Intermuscular coupling network analysis of upper limbs based on R-vine copula transfer entropy

DOI10.3934/MBE.2022439OpenAlexW4285214165MaRDI QIDQ2688610

Qingshan She, Shaojun Zhu, Yating Wu, Jinhui Zhao

Publication date: 3 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022439

zbMATH Keywords

transfer entropymuscle fatiguesurface EMGR-vine copula

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Neural biology (92C20) Physiology (general) (92C30)

Cites Work

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• Selecting and estimating regular vine copulae and application to financial returns
• Muscle fatigue analysis during dynamic contractions based on biomechanical features and permutation entropy
• Probability density decomposition for conditionally dependent random variables modeled by vines
• R‐vine models for spatial time series with an application to daily mean temperature
• A study of problems encountered in Granger causality analysis from a neuroscience perspective
• An Analysis of Some Graph Theoretical Cluster Techniques
• A goodness-of-fit test for regular vine copula models

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