Auxiliary assessment method and system for cognitive dysfunction, device, and medium
Patent Information
- Application Number
- PCT/CN2026/079037
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2025-02-19
- Filing Date
- 2026-02-12
- Publication Date
- 2026-08-27
Smart Images

Figure CN2026079037_27082026_PF_FP_ABST
Abstract
Description
A method, system, device and medium for assisting in the assessment of cognitive impairment
[0001] Cross-reference to related applications
[0002] This application claims priority to Chinese Patent Application No. 202510179823.3, filed on February 19, 2015, entitled “A method, system, device and medium for assisting in the evaluation of cognitive impairment”, the entire contents of which are incorporated herein by reference. Technical Field
[0003] This application relates to the field of medical data processing technology, and in particular to a method, system, device and medium for assisting in the evaluation of cognitive impairment. Background Technology
[0004] Cognitive impairment is a syndrome caused by age-related neurodegenerative diseases or brain injuries, and its global incidence is on the rise. According to the World Health Organization (WHO), the incidence rate is approximately 5%-10% in people over 65 years of age, and can reach 30%-50% in those over 85 years of age. In my country, the prevalence of mild cognitive impairment (MCI) in people over 55 years of age is approximately 14.5%. Without intervention and control, about 10%-15% of these individuals will develop dementia, placing a heavy burden on their families and society. Cognitive impairment has become a recognized major public health challenge worldwide.
[0005] Studies have shown that patients with Mild Cognitive Impairment (MCI) can effectively slow the progression to dementia through cognitive training, control of vascular risk factors, increased exercise, and dietary adjustments. In recent years, the availability of targeted drugs that remove β-amyloid protein and slow the progression of cognitive impairment, such as lencanezumab and donepezumab, has further effectively halted the progression of MCI to dementia. Therefore, early, efficient, and accurate screening of MCI patients is of even greater importance than before.
[0006] Currently, the internationally accepted rapid screening methods for MCI (Minimum Mind State Examination) are the MMSE (Mini-mental state examination) and the MoCA (Montreal Cognitive Assessment), both originating from Europe and America. However, both have limitations. Because patients with cognitive impairment may exhibit not only memory decline but also impairments in executive function, visuospatial, language, calculation, or conceptual reasoning, and the MMSE does not cover these assessment methods, its sensitivity is not high enough. The MoCA, on the other hand, is significantly influenced by cultural and linguistic backgrounds and is highly sensitive to the subject's education level; individuals with low education or illiteracy often score lower, and although educational compensation points are included, it is difficult to completely eliminate bias. Furthermore, the MoCA test is complex and time-consuming, making it difficult for elderly individuals or patients with severe cognitive impairment to administer, thus limiting its applicability in clinical practice. Summary of the Invention
[0007] This application provides a method, system, device, and medium for assisting in the evaluation of cognitive impairment, which addresses the shortcomings of existing scales in comprehensively and accurately evaluating cognitive impairment in subjects, thereby significantly improving the ability to identify cognitive impairment, especially in patients with mild cognitive impairment.
[0008] This application provides an auxiliary assessment method for cognitive dysfunction, including:
[0009] Receive the subject's immediate memory data, dementia screening data, and delayed memory data;
[0010] Based on the subjects' immediate memory data, dementia screening data, and delayed memory data, and using pre-set evaluation rules, auxiliary evaluation results of the subjects' cognitive impairment were obtained.
[0011] According to the cognitive impairment auxiliary evaluation method provided in this application, the dementia screening data includes any one or any combination of the following: time-estimated data, reading data, mathematical calculation data, and motor imitation data.
[0012] According to the cognitive impairment auxiliary assessment method provided in this application, the time estimation data includes date estimation data and / or clock estimation data based on the subject's native language.
[0013] According to the cognitive impairment auxiliary assessment method provided in this application, the mathematical calculation data includes any one or any combination of the following: numerical comparison data and / or mathematical operation data.
[0014] According to the cognitive impairment auxiliary assessment method provided in this application, the motor imitation data includes single motor imitation data and / or series motor imitation data.
