Over the last years, fractal and multifractal geometries were applied extensively in many
medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis …

Sleep apnea syndrome (SAS) is a common but underdiagnosed health problem related to
impaired quality of life and increased cardiovascular risk. In order to solve the problem of …

Nonlinear science research is a hot point in the world. It has deepened our cognition of
determinism and randomicity, simplicity and complexity, noise and order and it will …

The skeletal muscle is an integrated multicomponent system with complex dynamics of
continuous myoelectrical activation of various muscle types across time scales to facilitate …

We investigate the asymmetry of heart rate control system and suggest a simple index to
quantify this asymmetry by performing high-dimensional time irreversibility tests to heartbeat …

A study of ventricular fibrillation and ventricular tachycardia was undertaken using
multifractal analysis. By applying the method of direct determination of the f (α) singularity …

This study is aimed at assessing muscle fatigue during a static contraction using multifractal
analysis and found that the surface electromyographic (SEMG) signals characterized …

This paper addresses the challenge of extracting meaningful information from measured
bioelectric signals generated by complex, large scale physiological systems such as the …

Purpose Multifractal applications to resting state functional MRI (rs‐fMRI) time series for
diagnosing Alzheimer's disease (AD) are still limited. We aim to address two issues:(I) if and …

Human body surface electrocardiogram (ECG) is non-stationary and frequency-varying by
nature that belongs to a typical nonlinear signal. Therefore, traditional linear and time …