Detrended fluctuation analysis - Open Access .click

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
openaire +1 more source

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
openaire +2 more sources

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 +4 more
openaire +2 more sources

mathematics
scaling
geometry

computer science
statistics
fractal

physics
mathematical analysis
artificial intelligence