In recent years the intersection of wearable technologies and machine learning (ML) based
deep learning (DL) approaches have highlighted their potential in sleep research. Yet, a …

The accuracy of actigraphy for sleep staging is assumed to be poor, but examination is
limited. This systematic review aimed to assess the performance of actigraphy in sleep stage …

Accurate physical activity monitoring is essential to understand the impact of physical activity
on one's physical health and overall well-being. However, advances in human activity …

Existing activity tracker datasets for human activity recognition are typically obtained by
having participants perform predefined activities in an enclosed environment under …

Previous studies suggest short-term cognitive benefits of physical activity occurring minutes
to hours after exercise. Whether these benefits persist the following day and the role of sleep …

Purpose Body-worn accelerometers are commonly used to estimate sleep duration in
population-based studies. However, since accelerometry-based sleep/wake-scoring relies …

Auscultation of the heart and the electrocardiogram (ECG) are two central components of the
cardiac exam. Recent innovations of the stethoscope have enabled the simultaneous …

Sleep is a crucial health metric linked to various health problems. Accurate analysis of sleep
duration relies on identifying sleep and wake phases. While Polysomnography is …

The role that sleep patterns play in sepsis risk remains poorly understood. The objective was
to evaluate the association between various sleep behaviours and the incidence of sepsis …

Objectives We assessed the modulation of allostatic load (AL) by engagement in healthy
habits and life stressors, mediated through resilience and the perceived influence of the …