Nonlinear trend removal should be carefully performed in heart rate variability analysis [PDF]
$\bullet$ Background : In Heart rate variability analysis, the rate-rate time series suffer often from aperiodic non-stationarity, presence of ectopic beats etc. It would be hard to extract helpful information from the original signals.
Dubois, Rémi +3 more
core +2 more sources
Evaluating the Quality of Ground-Based Microwave Radiometer Measurements and Retrievals Using Detrended Fluctuation and Spectral Analysis Methods [PDF]
K. Ivanova +5 more
openalex +1 more source
Removal of Dust Microelectric Signal Based on Empirical Mode Decomposition and Multifractal Detrended Fluctuation Analysis. [PDF]
Li J, Sun Y, Cheng X.
europepmc +1 more source
Cerebral and Peripheral Hemodynamics Across Wakefulness and NREM Sleep
ABSTRACT Wake/sleep‐related changes in cerebral hemodynamic oscillations are well established, but similar changes in peripheral hemodynamics remain largely understudied. Moreover, how the relationship between cerebral and peripheral hemodynamics varies across sleep–wake states is not well understood, despite evidence that these oscillations in the low‐
Vidhya V. Nair +5 more
wiley +1 more source
The fault signal of the gearbox is the complex signal of the non-stationary and nonlinear characteristics,by using the multifractal detrended fluctuation analysis(MF-DFA)and the support vector machine(SVM)to diagnose the fault of the gearbox.The ...
刘春林 +3 more
doaj
A novel 2-dimensional Multifractal Detrended Fluctuation Analysis (2D-MFDFA) as a discriminator for Generative Adversarial Networks (GAN) is presented in this work. The proposed approach demonstrates improved generated data quality at early iterations on
Charudatta Gurudas Korde +4 more
doaj +1 more source
Evaluation of non-linear heart rate variability using multi-scale multi-fractal detrended fluctuation analysis in mice: Roles of the autonomic nervous system and sinoatrial node. [PDF]
Moghtadaei M, Dorey TW, Rose RA.
europepmc +1 more source
Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models
ABSTRACT We consider the problem of exact maximum likelihood estimation of potentially high‐order (p>50$$ p>50 $$) autoregressive models. We propose an extremely fast coordinate‐wise algorithm for fitting autoregressive models. This fast algorithm exploits several properties of the negative log‐likelihood when parameterised in terms of partial ...
Daniel F. Schmidt, Enes Makalic
wiley +1 more source
Study of the Characteristics of the Long-Term Persistence of Hourly Wind Speed in Xinjiang Based on Detrended Fluctuation Analysis [PDF]
Xiuqin Wang +5 more
openalex +1 more source
Generalized Structure Functions and Multifractal Detrended Fluctuation Analysis Applied to Vegetation Index Time Series: An Arid Rangeland Study. [PDF]
Sanz E +8 more
europepmc +1 more source