[0015] According to the cognitive impairment auxiliary evaluation method provided in this application, the delayed memory data includes delayed memory data without prompting cues and / or delayed memory data with prompting cues.
[0016] According to the cognitive impairment auxiliary evaluation method provided in this application, the method obtains the cognitive impairment auxiliary evaluation result of the subject based on the subject's immediate memory data, dementia screening data, and delayed memory data, using preset evaluation rules, including:
[0017] Based on the subjects' immediate memory data, dementia screening data, and delayed memory data, the subjects' immediate memory score, dementia screening score, and delayed memory score were obtained.
[0018] Based on the subjects' immediate memory score, dementia screening score, and delayed memory score, the auxiliary evaluation results of the subjects' cognitive impairment are obtained using pre-set evaluation rules.
[0019] According to the cognitive impairment auxiliary assessment method provided in this application, it also includes:
[0020] Obtain the subjects' MMSE and MoCA assessment data;
[0021] The correlation analysis was performed between the subjects' cognitive impairment auxiliary assessment results and their MMSE and MoCA assessment data to verify the validity of the subjects' cognitive impairment auxiliary assessment results.
[0022] This application also provides a data collection method for assisting in the evaluation of cognitive impairment, the data including the aforementioned instantaneous memory data, dementia screening data, and delayed memory data.
[0023] This application also provides an auxiliary assessment system for cognitive impairment, including:
[0024] The data receiving module is used to receive the subject's instantaneous memory data, dementia screening data, and delayed memory data from at least one terminal.
[0025] The cognitive impairment auxiliary assessment module is used to: obtain the cognitive impairment auxiliary assessment results of the subject based on the subject's immediate memory data, dementia screening data, and delayed memory data, using preset assessment rules;
[0026] The data output module is used to output the auxiliary evaluation results of the subject's cognitive dysfunction to at least one terminal.
[0027] It should be noted that a terminal refers to an input / output device connected to a computer system. Depending on the function, terminals can be divided into various types: smart terminals or intelligent terminals, dumb terminals, interactive terminals or online terminals. Specifically, a terminal can be various mobile communication devices, such as mobile phones and tablets. This article aims to provide users with the function of inputting data and outputting data.
[0028] This application also provides an electronic device, including a processor and a memory storing a computer program, wherein the processor executes the computer program to implement any of the above-described methods for assisting in the evaluation of cognitive impairment.
[0029] This application also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements any of the above-described methods for assisting in the evaluation of cognitive impairment.
[0030] This application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to perform any of the above-described cognitive impairment auxiliary evaluation methods.
[0031] This application provides a method, system, device, and medium for assisting in the evaluation of cognitive impairment. It assesses subjects' immediate memory, dementia screening, and delayed memory. Immediate memory includes immediate repetition, dementia screening includes time estimation, reading comprehension, mathematical calculation, and motor imitation, and delayed memory includes delayed memory repetition without prompting and delayed memory repetition with prompting. The overall evaluation process not only covers the assessment of basic immediate and delayed memory abilities but also extends to the assessment of time orientation, semantic memory, working memory, executive function, visuospatial ability, computational ability, verbal-numerical processing ability, and digital comprehension. Furthermore, it effectively avoids the influence of cultural background and education level on test accuracy, facilitating a comprehensive and accurate evaluation of cognitive impairment in different types of subjects and significantly improving the auxiliary identification of cognitive impairment, especially in patients with mild cognitive impairment. Attached Figure Description
[0032] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0033] Figure 1 is a flowchart illustrating an auxiliary assessment method for cognitive impairment provided in this application.
[0034] Figure 2 is a schematic diagram of the structure of an auxiliary evaluation system for cognitive impairment provided in this application.
[0035] Figure 3 is a schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation
[0036] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application, and should not be construed as limiting this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. In the description of this application, it should be understood that the terminology used is for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0037] Figure 1 is a flowchart illustrating an auxiliary assessment method for cognitive impairment provided in this application. The implementing entity of this auxiliary assessment method for cognitive impairment can be any applicable terminal-side device or network-side device, such as a cognitive impairment auxiliary assessment device.
