北京生物医学工程2012，Vol.31Issue(1)：72-76,5.DOI:10.3969/ j.issn. 1002-3208(2012)01.16.
一种运动想象脑机接口训练系统的设计
Training system for brain computer interface based on motor imagery
摘要
Abstract
Objective To improve the training efficiency of brain computer interlace(BCI)training based on motor imagery,the paper designs a training system including parameter setting,electroencephalography (EEG)acquisition,teature extraction,classification,feedback of results and the foundation of classifier model.Methods Firstly,the training system acquires the EEG signals of motor imagery by EEG acquisition software,and then transmits data to MATLAB with TCP/IP protoc01.So the feature extraction and classification are realized in the MATLAB.After that,the training system feedbacks the recognition results with the progress bar at the same time,and allows subjects to adjust their status in the training.Finally the system generates an effective classification model by choosing a proper feedback nlode in a short time.Results The characteristics of the system are convenient intervention,powertul funotion and friendly interlace.A BCI online system is established to test the training system and an effective classification model can be completed in a relatively short period of time.Conclusions The training system can improve the recognition rate and shorten the training time for BCI application systems.Which lays the toundations for BCI application systems.关键词
脑机接口/训练系统/交互训练Key words
brain computer interface/training system/mutual training分类
医药卫生引用本文复制引用
杨帮华,陆文宇,郑晓明,刘丽..一种运动想象脑机接口训练系统的设计[J].北京生物医学工程,2012,31(1):72-76,5.基金项目
国家自然科学基金项目(60975079,31100709)、上海市教育委员会创新项目(11YZ19) （60975079,31100709）
