Detrended Fluctuation Analysis
A Multifractal Detrended Fluctuation Analysis of the Moroccan Stock Exchange
... In this paper, we investigate the multifractal properties of MASI and MADEX logarithmic returns using the multifractal detrended fluctuation analysis MF-DFA. We first calculate the fluctuation ...
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Two-dimensional multifractal detrended fluctuation analysis for plant identification
... tal analysis (MFA) methods were proposed ...multifractal detrended fluctuation analysis (MF-DFA) method that can deal with non-stationary is a desirable method for leaf image analysis ...
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A Sleep Scoring System Using EEG Combined Spectral and Detrended Fluctuation Analysis Features
... combine detrended fluctuation analysis features and spectral features of single electroencephalograph (EEG) channel for the purpose of building an automated sleep staging sys- tem based on the hybrid ...
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Extracting a seizure intensity index from one channel EEG signal using bispectral and detrended fluctuation analysis
... using Detrended Fluctuation Analysis (DFA), Bis- pectral Analysis (BIS), and Standard Deviation (SD) three features from single-channel EEG signals have been derived in the foresaid ...
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A Fault Diagnosis Scheme of Gear Vibration Signal Based on Variational Mode Decomposition and Detrended Fluctuation Analysis
... local fluctuation rather than the large scale ...local fluctuation can effectively improve the recognition performance of the gear ...and detrended fluctuation analysis (DFA) is ...
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Proarrhythmic risk and determinants of cardiac autonomic dysfunction in collagen induced arthritis rats
... Backgrounds: Patients with rheumatoid arthritis (RA) have increased risk of sudden cardiac death (SCD), which is two-fold higher than general population. The driving cause of SCD was considered due to lift-threatening ...
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Therapeutic effect of Yang-Xue-Qing-Nao granules on sleep dysfunction in Parkinson’s disease
... in detrended fluctuation analysis (DFA) of physical activity with respect to diurnal activity (DA), evening activity (EA), nocturnal activity (NA), Parkinson ’ s disease sleep scale (PDSS) score and ...
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Multifractal detrended fluctuation analysis in examining scaling properties of the spatial patterns of soil water storage
... scaling analysis for soil water are the presence of localized trends and nonstationarities in the spatial ...multifractal detrended fluctuation analysis ...
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Multi complexity measures of heart rate variability and the effect of vasopressor titration: a prospective cohort study of patients with septic shock
... statistical models. The degree of clustering can be mea- sured, and appropriate statistical models for clustered data must account for the degree of clustering/non-inde- pendence [34]. Generalized linear mixed models ...
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Long Range Correlation in Time Series of News Sentiments
... the Detrended Fluctuation Analysis of order 1 (DFA), Rescaled Range Analysis (R/S), Average Wavelet Coefficient Method (AWC) and Fourier Transform Method ...R/S analysis and Fourier ...
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Discriminating Between Explosions and Earthquakes by the SDFA Method
... Smoothed Detrended Fluctuation Analysis method (SDFA) like an additional classification tool to discriminate between natural tectonic earthquakes and human-made ...
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Characterisation of linear predictability and non stationarity of subcutaneous glucose profiles
... Subcutaneous glucose profiles are characterized by a strong non-stationarity, which limits the application of correlation-spectral analysis. We derived an index of linear predictability by calculating the ...
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Multifractal analysis of solar flare indices and their horizontal visibility graphs
... multifractal analysis has been developed for the multifractal characterisation of normalised, stationary time ...Multifractal detrended fluctuation analysis (MF- DFA), which is a ...
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On the feasibility of tilt test outcome early prediction using ECG and pressure parameters
... (detrended fluctuation analysis and sample entropy); second, using a multivariable nonlinear classifier (support vector machine); and finally, including additional physiological signals (stroke ...
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R/S analysis and DFA: finite sample properties and confidence intervals
... However, the estimates for pure Gaussian process can strongly deviate from the limit of 0.5 (Weron, 2002; and Couillard & Davison, 2005). Moreover, the estimates are influenced by choice of minimum and maximum scale ...
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Source Of The Multifractality In Exchange Markets: Multifractal Detrended Fluctuations Analysis
... In this study, we analyzed the multifractality and the source of multifractality of the returns of GBP/USD, EUR/USD, USD/JPY and USD/CHF currencies. In the examination of multifractality we performed the Multifractal ...
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Monitoring the depth of anaesthesia using simplified electroencephalogram (EEG)
... A Modified Detrended Fluctuation Analysis (MDFA I) method is presented in Chapter 5. The DFA algorithm finds a trend on the integrated EEG signals. The integrations on EEG signals are divided in ...
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Multifractal variability in geoelectrical signals and correlations with seismicity: a study case in southern Italy
... Abstract. Multifractal fluctuations in the time dynamics of geoelectrical data, recorded in a seismic area of southern Italy, have been revealed using the Multifractal Detrended Fluctuation Analysis ...
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Essential Feature Extraction of Photoplethysmography Signal of Men and Women in Their 20s
... advancement analysis is ...fractal analysis. The fractal analysis provides an ability to measure the pattern behaviour of the time series and serial correlation over time windows ...is ...
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Nonlinear fluctuation analysis for a set of 41 magnetic clouds measured by the Advanced Composition Explorer (ACE) spacecraft
... The physical bases for the use of the techniques are the plasma features related to the MC processes. Physical– mathematical techniques have been selected for their ability to allow the investigation of MC occurrences. ...
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