摘要
采用Ｇ－Ｐ算法，对１０例大学生安静时睁眼和闭眼状态的脑电图作了相关维数（ＣＤ）分析及计算条件的探讨。结果表明：连续多段脑电的ＣＤ具有相对稳定性。在一定范围内，ＣＤ随计算点长的增加和采样频率的下降而升高，随低通滤波频率的下降而降低；随计算参数时间延迟和嵌入维数的增加而增高。上述各种情况下，睁眼时的ＣＤ值均高于闭眼。提示：选择适当的计算条件和参数，脑电的ＣＤ分析能够反映不同的脑功能状态，其取值也可符合理论要求。
CDs of eye-open and eye-closed EEG in resting condition of 10 college students were analysed using Grassberger-Procacia algorithm and calculating conditions were researched.The result showed relative stability of CDs of continuous EEG segments.Within a certain range,CD value increased with the increase of calculating points,the decrease of sample frequency,and decreased with the decrease of low-pass filt frequency;it increased with increasing of calculating parameters,such as time delay and embedding dimension.In all conditions above,CD values were higher in eye-open condition than in eye-closed condition.It suggests that,choosing appropriate conditions and parameters,CD of EEG signals could reflect the different brain states and its value could also consist with the theoretical result.
出处
《中国医学物理学杂志》
CSCD
1998年第3期155-158,共4页
Chinese Journal of Medical Physics
基金
国家中医药管理局青年基金
关键词
相关维数
脑电图
滤波
时间延迟
嵌入维数
Correlation dimension EEG Digital filtering Time delay Embedding dimension
