Introduction to Multifractal Detrended Fluctuation Analysis in Matlab
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 fluct...
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| Format: | Online |
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Frontiers Research Foundation
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3366552/ |
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pubmed-33665522012-06-06 Introduction to Multifractal Detrended Fluctuation Analysis in Matlab Ihlen, Espen A. F. Physiology 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. Frontiers Research Foundation 2012-06-04 /pmc/articles/PMC3366552/ /pubmed/22675302 http://dx.doi.org/10.3389/fphys.2012.00141 Text en Copyright © 2012 Ihlen. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Ihlen, Espen A. F. |
| spellingShingle |
Ihlen, Espen A. F. Introduction to Multifractal Detrended Fluctuation Analysis in Matlab |
| author_facet |
Ihlen, Espen A. F. |
| author_sort |
Ihlen, Espen A. F. |
| title |
Introduction to Multifractal Detrended Fluctuation Analysis in Matlab |
| title_short |
Introduction to Multifractal Detrended Fluctuation Analysis in Matlab |
| title_full |
Introduction to Multifractal Detrended Fluctuation Analysis in Matlab |
| title_fullStr |
Introduction to Multifractal Detrended Fluctuation Analysis in Matlab |
| title_full_unstemmed |
Introduction to Multifractal Detrended Fluctuation Analysis in Matlab |
| title_sort |
introduction to multifractal detrended fluctuation analysis in matlab |
| description |
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. |
| publisher |
Frontiers Research Foundation |
| publishDate |
2012 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3366552/ |
| _version_ |
1611534416885055488 |