基于思维脑电信号的假手的研究

Study on artificial hand based on thinking EEG signals

本文主要研究利用思维脑电信号来控制假手动作。采用小波变换对思维脑电信号进行分解,选取合适的子带信号并提取相应能量特征,组成特征向量输入BP神经网络进行分类识别。整个信号处理过程在LabVIEW软件平台上实现,并利用其串口通信模块输出控制指令来控制假手的张开和闭合。

This paper mainly studies how to control artificial hand based on thinking EEG signals, The wavelet transform was used to analyse the thinking EEG signals, which was processed on the LabVIEW platform, and the opening and closing of artificial hand were controlled via the output control instructions in the serial port module in the LabVIEW.