Multiscale entropy analysis of biological signals.

By Madalena Costa, Ary L. Goldberger, Chung-Kang Peng. Physical review. E, Statistical, nonlinear, and soft matter physics, 2005

2,351 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/00e6980e218c21dcc6fcdd0551158bdae67ad63b

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Citations in the corpus

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.”
A review on the applications of wavelet transform in hydrology time series analysis (2013, positive): “Compared with traditional entropy measures, sample entropy and multi-scale entropy are more effective and applicable for analyzing those systems with multi-temporal scales characteristics (Zhang, 1991; Costa et al., 2005).”
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.”
Diagnosis of Alzheimer's disease from EEG signals: where are we standing? (2010, methodology): “Various complexity measures have been used to quantify EEG complexity; some of them stem from information theory [71, 72], including Tsallis entropy [72], approximate entropy [73], sample entropy [74], multiscale entropy [75, 76], automutual information (see, e.”
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…”
Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial (2021, methodology): “[83] suggested instead examining irregularity in multiple spatio-temporal scales where SampEn is estimated on more than one scale, giving rise to a new entropy-based method called MSE.”
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).”
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox (2019, methodology): “Each element of a coarse-grained signal is calculated by using the following equation [32]:”