基于P300的脑机接口系统研究

Study on the P300-based brain computer interface

设计了Oddball刺激程序及诱发电位P300实验方案,对实验所采集到的含有诱发电位信号的EEG数据进行了预处理和模式识别方法的研究,初步建立了基于诱发电位P300的BCI系统的信号采集与处理模型,分别利用小波变换、相干平均方法对P300信号进行提取,尤其是诱发电位的少次提取对实现实时BCI系统具有重要意义,为将来实现基于诱发电位P300的实时BCI系统打下了坚实的基础。

A brain-computer interface (BCI) is a communication system that does not depend on the brain′s normal output pathways of peripheral nerves and muscles.In the research, EEG signal acquisition system is built based on the LabVIEW which is the basis of the online BCIs system. The P300 evoked potentials is detected on the acquisition system by the Oddball stimulate program and realize the primary stage P300-based BCIs system. The paper presents the analytical method of Wavelet Transform (WT) for the preprocessing of EEG acquired from the acquisition system. It is importation for online BCIs system.