Entropy analysis of univariate biomedical signals: Review and comparison of methods
Nonlinear techniques have found an increasing interest in the dynamical analysis of various
kinds of systems. Among these techniques, entropy-based metrics have emerged as …
kinds of systems. Among these techniques, entropy-based metrics have emerged as …
Research on carbon asset trading strategy based on PSO-VMD and deep reinforcement learning
J Zhang, K Chen - Journal of Cleaner Production, 2024 - Elsevier
As the financialization of carbon emission right, develo** effective carbon asset trading
strategy is important for both investors and regulators. Traditional trading strategy based on …
strategy is important for both investors and regulators. Traditional trading strategy based on …
Fuzzy dispersion entropy: A nonlinear measure for signal analysis
Entropy is a powerful tool for nonlinear analysis of time series. We have recently introduced
dispersion entropy (DispEn), which has widely drawn attention from researchers in a variety …
dispersion entropy (DispEn), which has widely drawn attention from researchers in a variety …
The physiologic complexity of beat‐to‐beat blood pressure is associated with age‐related alterations in blood pressure regulation
X Jiang, X Mang, H Zhou, J Chen, H Tan, H Ren… - Aging …, 2024 - Wiley Online Library
The fluctuations in resting‐state beat‐to‐beat blood pressure (BP) are physiologically
complex, and the degree of such BP complexity is believed to reflect the multiscale …
complex, and the degree of such BP complexity is believed to reflect the multiscale …
Complexity analysis of EEG in patients with social anxiety disorder using fuzzy entropy and machine learning techniques
The diagnosis of social anxiety disorder (SAD) is of great consequence not only due to its
impacts on the individual and society but also the expenditures to the national health …
impacts on the individual and society but also the expenditures to the national health …
Assessment of dispersion and bubble entropy measures for enhancing preterm birth prediction based on electrohysterographic signals
F Nieto-del-Amor, R Beskhani, Y Ye-Lin… - Sensors, 2021 - mdpi.com
One of the remaining challenges for the scientific-technical community is predicting preterm
births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction …
births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction …
Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series
Y Li, G Tian, Y Cao, Y Yi, D Zhou - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Entropy has long been a subject that has attracted researchers from a diverse range of
fields, including healthcare, finance, and fault detection. Slope entropy (SE) has recently …
fields, including healthcare, finance, and fault detection. Slope entropy (SE) has recently …
Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion
Objective Compared to mechanical signals that are used for estimating human limb motion
intention, non-invasive surface electromyography (sEMG) is a preferred signal in human …
intention, non-invasive surface electromyography (sEMG) is a preferred signal in human …
Ensemble entropy: A low bias approach for data analysis
To quantify the irregularity of data, there are a number of entropy measures each with its
own advantages and disadvantages. In this pilot study, a new concept, namely ensemble …
own advantages and disadvantages. In this pilot study, a new concept, namely ensemble …
Refined composite multiscale fuzzy dispersion entropy and its applications to bearing fault diagnosis
Rotary machines often exhibit nonlinear behavior due to factors such as nonlinear stiffness,
dam**, friction, coupling effects, and defects. Consequently, their vibration signals display …
dam**, friction, coupling effects, and defects. Consequently, their vibration signals display …