Stroke prediction is a key health issue for preventive medicine. Atrial fibrillation (AF)
detection is well established and the importance of obstructive sleep apneas (OSA) has …

Background: Sleep is essential for human health. Considerable effort has been put into
academic and industrial research and in the development of wireless body area networks for …

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 …

Since the pioneering studies of the 1960s, heart rate variability (HRV) has become an
increasingly used non-invasive tool for examining cardiac autonomic functions and …

This paper presents a signal analysis technique for machine health monitoring based on the
Hilbert-Huang Transform (HHT). The HHT represents a time-dependent series in a two …

Trend identification is an important issue in hydrological time series analysis, but it is also a
difficult task due to the diverse performances of methods. This paper mainly investigated the …

A method for monitoring the evolution of gear faults based on the newly developed empirical
mode decomposition scheme is presented. A theoretical model for a gear pair with a tooth …

A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD)
is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with …

Adapting radiation delivery to respiratory motion is made possible through corrective action
based on real‐time feedback of target position during respiration. The advantage of this …

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 …