Abstract Study Objectives Sleep is reflected not only in the electroencephalogram but also in
heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage …

We introduce a novel approach for robust estimation of physiological parameters such as
interbeat interval (IBI) and heart rate variability (HRV) from cardiac signals captured with …

Cardiovascular diseases are identified as one of the most dangerous diseases and the
major causes of the death around the world. One of the most common cardiac arrhythmias …

Electrocardiogram (ECG) is a critical application in light of R‐peak detection. The R‐peaks
are impacted by some QRS complex and noises in the current method. Basic testability …

This paper presents the development of an Internet of Things-assisted architecture for QRS
complex detection in an electrocardiogram regardless of the age and physiological …

Background Sepsis is a life-threatening disease with an in-hospital mortality rate of
approximately 20%. Physicians at the emergency department (ED) have to estimate the risk …

Hemodynamic management is a mainstay of patient care in the operating room and
intensive care unit (ICU). In order to optimize patient treatment, researchers investigate …

The biopsychosocial (BPS) model proposes that health is best understood as a combination
of bio-physiological, psychological and social determinants, and thus advocates for a far …

Sustained customisation of digital health intervention (DHI) programs, in the context of
community health engagement, requires strong integration of multi-sourced interdisciplinary …

Hemodynamic management is a mainstay of patient care in the operating room and
intensive care unit (ICU). In order to optimize patient treatment, researchers investigate …