Cognitive impairment grade evaluation method for cognitive impairment user group
By setting the testing cycles for MMSE and MoCA, constructing trend graphs and identifying similarities, and combining them with grading evaluation factors, a high-precision grading assessment of cognitive impairment users was achieved. This solves the problem of reduced evaluation accuracy in existing technologies and provides a more valuable rehabilitation treatment plan.
Patent Information
- Application Number
- CN202510912011.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-02
- Publication Date
- 2025-10-31
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The accuracy of existing methods for assessing the level of cognitive impairment in the cognitive impairment population gradually decreases as the detection becomes more detailed, and they cannot provide high-precision assessments.
By setting the MMSE and MoCA testing cycles, a trend graph is constructed to identify graph similarity. Combined with the level evaluation factors, the cognitive impairment level is updated and evaluated in real time. The MMSE and MoCA test results are used for continuous monitoring and evaluation.
It provides a more accurate assessment of cognitive impairment levels, helping medical staff to develop effective rehabilitation treatment plans and improving monitoring effectiveness.
Smart Images
Figure CN120859490A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data analysis technology, and specifically to a method for assessing the level of cognitive impairment in a group of people with cognitive impairment. Background Technology
[0002] The cognitive impairment group refers to people with abnormalities or deficits in cognitive function.
[0003] This group may include patients with various types of dementia, such as Alzheimer's disease, Parkinson's disease-related dementia, vascular dementia, and frontotemporal dementia, who experience varying degrees of impairment in memory, language, attention, judgment, and problem-solving abilities.
[0004] In addition, some people with cognitive impairment caused by brain injury (such as trauma, stroke, etc.), neurological diseases, mental illnesses or developmental problems also fall into this category.
[0005] However, the existing methods for assessing the level of cognitive impairment in the cognitive impairment population have not been innovated for a long time, and the accuracy of the assessment has gradually decreased as the detection of cognitive impairment becomes more detailed.
[0006] Therefore, we propose a method for evaluating the cognitive impairment level of a cognitive impairment user group. Summary of the Invention
[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a method for evaluating the cognitive impairment level of a cognitive impairment user group, which solves the technical problems mentioned in the background.
[0008] To achieve the above objectives, the present invention provides the following technical solution:
[0009] A method for assessing the level of cognitive impairment in a population with cognitive impairment includes:
[0010] The study establishes a detection cycle for MMSE and MoCA in users with cognitive impairment, and performs MMSE and MoCA tests on these users in real time based on this cycle. It acquires the MMSE and MoCA test results and constructs a database to store these results. The study iterates through the accumulated MMSE and MoCA test results in the database, constructing trend graphs representing the changes in MMSE and MoCA for each user. It then acquires the trend graphs for each user's MMSE and MoCA and identifies the similarity between the two trend graphs. Finally, it iterates through these trend graphs to determine if the user's cognitive impairment has worsened. A cognitive impairment level assessment factor is established, and the latest two sets of test results are retrieved from the trend graphs representing the changes in MMSE and MoCA for each user. This assessment factor is then used to evaluate the user's cognitive impairment level.
[0011] Furthermore, the setting of the MMSE and MoCA testing cycles for the cognitively impaired users follows the following:
[0012]
[0013] In the formula: ε is the reference value for setting the detection period; k1 is the completion rate of cognitively impaired users in the MMSE test; k2 is the completion rate of cognitively impaired users in the MoCA test; ω1 is the weight; d is the MMSE and MoCA detection period configured for cognitively impaired users; χ is the initial detection period;
[0014] Wherein, the weight ω1∈(0,1), the MMSE and MoCA test cycle for cognitive impairment users is executed once before being set, and the MMSE and MoCA test cycle for cognitive impairment users is reset based on the MMSE and MoCA test results after each MMSE and MoCA test.
[0015] Furthermore, the MMSE and MoCA test results of the cognitively impaired users are manually uploaded by the users. When the application builds a database to store the MMSE and MoCA test results of the cognitively impaired users, the identity information of the cognitively impaired users is simultaneously entered and marked on the MMSE and MoCA test results of the cognitively impaired users. During the storage stage of the MMSE and MoCA test results of the cognitively impaired users, the user identity information corresponding to the marked MMSE and MoCA test results of the cognitively impaired users is simultaneously identified, and the MMSE and MoCA test results of cognitively impaired users with consistent user identity information are stored in the same distinguished storage area in the database.
