#CHANGING LINE WIDTH MATLAB 2012 CODE#
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Fractal analyses estimates the power law exponent, H, that defines the particular kind of scale invariant structure of the biomedical signal. Formally, the biomedical signal X( t) are scale invariant when X( ct) = c HX( t). A biomedical signal has a scale invariant structure when the structure repeats itself on subintervals of the signal. Biomedical signals from a wide range of physiological phenomena posses a scale invariant structure. The structural characteristics of biomedical signals are often visually apparent, but not captured by conventional measures like the average amplitude of the signal. 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. After introducing MFDFA, the tutorial discusses the best practice of MFDFA in biomedical signal processing.

#CHANGING LINE WIDTH MATLAB 2012 CODE#

All Matlab tools needed are available in Introduction to MFDFA folder at the website MFDFA are introduced in Matlab code boxes where the reader can employ pieces of, or the entire MFDFA to example time series. The tutorial presents MFDFA step-by-step in an interactive Matlab session.

The present tutorial is an introduction to multifractal detrended fluctuation analysis (MFDFA) that estimates the multifractal spectrum of biomedical time series.

The multifractal spectrum identifies the deviations in fractal structure within time periods with large and small fluctuations.

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Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, NorwayДЇractal structures are found in biomedical time series from a wide range of physiological phenomena.

Changing line width matlab 2012