摘要
目的:验证基于Morlet小波变换的时频分析方法在事件诱发脑磁图中的应用效果。方法:根据Morlet小波变换的数学原理及特点,对脑磁图数据进行时频分解,采用时频能量分布图和锁相因子分布图表示脑磁图信号。结果:从脑磁图数据中有效提取了锁相和非锁相的能量变化信息。结论:Morlet小波变换的时频分析方法能够适应脑磁图信号是时变非平稳信号的特点,从中提取出感兴趣的信息。
Objective:To evaluate the validity of the time-frequency analysis based on Morlet wavelet transform used for event-related MEG.Methods:According to the basic principle of Morlet wavelet transform and character of time-frequency analysis base on Morlet wavelet transform,the MEG data was processed.The time-frequency energy distribution and phase-locked factor were used to present the MEG data.Results:The phase-locked energy and non phase-locked energy power could be extracted effectively.Conclusion:The time-frequency analysis base on Morlet wavelet transform is powerful and the interest information in MEG can be obtained easily.
出处
《中国医学装备》
2011年第6期1-5,共5页
China Medical Equipment
关键词
脑磁图
小波变换
MORLET小波
时频分析
Magnetoencephalography
Wavelet transform
Morlet wavelet
Time-frequency analysis