基于稳态视觉诱发电位的脑控轮椅的控制方式  

Control method of brain-controlled wheelchairs based on steady-state visual evoked potential

作　　者：陈小刚[1] 徐圣普[1] CHEN Xiaogang;XU Shengpu(Institute of Biomedical Engineering,Chinese Academy of Medical Sciences and Peking Union Medical College,Tianjin 300192)

机构地区：[1]中国医学科学院北京协和医学院生物医学工程研究所,天津300192

出　　处：《北京生物医学工程》2018年第2期215-220,共6页Beijing Biomedical Engineering

基　　金：国家自然科学基金(61603416);中国科协青年人才托举工程(YESS20150049);协和青年基金(3332016101);中国医学科学院医学与健康科技创新工程项目(2016-I2M-3-023)资助

摘　　要：电动轮椅已广泛用于改善运动障碍患者的行动能力,而严重运动障碍患者因丧失运动功能而无法实现自行控制轮椅。为解决这一问题,基于脑-机接口(brain-computer interface,BCI)的控制策略被引入轮椅控制中。基于稳态视觉诱发电位(steady-state visual evoked potential,SSVEP)的脑-机接口因具有高的信息传输率和较少的用户训练在脑-机接口领域备受关注。因此,本文综述了稳态视觉诱发电位脑-机接口驱动轮椅的现状,描述使用它们的人群,控制方式,脑控轮椅的特征提取和分类方法,以及系统性能评估方法。最后,讨论了这一领域目前面临的挑战以及研究方向。Electric wheelchairs are widely used to improve mobility in individuals with motor disabilities.However,people with severe motor im pairm ent,who do not have the motor control ability,are unable to control the wheelchair by themselves.In order to solve this problem,control strategies based on braincomputer interface(BCI)were introduced into wheelchair control.The BCI based on steady-state visual evoked potential(SSVEP)has attracted more and more attention in the field of BCI due to its advantages such as high information transfer rate(IT R)and little user training.Therefore,this paper reviews the status of the braincontrolled wheelchairs driven by SSVEP-based BCIs,describing the users,control m ethods,the feature extraction and classification methods used for the brain-controlled w heelchairs,and system performance evaluation.Finally,this paper discusses the current challenges and future research directions in this field.

关 键 词：脑-机接口 轮椅 稳态视觉诱发电位 

分 类 号：R318.04[医药卫生—生物医学工程]