The refined multiscale entropy (RMSE) approach is commonly applied to assess complexity as a function of the time scale. RMSE is normally based on the computation of sample entropy (SampEn) estimating complexity as conditional entropy. However, SampEn is
Jensen, Erik Weber +5 more
core
The Application of Entropy in Motor Imagery Paradigms of Brain-Computer Interfaces. [PDF]
Wu C +5 more
europepmc +1 more source
Stock Forecasting Based on Informational Complexity Representation: A Framework of Wavelet Entropy, Multiscale Entropy, and Dual-Branch Network. [PDF]
Tian G, Xu C, Yang Y.
europepmc +1 more source
BFMGHC: a boosted fuzzy manifold granule hypersurface classifier with local topology preservation. [PDF]
Li W, Si W, Liu Z, Song Y.
europepmc +1 more source
Fault Diagnosis of Wind Turbine Gearbox Based on Improved Multivariate Variational Mode Decomposition and Ensemble Refined Composite Multivariate Multiscale Dispersion Entropy. [PDF]
Xia X, Wang X, Chen W.
europepmc +1 more source
A Diagnosis Method for Noise and Intermittent Faults in Analog Circuits Based on the Fusion of Multiscale Fuzzy Entropy Features and Amplitude Features. [PDF]
Shi J, Hou Y, Wang Z, Yang Z, Lv Z.
europepmc +1 more source
Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition-Multipoint Optimal Minimum Entropy Deconvolution Adjusted. [PDF]
Li L +5 more
europepmc +1 more source
Gearbox Fault Diagnosis Based on Adaptive Variational Mode Decomposition-Stationary Wavelet Transform and Ensemble Refined Composite Multiscale Fluctuation Dispersion Entropy. [PDF]
Wang X, Du Y, Ji X.
europepmc +1 more source
Research on Depression Recognition Model and Its Temporal Characteristics Based on Multiscale Entropy of EEG Signals. [PDF]
Xu X, Xu J, Du R, Xu T.
europepmc +1 more source

