基于神经网络的肌电信号的数据融合技术研究

Research on EMG data fusion technology based on neural network

肌电信号作为智能化假肢、康复机器人的驱动源,是目前热点研究方向之一。针对多通道肌电信号的时变、非线性、相互关联耦合的特性,选择了基于神经网络的数据融合技术。完成了CMAC神经网络方法的数学建模,为实现肌电信号的数据融合技术,作了重要的准备。

EMG is one of the focus directions as the intelligentize prosthesis and driving source of the rehabilitation robot. This test selected data fusion technology based on neural network aiming at the characteristic of time variation, non linearity and correlating coupling each other. It accomplished mathematics modeling of CMAC neural network. So it has done important preparation for the realization of the EMG data fusion technology.