Intermuscular coupling network analysis of upper limbs based on R-vine copula transfer entropy
In the field of neuroscience, it is very important to evaluate the causal coupling characteristics between bioelectrical signals accurately and effectively. Transfer entropy is commonly used to analyze complex data, especially the causal relationship between data with non-linear, multidimensional ch...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-06-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022439?viewType=HTML |