作　　者： (毛丽民）; (朱培逸）; (刘叔军）; (杨自）;

机构地区： 常熟理工学院电气与自动化工程学院,江苏常熟215500

出　　处： 《实验室研究与探索》 2017年第8期153-157,186,共6页

摘　　要： 针对Emotiv Epoc采集的脑电信号,提出了一种基于LabVIEW的EEG信号的处理方法。应用LabVIEW软件平台,对采集的信号进行解析获取EEG信号,捕捉受试者的当前状态,同时对解析出的EEG数据进行保存与读取。首先利用傅里叶变换进行分析,得出在某段时间范围的频域信息,然后在此基础上进行小波分析,捕捉某一通道的某一信号出现的时间,结合这2种方法,更好地分析EEG信号。通过大量实验测试,提出的基于LabVIEW的EEG信号处理方法,能筛选出识别率较高的信号,从而对基于脑电控制的研究提供了一种有效途径。 In this paper,a method of EEG signal processing based on LabVIEW is proposed based on the EEG signal collected by Emotiv Epoc. The LabVIEW software platform is used to analyze the collected signal and obtain the EEG signal,to capture the current state of the receiver,and save and read the EEG data. Firstly,the Fourier transform is used to analyze the frequency domain information in a certain period of time,then the wavelet analysis is applied to capture the time of a signal appearing in a certain channel. Combining these two methods,we can get better analying result of EEG signal. Through a large number of experimental tests,the processing method of EEG signal proposed in this paper can filter out the high recognition rate signal,and provide an effective way for the study of EEG based control.

关 键 词： 脑电图描访器信号 傅里叶变换 小波分析 识别