基于惯性跟踪的手臂运动及脑波一致性分析

考虑到脑卒中患者的传统偏瘫康复手段依赖于康复医生的指导和康复器械的协助,忽略了患者的主动参与性,缺少支配肢体运动的大脑神经系统的直接参与,以手臂运动为对象,研究了人体手臂运动时各姿态的变化及相应的脑电信号的变化,以探究人体上肢不同频率运动时大脑神经系统的参与情况与脑电信号变化情况,并提出了混合式Kalman滤波的数据融合算法和基于盲源分离的去除眼电伪迹的方法。在此基础上设计了快速手臂伸曲和慢速手臂伸曲运动实验和快速、慢速两种任务的手臂伸曲运动想象实验。实验表明,手臂运动与手臂运动想象脑波信号具有一致性,从而验证了所提方法的有效性。

Analysis of the consistency of inertial tracking arm movement and EEG

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.