Results 161 to 170 of about 808,398 (185)

Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum

IEEE Transactions on Biomedical Engineering, 2020
We propose a new bidimensional entropy measure and its multiscale form and evaluate their behavior using various synthetic and real images. The bidimensional multiscale measure finds application in helping clinicians for pseudoxanthoma elasticum (PXE) detection in dermoscopic images.We developed bidimensional fuzzy entropy ( FuzEn2D) and its multiscale
Hamed Azami, Anne Humeau-Heurtier, Mirvana Hilal   +2 more
exaly   +5 more sources

Refined Composite Multivariate Generalized Multiscale Fuzzy Entropy: A Tool for Complexity Analysis of Multichannel Signals [PDF]

Physica A: Statistical Mechanics and Its Applications, 2017
Abstract Multiscale entropy (MSE) is an appealing tool to characterize the complexity of time series over multiple temporal scales. Recent developments in the field have tried to extend the MSE technique in different ways. Building on these trends, we propose the so-called refined composite multivariate multiscale fuzzy entropy (RCmvMFE) whose coarse-
Hamed Azami, Javier Escudero
exaly   +4 more sources

Refined Composite Multivariate Multiscale Fuzzy Dispersion Entropy: Theoretical Analysis and Applications

Chaos, Solitons and Fractals
Multivariate multiscale sample entropy (mvMSE) is a popular method to quantify the irregularity of multi-channel time series. However, mvMSE generates either undefined or unreliable results for short-length signals and has a high computational cost. To address these issues, multivariate multiscale dispersion entropy (mvMDE) was recently developed, but ...
Hamed Azami, Anne Humeau-Heurtier
exaly   +3 more sources

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Multiscale Fuzzy Entropy-Based Feature Selection

IEEE Transactions on Fuzzy Systems, 2023
Tianrui Li, Hongmei Chen, Jihong Wan
exaly   +2 more sources

Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification

Entropy, 2021
International audienceTwo-dimensional fuzzy entropy, dispersion entropy, and their multiscale extensions (MFuzzyEn2D and MDispEn2D, respectively) have shown promising results for image classifications.
Anne Humeau-Heurtier, Vincent O'Brien, Mirvana Hilal   +2 more
exaly   +2 more sources

EDM-Fuzzy: An Euclidean Distance Based Multiscale Fuzzy Entropy Technology for Diagnosing Faults of Industrial Systems

IEEE Transactions on Industrial Informatics, 2021
Sample entropy (SampEn) technologies have been widely applied in diagnosing the faults of industrial systems. However, there are two disadvantages of these technologies. First, all of these technologies measure the distance of two vectors solely based on the maximum distance between the corresponding elements in the two vectors, which is not able to ...
Jian Wan, Neal N. Xiong, Xiao Wang
exaly   +2 more sources

Three-Dimensional Multiscale Fuzzy Entropy: Validation and Application to Idiopathic Pulmonary Fibrosis

IEEE Journal of Biomedical and Health Informatics, 2021
Idiopathic Pulmonary Fibrosis (IPF) is a chronic, severe, and progressive lung disease with short life expectancy. Based on information theory and entropy measurement, a three-dimensional multiscale fuzzy entropy (MFE 3D) algorithm is proposed to identify IPF patients from their computed tomography (CT) volumetric data.
Andreia Sofia F. Gaudencio, Pedro G. Vaz, Mirvana Hilal, Joao M. Cardoso, Guillaume Mahe, Mathieu Lederlin, Anne Humeau-Heurtier   +6 more
openaire   +3 more sources

Modified multiscale fuzzy entropy: A robust method for short-term physiologic signals

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
The introduction of the multiscale entropy (MSE) method was a milestone in the field of complex physiological signal analysis. However, since MSE is inapplicable for short signals, several variants of MSE have been proposed. One of the most important variants of MSE is the modified multiscale entropy (MMSE), even though it can still produce biased ...
Airton Monte Serrat Borin, Luiz Eduardo Virgilio Silva, Luiz Otavio Murta   +2 more
openaire   +2 more sources

Rolling Bearing Fault Diagnosis Based on CEEMDAN and Refined Composite Multiscale Fuzzy Entropy

IEEE Transactions on Instrumentation and Measurement, 2021
Considering the nonlinear and nonstationary characteristics of rolling bearing vibration signals, we propose a rolling bearing fault diagnosis method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), refined composite multiscale fuzzy entropy (RCMFE), Laplace score (LS), and the particle swarm optimization ...
Shuzhi Gao, Quan Wang, Yimin Zhang 0006
openaire   +1 more source

A Study of Sleep Stages Threshold Based on Multiscale Fuzzy Entropy

2018
The classification of sleep stages based on EEG signals has become a prerequisite for monitoring sleep quality and diagnosing sleep-related diseases. Many researchers have conducted related research work. But, they often overlook the effect of the extracted characteristics on actual sleep staging results and the interpretation in psychology and ...
Xuexiao Shao, Bin Hu 0001, Yalin Li, Xiangwei Zheng 0001   +3 more
openaire   +2 more sources