Apr 20, 2020 · The results show that the BMTE method can quantitatively describe the local frequency band and multiscale characteristics between the motor ...
Keywords—Functional corticomuscular coupling, Bivariate empirical mode decomposition, Multiscale transfer entropy,. Local frequency band, Multiscale. I ...
To measure the directed flow of information between time series, one of the widely used metrics is Transfer Entropy [43], [44]. Empirical mode decomposition ...
Functional Corticomuscular Coupling Based on Bivariate Empirical Mode Decomposition - Multiscale Transfer Entropy ; Author: Shengcui Cheng, Xiaoling Chen, Ping ...
The results show that MSTSE is superior to transfer spectral entropy (TSE) method in restraining the spurious coupling and detecting the coupling more ...
Missing: Bivariate Empirical Mode Decomposition -
Functional Corticomuscular Coupling Based on Bivariate Empirical Mode Decomposition - Multiscale Transfer Entropy. CIVEMSA 2019: 1-4; 2014. [c2]. view.
Corticomuscular coupling reflects nonlinear interactions and multi-layer neural information transmission between the motor cortex and effector muscle in the ...
Though the multiscale transfer entropy (MSTE) method can effectively detect the multiscale characteristics between two signals, it lacks in describing the local ...
Functional Corticomuscular Coupling Based on Bivariate Empirical Mode Decomposition - Multiscale Transfer Entropy. Shengcui Cheng; Xiaoling Chen; Ping Xie ...
We make multi-scale transfer entropy analysis of EEG based on permutation and a global symbolic method. Healthy subjects have higher transfer entropy than the ...