CN-121983320-A - Cognitive assessment method, system, device, medium and program product

CN121983320ACN 121983320 ACN121983320 ACN 121983320ACN-121983320-A

Abstract

The disclosure provides a cognitive evaluation method, a system, equipment, a medium and a program product, wherein the cognitive evaluation method comprises the steps of obtaining test data of a test object, wherein the test data comprise multi-source data generated by the test object in a cognitive test process, obtaining a fatigue index and a cognitive index of the test object based on the test data, and performing cognitive evaluation on the test object based on the fatigue index and the cognitive index. According to the method and the device, the test data of the test object are obtained, the test data comprise multi-source data generated by the test object in the test process, the fatigue index and the cognition index of the test object can be further obtained based on the multi-source test data, so that the fatigue and the cognition condition of the test object are obtained in real time, the test object is subjected to cognition assessment through the fatigue index and the cognition index, dynamic adjustment of cognition assessment can be achieved, the cognition assessment is more targeted, and the real cognition states of different individuals are accurately reflected.

Inventors

XIA MINGYUE
TANG WEI
YANG CHUAN
LI WENBO

Assignees

华院计算技术(上海)股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (10)

1. A cognitive assessment method, comprising: Acquiring test data of a test object, wherein the test data comprises multi-source data generated by the test object in a cognitive test process; Acquiring a fatigue index and a cognitive index of the test object based on the test data; performing a cognitive assessment of the test subject based on the fatigue index and the cognitive index.
2. The cognitive assessment method of claim 1, wherein the step of performing a cognitive assessment on the test subject based on the fatigue index and the cognitive index comprises: and selecting target test questions from a question bank according to the fatigue index and the cognitive index.
3. The cognitive assessment method of claim 1, wherein the test data comprises answer information and at least one of blink frequency, voice pause rate, response delay; The step of obtaining a cognitive index of the test subject based on the test data comprises: and obtaining the cognition index of the test object according to the answer information and the project response theoretical model and/or the Bayesian online learning algorithm.
4. The cognitive assessment method of claim 2, wherein the step of selecting a target test question from a question bank based on the fatigue index and the cognitive index comprises: Selecting a target test question with difficulty matched with the cognitive index from a question bank when the fatigue index is not higher than a fatigue index threshold, or selecting a target test question with difficulty matched with the cognitive index from the question bank when the fatigue index is higher than the fatigue index threshold, or selecting a target test question matched with the fatigue index and the cognitive index from the question bank based on an information maximization scheduling method and/or a reinforcement learning scheduling method; And/or the number of the groups of groups, The test is terminated prematurely based on the fatigue index.
5. The cognitive assessment method of claim 4, wherein the step of selecting a target test question from a question bank that is compatible with the fatigue index and the cognitive index based on the information maximization scheduling method comprises: Obtaining comprehensive scores of candidate test questions in a question bank; Selecting a target test question from the candidate test questions based on the comprehensive scores; The comprehensive score is calculated based on an information amount score and a load score, wherein the information amount score is related to the difficulty of the candidate test questions and the adaptation degree of the cognitive index; And/or the number of the groups of groups, The comprehensive score is calculated based on an information amount score, a load score and a cognitive stability score, wherein the information amount score is related to the difficulty of the candidate test questions and the adaptation degree of the cognitive index, the load score is related to the load of the candidate test questions and the adaptation degree of the fatigue index, and the cognitive stability score is related to the stability degree of the cognitive index.
6. The cognitive assessment method of claim 4, wherein said method further comprises: Generating a cognitive state change report, wherein the cognitive state change report comprises at least one of a task path curve, a cognitive index curve and a fatigue index curve, and the task path curve is used for representing the selection sequence of target test questions and fatigue index and cognitive index corresponding to each target test question.
7. A cognitive assessment system, the system comprising: The data acquisition module is used for acquiring test data of a test object, wherein the test data comprises multi-source data generated by the test object in a cognitive test process; the index acquisition module is used for acquiring a fatigue index and a cognitive index of the test object based on the test data; And the evaluation module is used for performing cognitive evaluation on the test object based on the fatigue index and the cognitive index.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory for execution on the processor, characterized in that the processor implements the cognitive assessment method of any one of claims 1 to 6 when executing the computer program.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the cognitive assessment method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the cognitive assessment method according to any one of claims 1-6.

