Measures of heart rate variability (HRV) as a predictor of risk of disease and mortality have
been investigated from various perspectives for more than six decades. The aim of the …

Cardiac parasympathetic activity may be non-invasively investigated using heart rate
variability (HRV), although HRV is not widely accepted to reflect sympathetic activity …

Affective Computing has emerged as an important field of study that aims to develop
systems that can automatically recognize emotions. Up to the present, elicitation has been …

Segmentation is a critical step for many algorithms, especially for remote
photoplethysmography (rPPG) applications as only the skin surface provides information …

Previous research has demonstrated positive associations between the greenness of high
school landscapes and school wide academic performance. We do not known, however, if …

In the last two decades, a growing body of theory and research has targeted the role of
cardiac vagal control (CVC) in emotional responding. This research has either focused on …

The aim of this systematic review was to explore studies regarding association between
occupational stress and heart rate variability (HRV) during work. We searched PubMed …

Social change due to COVID-19 has had negative impacts on the mental health of people
who live indoors. One of the possible solutions to these problems is to introduce biophilic …

Cardiac innervation by the parasympathetic nervous system (PNS) and the sympathetic
nervous system (SNS) modulates the heart rate (HR)(chronotropic activity) and the …

Heart rate (HR) estimation is an essential physiological parameter in the field of biomedical
imaging. Remote Photoplethysmography (r-PPG) is a pathbreaking development in this field …