(1) Background: Chaos, a feature of nonlinear dynamical systems, is well suited for
exploring biological time series, such as heart rates, respiratory records, and particularly …

In this tutorial we present recently developed nonlinear methods of cardiovascular physics
and show their potentials to clinically relevant problems in cardiology. The first part …

Electroencephalography (EEG)-based monitoring the state of the user's brain functioning
and giving her/him the visual/audio/tactile feedback is called neurofeedback technique, and …

In this paper, the focus is on the analysis of a scalp electroencephalography (EEG) database
of human subjects using the electrophysiological source imaging or source localization and …

OBJECTIVE: There is an ongoing research effort devoted to characterize the signal
regularity metrics approximate entropy (ApEn) and sample entropy (SampEn) in order to …

Alzheimer's disease (AD) is one of the most frequent disorders among elderly population
and it is considered the main cause of dementia in western countries. This irreversible brain …

Brain computer interface (BCI) technology as its name implies, relies upon decoding brain
signals into operational commands. Aside from needing effective means of control …

In search of more detailed explanations for body-mind interactions in physical activity, neural
and physiological effects, especially regarding more strenuous sports activities, increasingly …

Multistablity analysis and formation of spiral wave in the fractional‐order nonlinear systems
is a recent hot topic. In this paper, dynamics, coexisting attractors, complexity, and …

Electroencephalography (EEG) has been recently investigated as a biometric modality for
automatic people recognition purposes. Several studies have shown that brain signals …