Engineering and scientific applications are frequently affected by turbulent phenomena,
which are associated with a great deal of uncertainty and complexity. Therefore, proper …

Great effort has been devoted in recent years to the development of sudden cardiac risk
predictors as a function of electric cardiac signals, mainly obtained from the …

This paper presents a sensor fusion method for assessing physical activity (PA) of human
subjects, based on support vector machines (SVMs). Specifically, acceleration and …

In this paper, the extraction of the life activity spectrum based on the millimeter (mm) wave
radar is designed to realize the detection of target objects and the threshold trigger module …

Episodes of hypotension during hemodialysis treatment constitutes an important clinical
problem which has received considerable attention in recent years. Despite the fact that …

In this paper, a new Ka-band Doppler radar with an ability to remotely monitor respiration
rate, heartbeat rate (HR), and heart rate variability (HRV) is presented. Exploiting the …

Electronic health record (EHR) automates the clinician workflow, allowing evidence-based
decision support and quality management. We aimed to start a framework for domain …

Heart rate turbulence (HRT) is a biphasic reaction to a ventricular premature contraction
(VPC) mainly mediated by the baroreflex. It can be used for risk stratification in different …

The aim of this study is to address a comprehensive methodology based on a multi-lead
extracted metric with simple mathematical origin to detect and delineate important events of …

Denoising is a significant preprocessing process, garnering substantial attention across
various signal-processing domains. Many traditional denoising methods assume signal …