[0016] Furthermore, the MMSE and MoCA test results of the cognitively impaired users are manually uploaded by the users. When the application builds a database to store the MMSE and MoCA test results of the cognitively impaired users, the identity information of the cognitively impaired users is simultaneously entered and marked on the MMSE and MoCA test results of the cognitively impaired users. During the storage stage of the MMSE and MoCA test results of the cognitively impaired users, the user identity information corresponding to the marked MMSE and MoCA test results of the cognitively impaired users is simultaneously identified, and the MMSE and MoCA test results of cognitively impaired users with consistent user identity information are stored in the same distinguished storage area in the database.
[0017] Furthermore, the graph representing the changing trends of MMSE and MoCA in cognitive impairment users shows the MMSE and MoCA detection results of cognitive impairment users, which are synchronously updated based on the iterative updates of the MMSE and MoCA detection results of cognitive impairment users in the database.
[0018] Furthermore, the graph representing the changing trends of MMSE and MoCA in cognitively impaired users is a line graph.
[0019] Furthermore, the similarity between the trend graph of the change in the MMSE direction of the cognitively impaired user and the trend graph of the change in the MoCA direction of the cognitively impaired user is calculated by the following formula:
[0020]
[0021] Where: S represents the similarity between the trend graph of MMSE direction and the trend graph of MoCA direction for users with cognitive impairment; n is the set of points in the two trend graphs; (x i ,y i (u) represents the coordinate sequence of point i in the trend graph of MMSE direction change for cognitively impaired users; i ,v i () represents the coordinate sequence of the i-th point in the graph showing the changing trend of the MoCA direction for users with cognitive impairment;
[0022] Wherein, the larger the value of S, the higher the similarity between the two sets of trend graphs, and vice versa.
[0023] Furthermore, the similarity between the two sets of trend graphs reflects the stability of cognitive impairment changes in users with cognitive impairment. The larger the value of S, the more stable the cognitive impairment changes in users with cognitive impairment, and vice versa.
[0024] Furthermore, the logic for determining whether the cognitive impairment problem of the aforementioned user has worsened is as follows:
[0025]
[0026] In the formula: kx represents the completion rate of the latest MMSE or MoCA test in the trend graph of the change direction of cognitive impairment users; kx -1 This represents the completion rate compared to the previous detection of kx; k first The earliest represented completion rate in the MMSE or MoCA test in the trend graph of changes in the MMSE or MoCA direction for users with cognitive impairment.
[0027] If both equation (1) and equation (2) are true, it means that the cognitive impairment problem of the user has been improved. If either equation (1) or equation (2) is true, it means that the cognitive impairment problem of the user has not worsened. If neither equation (1) nor equation (2) is true, it means that the cognitive impairment problem of the user has worsened.
[0028] Furthermore, the logical representation for assessing the level of cognitive impairment in users is as follows:
[0029]
[0030] In the formula: g represents the cognitive impairment level of the user; λ represents the cognitive impairment level assessment factor; k(MMSE) new The latest set of MMSE completion scores in the trend graph of changes in the MMSE direction for users with cognitive impairment; k(MoCA) new The latest set of MMSE test completion rates in the trend graph of changes in the MoCA direction for users with cognitive impairment;
[0031] Among them, the cognitive impairment level g of cognitive impairment users is truncated to one decimal place.
[0032] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:
[0033] This invention provides a method for evaluating the cognitive impairment level of a cognitive impairment user group. During the execution of this method, MMSE and MoCA tests are used as contacts to analyze the completion rate of MMSE and MoCA tests. The method is configured with a continuous and specific testing cycle to continuously observe the MMSE and MoCA test results of cognitive impairment users, thereby ultimately assessing the cognitive impairment level of cognitive impairment users. This provides more valuable reference for medical staff to plan rehabilitation treatment, and also brings a certain monitoring effect to the cognitive impairment user group. Attached Figure Description
[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.
[0035] Figure 1 This is a flowchart illustrating a method for assessing the cognitive impairment level of a user group with cognitive impairment. Detailed Implementation
[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention 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 the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0037] The present invention will be further described below with reference to embodiments.
