CN-122025116-A - Digital memory function evaluation system and method based on structured story scene

CN122025116ACN 122025116 ACN122025116 ACN 122025116ACN-122025116-A

Abstract

The invention discloses a digital memory function evaluation system and method based on a structured story scene. The system comprises a structured story scene library, a multi-mode material library, an evaluation execution module and a memory evaluation module, wherein the structured story scene library is prestored with story templates containing a plurality of logic consecutive life scenes, each scene is defined with key information points, the multi-mode material library is used for storing a plurality of replaceable materials corresponding to the key information points, the evaluation execution module is used for calling the story templates in single evaluation, selecting and loading the materials for the key information points through random extraction logic to generate personalized test contents, and then presenting and collecting response data of the personalized test contents to a subject, and the memory evaluation module is used for calculating memory function indexes according to the response data so as to evaluate the memory level. According to the invention, by combining the structured story scene with the multi-mode material random replacement, the test content with different contents and similar structural difficulty can be generated, the learning effect in repeated test is effectively overcome, and the ecological efficiency and retest reliability are obviously improved.

Inventors

MA YANJUN
TANG YI

Assignees

首都医科大学宣武医院

Dates

Publication Date: 20260512
Application Date: 20251212

Claims (10)

1. A digitized memory function assessment system based on a structured story scene, comprising: The method comprises the steps of structuring a story scene library, pre-storing at least one story template, wherein the story template comprises a plurality of logically-connected life scenes, and a plurality of key information points are defined in each life scene; A multi-mode material library, which is pre-stored with a plurality of replaceable materials corresponding to each key information point; The system comprises an evaluation execution module, a test execution module and a test module, wherein the evaluation execution module is used for executing a memory function evaluation operation in a single evaluation process, and the memory function evaluation execution operation comprises the steps of calling any story template from the structured story scene library, randomly selecting and loading corresponding materials for key information points in the story template based on a preset random extraction logic from the multi-mode material library to generate personalized test content of the evaluation; and a memory assessment module for calculating a memory function index of the subject based on the response data of the subject, thereby assessing a memory level of the subject.
2. The digitized memory function assessment system of claim 1 wherein: the multi-mode material library comprises a plurality of material sub-libraries, and each material sub-library is respectively associated with a type of key information point.
3. The digitized memory function assessment system of claim 2 wherein in said assessment execution module, said personalized test content is obtained by: determining the type of each key information point according to each key information point in the story template; Randomly extracting a set of materials from the corresponding material sub-library based on the random extraction logic aiming at each key information point; And loading the materials corresponding to all the key information points into the story template together to form the personalized test content.
4. The digitized memory function assessment system of claim 3 wherein said random decimation logic is configured to: predefining metadata tags including at least commonality and complexity for the materials in the multimodal materials library; Based on the metadata tag, extracting materials through a preset random algorithm so as to enable the overall difficulty of different personalized test contents generated by the same story template to be close; The overall difficulty of the personalized test content is evaluated based on the metadata tags of the materials.
5. The digitized memory function assessment system of claim 1 wherein: The story template is preset with the appearance sequence of a plurality of life scenes, the logic relation among the life scenes and key information points to be memorized in each life scene.
6. The digitized memory function assessment system of claim 2 wherein: each material in the multi-mode material library is generated according to a preset rule by utilizing a generation type artificial intelligence technology, and is stored into a corresponding material sub-library after being manually checked.
7. The digitized memory function assessment system of claim 1 wherein: The memory function index is a weighted correct rate; the weighted accuracy is calculated based on a weight distributed to each key information point in the test, and the weight is determined based on the type and/or the presentation mode corresponding to the key information point; wherein the presentation modality of the key information points includes one or more of text presentation, picture presentation and voice presentation.
8. A digitized memory function assessment method based on a structured story scene, implemented by the digitized memory function assessment system of any one of claims 1-7, characterized by comprising the steps of: invoking any one story template from the structured story scene library; Based on the story template and based on preset random extraction logic, randomly selecting and loading corresponding materials for key information points in the story template from a multi-mode material library to generate personalized test contents of the evaluation; presenting the personalized test content to a subject; Collecting response data of the subject to the personalized test content; Based on the response data of the subject, a memory function index of the subject is calculated, thereby evaluating a memory level of the subject.
9. The method for digitized memory function assessment of claim 8 wherein said presenting said personalized test content to a subject comprises: presented in one or more combination modes of screen images, screen characters and voice descriptions, and the interface design complies with the aging principle; wherein the following of the aging fit principle at least comprises the use of large fonts, high contrast colors and compact layout.
10. An intelligent terminal, characterized by comprising a memory and a processor, wherein the memory is coupled to the processor for storing a computer program, which when executed by the processor, causes the processor to implement the digitized memory function assessment method of claim 8 or 9.

