Over the past 25 years, much research has been devoted to the development of Health and
Usage Monitoring (HUM) systems for rotorcraft gearbox and drivetrain components. The …

Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly developing. This paper is a Part III …

The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Good quality
ECG are utilized by physicians for interpretation and identification of physiological and …

Electroencephalographic (EEG) recordings are often contaminated with muscle artifacts.
This disturbing myogenic activity not only strongly affects the visual analysis of EEG, but also …

In this paper, we propose a new two-stage methodology that combines the ensemble
empirical mode decomposition (EEMD) with multidimensional k-nearest neighbor model …

This paper relates to the newly developed Hilbert–Huang transformation (HHT). An overview
of this time-frequency analysis technique and its applications are given. Key elements of the …

The increasing prevalence of functional and motility gastrointestinal (GI) disorders is at odds
with bottlenecks in their diagnosis, treatment, and follow-up. Lack of noninvasive …

Cutaneous electrogastrography (EGG) is a non‐invasive technique to record gastric
myoelectrical activity from the abdominal surface. Although the recent rapid increase in the …

Transient neural assemblies mediated by synchrony in particular frequency ranges are
thought to underlie cognition. We propose a new approach to their detection, using empirical …

Heart rate variability (HRV) is a well-known phenomenon whose characteristics are of great
clinical relevance in pathophysiologic investigations. In particular, respiration is a powerful …