基于分布式架构的脑机接口教学系统设计与实现  

Design and implementation of brain-computer interface teaching system based on distributed architecture

作　　者：刘永博 张洪欣[1] 杨晨[1] LIU Yongbo;ZHANG Hongxin;YANG Chen(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学电子工程学院,北京100876

出　　处：《信息通信技术与政策》2025年第3期2-10,共9页Information and Communications Technology and Policy

基　　金：国家自然科学基金项目(No.62376035、No.62006024、No.62071057)。

摘　　要：脑机接口目前发展迅猛,其应用范围十分广泛。脑机接口虽然在技术层面发展十分迅速,但在人才培养方面却存在很大缺口。基于分布式架构的脑机接口教学系统通过整合理论与实践,实现了算法提交、测评和反馈等功能,取得了帮助学生实时检测学习成果、支持教师进行针对性指导的效果。系统采用模块化设计,支持云端和本地部署,利用消息中间件和注册中心实现高效通信与调度。通过降低学习门槛,提升实践机会,该系统有效解决了脑机接口教学中实践不足、评价模式单一等问题,为培养脑机接口人才提供了重要支撑。Brain-Computer Interfaces(BCIs)are currently developing rapidly and their application scope is very wide.However,although the BCI is developing very rapidly at the technical level,there is a big gap in the training of BCI talents.The BCI teaching system based on distributed architecture realizes the functions of algorithm submission,evaluation and feedback by integrating theory and practice,and achieves the effect of helping students to check learning results in real time and supporting teachers to provide targeted guidance.The system adopts modular design,supports cloud and local deployment,and utilizes message middleware and registry to achieve efficient communication and scheduling.By lowering the learning threshold and enhancing the practice opportunities,the system effectively solves the problems of insufficient practice and homogeneous evaluation model in the teaching of BCI,and provides important support for the training of BCI talents.

关 键 词：脑机接口 教学系统 实践教学 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]