Ensemble Improved Permutation Entropy: A New Approach for Time Series Analysis
Entropy quantification approaches have gained considerable attention in engineering applications. However, certain limitations persist, including the strong dependence on parameter selection, limited discriminating power, and low robustness to noise.
Zhe Chen +3 more
doaj +2 more sources
Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings [PDF]
Abstract Permutation entropy (PE) is a well-known and fast method extensively used in many physiological signal processing applications to measure the irregularity of time series. Multiscale PE (MPE) is based on assessing the PE for a number of coarse-grained sequences representing temporal scales.
Hamed Azami, Javier Escudero
exaly +3 more sources
To enhance the performance of entropy algorithms in analyzing complex time series, generalized Gaussian distribution improved permutation entropy (GGDIPE) and its multiscale variant (MGGDIPE) are proposed in this paper.
Kun Zheng +4 more
doaj +2 more sources
Rolling Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and SOA-SVM
The service conditions of underground coal mine equipment are poor, and it is difficult to accurately extract the fault characteristics of rolling bearings. In order to better improve the accuracy of the fault identification of rolling bearings, a fault-detection method based on multiscale permutation entropy and SOA-SVM is proposed.
Xi Zhang +4 more
openaire +3 more sources
Surface electromyography (sEMG) is a valuable technique that helps provide functional and structural information about the electric activity of muscles. As sEMG measures output of complex living systems characterized by multiscale and nonlinear behaviors,
Philippe Ravier +3 more
doaj +2 more sources
Twenty Years of Entropy Research: A Bibliometric Overview
Entropy, founded in 1999, is an emerging international journal in the field of entropy and information studies. In the year of 2018, the journal enjoyed its 20th anniversary, and therefore, it is quite reasonable and meaningful to conduct a retrospective
Weishu Li +3 more
doaj +2 more sources
A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts [PDF]
Computational analysis of infant movement has significant potential to reveal markers of developmental health. We report two studies employing dynamic analyses of motor kinematics and motor behaviours, which characterise movement at two levels, in 9 ...
Yu Wei Chua +10 more
doaj +2 more sources
Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based ...
Maoyou Ye, Xiaoan Yan, Minping Jia
doaj +1 more source
Multiscale permutation entropy for two-dimensional patterns
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
openaire +2 more sources
Classification of Hepatitis Viruses from Sequencing Chromatograms Using Multiscale Permutation Entropy and Support Vector Machines [PDF]
Classifying nucleic acid trace files is an important issue in molecular biology researches. For the purpose of obtaining better classification performance, the question of which features are used and what classifier is implemented to best represent the ...
Aşkın, Öyküm Esra +3 more
europepmc +2 more sources