[0038] Referring to Figure 1, the cognitive impairment auxiliary assessment method provided in this application may include:
[0039] S110: Receive the subject's immediate memory data, dementia screening data, and delayed memory data.
[0040] Here, receiving the subject's immediate memory data, dementia screening data, and delayed memory data is essentially a data collection method used to assist in the evaluation of cognitive impairment.
[0041] In some embodiments, short-term memory data may be obtained by showing subjects some objects or telling them the names of the objects and asking them to immediately repeat the names of the objects, in order to assess the subjects' short-term memory ability. A score is awarded if the subject repeats the object correctly, and no score is awarded if the subject fails to repeat it correctly. Short-term memory data is measured in a manner similar to this.
[0042] In some embodiments, dementia screening data includes any one or any combination of the following: time-based data, reading data, mathematical calculation data, and motion imitation data; wherein, time-based data includes date-based data and / or clock-based data, mathematical calculation data includes numerical comparison data and / or mathematical operation data, and motion imitation data includes single motion imitation data and / or series motion imitation data.
[0043] In situations where it's feasible, date calculations should be presented in a way that avoids making the calculations easier. For example, informing the subject that today is the 19th and asking what the dates are for the day before yesterday, the day after tomorrow, and tomorrow. To answer this question accurately, the subject needs to understand the meanings of "day before yesterday," "day after tomorrow," and "tomorrow" and be able to make the correct calculations. The difficulty level also varies depending on the subject's native language. If the subject's native language is English, the expressions for "day before yesterday" and "day after tomorrow" are "the day before yesterday" and "the day after tomorrow," respectively. In this case, the patient only needs to calculate yesterday (one day forward) and tomorrow (one day backward), and then calculate one day forward or backward respectively to answer the question correctly. However, for some languages, such as Chinese, the concepts of "tomorrow" and "tomorrow" are not expressed using terms like "yesterday" and "tomorrow." The expressions are more abstract, rely more on conventional memory, and lack internal structural cues. In these cases, the subject needs to accurately understand the concepts of "day before yesterday" and "day after tomorrow" and be able to accurately calculate two days forward or backward to answer the question correctly. In other words, for the same questions, using Chinese, which does not contain expressions that reduce the difficulty of calculation, allows for a more in-depth and accurate assessment of the subjects' semantic memory, working memory, and executive function abilities, compared to English. Points are awarded for correct date calculations and zero points for incorrect calculations; this method is used to measure the subjects' date calculation data based on their native language.
[0044] In some feasible methods, clock calculation data can be obtained by showing the subject a clock and asking them to express the time displayed and the time that is about to arrive. For example, asking the subject, "What time is the clock showing now, and how many minutes are left until the next hour?" A similar test in the prior art is the "clock drawing" test. However, this test is easily affected by the subject's education level and motor function. For example, subjects with lower levels of education may make conceptual errors such as "the hour hand is not off-center" (e.g., drawing the hour hand pointing exactly to 11 when drawing a clock for 11:10) due to insufficient understanding of the clock's structure and principles, or they may be unable to complete the drawing task because they have never handled a clock before, but these performances do not stem from cognitive deficits themselves. Similarly, subjects with motor dysfunctions such as ataxia may have false positive results because they cannot draw a closed circle or precisely control the direction of the hands. In addition, because the clock drawing test is widely used and heavily publicized in the media, many subjects practice before the test (this phenomenon occurs frequently), making the test results susceptible to the practice effect and difficult to reflect their true cognitive level. The testing method in this application, compared to traditional tests that require drawing the corresponding time on a clock, effectively avoids interference from factors such as education level and motor function. The test subject faces an integrated task involving multi-dimensional cognitive functions, allowing for a more in-depth and accurate assessment of the subject's visuospatial abilities, as well as time orientation, calculation ability, and working memory. Furthermore, because subjects cannot practice beforehand, it allows for a more precise and pure test of the subject's core cognitive impairments. The test subject scores points for correctly calculating the clock and receives no points for failing to do so, using a similar method to measure the subject's clock calculation data.
[0045] In some feasible methods, reading data can be obtained by showing subjects some numbers and asking them to read them aloud, in order to assess their verbal numerical processing abilities. Subjects are awarded points for correct readings and zero points for incorrect readings, and reading data is measured in a manner similar to this.
