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Mixed-Frequency rTMS Rapidly Modulates Multiscale EEG Biomarkers of Excitation-Inhibition Balance in Autism Spectrum Disorder: A Single-Case Report. [PDF]

Brain Sci
Aydin A, Yildirim A, Kara O, Mwenda Z.
europepmc   +1 more source

High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change. [PDF]

Sci Rep
Saeidinia M, Haghiabi AH, Nazeri Tahroudi M, Nasrolahi A, De Michele C.   +4 more
europepmc   +1 more source

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Fourier-detrended fluctuation analysis

Physica A: Statistical Mechanics and its Applications, 2005
Abstract Many features of natural phenomena can be observed using time records or series of observations. The time records of phenomena such as physiological and economic data or the temperature of a river can display short- and long-term time scales. These signals can also present trends which are an important aspect of their complexity.
C.V. Chianca, A. Ticona, T.J.P. Penna
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Adaptive time-varying detrended fluctuation analysis

Journal of Neuroscience Methods, 2012
Detrended fluctuation analysis (DFA) is a technique commonly used to assess and quantify the presence of long-range temporal correlations (LRTCs) in neurophysiological time series. Convergence of the method is asymptotic only and therefore its application assumes a constant scaling exponent.
Luc, Berthouze, Simon F, Farmer
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Detrended fluctuation analysis using orthogonal polynomials

Physical Review E, 2020
An alternative analysis approach, namely, orthogonal detrended fluctuation analysis (ODFA), is proposed to quantify the long-range correlation exponent. This method uses an orthogonal polynomial to attenuate any trends and quantify the (auto-) correlations in the data. The method is tested using numerically simulated data with long-range correlation. A
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Detrended fluctuation analysis for major depressive disorder

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Clinical utility of Electroencephalography (EEG) based diagnostic studies is less clear for major depressive disorder (MDD). In this paper, a novel machine learning (ML) scheme was presented to discriminate the MDD patients and healthy controls. The proposed method inherently involved feature extraction, selection, classification and validation.
Wajid, Mumtaz, Aamir Saeed, Malik, Syed Saad Azhar, Ali, Mohd Azhar Mohd, Yasin, Hafeezullah, Amin   +4 more
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Smoothed detrended fluctuation analysis

Journal of Statistical Computation and Simulation, 2016
ABSTRACTThe method of detrended fluctuation analysis (DFA) is useful in revealing the extent of long-range dependence, it has successfully been applied to different fields of interest. In this paper we proposed a smoothed detrended fluctuation analysis method based on the principle of wavelet shrinkage.
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Detrended Fluctuation Analysis of uterine electromyography

2011 1st Middle East Conference on Biomedical Engineering, 2011
In respect to the main goal of our ongoing work for predicting preterm birth, we analyze in this paper uterine EMG recordings of 11 pregnant and laboring women by means of Detrended Fluctuation Analysis (DFA), a scaling analysis method that quantifies a simple parameter to represent the correlation properties of a time series.
Bassam Moslem, Mohamad O. Diab, Mohamad Khalil, Catherine Marque   +3 more
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A Multifractal Detrended Fluctuation Analysis Approach Using Generalized Functions

Physica A: Statistical Mechanics and its Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Suzielli M. Mendonça, Brenno C.T. Cabella, Alexandre S. Martinez   +2 more
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