Time-lag cross-correlations in collective phenomena

B Podobnik, D Wang, D Horvatic, I Grosse… - Europhysics …, 2010 - iopscience.iop.org
We study long-range magnitude cross-correlations in collective modes of real-world data
from finance, physiology, and genomics using time-lag random matrix theory. We find long …

Increased brain microvascular hemoglobin concentrations in children with cerebral malaria

RL Smith, AK Ikeda, CA Rowley… - Science Translational …, 2023 - science.org
Brain swelling is associated with death from cerebral malaria, but it is unclear whether brain
swelling is caused by cerebral edema or vascular congestion—two pathological conditions …

Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique

T Zorick, MA Mandelkern - PloS one, 2013 - journals.plos.org
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 …

Single channel EEG analysis for detection of depression

M Bachmann, J Lass, H Hinrikus - Biomedical Signal Processing and …, 2017 - Elsevier
Purpose This study is aimed at finding a simple method for detection of depression based on
the analysis of single channel short-term EEG signals. Materials and methods The accuracy …

An empirical examination of detrended fluctuation analysis for gait data

S Damouras, MD Chang, E Sejdić, T Chau - Gait & posture, 2010 - Elsevier
Stride interval series exhibit statistical persistence, and detrended fluctuation analysis (DFA)
is a routinely employed technique for describing this behavior. However, the implementation …

Wavelet leaders: a new method to estimate the multifractal singularity spectra

E Serrano, A Figliola - Physica A: Statistical Mechanics and its Applications, 2009 - Elsevier
Wavelet Leaders is a novel alternative based on wavelet analysis for estimating the
Multifractal Spectrum. It was proposed by Jaffard and co-workers improving the usual …

A study on the possible usefulness of detrended fluctuation analysis of the electroencephalogram background activity in Alzheimer's disease

D Abásolo, R Hornero, J Escudero… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
We studied the EEG background activity of Alzheimer's disease (AD) patients with detrended
fluctuation analysis (DFA). DFA provides an estimation of the scaling information and long …

The time-singularity multifractal spectrum distribution

G Xiong, S Zhang, Q Liu - Physica A: Statistical Mechanics and its …, 2012 - Elsevier
Although the multifractal singularity spectrum revealed the distribution of singularity
exponent, it failed to consider the temporal information, therefore it is hard to describe the …

A multi scale time–frequency analysis on electroencephalogram signals

M Pal, P Manimaran, PK Panigrahi - Physica A: Statistical Mechanics and …, 2022 - Elsevier
It is well known, the Electroencephalogram (EEG) signals are non-stationary signals which
helps us in understanding the complex brain dynamics, cognitive processes, etc. In this …

Singularity-exponent-domain image feature transform

G Xiong, F Wang, W Yu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Combining the generalized fractal theory and the time-frequency distribution, the image
feature decomposition in the singularity exponent domain is studied in this paper. With the …