Multivariate distance dispersion entropy: a complexity analysis method capturing intra- and inter-channel signal variations for multichannel data

• Published in: Nonlinear dynamics Vol. 113; no. 8; pp. 8443 - 8459
• Main Authors: Niu, Yan, Ding, Runan, Zhou, Mengni, Sun, Jie, Dou, Mingliang, Wen, Xin, Cui, Xiaohong, Yao, Rong, Wei, Jing, Xiang, Jie
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.04.2025; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Applications of Nonlinear Dynamics and Chaos Theory; Classical Mechanics; Classification; Complexity; Control; Data analysis; Dynamical Systems; Electrocardiography; Entropy; Multivariate analysis; Nonlinear dynamics; Nonlinear systems; Physics; Physics and Astronomy; Statistical Physics and Dynamical Systems; Vibration; Nonlinear dynamics; Electroencephalogram; Multichannel signal analysis; Electrocardiogram; Multivariate distance dispersion entropy; Complexity

Complexity analysis of multichannel signals provides valuable insight into complex nonlinear dynamic systems. Several multivariate entropy algorithms have been proposed by extending univariate entropy measures. However, there is a lack of multivariate entropy algorithms that simultaneously capture i...