On the Validity of Detrended Fluctuation Analysis at Short Scales [PDF]
Entropy, 2021 Detrended Fluctuation Analysis (DFA) has become a standard method to quantify the correlations and scaling properties of real-world complex time series. For a given scale ℓ of observation, DFA provides the function F(ℓ), which quantifies the fluctuations
Pedro Carpena +2 more
doaj +3 more sources
Detrended fluctuation analysis of earthquake data [PDF]
Physical Review Research, 2021 The detrended fluctuation analysis (DFA) is extensively useful in stochastic processes to unveil the long-term correlation. Here, we apply the DFA to point processes that mimic earthquake data.
Takumi Kataoka +2 more
doaj +5 more sources
Multifractal detrended fluctuation analysis of nonstationary time series [PDF]
, 2002 We develop a method for the multifractal characterization of nonstationary time series, which is based on a generalization of the detrended fluctuation analysis (DFA).
Alados +50 more
core +6 more sources
Detrended fluctuation analysis of gait dynamics when entraining to music and metronomes at different tempi in persons with multiple sclerosis [PDF]
Sci Rep, 2020 In persons with multiple sclerosis (PwMS), synchronizing walking to auditory stimuli such as to music and metronomes have been shown to be feasible, and positive clinical effects have been reported on step frequency and perception of fatigue.
Lousin Moumdjian +6 more
semanticscholar +3 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 +4 more sources
Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series [PDF]
Diagnostics, 2022 A coarse-graining procedure, which involves averaging time series in non-overlapping windows followed by processing of the obtained multiple data sets, is the initial step in the multiscale entropy computation method.
Alexander A. Koronovskii +7 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 +2 more sources
Quantitative ECG based emotion state recognition using Detrended Fluctuation Analysis [PDF]
Current Directions in Biomedical Engineering, 2023 Wearable emotion recogniton system is essential in identifying mental health disorders by early detection and continuous monitoring of human emotions to provide proper treatment care.
Anandan Meena +2 more
doaj +2 more sources
A new protection scheme for PV-wind based DC-ring microgrid by using modified multifractal detrended fluctuation analysis [PDF]
Protection and Control of Modern Power Systems, 2022 This paper presents fault detection, classification, and location for a PV-Wind-based DC ring microgrid in the MATLAB/SIMULINK platform. Initially, DC fault signals are collected from local measurements to examine the outcomes of the proposed system ...
Kanche Anjaiah +2 more
openalex +2 more sources
Assessing the Temporal Organization of Walking Variability: A Systematic Review and Consensus Guidelines on Detrended Fluctuation Analysis [PDF]
Front Physiol, 2020 Human physiological signals are inherently rhythmic and have a hallmark feature in that even distant intrasignal measurements are related to each other.
Deepak K. Ravi +5 more
semanticscholar +2 more sources