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Time-Shift Multiscale Entropy Analysis of Physiological Signals [PDF]
Entropy, 2017 Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for ...
Tuan D Pham
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Hydrologic Regionalization Using Wavelet-Based Multiscale Entropy Method
Journal of Hydrology, 2016 Catchment regionalization is an important step in estimating hydrologic parameters of ungaged basins. This paper proposes a multiscale entropy method using wavelet transform and k-means based hybrid approach for clustering of hydrologic catchments. Multi-
Ankit Agarwal +2 more
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MULTISCALE COMPLEXITY/ENTROPY [PDF]
Advances in Complex Systems, 2004 We discuss the role of scale dependence of entropy/complexity and its relationship to component interdependence. The complexity as a function of scale of observation is expressed in terms of subsystem entropies for a system having a description in terms of variables that have the same a priori scale.
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Topological entropy bounds multiscale entropy
Topology and its Applications, 2023In this paper, the concept of topological entropy is defined for a discrete dynamical system over a compact metric space \(X\). Section 1 is introductory. Section 2 is devoted to the concept of topological entropy with respect to an observable function: \[ h(f,\varphi)=\sup\{h(f,\varphi,\mathcal{A}); \mathcal{A}\in \mathcal{R}\}, \] where \(f:X\to X ...
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IEEE Signal Processing Letters, 2015
Multiscale permutation entropy (MPE) has recently been proposed to evaluate complexity of time series. MPE has numerous advantages over other multiscale complexity measures, such as its simplicity, robustness to noise and its low computational cost.
Anne Humeau-Heurtier +2 more
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Multiscale permutation entropy (MPE) has recently been proposed to evaluate complexity of time series. MPE has numerous advantages over other multiscale complexity measures, such as its simplicity, robustness to noise and its low computational cost.
Anne Humeau-Heurtier +2 more
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Multiscale Entropy for Physical Activity Recognition
Proceedings of the 2020 2nd Asia Pacific Information Technology Conference, 2020This paper presents the evaluation of multiscale entropy (MSE) as a feature in physical activity recognition compared to the mostly used traditional features. Walking, jogging, and running were chosen as the physical activities for the comparison considering their similarities.
Nurul Retno Nurwulan, Bernard C. Jiang
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Multivariate multiscale entropy of financial markets
Communications in Nonlinear Science and Numerical Simulation, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yunfan Lu, Jun Wang
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Multiscale entropy analysis of biological signals
Physical Review E, 2005Traditional approaches to measuring the complexity of biological signals fail to account for the multiple time scales inherent in such time series. These algorithms have yielded contradictory findings when applied to real-world datasets obtained in health and disease states.
Madalena, Costa +2 more
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System Design for Data Analysis with Multiscale Entropy
2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM), 2021An engineered lightweight architecture has been used on the server side for different purposes. One of them was to provide an environment for data collection and analysis. Since most of the data analysis is static- and post-process, there is a challenge to apply existing data analysis to data collected in real time.
Halmon Lui, Chen-Hsiang Yu
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Analysis of Impact Factors of Multiscale Entropy
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018Multiscale entropy (MSE) is an algorithm to quantify the complexity of physiological dynamics system. It has been widely applied in different fields to probe into inherent information of biological signals. Although it is important for us to understand how these differences of signals patterns affect the trend of MSE, the factors impacting MSE and ...
Teng Zhang +4 more
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