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Multiscale permutation entropy analysis of electrocardiogram
Physica A: Statistical Mechanics and Its Applications, 2017Abstract To make a comprehensive nonlinear analysis to ECG, multiscale permutation entropy (MPE) was applied to ECG characteristics extraction to make a comprehensive nonlinear analysis of ECG. Three kinds of ECG from PhysioNet database, congestive heart failure (CHF) patients, healthy young and elderly subjects, are applied in this paper.
Zhaorong Shi
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Financial time series analysis based on fractional and multiscale permutation entropy
Communications in Nonlinear Science and Numerical Simulation, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pengjian Shang
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Weighted multiscale Rényi permutation entropy of nonlinear time series
Physica A: Statistical Mechanics and Its Applications, 2018Abstract In this paper, based on Renyi permutation entropy (RPE), which has been recently suggested as a relative measure of complexity in nonlinear systems, we propose multiscale Renyi permutation entropy (MRPE) and weighted multiscale Renyi permutation entropy (WMRPE) to quantify the complexity of nonlinear time series over multiple time scales ...
Shijian Chen, Pengjian Shang
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Multivariate weighted multiscale permutation entropy for complex time series
Nonlinear Dynamics, 2017In this paper, we propose multivariate multiscale permutation entropy (MMPE) and multivariate weighted multiscale permutation entropy (MWMPE) to explore the complexity of the multivariate time series over multiple different time scales. First, we apply these methods to the simulated trivariate time series which is compose of white noise and 1/f noise ...
Yi Yin +2 more
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Multiscale permutation entropy analysis of the EEG in early stage alzheimer's patients
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012 Alzheimer's Disease (AD) is a neurodegenerative disorder associated with a progressive loss of cognitive function. Early identification of AD, when symptoms are mild, can be difficult. Therefore, the development of clinically useful measures are necessary to improve diagnosis of the disease and to allow for early clinical intervention, as well as to ...
Morison, Gordon +2 more
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Multiscale Tsallis permutation entropy analysis for complex physiological time series
Physica A: Statistical Mechanics and Its Applications, 2019Abstract Discussing the complexity of time series has been a long-standing problem, including the use of information entropy to determine the complexity of the sequence. Permutation entropy (PE) has been regarded as a learning process to investigate the complexity of time series, such as financial time series and physiological time series.
Pengjian Shang
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Refined composite multiscale weighted-permutation entropy of financial time series
Physica A: Statistical Mechanics and Its Applications, 2018Abstract For quantifying the complexity of nonlinear systems, multiscale weighted-permutation entropy (MWPE) has recently been proposed. MWPE has incorporated amplitude information and been applied to account for the multiple inherent dynamics of time series.
Yongping Zhang, Pengjian Shang
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Analysis of crude oil markets with improved multiscale weighted permutation entropy
Physica A: Statistical Mechanics and Its Applications, 2018Abstract Entropy measures are recently extensively used to study the complexity property in nonlinear systems. Weighted permutation entropy (WPE) can overcome the ignorance of the amplitude information of time series compared with PE and shows a distinctive ability to extract complexity information from data having abrupt changes in magnitude ...
Hongli Niu
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2023 IEEE Statistical Signal Processing Workshop (SSP), 2023
Multi-scale permutation entropy (MPE) is an interesting tool for analyzing signal internal structures and quan-tifying complexity. The most commonly used MPEs involve a linear preprocessing step applied to the original signal prior to the evaluation of the permutation entropy (PE).
Meryem Jabloun +2 more
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Multi-scale permutation entropy (MPE) is an interesting tool for analyzing signal internal structures and quan-tifying complexity. The most commonly used MPEs involve a linear preprocessing step applied to the original signal prior to the evaluation of the permutation entropy (PE).
Meryem Jabloun +2 more
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Assessing multiscale permutation entropy for short electroencephalogram recordings
Cluster Computing, 2016Electroencephalogram (EEG) has been a standard tool to monitor the status of the brain. For a quantification of EEG recordings, permutation entropy (PE) has been of interest due to simplicity and robustness to noise. A multiscale extension of PE, called multiscale PE (MPE), has been promising for describing the dynamical characteristics of EEG over ...
Young-Seok Choi +2 more
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