[0038] Example 1:
[0039] This embodiment presents a method for assessing the level of cognitive impairment in a group of users with cognitive impairment, such as... Figure 1 As shown, it includes the following steps:
[0040] Step 1: Set the testing cycle for MMSE and MoCA for users with cognitive impairment, and perform MMSE and MoCA tests on users with cognitive impairment in real time based on the set testing cycle;
[0041] The setting of the MMSE and MoCA testing cycle for users with cognitive impairment shall comply with:
[0042]
[0043] In the formula: ε is the reference value for setting the detection period; k1 is the completion rate of cognitively impaired users in the MMSE test; k2 is the completion rate of cognitively impaired users in the MoCA test; ω1 is the weight; d is the MMSE and MoCA detection period configured for cognitively impaired users; χ is the initial detection period;
[0044] Wherein, the weight ω1∈(0,1), the MMSE and MoCA detection cycle for cognitive impairment users is executed once before setting, and the MMSE and MoCA detection cycle for cognitive impairment users is reset based on the MMSE and MoCA detection results after each MMSE and MoCA detection.
[0045] Step 2: Obtain the MMSE and MoCA test results of users with cognitive impairment, and build a database to store the obtained MMSE and MoCA test results of users with cognitive impairment;
[0046] Step 3: Traverse the accumulated MMSE and MoCA test results of cognitive impairment users stored in the database, and construct graphs representing the changing trends of MMSE and MoCA in the direction of cognitive impairment users based on the MMSE and MoCA test results of cognitive impairment users;
[0047] Step 4: Obtain trend graphs of the changes in the MMSE and MoCA directions of users with cognitive impairment, and identify the similarity between the two sets of trend graphs;
[0048] The similarity between the trend graphs of MMSE and MoCA in cognitively impaired users is calculated using the following formula:
[0049]
[0050] Where: S represents the similarity between the trend graph of MMSE direction and the trend graph of MoCA direction for users with cognitive impairment; n is the set of points in the two trend graphs; (x i ,y i (u) represents the coordinate sequence of point i in the trend graph of MMSE direction change for cognitively impaired users; i ,v i () represents the coordinate sequence of the i-th point in the graph showing the changing trend of the MoCA direction for users with cognitive impairment;
[0051] Where, the larger S is, the higher the similarity between the two sets of trend graphs, and vice versa.
[0052] Step 5: Traverse the trend graphs of MMSE and MoCA for users with cognitive impairment to determine whether their cognitive impairment has worsened.
[0053] The logic for determining whether a user's cognitive impairment has worsened is as follows:
[0054]
[0055] In the formula: kx represents the completion rate of the latest MMSE or MoCA test in the trend graph of the change direction of cognitive impairment users; kx -1 This represents the completion rate compared to the previous detection of kx; k firstThe earliest represented completion rate in the MMSE or MoCA test in the trend graph of changes in the MMSE or MoCA direction for users with cognitive impairment.
[0056] If both equation (1) and equation (2) are true, it means that the cognitive impairment problem of the cognitive impairment user has been improved. If either equation (1) or equation (2) is true, it means that the cognitive impairment problem of the cognitive impairment user has not worsened. If neither equation (1) nor equation (2) is true, it means that the cognitive impairment problem of the cognitive impairment user has worsened.
[0057] Step 6: Set cognitive impairment level evaluation factors, obtain the latest two sets of test results from the graph showing the changing trends of MMSE and MoCA for cognitive impairment users, and evaluate the cognitive impairment level of cognitive impairment users in combination with the cognitive impairment level evaluation factors.
[0058] The logical representation for assessing the level of cognitive impairment in users is as follows:
[0059]
[0060] In the formula: g represents the cognitive impairment level of the user; λ represents the cognitive impairment level assessment factor; k(MMSE) new The latest set of MMSE completion scores in the trend graph of changes in the MMSE direction for users with cognitive impairment; k(MoCA) new The latest set of MMSE test completion rates in the trend graph of changes in the MoCA direction for users with cognitive impairment;
[0061] Among them, the cognitive impairment level g of cognitive impairment users is truncated to one decimal place.
[0062] In this embodiment, by executing the steps of the method described in the above embodiments, a new and more accurate method for evaluating the level of cognitive impairment is provided for users with cognitive impairment. Based on the evaluation of the level of cognitive impairment of users, this provides effective reference for medical staff and ensures that the rehabilitation treatment plan made by medical staff for users with cognitive impairment has a better practical application effect.
