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Introduction to Multifractal Detrended Fluctuation Analysis in Matlab

Frontiers in Physiology · 2012 · Vol. 3 · pp. 141–141
Espen A. F. Ihlen

Abstract

Fractal structures are found in biomedical time series from a wide range of physiological phenomena. The multifractal spectrum identifies the deviations in fractal structure within time periods with large and small fluctuations. The present tutorial is an introduction to multifractal detrended fluctuation analysis (MFDFA) that estimates the multifractal spectrum of biomedical time series. The tutorial presents MFDFA step-by-step in an interactive Matlab session. All Matlab tools needed are available in Introduction to MFDFA folder at the website www.ntnu.edu/inm/geri/software. MFDFA are introduced in Matlab code boxes where the reader can employ pieces of, or the entire MFDFA to example time series. After introducing MFDFA, the tutorial discusses the best practice of MFDFA in biomedical signal processing. The main aim of the tutorial is to give the reader a simple self-sustained guide to the implementation of MFDFA and interpretation of the resulting multifractal spectra.

Complex Systems and Time Series AnalysisFractal and DNA sequence analysisChaos control and synchronizationMultifractal systemMATLABComputer scienceDetrended fluctuation analysisFractalSeries (stratigraphy)SoftwareAlgorithmPattern recognition (psychology)Data mining
Citations
897
FWCI
100.82
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52
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References
Multifractal detrended fluctuation analysis of nonstationary time series
Physica A Statistical Mechanics and its Applications · 2002 · 3,555 citations
Detecting long-range correlations with detrended fluctuation analysis
Physica A Statistical Mechanics and its Applications · 2001 · 1,386 citations
Time-dependent Hurst exponent in financial time series
Physica A Statistical Mechanics and its Applications · 2004 · 402 citations
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