Multivariate Multiscale Dispersion Entropy of Biomedical Times Series [PDF]
Entropy, 2019 Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience.
Hamed Azami +2 more
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Representing Entropy with Dispersion Sets [PDF]
Entropy, 2010 A novel representation of entropy is introduced, based on the heuristic concept of heat dispersion. To this end dispersion sets are defined, which describe both the heat transferred to a system and the associated entropy change.
Bernhard Kolarczyk
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Fault diagnosis of aero-engines using transfer dispersion entropy and dispersion patterns. [PDF]
PLoS ONEDispersion entropy (DE) can effectively detect the chaotic features in ordered sequences. However, DE is only defined by the probability distribution of static dispersion patterns, ignoring the dynamic transitions between pairwise dispersion patterns ...
Hong Zhang +3 more
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Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy [PDF]
Entropy, 2018 The evaluation of complexity in univariate signals has attracted considerable attention in recent years. This is often done using the framework of Multiscale Entropy, which entails two basic steps: coarse-graining to consider multiple temporal scales, and evaluation of irregularity for each of those scales with entropy estimators.
Hamed Azami +2 more
exaly +6 more sources
Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring [PDF]
Entropy, 2020 Entropy quantification algorithms are becoming a prominent tool for the physiological monitoring of individuals through the effective measurement of irregularity in biological signals.
Evangelos Kafantaris +3 more
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A Feature Extraction Method of Ship-Radiated Noise Based on Fluctuation-Based Dispersion Entropy and Intrinsic Time-Scale Decomposition [PDF]
Entropy, 2019 To improve the feature extraction of ship-radiated noise in a complex ocean environment, fluctuation-based dispersion entropy is used to extract the features of ten types of ship-radiated noise.
Zhaoxi Li, Yaan Li, Kai Zhang
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IEEE Access, 2019 Many nonlinear dynamic and statistic methods, including multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), have been widely studied and employed to fault diagnosis of the rolling bearing. Multiscale dispersion entropy (MDE) is a powerful
Congzhi Li +4 more
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Sensors, 2021 One of the remaining challenges for the scientific-technical community is predicting preterm births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction technique.
Félix Nieto-del-Amor +8 more
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Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases
IEEE Access, 2019 Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuation-based dispersion patterns.
Hamed Azami +6 more
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Gearbox Fault Diagnosis Based on Hierarchical Instantaneous Energy Density Dispersion Entropy and Dynamic Time Warping [PDF]
Entropy, 2019 The accurate fault diagnosis of gearboxes is of great significance for ensuring safe and efficient operation of rotating machinery. This paper develops a novel fault diagnosis method based on hierarchical instantaneous energy density dispersion entropy ...
Guiji Tang +3 more
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