[0046] In some feasible approaches, since mathematical calculation data can include number comparison data and / or mathematical operation data, in one feasible approach, number comparison data can be obtained by presenting subjects with two numbers and asking them to compare their sizes, thereby assessing their digit comprehension ability, and the results are not affected by their level of education. Subjects receive points for correct comparisons and no points for incorrect comparisons, and so on.
[0047] In some feasible methods, mathematical calculation data can be obtained by showing subjects equations and asking them to perform the calculations. For example, the equations could be "50-2x7=?" or "11-3=?", which, although involving small numbers, include borrowing and the four arithmetic rules to accommodate subjects with different educational levels. Subjects receive points for correct calculations and no points for incorrect calculations, and mathematical calculation data is measured using methods such as these.
[0048] In some feasible approaches, since action imitation data can include single-action imitation data and / or series-action imitation data, in one feasible approach, single-action imitation data can be acquired by showing the subject a single gesture and asking the subject to imitate the gesture, in order to examine the subject's visuospatial and executive functions. The subject scores points when they imitate correctly and no points when they fail to imitate correctly; single-action imitation data is measured in a manner similar to this.
[0049] It should be noted that the acquisition of single-action imitation data in this application involves direct imitation of actions rather than acting according to verbal instructions or copying. Therefore, it is not affected by cultural background or education level on test accuracy. Furthermore, because this application examines visuospatial ability through gestures in three-dimensional space rather than text or two-dimensional graphics, it places higher demands on the complexity of the imitation task and the integration of multi-dimensional spatial information. This allows for earlier and more sensitive detection of deficiencies in visuospatial cognition and executive function, thereby enabling early identification of mild cognitive impairment.
[0050] In some feasible methods, serial action imitation data can be obtained by showing subjects a series of gestures and asking them to imitate them. This test is more challenging than single-action imitation data and can examine subjects' visuospatial and executive functions in depth, such as motor planning / inhibition and working memory. Subjects score points when they imitate correctly and receive no points when they fail to imitate correctly. Serial action imitation data is measured using methods such as these.
[0051] In some embodiments, since delayed memory data may include delayed memory data without prompting and / or delayed memory data with prompting, in one possible approach, delayed memory data without prompting can be obtained by having the subject recall the name of the item to be repeated during the immediate memory test some time after completing the immediate memory test, thereby assessing the subject's delayed memory ability. The subject scores points for correct repetition and receives no points for incorrect repetition, and the subject's delayed memory data is measured in a manner similar to this.
[0052] Here, since delayed memory data can also include delayed memory data with cues, in another feasible approach, when a subject fails to repeat correctly, it can be obtained by providing cues to the subject and then asking them to repeat the name of the item, thus differentiating hippocampal memory impairment from executive function-related memory impairment. A score is awarded for correct repetition and no score for incorrect repetition; delayed memory data with cues is measured using methods such as these.
[0053] In summary, the acquisition methods of immediate memory data, dementia screening data, and delayed memory data in this application can not only cover the assessment of basic immediate and delayed memory abilities, but also the assessment of time orientation, semantic memory, working memory, executive function, visuospatial ability, computational ability, linguistic numerical processing ability, and digital comprehension ability. Furthermore, it can effectively avoid the influence of cultural background and education level on test accuracy, contributing to a comprehensive and accurate evaluation of cognitive impairment in different types of subjects, and significantly improving the identification rate of cognitive impairment, especially mild cognitive impairment.
[0054] S120. Based on the subject's immediate memory data, dementia screening data, and delayed memory data, and using preset evaluation rules, obtain the subject's cognitive impairment auxiliary evaluation results.
[0055] It should be noted that the subject's immediate memory data, dementia screening data, and delayed memory data can be the subject's immediate memory score, dementia screening score, and delayed memory score, or it can be the result data of the subject when taking the immediate memory test, dementia screening test, and delayed memory test, such as whether the test was successfully scored. When the subject's immediate memory data, dementia screening data, and delayed memory data are the result data of the subject when taking the immediate memory test, dementia screening test, and delayed memory test, the subject's immediate memory score, dementia screening score, and delayed memory score can be obtained first based on the result data of the subject when taking the immediate memory test, dementia screening test, and delayed memory test, and then the subject's cognitive impairment auxiliary evaluation result can be obtained by using the preset evaluation rules.