Description

Cognitive assessment method, system, device, medium and program product Technical Field The present disclosure relates to the field of information processing technologies, and in particular, to a cognitive assessment method, a system, a device, a medium, and a program product. Background The cognitive evaluation has important disease diagnosis, treatment and rehabilitation significance, and can be used for identifying cognitive dysfunction, guiding clinical diagnosis and treatment, guiding clinical medication and the like. At present, the cognitive assessment takes a doctor to carry out manual assessment as a main mode, but the manual assessment is too dependent on subjective experience of the doctor, the test quality is uneven, unified standards are difficult to form, and the reliability is low. In order to overcome subjectivity of manual evaluation, a part of medical institutions put forward unified standardized test papers as evaluation basis, such as MMSE (simple mental state examination), moCA (Montreal cognitive evaluation) and the like, and the tools are widely applied to clinic and research, but the design of rigidity is difficult to fully consider the remarkable differences of different crowds in terms of age, educational background, cultural level, language habit, physical condition, cognitive disorder type and the like. For example, elderly people with a low education level may perform poorly in questions involving reading, writing or abstract reasoning, but this does not necessarily reflect an impairment of their true cognitive function, whereas highly functional individuals, even with early neurodegenerative disease, may perform normally in standard tests due to a high cognitive reserve, resulting in missed diagnosis. Therefore, the existing cognitive assessment method has obvious tension between standardization and individuation, and cannot reflect the true cognitive states of different individuals more accurately. Disclosure of Invention The technical problem to be solved by the present disclosure is to provide a cognitive assessment method, system, device, medium and program product for overcoming the defect that the existing cognitive assessment method is difficult to accurately assess the real cognitive states of different individuals. The technical problems are solved by the following technical scheme: The present disclosure provides a cognitive assessment method comprising: Acquiring test data of a test object, wherein the test data comprises multi-source data generated by the test object in a cognitive test process; Acquiring a fatigue index and a cognitive index of the test object based on the test data; performing a cognitive assessment of the test subject based on the fatigue index and the cognitive index. Optionally, the step of performing a cognitive assessment of the test subject based on the fatigue index and the cognitive index comprises: and selecting target test questions from a question bank according to the fatigue index and the cognitive index. Optionally, the test data comprises answer information and at least one of blink frequency, voice pause rate and response delay; The step of obtaining a cognitive index of the test subject based on the test data comprises: and obtaining the cognition index of the test object according to the answer information and the project response theoretical model and/or the Bayesian online learning algorithm. Optionally, the step of selecting the target test question from the question bank according to the fatigue index and the cognitive index includes: And when the fatigue index is not higher than the fatigue index threshold, selecting a target test question with difficulty matched with the cognitive index from a question bank. Optionally, the step of selecting the target test question from the question bank according to the fatigue index and the cognitive index includes: and selecting target test questions matched with the fatigue index and the cognitive index from a question bank based on an information quantity maximization scheduling method and/or a reinforcement learning scheduling method. Optionally, the step of selecting the target test question from the question bank according to the fatigue index and the cognitive index includes: The test is terminated prematurely based on the fatigue index. Optionally, the step of selecting the target test questions adaptive to the fatigue index and the cognitive index from the question bank based on the information quantity maximization scheduling method includes: Obtaining comprehensive scores of candidate test questions in a question bank; Selecting a target test question from the candidate test questions based on the comprehensive scores; The comprehensive score is calculated based on an information amount score and a load score, the information amount score is related to the difficulty of the candidate test questions and the adaptation degree of the cognitive index, and the load score is related