Results 31 to 40 of about 389,267 (294)
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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Entropy of Proteins Using Multiscale Cell Correlation [PDF]
Journal of Chemical Information and Modeling, 2020 A new multiscale method is presented to calculate the entropy of proteins from molecular dynamics simulations. Termed Multiscale Cell Correlation (MCC), the method decomposes the protein into sets of rigid-body units based on their covalent-bond connectivity at three levels of hierarchy: molecule, residue, and united atom.
Arghya Chakravorty +2 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 +9 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 +4 more
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Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]
, 2008 We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C. +4 more
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Image-based Multiscale Shape Description using Gaussian Filter [PDF]
, 2008 In shape recognition, a multiscale description provides more information about the object, increases discrimination power and immunity to noise. In this paper, we develop a new multiscale Fourier-based object description in 2-D space using a low-pass ...
Cem Direkoglu +3 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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