《中国康复理论与实践》

中国康复理论与实践 >

2019 , Vol. 25 >Issue 5: 593 - 596

DOI: https://doi.org/10.3969/j.issn.1006-9771.2019.05.018

康复工程与辅助技术

伴随规则节律的运动想象方案设计

  • 吴宏健 ,
  • 李龙 ,
  • 郭璟 ,
  • 李莉娜 ,
  • 刘天 ,
  • 王珏
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  • 1.西安交通大学生物医学信息工程教育部重点实验室，神经功能信息学与康复工程民政部重点实验室，生命科学与技术学院，健康与康复科学研究所，陕西西安市 710049
    2.国家医疗保健器具工程技术研究中心，陕西西安市 710049
吴宏健(1994-)，男，满族，吉林珲春市人，硕士研究生，主要研究方向：脑卒中后手功能主动康复。

收稿日期: 2018-12-17

  修回日期: 2019-01-21

  网络出版日期: 2019-05-29

基金资助

国家自然科学基金重点项目(No. 61431012)

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Program Design of Motor Imagery with Regular Rhythm

  • WU Hong-jian ,
  • LI Long ,
  • GUO Jing ,
  • LI Li-na ,
  • LIU Tian ,
  • WANG Jue
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  • 1.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
    2.National Engineering Research Center of Health Care and Medical Devices, Xi’an, Shaanxi 710049, China

Received date: 2018-12-17

  Revised date: 2019-01-21

  Online published: 2019-05-29

Supported by

National Natural Science Foundation of China (Key) (No. 61431012)

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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。

关键词： 运动想象; 脑机接口; 主动康复; 康复机器人

本文引用格式

吴宏健 , 李龙 , 郭璟 , 李莉娜 , 刘天 , 王珏 . 伴随规则节律的运动想象方案设计[J]. 中国康复理论与实践, 2019 , 25(5) : 593 -596 . DOI: 10.3969/j.issn.1006-9771.2019.05.018

Abstract

Objective To propose a motor imagery paradigm with regular rhythm to improve the accuracy of classification in brain-computer 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.

Key words： motor imagery; brain-computer interface; active rehabilitation; rehabilitation robots

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