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脑电图数据的相关性分析
引用本文:丁宝玺,陈志华,赵力. 脑电图数据的相关性分析[J]. 现代生物医学进展, 2008, 8(1): 62-66
作者姓名:丁宝玺  陈志华  赵力
作者单位:大连交通大学软件学院,大连,116028
基金项目:致谢:从论文开题到总体设计、程序设计、数据分析、对分析结果的讨论等研究工作,再到论文的写作,导师都给了很多富有指导性的意见和富有启发性的建议,研究期间导师多次检查科研进度并进行讨论、答疑,是导师对课题的整体把握为课题的完成奠定了基础.同时也参考了一些相关论文.在此,谨向导师、参与实验的所有受试者以及参考文献的所有作者表示诚挚的谢意!
摘    要:目的:本文对客观记录的脑电图数据进行相关性分析,为正确理解人脑的不同局部以及局部与整体之间的相关性提供基础实验依据和理论根据,为脑电图研究的其它分析做基础分析.方法:分别对10导联电极和21导联电极的两组脑电图数据做互相关和自相关的相关性分析,得出在不同条件、事件下脑的各导联电极的自相关分析结果和左右对称导联电极的互相关分析结果,最后得出相关性值随实验条件和事件的具体变化.数据处理和统计分析采用独立设计的脑电图分析工具箱和相关性分析程序.结果:脑电图数据经过相关性分析后得到的相关图具有和脑电波相似的波形,具有周期性,时间滞后对应的标准化的相关图显示出相关性值的第一个主峰是最大的,主峰频率一般在8到13Hz的脑电波频段内;最后得到的相关性值随事件的变化而改变的结果说明实验事件对相关性的影响.结论:自相关和互相关都是随着时间滞后的增大而逐渐减小;波具有较强的相关性;相关图在从零延迟开始时间滞后所出现的第一个波峰是主峰,反应出相对较强的相关性;从大量数据的分析最后得到的相关性与事件的关系表明相关性是受事件影响的.

关 键 词:脑电图  相关性  自相关  互相关  脑电图  数据  相关性分析  Data  Analysis  事件影响  关系表  反应  延迟  实验  频段  主峰频率  显示  标准化  对应  时间滞后  周期性  波形  相似  脑电波
文章编号:1673-6273(2008)01-0062-05
收稿时间:2007-10-01
修稿时间:2007-10-17

Correlation Analysis of EEG Data
DING Bao-xi,CHEN Zhi-hua,ZHAO Li. Correlation Analysis of EEG Data[J]. Progress in Modern Biomedicine, 2008, 8(1): 62-66
Authors:DING Bao-xi  CHEN Zhi-hua  ZHAO Li
Abstract:Objective:In this paper,we have done correlation analysis of visually recorded electroencephalogram(EEG)data,in order to offer basic experimental and academic basis for correctly understanding correlation among cerebral different local areas and local with the whole cerebral.Methods:We have respectively done correlation analysis including auto-correlation and cross correlation analysis for 10 derivation electrodes' and 21 derivation electrodes' EEG data,and acquired each derivation's result of auto-correlation analysis and symmetrical left with right derivation's result of cross-correlation analysis at different condition and event.Finally we acquired a general pattern of material change of the correlation value with the different change of experimental condition and event.EEG data pro- cessing and statistic analysis adopted independently designed EEG analysis toolbox and the program of correlation analysis.Results:Re- sults indicated that the correlograms acquired by means of correlation analysis of EEG data have similar wave with EEG wave and peri- odicity.The normative correlograms corresponding to time lags substantiate that the correlation value of the first main peak is maximal. And the first main peak frequency is commonly at the range of 8-13Hz frequency band of EEG wave.Finally the result that the correla- tion value change with different events substantiate that the correlation is affected by experimental event.Conclusions:Auto-correlation and cross-correlation are gradually decreased corresponding to the increased time lag.Alpha wave has correspondingly stronger correla- tion compared to other wave range.The correlograms indicate that the first peak after zero lag is the main peak,which show comparatively strong correlation.The relation between correlation and event acquired from analysis of a great deal of EEG data substantiate that correla- tion is affected by event.
Keywords:Electroencephalogram(EEG)  Correlation  Auto-correlation  Cross-correlation
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