生物医学工程研究2018，Vol.37Issue(1)：6-10,5.DOI:10.19529/j.cnki.1672-6278.2018.01.02
基于稳态视觉诱发电位脑机接口的智能轮椅系统研究
The research on intelligent wheelchair based on brain computer interface of steady state visual evoked potential
摘要
Abstract
The intelligent wheelchair based on brain computer interface(BCI),currently,has some problems,such as the low ac-curacy of signal analysis and the difficulty of controlling the turning angle.In view of the problems,a wheelchair with steady state visu-al evoked potential(SSVEP)as control signal was proposed.The system used canonical correlation analysis to extract EEG signals in real time and generated control signals with high signal transmission rate and fast analysis speed.In addition, the using of Mecanum wheel made the proposed system achieve omni-direction moving without a turning.The corresponding experiment results demonstrate the wheelchair′s feasibility and effectiveness.关键词
稳态视觉诱发电位/脑机接口/智能轮椅/麦克纳姆轮/典型相关分析Key words
Stable-state visual evoked potentials/Brain computer interface/Intelligent wheelchair/Mecanum wheel/Canonical correlation analysis分类
医药卫生引用本文复制引用
高诺,翟文文,鲁加兴,吴林彦,鲁守银..基于稳态视觉诱发电位脑机接口的智能轮椅系统研究[J].生物医学工程研究,2018,37(1):6-10,5.基金项目
国家自然科学基金资助项目(61403237) （61403237）
山东省科技重大专项资助项目(2015ZDXX0801A03) （2015ZDXX0801A03）
山东省重点研发计划项目(2017CXGC1505). （2017CXGC1505）
