A method of estimating lag between brain areas based on windowed harmonic wavelet transform.
- Author:
Aibin JIA
;
Yiliang ZHAO
;
Xiao ZHANG
;
Min WANG
- Publication Type:Journal Article
- MeSH:
Brain;
physiology;
Humans;
Neurons;
physiology;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2013;30(6):1159-1163
- CountryChina
- Language:Chinese
-
Abstract:
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 neurons 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.
