基于加窗Harmonic小波变换的脑区间时延的估计方法  

A Method of Estimating Lag Between Brain Areas Based on Windowed Harmonic Wavelet Transform

作　　者：贾爱宾[1] 赵以亮[2] 张晓[3] 王敏[2] 

机构地区：[1]青岛理工大学理学院,青岛266520 [2]山东师范大学生命科学学院,济南250014 [3]山东电子职业技术学院计算机科学与技术系,济南250014

出　　处：《生物医学工程学杂志》2013年第6期1159-1163,共5页Journal of Biomedical Engineering

基　　金：山东省自然科学基金资助项目(ZR2010CM055);山东省科技计划项目资助(2011GGB01004)

摘　　要：针对脑电(EEG)局部场电位信号,本文提出了一种基于加窗Harmonic小波变换(WHWT)的估计两脑区之间神经元活动延迟的方法。该方法首先对两脑区的信号作WHWT,然后取瞬时幅度计算相关系数,相关系数的峰值对应的时间即为神经元活动的延迟时间。结果表明:与基于Gabor小波变换(GWT)及Hilbert变换(HT)的幅度相关法相比较,基于WHWT的幅度相关方法可以更为准确且高效地估计脑区之间的时间延迟及信息流向。Aiming at local field potential, the present paper introduces a method of estimating lag of neuron activities between brain areas based on windowed Harmonic wavelet transform （WHWT）. Firstly, the WHWT of signals of two brain areas are calculated. Secondly, the instantaneous amplitude of the signals is calculated and finally, these amplitudes are cross-correlated and the lag at which the cross-correlation peak occurs is determined as the lag of neu- rons activities. Comparing with amplitude cross correlation based on Gabor wavelet transform （GWT） or Hilbert transform （HT）, this method is more precise and efficient in estimating the directionality and lag.

关 键 词：Harmonic小波变换 局部场电位 时间延迟 幅度相关 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]