高技术通讯2017，Vol.27Issue(7)：646-656,11.DOI:10.3772/j.issn.1002-0470.2017.07.009
基于惯性跟踪的手臂运动及脑波一致性分析
Analysis of the consistency of inertial tracking arm movement and EEG
摘要
Abstract
Considering that traditional hemiplegia rehabilitation for stroke patients relies on rehabilitation doctor' s guid-ance and rehabilitation appliance' s assistance, ignores patients' active participation, and lacks the direct involving of the cerebral nervous system controlling limb movements, to explore the brain nervous system involvement and EEG signal changing during human upper limb motion at different frequencies, the posture changing of human arm and the corresponding changing of EEG signals during arm movement are studied.On the basis of this two experi-ments were designed, Hybrid Kalman filter data fusion algorithm and blind source separation method which can re-move eye electricity artifact.One is the fast arm stretch motion and slow arm stretch motion experiment, the other is the imaginary experiment of fast arm stretch motion and slow arm stretch motion.The experiments show that the arm motion EEG is accordant with the imaginary of arm motion EEG, which verifies the proposed algorithm working ef-fectively.关键词
手臂运动/惯性捕捉/运动想象/盲源分离/脑电信号Key words
arm motion/inertial capture/motor imagery/blind source separation ( BSS)/EEG signal引用本文复制引用
金梅,姬少英,张立国,杨妮,王松..基于惯性跟踪的手臂运动及脑波一致性分析[J].高技术通讯,2017,27(7):646-656,11.基金项目
燕山大学基础研究专项课题青年课题(理工IA类)(16LGA007)项目资助. （理工IA类）
