Signal decompositions such as wavelet and Gabor transforms have successfully been
applied in denoising problems. Empirical mode decomposition (EMD) is a recently proposed …

Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear
and non-stationary time series by decomposing them into intrinsic mode functions (IMFs) …

The physiological signals that are recorded from different parts of the human body have a
non-stationary nature and the tracking of their dynamics is an interesting research problem …

The analysis of heart rate variability (HRV) is an important diagnostic method for detection
and assessment of cardiac abnormalities. The availability of complete computer frameworks …

This paper presents several mathematical methods for analysis of electrocardiogram digital
data. The measurement of beat to beat fluctuations known as Heart Rate Variability …

Heart rate variability (HRV) analysis can be successfully applied to automatic classification
of cardiac rhythm abnormalities. This paper presents a novel Java-based computer …

The analysis of heart rate variability (HRV) aids in the diagnosis of various diseases related
to the malfunction of the autonomic nervous system. Traditional approaches for analysis of …

In this paper, the detrended fluctuation analysis DFA is used to investigate and quantify the
QT-RR interaction in different pathologic cases in order to distinguish between them. The …

Global Navigation Satellite System (GNSS) receivers are used in various applications like
navigation, surveying, mapping, space weather prediction and aircraft landing, which are …

We proposed a novel robust denoising method using variational-mode decomposition
(VMD) and the detrended fluctuation analysis (DFA) in the frequencyoffset (fx) domain …