Complexity may be one of the most important measurements for analysing time series data;
it covers or is at least closely related to different data characteristics within nonlinear system …

Electrocardiographic (ECG) monitoring allows temporal analysis of cardiac rhythm. We are
usually interested in the variability of two components of the ECG: RR interval (a surrogate …

An innovative computer-assisted diagnosis system for chronic heart failure (CHF) was
proposed in this study, based on cardiac reserve (CR) indexes extraction, heart sound …

Multifractal analysis studies signals, functions, images or fields via the fluctuations of their
local regularity along time or space, which capture crucial features of their temporal/spatial …

Background: Multifractal analysis of human heartbeat dynamics has been demonstrated to
provide promising markers of congestive heart failure (CHF). Yet, it crucially builds on the …

Objective: To characterize the multifractal behavior of the beat to beat heart-period or RR
fluctuations in fibromyalgia patients (FM) in comparison with healthy-matched subjects …

The multifractal properties of two-channel ECG patterns of patients suffering from severe
congestive heart failure (New York Heart Association (NYHA) classes III–IV) are studied and …

Three distinct methods, namely, the spectral density, the multifractal random walk approach,
and the multifractal detrended fluctuation analysis are utilized to study the properties of four …

Two popular estimators of multifractal properties: the Wavelet Transform Modulus Maxima
method and Multifractal Detrended Fluctuation Analysis are applied to investigate signals …

Increasing pieces of evidence have supported those chemicals from industrial, agricultural
wastes and organoleptic activities play important role in the development of neurological …