[0063] Example 2:
[0064] At the implementation level, based on Example 1, this example refers to... Figure 1 The method for assessing the level of cognitive impairment in a group of users with cognitive impairment in Example 1 will be further explained in detail below:
[0065] The MMSE and MoCA test results of users with cognitive impairment are manually uploaded by the user. When the application builds the database to store the MMSE and MoCA test results of users with cognitive impairment, the user's identity information is simultaneously entered and marked on the MMSE and MoCA test results. During the storage phase of the database, the user's identity information corresponding to the marked MMSE and MoCA test results of users with cognitive impairment is identified simultaneously. The MMSE and MoCA test results of users with cognitive impairment whose identity information matches are stored in the same separate storage area in the database.
[0066] like Figure 1 As shown, the database has a set of data iteration cycles. Based on the data iteration cycle, the database deletes the MMSE and MoCA test results of cognitively impaired users stored internally from the earliest to the latest according to the time sequence. Each region in the database is configured with a set of data iteration cycles, and the data iteration cycles configured for each region are subject to the following: the shorter the MMSE and MoCA test cycle d is configured for cognitively impaired users, the longer the data iteration cycle is, and vice versa.
[0067] The database contains at least five sets of MMSE and MoCA test results for cognitively impaired users in each storage area.
[0068] The graph showing the trend of MMSE and MoCA in cognitive impairment users represents the MMSE and MoCA test results of cognitive impairment users. It is updated synchronously based on the iterative updates of the MMSE and MoCA test results of cognitive impairment users in the database.
[0069] like Figure 1 As shown, the trend of changes in MMSE and MoCA for cognitively impaired users is represented by a line graph.
[0070] like Figure 1 As shown, the similarity between the two sets of trend graphs reflects the stability of changes in cognitive impairment among users with cognitive impairment. The larger the value of S, the more stable the changes in cognitive impairment among users with cognitive impairment, and vice versa.
[0071] In this embodiment, the above settings provide further data support for the execution of the steps in the method of embodiment 1, ensuring that the execution of the steps in the method of embodiment 1 is more stable and reliable.
[0072] In summary, the method described in the above embodiments uses MMSE and MoCA tests as contacts during execution, analyzes the completion rate of MMSE and MoCA tests, and is configured with continuous and specific testing cycles to continuously observe the MMSE and MoCA test results of cognitive impairment users. Ultimately, it assesses the cognitive impairment level of cognitive impairment users, so as to provide medical staff with more valuable references for rehabilitation treatment planning, and at the same time bring a certain monitoring effect to the cognitive impairment user group.
[0073] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention 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 will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for assessing the level of cognitive impairment in a user group with cognitive impairment, characterized in that, Includes the following steps: Step 1: Set the testing cycle for MMSE and MoCA for users with cognitive impairment, and perform MMSE and MoCA tests on users with cognitive impairment in real time based on the set testing cycle; Step 2: Obtain the MMSE and MoCA test results of users with cognitive impairment, and build a database to store the obtained MMSE and MoCA test results of users with cognitive impairment; Step 3: Traverse the accumulated MMSE and MoCA test results of cognitive impairment users stored in the database, and construct graphs representing the changing trends of MMSE and MoCA directions of cognitive impairment users based on the MMSE and MoCA test results of cognitive impairment users respectively; Step 4: Obtain trend graphs of the changes in the MMSE and MoCA directions of users with cognitive impairment, and identify the similarity between the two sets of trend graphs; Step 5: Traverse the trend graphs of MMSE and MoCA for users with cognitive impairment to determine whether their cognitive impairment has worsened. Step 6: Set cognitive impairment level evaluation factors, obtain the latest two sets of test results from the graph showing the changing trends of MMSE and MoCA for cognitive impairment users, and evaluate the cognitive impairment level of cognitive impairment users in combination with the cognitive impairment level evaluation factors.
2. The method for evaluating the cognitive impairment level of a cognitive impairment user group according to claim 1, characterized in that, The setting of the MMSE and MoCA testing cycle for the cognitive impairment users shall conform to: In the formula: ε is the reference value for setting the detection period; k1 is the completion rate of cognitively impaired users in the MMSE test; k2 is the completion rate of cognitively impaired users in the MoCA test; ω1 is the weight; d is the MMSE and MoCA detection period configured for cognitively impaired users; χ is the initial detection period; Wherein, the weight ω1∈(0,1), the MMSE and MoCA test cycle for cognitive impairment users is executed once before being set, and the MMSE and MoCA test cycle for cognitive impairment users is reset based on the MMSE and MoCA test results after each MMSE and MoCA test.
