Results 31 to 40 of about 781,500 (170)

Investigating the Stroke- and Aging-Related Changes in Intermuscular Coupling by Refined Composed Multiscale Fuzzy Entropy

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Although the entropy algorithm is widely applied in signal complexity analysis, its stability and reliability are limited due to the existence of abnormal signal points.
Hairong Yu, Yuanyu Wu, Rong Song
semanticscholar   +4 more sources

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series [PDF]

Entropy, 2019
Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience.
Hamed Azami, Alberto Fernández, Javier Escudero   +2 more
doaj   +2 more sources

An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction

Computational Intelligence and Neuroscience, 2019
Feature extraction of motor imagery electroencephalogram (MI-EEG) has shown good application prospects in the field of medical health. Also, multivariate entropy-based feature extraction methods have been gradually applied to analyze complex multichannel
Ming-Ai Li, Ruotu Wang, Jin-Fu Yang, Lijuan Duan   +3 more
semanticscholar   +3 more sources

Composite Multiscale Fractional Fuzzy Diversity Entropy and Its Application in Bearing Fault Identification

Fractal and Fractional
This paper presents an intelligent fault identification approach integrating composite multiscale fractional fuzzy diversity entropy (CMFFDE) for feature extraction, joint mutual information (JMI) for feature selection, and an extreme learning machine ...
Xiong Gan, Guangyou Yang
doaj   +2 more sources

Multiscale Entropy Analysis of Short Signals: The Robustness of Fuzzy Entropy-Based Variants [PDF]

, 2021
Abstract Multiscale entropy (MSE) analysis is a fundamental approach to access the complexity of a time series by estimating its information creation over a range of temporal scales. However, MSE may not be accurate or valid for short time series.
Airton Monte Serrat Borin, Anne Humeau-Heurtier, Luiz Otavio Murta, Luiz Eduardo Virgilio Silva   +3 more
openaire   +1 more source

Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology

Sensors, 2023
The utilization of multiscale entropy methods to characterize vibration signals has proven to be promising in intelligent diagnosis of mechanical equipment.
Zhengkun Xue, Yukun Huang, Wanyang Zhang, Jinchuan Shi, Huageng Luo   +4 more
doaj   +1 more source

Weakly fuzzy topological entropy [PDF]

, 2022
summary:In 2005, İ. Tok fuzzified the notion of the topological entropy R. A. Adler et al. (1965) using the notion of fuzzy compactness of C. L. Chang (1968).
Afsan, B M Uzzal
core   +1 more source

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Entropy, 2021
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

Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment [PDF]

Entropy, 2019
The refined multiscale entropy (RMSE) approach is commonly applied to assess complexity as a function of the time scale. RMSE is normally based on the computation of sample entropy (SampEn) estimating complexity as conditional entropy. However, SampEn is dependent on the length and standard deviation of the data.
José F. Valencia, Jose D. Bolanos, Montserrat Vallverdú, Erik W. Jensen, Alberto Porta, Pedro L. Gambús   +5 more
openaire   +5 more sources

Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras

Entropy, 2022
The extension of sample entropy methodologies to multivariate signals has received considerable attention, with traditional univariate entropy methods, such as sample entropy (SampEn) and fuzzy entropy (FuzzyEn), introduced to measure the complexity of ...
Hongjian Xiao, Theerasak Chanwimalueang, Danilo P. Mandic   +2 more
doaj   +1 more source