acquire cognitive self-assessment topic data corresponding to the test type in the management platform, generate an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and display the evaluation page; For each of the evaluation pages, obtaining selection parameters input by the user for the displayed evaluation page, and determining a reaction time of the user inputting the selection parameters; Sending the selection parameters and the reaction time corresponding to each test type to the management platform, wherein the management platform inputs all the selection parameters and the reaction time into a preset machine learning model to obtain the cognitive self-assessment results of the elderly, and feeds back the cognitive self-assessment results of the elderly to the user end; Receive the cognitive self-assessment results of the elderly fed back by the management platform, and output and display the cognitive self-assessment results of the elderly.

2. The method according to claim 1, characterized in that The step of obtaining cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page includes: If the test type is a visual-spatial function test, randomly acquiring cognitive self-assessment question data corresponding to the visual-spatial function test from an image library corresponding to the management platform, wherein the cognitive self-assessment question data includes at least two polygonal images; Selecting part or all of the at least two polygonal images to construct a first candidate answer, wherein each of the first candidate answers includes a polygonal image, and each of the first candidate answers corresponds to a different polygonal image; Construct a first question corresponding to the first candidate answer, and display an evaluation page including the first question and all the first candidate answers.

3. The method according to claim 1, characterized in that The step of acquiring cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page further includes: If the test type is a visual-spatial function test and an immediate memory test, at least two evaluation images are obtained from the image library corresponding to the management platform; if the evaluation image is a first combination image, a first combination image is selected from at least two of the first combination images as a first question type image, wherein the first combination image includes two images connected to each other, and the first image parameters of each of the first combination images are different, and the first image parameters include the shape, size, direction and relative position of the two images connected to each other; Selecting part or all of at least two of the first combined images to construct at least two second candidate answers, and constructing a second question corresponding to the first question type image, wherein among the at least two second candidate answers, there are a second candidate answer including the first question type image and a second candidate answer including the first combined image excluding the first question type image; A first evaluation subpage including the first question type image is displayed according to a first preset time, and when the display time of the first evaluation subpage matches the first preset time, the first evaluation subpage is hidden, and a second evaluation subpage including the second question and all the second candidate answers is displayed, wherein the evaluation page includes a first evaluation subpage and a second evaluation subpage, and after the first evaluation subpage is hidden, the hidden state of the first evaluation subpage is locked.

4. The method according to claim 1, characterized in that The step of acquiring cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page further includes: If the test type is a visual-spatial function test and an immediate memory test, at least two evaluation images are obtained from the image library corresponding to the management platform; if the evaluation image is a point cloud distribution image, one point cloud distribution image is selected from the at least two point cloud distribution images as the second question type image, wherein the first image parameters of each point cloud distribution image are different, and the first image parameters include the spatial distribution trend, arrangement rule and position of the image points; Selecting part or all of at least two third candidate answers from at least two of the point cloud distribution images to construct at least two third candidate answers, and constructing a third question corresponding to the second question type image, wherein among the at least two third candidate answers, there is a third candidate answer including the second question type image, and a third candidate answer including the point cloud distribution image other than the second question type image; A third evaluation sub-page including the second question type image is displayed according to a first preset time, and when the display time of the third evaluation sub-page matches the first preset time, the third evaluation sub-page is hidden, and a fourth evaluation sub-page including the third question and all the third candidate answers is displayed, wherein the evaluation page includes a third evaluation sub-page and a fourth evaluation sub-page, and after the third evaluation sub-page is hidden, the hidden state of the third evaluation sub-page is locked.

5. The method according to claim 1, characterized in that The step of acquiring cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page further includes: If the test type is a visual-spatial function test and an immediate memory test, at least two evaluation images are obtained from the image library corresponding to the management platform; if the evaluation image is a second combination image, one second combination image is selected from at least two of the second combination images as a third question type image, wherein the second combination image includes a three-dimensional space image and an object located in the three-dimensional space image, and the spatial position of the object in the three-dimensional space image in each of the second combination images is different; Selecting part or all of at least two of the second combined images to construct at least two fourth candidate answers, and constructing a fourth question corresponding to the third question type image, wherein among the at least two fourth candidate answers, there is a fourth candidate answer including the third question type image, and a fourth candidate answer including the second combined image excluding the third question type image; The fifth evaluation sub-page including the third question type image is displayed according to a first preset time, and when the display time of the fifth evaluation sub-page matches the first preset time, the fifth evaluation sub-page is hidden, and the sixth evaluation sub-page including the fourth question and all the fourth candidate answers is displayed, wherein the evaluation page includes the fifth evaluation sub-page and the sixth evaluation sub-page, and after the fifth evaluation sub-page is hidden, the hidden state of the fifth evaluation sub-page is locked.

6. The method according to claim 1, characterized in that The step of acquiring cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page further includes: If the test type is a visual-spatial function test and an execution ability test, obtaining at least two clock images from an image library corresponding to the management platform, wherein each clock image corresponds to a different time scale; Selecting part or all of the at least two clock images to construct a fifth candidate answer, wherein each of the fifth candidate answers includes a clock image, and the clock images corresponding to each of the fifth candidate answers are different; A fifth question is constructed according to any fifth candidate answer among all the fifth candidate answers, and an evaluation page including the fifth question and all the fifth candidate answers is displayed.

7. The method according to claim 1, characterized in that The step of acquiring cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page further includes: If the test type is an abstract ability test, obtaining at least two object images of different dimensional types from an image library corresponding to the management platform; determining at least two different first object images of a first dimensional type and a second object image of a second dimensional type among the plurality of object images; constructing at least two sixth candidate answers based on at least two different first object images and the second object image, and constructing a sixth question based on the sixth candidate answers, wherein the correct answer to the sixth question is the sixth candidate answer including the second object image, and each of the sixth candidate answers includes a different object image; An evaluation page including the sixth question and all the sixth candidate answers is displayed.

8. A cognitive screening device for the elderly, characterized in that: The elderly cognitive screening device is arranged at a user end connected to the management platform, and includes: A determination module, for determining the type of test to be performed on the elderly cognitive self-assessment when the cognitive screening applet related to the elderly cognitive screening is triggered, wherein the test type includes at least one of a visual-spatial function test, an immediate memory test, an object recognition ability test, an abstract ability test, and an executive ability test; A generation module, used for acquiring cognitive self-assessment topic data corresponding to the test type in the management platform, generating an evaluation page corresponding to the test type according to the cognitive self-assessment topic data, and displaying the evaluation page; An acquisition module, used for acquiring, for each evaluation page, selection parameters input by the user for the displayed evaluation page, and determining a reaction time of the user inputting the selection parameters; A sending module, used for sending the selection parameters and the reaction time corresponding to each test type to the management platform, wherein the management platform inputs all the selection parameters and the reaction time into a preset machine learning model to obtain the cognitive self-assessment results of the elderly, and feeds back the cognitive self-assessment results of the elderly to the user end; The display module is used to receive the cognitive self-assessment results of the elderly fed back by the management platform, and output and display the cognitive self-assessment results of the elderly.

9. A cognitive screening device for the elderly, characterized in that: The device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the elderly cognitive screening method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the elderly cognitive screening method as described in any one of claims 1 to 7 are implemented.

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