Multiscale entropy analysis of complex physiologic time series.

By Madalena Costa, Ary L. Goldberger, Chung-Kang Peng. Physical Review Letters, 2002

3,025 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/bd236fdb9cd17581ad69c98dc79e9f589ca74bad

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In Cardiology and Cardiovascular Medicine

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Citations in the corpus

Automatic Stage Scoring of Single-Channel Sleep EEG by Using Multiscale Entropy and Autoregressive Models (2012, methodology): “Recently, a new signal analysis method called multiscale entropy (MSE) has been proposed [17], [18] to estimate the”
A comparative study on ApEn, SampEn and their fuzzy counterparts in a multiscale framework for feature extraction (2010, methodology): “The pattern length m is usually fixed as 2 in ( Costa et al., 2002; 2005; Escudero et al., 2006; Li and Zhang, 2008; Wang and Ma, 2008).”
The Virtual Brain: a simulator of primate brain network dynamics (2013, methodology): “Results of the proposed modeling protocol are presented in Figure 12 where the EEG traces from channel Oz for the resting and evoked states are shown together with the MSE estimates.”
Methods derived from nonlinear dynamics for analysing heart rate variability (2009, methodology): “They provide additional prognostic information and complement traditional time- and frequency-domain analyses of HRV. Today, the question is no longer about whether or not methods from NLD should be applied; however, it is relevant to ask which of the methods should be selected and under which basic”
Time-dependent series variance learning with recurrent mixture density networks (2013, background): “This is a micro-level view of the underlying volatility process, which is different from the macro-level view of complexity science [12,35].”
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox (2019, methodology): “The coarse-grained process has been successfully used for quantifying the complexity of complex physiologic time series [31] and recently for vibration time series signals [20], [21] measured from mechanical systems.”
The Multiscale Entropy Algorithm and Its Variants: A Review (2015, methodology): “The MSE algorithm is composed of two steps [3,4] (1) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales.”
Time Series Analysis Using Composite Multiscale Entropy (2013, methodology): “These applications include the analyses of the human gait dynamics [2], heart rate variability [3,4], electroencephalogram [5], postural control [6], vibration of rotary machine [7,8], rainfall time series [9], time series of river flow [10], electroseismic time series [11], time series of traffic f”
Multi-scale entropy analysis of Mississippi River flow (2007, methodology): “Motivated by Zhang’s study, Costa et al. (2002, 2005) introduced the Multi-scale entropy (MSE) analysis and applied it to measure the complexity of biologic systems using the time series of heart rates and human gaits.”