Results 1 to 10 of about 797 (160)
Multifractal Detrended Fluctuation Analysis of Human gait Diseases [PDF]
Frontiers in Physiology, 2013 IIn this paper multifractal detrended fluctuation analysis is used to study the human gait time series for normal and diseased sets. It is observed that long range correlation is primarily responsible for the origin of multifractality.
Srimonti eDutta +2 more
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Characterizing stroke-induced changes in the variability of lower limb kinematics using multifractal detrended fluctuation analysis [PDF]
Frontiers in Neurology, 2022 Movement variability reflects the adaptation of the neuromuscular control system to internal or external perturbations, but its relationship to stroke-induced injury is still unclear.
Pan Xu +6 more
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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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From Accelerometer to Cognition: Hand Motion Can Reflect Effects of Cardiac Coherence on Cognitive Flexibility [PDF]
SensorsHand displacements during task-directed movements are not random, but exhibit fractal behavior. Wearable sensing e.g., accelerometer-derived hand movement fluctuations, could add a significant contribution to cognitive and behavioral sciences, by ...
Alix Bouni +3 more
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The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
تحقیقات مالی, 2012 One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
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Topics in Cognitive Science, EarlyView., 2023 Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot +5 more
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Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature
Remote Sensing, 2020 Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was applied to time series of global methane concentrations and remotely-sensed temperature anomalies of the global lower and mid-troposphere, with the purpose of investigating the multifractal ...
Chris G. Tzanis +3 more
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IEEE Access, 2020 Power-grid faults pose a great threat to the economy and to social stability. In this paper, the detrended fluctuation analysis method is used to investigate the scaling properties of power grid faults and the correlation between faults and ...
Tejun Zhou +3 more
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Fractal and Fractional, 2023 Financial prediction persists a strenuous task in Fintech research. This paper introduces a multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA)-based deep learning forecasting model to predict a succeeding day log return via ...
Luochao Wang, Raymond S. T. Lee
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Multifractal analysis of solar flare indices and their horizontal visibility graphs [PDF]
Nonlinear Processes in Geophysics, 2012 The multifractal properties of the daily solar X-ray brightness, X<sub><i>l</i></sub> and X<sub><i>s</i></sub>, during the period from 1 January 1986 to 31 December 2007 which includes two solar cycles are ...
Z. G. Yu, V. Anh, R. Eastes, D.-L. Wang
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