[0056] Pre-set evaluation rules can be set according to the focus of the cognitive impairment to be evaluated. In some implementation schemes, the pre-set evaluation rules can be set such that if a subject's score in one or more of the following categories—immediate memory score, dementia screening score, and delayed memory score—falls below a preset threshold, the subject is determined to have cognitive impairment.
[0057] It should also be emphasized that this application has been put into practice. A comparative test was conducted on 423 subjects using the globally recognized clinical diagnostic criteria for dementia and mild cognitive impairment (PMID 25147113) and the evaluation method of this application. The former determined that 374 subjects had cognitive impairment (275 with dementia and 99 with mild cognitive impairment), while 49 had normal cognition; the latter determined that 358 subjects had cognitive impairment, while 65 had normal cognition. Therefore, the testing accuracy of this application's method is close to the results of the clinical diagnostic criteria. Furthermore, based on the ROC curve, this application's method calculated the following cutoff values: total score > 25.25, normal; 23.75 < total score ≤ 25.25, mild cognitive impairment; total score ≤ 23.75. Of the aforementioned 374 patients with cognitive impairment, 282 completed the MMSE scale test. Of these 282, 116 (41.1%) scored ≥26 points on the MMSE scale, meaning these 116 patients diagnosed with cognitive impairment would be misdiagnosed as having normal cognition using the MMSE scale. In stark contrast, of the 116 patients tested using the method described in this application, 84 (72.4%) scored ≤25.25 points, indicating cognitive dysfunction. Meanwhile, among the aforementioned 374 patients with cognitive impairment, 229 completed the MoCA-P scale (Note: the MoCA-P scale is a more precise scale than the MoCA scale). Of these 229, 34 showed normal results, meaning these 34 patients diagnosed with cognitive impairment would be misdiagnosed as having normal cognition using the MoCA-P scale. However, among the 34 subjects tested using the method of this application, 20 (58.8%) scored ≤25.25 points and were judged to have cognitive dysfunction. This shows that the misjudgment rate of the method of this application is significantly reduced. Compared with the prior art, the method of this application can more accurately assist in the evaluation of cognitive dysfunction.
[0058] In one embodiment, the subject's MMSE assessment data and MoCA assessment data (Montreal Cognitive Assessment) can also be obtained, and the subject's cognitive impairment auxiliary assessment results can be correlated with its MMSE assessment data and MoCA assessment data to verify the validity of the subject's cognitive impairment auxiliary assessment results.
[0059] Referring to Tables 1 and 2, this embodiment performs Pearson correlation analysis on the cognitive impairment auxiliary assessment results of the subjects with their MMSE and MoCA assessment data, respectively. It was found that the cognitive impairment auxiliary assessment results of the cognitive impairment auxiliary assessment method provided in this application are strongly correlated with both MMSE and MoCA (Pearson correlation coefficient with MMSE: 0.862, P<0.001), and (Pearson correlation coefficient with MoCA: 0.844, P<0.001), which proves the effectiveness of the cognitive impairment auxiliary assessment method provided in this application.
[0060] Table 1 **. The correlation is significant at level 0.01 (two-tailed).
[0061] Table 2 **. The correlation is significant at level 0.01 (two-tailed).
[0062] The cognitive impairment auxiliary assessment system provided in this application is described below. The cognitive impairment auxiliary assessment system described below can be referred to in correspondence with the cognitive impairment auxiliary assessment method described above.
[0063] This application provides an auxiliary assessment system for cognitive dysfunction, comprising:
[0064] The data receiving module is used to receive the subject's instantaneous memory data, dementia screening data, and delayed memory data from at least one terminal.
[0065] The cognitive impairment auxiliary assessment module is used to: obtain the cognitive impairment auxiliary assessment results of the subject based on the subject's immediate memory data, dementia screening data, and delayed memory data, using preset assessment rules;
[0066] The data output module is used to output the auxiliary evaluation results of the subject's cognitive dysfunction to at least one terminal.
