|本期目录/Table of Contents|

[1]翟文文,杨玉娜,鲁守银,等.上肢康复训练机器人的脑机接口系统研究*[J].生物医学工程研究,2019,03:269-274.
 ZHAI Wenwen,YANG Yuna,LU Shouyin,et al.Brain computer interface system research of upper limb rehabilitation training robot[J].Journal of Biomedical Engineering Research,2019,03:269-274.
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上肢康复训练机器人的脑机接口系统研究*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2019年03期
页码:
269-274
栏目:
出版日期:
2019-09-25

文章信息/Info

Title:
Brain computer interface system research of upper limb rehabilitation training robot
文章编号:
1672-6278 (2019)03-0269-06
作者:
翟文文杨玉娜鲁守银高诺△
山东建筑大学信息与电气工程学院,济南 250101
Author(s):
ZHAI WenwenYANG YunaLU ShouyinGAO Nuo
College of Information and Electrical Engineering,Shandong University of Architecture, Jinan 250101, China
关键词:
脑机接口稳态视觉诱发电位Alpha波上肢康复训练机器人异步控制
Keywords:
Brain-computer interface Steady-state visual evoked potential Alpha wave Upper limb rehabilitation training robot Asynchronous control
分类号:
R318
DOI:
10.19529/j.cnki.1672-6278.2019.03.02
文献标识码:
A
摘要:
脑机接口(brain-computer interface,BCI)可以把大脑皮层的电活动信号转化为机器语言直接控制外界设备。本研究提出一种基于稳态视觉诱发电位(steady state visual evoked potential,SSVEP)与Alpha波混合的脑机接口上肢康复训练机器人系统。本系统通过检测使用者枕部脑电信号Alpha 波的阻断现象来切换空闲与工作状态,采用典型相关分析算法区分不同频率的SSVEP信号。利用该脑机接口系统,用户可以自主控制上肢康复训练机器人进行上肢康复训练,包括训练动作与训练时间。在线实验结果验证了本研究提出的异步脑机接口上肢康复训练机器人的可行性与有效性,该系统分析速度快且分析准确率高,为异步脑机接口的实现与应用提供了良好的理论与实践基础。
Abstract:
Brain-computer interface (BCI) can convert electrical activity signals of cerebral cortex into machine language to directly control external devices. This paper presented a brain-computer interface upper limb rehabilitation training robot system based on the mixture of steady state visual evoked potential (SSVEP) and Alpha wave. This system detected the blocking phenomenon of Alpha wave of occipital EEG signal to switch idle and working state, and used canonical correlation analysis algorithm to distinguish SSVEP signals of different frequencies. With this brain-computer interface system, users can control the upper limb rehabilitation training robot to carry out upper limb rehabilitation training, including training action and training time. On-line experimental results verify the feasibility and effectiveness of the proposed asynchronous brain-computer interface upper limb rehabilitation training robot. The system has fast analysis speed and high analysis accuracy, which provides a good theoretical and practical basis for the implementation and application of asynchronous brain-computer interface.

参考文献/References

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备注/Memo

备注/Memo:
(收稿日期:2019-03-14)国家级大学生创新创业计划项目(0001222);山东省重点研发计划项目(2017CXGC1505);山东建筑大学教学建设与改革重点专项项目(010171820)。△通信作者Email: gaonuo@ sdjzu.edu.cn
更新日期/Last Update: 2019-10-24