基于LabVIEW的脑电信号分析仪的研究与设计  

Design and Research of Electroencephalogram Signal Analyzer based on LabVIEW

作　　者：梅甜 周毅[1] 王民慧[2] 张振[1] 

机构地区：[1]中山大学中山医学院生物医学工程系,广州510080 [2]贵州大学电气工程学院,贵阳550025

出　　处：《生物医学工程研究》2014年第1期39-43,共5页Journal Of Biomedical Engineering Research

基　　金：国家自然科学基金资助项目(61263011);广东省自然科学基金资助项目(S2011010005309);中央高校基本科研业务费中山大学培育项目(11ykpy07)

摘　　要：为实现脑电信号处理与分析的一体化,提取有效的脑电信号特征指标,提高脑电图阅读速度,构建出了一套虚拟的脑电图(electroencephalogram,EEG)分析仪。首先使用了虚拟仪器开发软件LabVIEW实现了虚拟的EEG动态采集。再使用其开放的生物医学工具包对信号进行傅里叶滤波,同时联合MATLAB脚本节点,对信号进行小波消噪。然后使用频域分析等方法,在计算EEG信号的功率谱基础上,进一步分析提取的δ、θ、α、β四种脑电节律的成分。结果表明小波消噪较傅里叶滤波能更好地保留EEG信息,MATLAB节点的使用能增强分析仪的扩展性。研究中对癫痫发作间期与发作期进行了节律提取,初步结果显示发作间期与发作期在四种节律上的改变具有差异性。In order to achieve the integration of EEG signal processing and analysis,as well as extracting effective characteristic EEG indicators for improving the EEG reading speed,a virtual electroencephalogram（ EEG,） signal analyzer was designed by LabVIEW. The platform could simulate the routine EEG display interfaces. First,the open biomedical Toolkit and MATLAB script were adopted for filtering. Next,the EEG power spectrum was calculated based on the frequency domain analysis,and further extraction of four EEG components（ δ,θ,α,β） were analyzed. The results showed that wavelet de-noising had better retention of EEG information than Fourier filtering did,in addition,the use of MATLAB node could enhance scalability. The differences of four rhythms between interictal and ictal seizures were studied and the change degree varied significantly with different rhythms。

关 键 词：脑电图 虚拟仪器 MATLAB脚本 生物医学工具包 滤波 

分 类 号：R318[医药卫生—生物医学工程]