摘要
目的提出一种伴随规则节律的运动想象范式,以解决脑机接口运动想象康复机器人分类准确率偏低的问题。方法未经运动想象训练的健康被试10例,通过动作图片提示进行运动想象引导,图片内容为伴随规则节律的运动动作。利用共同空间模式特征提取算法和Fisher分类器进行分类,与传统范式和伴随无规则节律的运动想象范式进行对比。结果伴规则节律的运动想象范式出现更加明显的去同步现象,分类准确率明显提高。结论伴随规则节律的运动想象方案为基于脑机接口的主动康复训练研究提供新思路。
Objective To propose a motor imagery paradigm with regular rhythm to improve the accuracy of classification in braincomputer interface based on motor imagery.Methods Ten untrained healthy subjects were asked to image the movement guided by the picture accompanied with regular rhythm.The common spatial pattern feature extraction algorithm and Fisher classifier were used for classification,and compared with the traditional paradigm and the motor imagery paradigm accompanying with irregular rhythm.Results More desynchronization was found as motor imagery with regular rhythm,while the classification accuracy improved.Conclusion Motor imagery with regular rhythm gives a new idea for active rehabilitation training based on brain-computer interface.
作者
吴宏健
李龙
郭璟
李莉娜
刘天
王珏
WU Hong-jian;LI Long;GUO Jing;LI Li-na;LIU Tian;WANG Jue(Key Laboratory of Biomedical Information Engineering of Ministry of Education,Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs,and Institute of Health and Rehabilitation Science,School of Life Science and Technology,Xi'an Jiaotong University,Xi'an,Shaanxi 710049,China;National Engineering Research Center of Health Care and Medical Devices,Xi'an,Shaanxi 710049,China)
出处
《中国康复理论与实践》
CSCD
北大核心
2019年第5期593-596,共4页
Chinese Journal of Rehabilitation Theory and Practice
基金
国家自然科学基金重点项目(No.61431012)~~
关键词
运动想象
脑机接口
主动康复
康复机器人
motor imagery
brain-computer interface
active rehabilitation
rehabilitation robots