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The Multiscale Entropy Algorithm and Its Variants: A Review
4 references·6 citing·19 second hop
The Multiscale Entropy Algorithm and Its Variants: A Review (2015)The Multiscale Entropy Algorithm and Its …Analysis of complex time series using refined composite multiscale entropy (2014)Analysis of complex time seri…Multivariate multiscale entropy: A tool for complexity analysis of multichannel data (2011)Multivariate multiscale entro…Measuring complexity using FuzzyEn, ApEn, and SampEn (2008)Measuring complexity using Fu…Approximate entropy as a measure of system complexity. (1991)Approximate entropy as a meas…Snake Optimization-Based Variable-Step Multiscale Single Threshold Slope Entropy for Complexity Analysis of Signals (2023)Snake Optimization-Based Vari…EntropyHub: An open-source toolkit for entropic time series analysis (2021)EntropyHub: An open-source to…(Multiscale) Cross-Entropy Methods: A Review (2019)(Multiscale) Cross-Entropy Me…Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy (2018)Coarse-Graining Approaches in…Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis (2017)Refined multiscale fuzzy entr…Refined Composite Multiscale Permutation Entropy to Overcome Multiscale Permutation Entropy Length Dependence (2015)Refined Composite Multiscale …Multivariate Multiscale Entropy Analysis (2011)Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals (2018)Improved Permutation Entropy for Measuring Complexity of Time Series under Noisy Condition (2019)Fuzzy sets (1965)Fuzzy sets (1996)Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines (2015)Elements of Forecasting (1997)Electroencephalogram Profiles for Emotion Identification over the Brain Regions Using Spectral, Entropy and Temporal Biomarkers (2019)Electroencephalogram Emotion Recognition Based on Dispersion Entropy Feature Extraction Using Random Oversampling Imbalanced Data Processing (2021)Dispersion Entropy: A Measure for Time-Series Analysis (2016)Approach to an irregular time series on the basis of the fractal theory (1988)Multiscale Entropy Approaches and Their Applications (2020)Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information (2013)Disruption of neural periodicity predicts clinical response after deep brain stimulation for obsessive-compulsive disorder (2024)Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings (2013)Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations (2017)Amplitude- and Fluctuation-Based Dispersion Entropy (2018)Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator (2011)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)
this work references cited by second hop

References

  • 1991Approximate entropy as a measure of system complexity.5,811 cited
  • 2008Measuring complexity using FuzzyEn, ApEn, and SampEn725 cited
  • 2011Multivariate multiscale entropy: A tool for complexity analysis of multichannel data345 cited
  • 2014Analysis of complex time series using refined composite multiscale entropy336 cited

Cited by

  • 2017Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis169 cited
  • 2021EntropyHub: An open-source toolkit for entropic time series analysis136 cited
  • 2015Refined Composite Multiscale Permutation Entropy to Overcome Multiscale Permutation Entropy Length Dependence98 cited
  • 2019(Multiscale) Cross-Entropy Methods: A Review93 cited
  • 2023Snake Optimization-Based Variable-Step Multiscale Single Threshold Slope Entropy for Complexity Analysis of Signals78 cited
  • 2018Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy67 cited

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