摘要
基于运动想象(MI)的脑-机接口(BCI)作为一项新的运动损伤康复手段,在帮助改善和恢复丧失的身体功能方面具有重要的作用。然而,目前MI-BCI走向实用化仍面临着许多问题和挑战,包括MI诱发生理信号空间分辨率低、使用者训练时间较长和异步控制MI-BCI系统难以有效实现等。简要阐述MI相关的机制研究,然后针对以上问题从信号采集、信号处理算法分析、范式设计和异步控制研究等,综述相关解决方案及其研究现状,最后概述MI-BCI的应用,并展望MI-BCI未来的发展方向。
Brain-computer interface(BCI) based on motor imagery(MI) is a new rehabilitation method, which plays a significant role in helping to improve and restore physical functions of patients. However, MI-BCI still faces many challenges for practical application, including the low spatial resolution of physiological signals induced by MI, the long training time of users, and the difficulty in implementing an asynchronous control MI-BCI system. This paper briefly outlined the research of MI-related mechanisms, reviewed the relevant solutions and the research status from the aspects of signal acquisition, signal processing algorithm analysis, paradigm design and asynchronous control research. At last, we outlined the application and perspectives of MI-BCI in the future development.
作者
赵欣
陈志堂
王坤
王仲朋
周鹏
綦宏志
Zhao Xin#;Chen Zhitang;Wang Kun;Wang Zhongpeng;Zhou Peng;Qi Hongzhi(Department of Biomedical Engineering,College of Precision Instruments and Optoelectronics Engineering,Tianjin University,Tianjin 300072,China)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2019年第1期84-93,共10页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金(81630051
91648122
81571762)
关键词
运动想象
脑-机接口
信号处理
系统范式
motor imagery
brain-computer interface
signal processing
system paradigm