Results 231 to 240 of about 1,200,520 (247)

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

open access: yesChaos, 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

Dispersion Entropy-based Fuzzy Classification for Motor Imagery Electroencephalogram

open access: yes, 2022
Fuzzy logic-based systems are a widely used method for both classification and control. Electroencephalography sign is frequently used in some studies such as Brain-Computer Interfaces. In this study, the popular and up-to-date Dispersion Entropy method is used to determine the values of fuzzy membership functions. The dynamic properties of time series
Balcı, Furkan
core   +3 more sources

Fuzzy Dispersion Entropy: A Nonlinear Measure for Signal Analysis

IEEE Transactions on Fuzzy Systems, 2022
Hamed Azami   +2 more
exaly   +3 more sources

Ensemble Fractional Fuzzy Dispersion Entropy: A Low Bias Approach for Data Analysis

Engineering Applications of Artificial Intelligence
Chengjiang Zhou, Xuanyu Liao
exaly   +2 more sources

A New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms

Clinical Neurology and Neurosurgery, 2021
A new EEG-based methodology is presented for differential diagnosis of the Alzheimer's disease (AD), Mild Cognitive Impairment (MCI), and healthy subjects employing the discrete wavelet transform (DWT), dispersion entropy index (DEI), a recently-proposed nonlinear measurement, and a fuzzy logic-based classification algorithm.
Juan P, Amezquita-Sanchez   +3 more
openaire   +2 more sources

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