Detrended fluctuation analysis: A scale-free view on neuronal oscillations [PDF]
Frontiers in Physiology, 2012 Recent years of research have shown that the complex temporal structure of ongoing oscillations is scale-free and characterized by long-range temporal correlations.
Richard eHardstone +7 more
doaj +2 more sources
Introduction to multifractal detrended fluctuation analysis in matlab. [PDF]
Front Physiol, 2012 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 ...
Ihlen EA.
europepmc +6 more sources
Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique. [PDF]
PLoS ONE, 2013 Recently, many lines of investigation in neuroscience and statistical physics have converged to raise the hypothesis that the underlying pattern of neuronal activation which results in electroencephalography (EEG) signals is nonlinear, with self-affine ...
Todd Zorick, Mark A Mandelkern
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Effect of nonlinear filters on detrended fluctuation analysis [PDF]
Physical Review E, 2005 We investigate how various linear and nonlinear transformations affect the scaling properties of a signal, using the detrended fluctuation analysis (DFA).
Bernaola-Galvan, P. +5 more
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Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis [PDF]
Frontiers in Human Neuroscience, 2015 A quantitative and objective assessment of background electroencephalograph (EEG) in sick neonates remains an everyday clinical challenge. We studied whether long range temporal correlations quantified by detrended fluctuation analysis (DFA) could be ...
Vladimir eMatic +12 more
doaj +2 more sources
Detecting Long-range Correlations with Detrended Fluctuation Analysis [PDF]
Physica A: Statistical Mechanics and its Applications, 2001 We examine the Detrended Fluctuation Analysis (DFA), which is a well-established method for the detection of long-range correlations in time series. We show that deviations from scaling that appear at small time scales become stronger in higher orders of
Absil +42 more
core +2 more sources
Power considerations for the application of detrended fluctuation analysis in gait variability studies. [PDF]
PLoS ONE, 2017 The assessment of gait variability using stochastic signal processing techniques such as detrended fluctuation analysis (DFA) has been shown to be a sensitive tool for evaluation of gait alterations due to aging and neuromuscular disease.
Nikita A Kuznetsov, Christopher K Rhea
doaj +2 more sources
Empirical properties of inter-cancellation durations in the Chinese stock market [PDF]
Frontiers in Physics, 2014 Order cancellation process plays a crucial role in the dynamics of price formation in order-driven stock markets and is important in the construction and validation of computational finance models.
Gao-Feng eGu +10 more
doaj +3 more sources
Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs [PDF]
SensorsThis study proposes a hybrid analytical framework for detecting chondromalacia using vibroacoustic (VAG) signals from patients with knee osteoarthritis (OA) and healthy controls (HCs).
Anna Machrowska +5 more
doaj +2 more sources
Detrended fluctuation analysis based on best-fit polynomial
Frontiers in Environmental Science, 2022 Detrended fluctuation analysis (DFA) can quantify long-range correlation (LRC) and fractal scaling behavior of signal. We compared the results of variant DFA methods by varying the order of the polynomial and found that the order of 6 was relatively ...
Shanshan Zhao +5 more
doaj +1 more source