Description

Digital memory function evaluation system and method based on structured story scene Technical Field The invention relates to a digital memory function evaluation system based on a structured story scene, and also relates to a corresponding digital memory function evaluation method, belonging to the technical field of cognitive evaluation. Background Memory function assessment is a key link of neuropsychology and clinical medicine. Currently commonly used assessment tools are mainly divided into the following three categories: (1) Traditional paper pen tests such as Wedner Memory Scale (WMS), revisions thereof, auditory word learning test (AVLT), and the like. The tool mostly adopts fixed word list, graph or story as memory material, which has the defects of single material and high repeated use rate, and easily causes obvious learning effect, namely, the subjects are improved in performance due to familiarity, but the non-memory function is truly improved, so the tool is not suitable for monitoring scenes requiring short-term and multiple measurement. In addition, the ecological effectiveness of the test is generally low, the material is limited to a simple article name, and the materials lack abstract information such as numbers, dates and the like and visual memory materials, so that the memory capacity of a subject in a daily real environment is difficult to reflect. (2) The primary digitizing tool is characterized in that part of the tools only digitize the traditional test (for example, a word list is presented on a tablet personal computer) without breaking through the original paradigm, and other tools adopt continuous picture reconfirming modes such as MemTrax and the like, and the tools have multiple sets of materials, are simple and convenient to operate, lack of logic association among the materials, have isolated content and can not simulate a complex real life scene. The design limitation not only reduces the ecological effectiveness of the test, but also influences the retest reliability due to limited information bearing capacity and single situation. (3) A Virtual Reality (VR) assessment tool can provide a life scene with high immersion, has good ecological efficiency, but depends on expensive special hardware, has poor accessibility, and is difficult to popularize and apply in communities, families and most clinical environments. In summary, in clinical diagnosis and research of cognitive disorder diseases at present, a memory function assessment tool which is suitable for repeated monitoring and has high ecological efficiency is still lacking. The gap not only prevents effective tracking of patient memory changes, but also limits timely evaluation and feedback of clinical intervention effects, thereby affecting patient compliance and clinical study efficiency. Therefore, how to realize repeated measurement of memory function with high ecological efficiency while avoiding significant learning effect has become a core technical problem to be solved in the art. Disclosure of Invention The invention aims to provide a digital memory function evaluation system based on a structured story scene. The invention aims to provide a digital memory function assessment method based on a structured story scene. In order to achieve the technical purpose, the invention adopts the following technical scheme: according to a first aspect of an embodiment of the present invention, there is provided a digitized memory function assessment system based on a structured story scene, including: The method comprises the steps of structuring a story scene library, pre-storing at least one story template, wherein the story template comprises a plurality of logically-connected life scenes, and a plurality of key information points are defined in each life scene; A multi-mode material library, which is pre-stored with a plurality of replaceable materials corresponding to each key information point; The system comprises an evaluation execution module, a test execution module and a test module, wherein the evaluation execution module is used for executing a memory function evaluation operation in a single evaluation process, and the memory function evaluation execution operation comprises the steps of calling any story template from the structured story scene library, randomly selecting and loading corresponding materials for key information points in the story template based on a preset random extraction logic from the multi-mode material library to generate personalized test content of the evaluation; and a memory assessment module for calculating a memory function index of the subject based on the response data of the subject, thereby assessing a memory level of the subject. Preferably, the multi-mode material library comprises a plurality of material sub-libraries, and each material sub-library is respectively associated with a type of key information point. Preferably, in the evaluation execution module, the personali