3. The method for evaluating the cognitive impairment level of a cognitive impairment user group according to claim 1, characterized in that, The MMSE and MoCA test results of the cognitively impaired users are manually uploaded by the users. When the application builds a database to store the MMSE and MoCA test results of the cognitively impaired users, the identity information of the cognitively impaired users is simultaneously entered and marked on the MMSE and MoCA test results of the cognitively impaired users. During the storage stage of the MMSE and MoCA test results of the cognitively impaired users, the user identity information corresponding to the marked MMSE and MoCA test results of the cognitively impaired users is simultaneously identified. The MMSE and MoCA test results of cognitively impaired users with consistent user identity information are stored in the same distinguished storage area in the database.
4. The method for evaluating the cognitive impairment level of a cognitive impairment user group according to claim 1, characterized in that, The database is configured with a data iteration cycle. Based on the data iteration cycle, the database deletes the MMSE and MoCA test results of cognitively impaired users stored in the database from the earliest to the latest according to the time sequence. Each storage area in the database is configured with a set of data iteration cycles, and the data iteration cycles configured for each storage area follow the rule that the shorter the MMSE and MoCA test cycle d is configured for cognitively impaired users, the longer the data iteration cycle is, and vice versa. The database contains at least five sets of MMSE and MoCA test results for cognitively impaired users in each storage interval.
5. A method for evaluating the cognitive impairment level of a cognitive impairment user group according to claim 1 or 4, characterized in that, The graph representing the changing trends of MMSE and MoCA in cognitive impairment users shows the MMSE and MoCA detection results of cognitive impairment users, which are synchronously updated based on the iterative updates of the MMSE and MoCA detection results of cognitive impairment users in the database.
6. The method for evaluating the cognitive impairment level of a cognitive impairment user group according to claim 1, characterized in that, The graph representing the changing trends of MMSE and MoCA in cognitively impaired users is a line graph.
7. The method for evaluating the level of cognitive impairment in a user group with cognitive impairment according to claim 1, characterized in that, The similarity between the trend graphs of the MMSE direction and the MoCA direction of the cognitively impaired user is calculated using the following formula: In the formula: S is the similarity between the trend graph of the MMSE direction of cognitively impaired users and the trend graph of the MoCA direction of cognitively impaired users; n is the set of points in the two trend graphs; (x i ,y i () represents the coordinate sequence of the i-th point in the graph showing the changing trend of the MMSE direction for users with cognitive impairment; (u i ,v i (i) represents the coordinate sequence of the i-th point in the graph showing the changing trend of the MoCA direction for users with cognitive impairment. Wherein, the larger the value of S, the higher the similarity between the two sets of trend graphs, and vice versa.
8. The method for evaluating the level of cognitive impairment in a user group with cognitive impairment according to claim 7, characterized in that, The similarity between the two sets of trend graphs reflects the stability of changes in cognitive impairment among users with cognitive impairment. The larger the value of S, the more stable the changes in cognitive impairment among users with cognitive impairment, and vice versa.
9. The method for evaluating the level of cognitive impairment in a user group with cognitive impairment according to claim 1, characterized in that, The logic for determining whether the cognitive impairment problem of the aforementioned user has worsened is as follows: In the formula: kx represents the completion rate of the latest MMSE or MoCA test in the trend graph of the change direction of cognitive impairment users; kx -1 This represents the completion rate compared to the previous detection of kx; k first The earliest represented completion rate in the MMSE or MoCA test in the trend graph of changes in the MMSE or MoCA direction for users with cognitive impairment. If both equation (1) and equation (2) are true, it means that the cognitive impairment problem of the user has been improved. If either equation (1) or equation (2) is true, it means that the cognitive impairment problem of the user has not worsened. If neither equation (1) nor equation (2) is true, it means that the cognitive impairment problem of the user has worsened.
10. The method for evaluating the level of cognitive impairment in a user group with cognitive impairment according to claim 1, characterized in that, The logical representation for assessing the level of cognitive impairment in users is as follows: In the formula: g represents the cognitive impairment level of the user; λ represents the cognitive impairment level assessment factor; k(MMSE) new The latest set of MMSE completion scores in the trend graph of changes in the MMSE direction for users with cognitive impairment; k(MoCA) new The latest set of MMSE test completion rates in the trend graph of changes in the MoCA direction for users with cognitive impairment; Among them, the cognitive impairment level g of cognitive impairment users is truncated to one decimal place.