基于VR与交互技术的MCI患者认知训练辅助决策系统  

Cognitive training assistant decision system for MCI patients based on VR and interactive technology

作　　者：艾伟平 张晓杰 郭占芳 贾婕 王永涵 AI Weiping;ZHANG Xiaojie;GUO Zhanfang;JIA Jie;WANG Yonghan(The First Department of Neurology,Zhangjiakou Hebei 075000,China)

机构地区：[1]张家口市第一医院,河北张家口075000

出　　处：《自动化与仪器仪表》2023年第2期213-217,共5页Automation & Instrumentation

基　　金：张家口市重点研发计划项目《计算机化认知训练对轻度认知障碍患者的作用》(2121185D);河北省科技攻关计划项目(1621048D)。

摘　　要：目前的应用辅助决策系统选择认知训练方案时主要通过数据分析模型提取特征属性,使得系统应用后决策时间依旧较长,为此提出基于VR与交互技术的MCI患者认知训练辅助决策系统。硬件方面,设计了Agent和通信模块。软件方面,调用大量MCI患者认知训练数据,建立决策支持数据库。通过三维建模软件实现VR与交互技术,构建虚拟认知训练场景,帮助决策人员直接获取不同认知训练方案具有的特征属性。运用建立多层次辅助决策模型,生成最佳认知训练方案,再与决策支持数据库相连接,提供实时辅助决策支持。系统测试结果表明:所提辅助决策系统应用后,使得认知训练决策时间缩短了2/3,有效提升了决策效率。At present, the application of auxiliary decision-making system mainly extracts the feature attributes through the data analysis model when selecting the cognitive training scheme, so that the decision-making time after the application of the system is still long. Therefore, an MCI patient cognitive training auxiliary decision-making system based on VR and interactive technology is proposed. In terms of hardware, agent and communication module are designed. In terms of software, call a large number of cognitive training data of MCI patients and establish a decision support database. VR and interaction technology are realized through three-dimensional modeling software, and virtual cognitive training scenes are constructed to help decision-makers directly obtain the characteristic attributes of different cognitive training schemes. A multi-level auxiliary decision-making model is established to generate the best cognitive training scheme, which is then connected with the decision support database to provide real-time auxiliary decision-making support. The system test results show that after the application of the proposed auxiliary decision-making system, the decision-making time of cognitive training is shortened by 2/3, and the decision-making efficiency is effectively improved.

关 键 词：虚拟现实 交互技术 MCI患者 认知训练 辅助决策 智能体Agent 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]