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The Multiscale Entropy Algorithm and Its Variants: A Review [PDF]
Entropy, 2015 Multiscale entropy (MSE) analysis was introduced in the 2002 to evaluate the complexity of a time series by quantifying its entropy over a range of temporal scales. The algorithm has been successfully applied in different research fields.
Anne Humeau-Heurtier
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Time Series Analysis Using Composite Multiscale Entropy [PDF]
Entropy, 2013 Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the ...
Kung-Yen Lee +2 more
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Time-Shift Multiscale Entropy Analysis of Physiological Signals [PDF]
Entropy, 2017 Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for generating multiple time series, enabling the capture of more useful information than using a scalar
Tuan Pham
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Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine
Entropy, 2012 Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features.
Jian-Jiun Ding +2 more
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Multiscale Entropy Approaches and Their Applications. [PDF]
Entropy (Basel), 2020 n ...
Humeau-Heurtier A.
europepmc +8 more sources
(Multiscale) Cross-Entropy Methods: A Review [PDF]
Entropy, 2019 Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the dynamical characteristics of the coupling behavior between two sequences on ...
Antoine Jamin, Anne Humeau-Heurtier
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Identification of Electroencephalogram Signals in Alzheimer's Disease by Multifractal and Multiscale Entropy Analysis [PDF]
Frontiers in Neuroscience, 2021 Alzheimer's disease (AD) is the most common form of dementia and is a progressive neurodegenerative disease that primarily develops in old age. In recent years, it has been reported that early diagnosis of AD and early intervention significantly delays ...
Momo Ando +7 more
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Multiscale Entropy-Based Feature Extraction for the Detection of Instability Inception in Axial Compressors [PDF]
EntropyThe detection of instability inception is favorable to avoid compressor instability. In this paper, a multiscale entropy-based feature extraction is developed for the detection of the instability inception in axial compressors.
Yihan Fu, Zheng Zhao, Peng Lin
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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.
Anne Humeau-Heurtier
exaly +4 more sources
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
Jinde Zheng, Jinyu Tong, Haiyang Pan
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