Results 31 to 40 of about 411,209 (289)
Shock and Vibration, 2020 Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou +3 more
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Multiscale permutation entropy for two-dimensional patterns
Pattern Recognition Letters, 2021 Abstract Complexity measures are important to understand and analyze systems with one dimensional data. However, extension of these methods to images (two dimensional data) are much less usual. Bidimensional multiscale sample entropy ( M S E 2 D ) has recently been proposed as a new complexity measure for texture evaluation. However,
Morel, Cristina, Humeau-Heurtier, Anne
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Entropy, 2021 Bearing vibration signals typically have nonlinear components due to their interaction and coupling effects, friction, damping, and nonlinear stiffness. Bearing faults affect the signal complexity at various scales.
Mostafa Rostaghi +3 more
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Multivariate Generalized Multiscale Entropy Analysis [PDF]
Entropy, 2016 Multiscale entropy (MSE) was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii) the computation of the sample entropy for each coarse-grained time series.
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, 2021 International audienceRecent research has clarified the existence of a networked system involving a cortical and subcortical circuitry regulating both cognition and cardiac autonomic control, which is dynamically organized as a function of cognitive ...
Bouny, Pierre +7 more
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, 2021 The curve shown corresponds to multiscale bubble entropy of a Gaussian white noise signal (N = 5000, μ = 0, σ = 1), calculated over 5 coarse-grained time scales, with estimator parameters: embedding dimension (m) = 2, time delay (τ) = 1.
Bernd Grimm (11648640) +1 more
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Multiscale entropy algorithms and their applications in cardiac disease discrimination
, 2020 In recent years, the number of cardiac disease patients has been increasing. Modern medical research has shown that the complexity of electrocardiogram (ECG) signals is related to cardiovascular diseases.
Jin, Zhiyao +9 more
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Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy [PDF]
, 2006 The aim of this study was to analyse the electroencephalogram ( EEG) background activity of Alzheimer's disease ( AD) patients using multiscale entropy (MSE). MSE is a recently developed method that quantifies the regularity of a signal on different time
Escudero, J.; id_orcid +14 more
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Entropy, 2018 Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal.
Frederico Sassoli Fazan +4 more
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Multiscale based nonlinear dynamics analysis of heart rate variability signals.
PLoS ONE, 2020 Acceleration change index (ACI) is a fast and easy to understand heart rate variability (HRV) analysis approach used for assessing cardiac autonomic control of the nervous systems.
Syed Zaki Hassan Kazmi +5 more
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