[0067] Figure 3 illustrates a schematic diagram of the physical structure of an electronic device. As shown in Figure 3, the electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. The processor 810, communication interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions from the memory 830 to execute the following steps:
[0068] Receive the subject's immediate memory data, dementia screening data, and delayed memory data from at least one terminal;
[0069] Based on the subjects' immediate memory data, dementia screening data, and delayed memory data, and using pre-set evaluation rules, auxiliary evaluation results of the subjects' cognitive impairment were obtained.
[0070] The data output module is used to output the auxiliary evaluation results of the subject's cognitive dysfunction to at least one terminal.
[0071] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0072] On the other hand, this application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to perform the following steps:
[0073] Receive the subject's immediate memory data, dementia screening data, and delayed memory data from at least one terminal;
[0074] Based on the subjects' immediate memory data, dementia screening data, and delayed memory data, and using pre-set evaluation rules, auxiliary evaluation results of the subjects' cognitive impairment were obtained.
[0075] The data output module is used to output the auxiliary evaluation results of the subject's cognitive dysfunction to at least one terminal.
[0076] In another aspect, this application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:
[0077] Receive the subject's immediate memory data, dementia screening data, and delayed memory data from at least one terminal;
[0078] Based on the subjects' immediate memory data, dementia screening data, and delayed memory data, and using pre-set evaluation rules, auxiliary evaluation results of the subjects' cognitive impairment were obtained.
[0079] The data output module is used to output the auxiliary evaluation results of the subject's cognitive dysfunction to at least one terminal.
[0080] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.
[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A method for assisting evaluation of cognitive dysfunction, characterized by, The method comprises: receiving instant memory data, dementia screening data, and delayed memory data of a subject; obtaining an auxiliary evaluation result of cognitive impairment of the subject according to the instant memory data, the dementia screening data, and the delayed memory data of the subject and by using a preset evaluation rule.
2. The cognitive impairment assisting evaluation method according to claim 1, characterized by, The dementia screening data comprises any one or any combination of the following: time calculation data, reading data, mathematical calculation data, and action imitation data.
3. The cognitive impairment assisting evaluation method according to claim 2, characterized by, The time calculation data comprises date calculation data and / or clock calculation data based on a native language of the subject.
4. The cognitive impairment assisting evaluation method according to claim 2, characterized by, The mathematical calculation data comprises any one or any combination of the following: numerical comparison data and / or mathematical operation data.
5. The cognitive impairment assisting evaluation method according to claim 2, characterized by, The action imitation data comprises single action imitation data and / or series action imitation data.
6. The cognitive impairment assistant assessment method according to claim 1, characterized by, The delayed memory data comprises delayed memory data without a prompt clue and / or delayed memory data with a prompt clue.
7. The cognitive impairment assisting evaluation method according to any one of claims 1 to 6, characterized by, The method of obtaining the auxiliary evaluation result of cognitive impairment of the subject according to the instant memory data, the dementia screening data, and the delayed memory data of the subject and by using the preset evaluation rule comprises: obtaining an instant memory score, a dementia screening score, and a delayed memory score of the subject according to the instant memory data, the dementia screening data, and the delayed memory data of the subject; obtaining the auxiliary evaluation result of cognitive impairment of the subject according to the instant memory score, the dementia screening score, and the delayed memory score of the subject and by using the preset evaluation rule.
8. A cognitive impairment assistance evaluation system characterized by, The method comprises: a data receiving module configured to receive instant memory data, dementia screening data, and delayed memory data of a subject from at least one terminal; an auxiliary evaluation module configured to obtain an auxiliary evaluation result of cognitive impairment of the subject according to the instant memory data, the dementia screening data, and the delayed memory data of the subject and by using a preset evaluation rule; a data output module configured to output the auxiliary evaluation result of cognitive impairment of the subject to the at least one terminal.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the auxiliary evaluation method of cognitive impairment according to any one of claims 1 to 7 when executing the program. 10.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program implements the auxiliary evaluation method of cognitive impairment according to any one of claims 1 to 7 when executed by the processor.