Results 21 to 30 of about 1,557,577 (150)
The aim of this study was to develop an integrated system of non-contact sleep stage detection and sleep disorder treatment for health monitoring. Hence, a method of brain activity detection based on microwave scattering technology instead of scalp ...
Daoshuang Geng +3 more
doaj +2 more sources
A New Denoising Method for Underwater Acoustic Signal
In recent years, the rapid development of marine science has put forward higher and higher requirements for the processing of ship-radiated noise signal.
Hong Yang, Lulu Li, Guohui Li
doaj +2 more sources
In this paper, we propose multivariate multiscale weighted dispersion transfer entropy (MM-WDTE). This method introduces weight coefficients and weight probabilities in the symbolization process of dispersion patterns to retain key information to the greatest extent and effectively improve the robustness to noise.
Danlei Gu, Aijing Lin
openaire +2 more sources
Complexity Analysis of Three-Dimensional Fractional-Order Chaotic System Based on Entropy Theory
Complexity analysis of fractional-order chaotic system is an interesting topic in recent years. How to measure the complexity of fractional-order chaotic system correctly and effectively is the basis of its theoretical analysis and engineering ...
Guohui Li, Xiangyu Zhang, Hong Yang
doaj +1 more source
Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]
Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W +14 more
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Hierarchical Multiscale Fluctuation Dispersion Entropy for Fuel Injection System Fault Diagnosis [PDF]
Marine electronically controlled (ME) two-stroke diesel engines occupy the highest market share in newly-built ships and its fuel injection system is quite different and important.
Hu Yihuai +8 more
core +1 more source
Multivariate refined composite multiscale entropy analysis [PDF]
Multiscale entropy (MSE) has become a prevailing method to quantify signals complexity. MSE relies on sample entropy. However, MSE may yield imprecise complexity estimation at large scales, because sample entropy does not give precise estimation of ...
A. Humeau-Heurtier +1 more
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Univariate and Multivariate Generalised Multiscale Entropy to Characterise EEG Signals in Alzheimer’s Disease [PDF]
Alzheimer’s disease (AD) is a degenerative brain disorder leading to memory loss and changes in other cognitive abilities. The complexity of electroencephalogram (EEG) signals may help to characterise AD.
Simons, Samantha +3 more
core +3 more sources
A multivariate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis [PDF]
The recently introduced multivariate multiscale entropy (MMSE) has been successfully used to quantify structural complexity in terms of nonlinear within- and cross-channel correlations as well as to reveal complex dynamical couplings and various degrees ...
Danilo Mandic +9 more
core +1 more source
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Hong Liu +5 more
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