This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …

It has been demonstrated that heart rate variability (HRV) is predictive of all-cause and
cardiovascular mortality using clinical ECG recordings. This is true for rest, exercise and …

Heart rate variability (HRV) is a measurement of the fluctuation of time between each
heartbeat and reflects the function of the autonomic nervous system. HRV is an important …

Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

Introduction: Heart Rate Variability (HRV) and Pulse Rate Variability (PRV), are non-invasive
techniques for monitoring changes in the cardiac cycle. Both techniques have been used for …

Despite the increasing awareness of the importance of sleep, the number of people suffering
from insufficient sleep has increased every year. The gold-standard sleep assessment uses …

Heart rate variability has been largely used for the assessment of cardiac autonomic activity,
due to the direct relationship between cardiac rhythm and the activity of the sympathetic and …

Sleep is an important part of the human daily routine. Restoring sleep is strongly related to a
better physical, cognitive, and psychological well-being. By contrast, poor or disordered …

Stress is one of the most significant health problems in today's world. Existing work has used
heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it …

In this paper, we present a machine learning model to estimate the blood pressure (BP) of a
person using only his photoplethysmogram (PPG) signal. We propose algorithms to better …