基于LabVIEW的EEG信号采集与处理系统设计

发布时间：2018-02-09 12:31

本文关键词： LabVIEW 脑电图描访器信号傅里叶变换小波分析识别　出处：《实验室研究与探索》2017年08期 　论文类型：期刊论文

【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。
[Abstract]:Aiming at the EEG signal collected by Emotiv Epoc, a method of EEG signal processing based on LabVIEW is proposed. The LabVIEW software platform is used to analyze the collected signal to obtain EEG signal, to capture the current state of the subject. At the same time, the EEG data is saved and read. Firstly, Fourier transform is used to analyze the frequency domain information in a certain time range, and then wavelet analysis is carried out on this basis. In order to capture the time of emergence of a certain signal in a certain channel and combine these two methods, the EEG signal can be better analyzed. Through a large number of experiments, the proposed EEG signal processing method based on LabVIEW can screen out the signal with high recognition rate. Therefore, it provides an effective way for the research based on EEG control.
【作者单位】：常熟理工学院电气与自动化工程学院;
【基金】：苏州市科技计划项目资助(SYG201504)
【分类号】：R318;TN911.7

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