Photoplethysmography (PPG) is a low-cost, noninvasive optical technique that uses change
in light transmission with changes in blood volume within tissue to provide information for …

Background and objectives Photoplethysmography (PPG) is a device that measures the
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …

Smart wearables provide an opportunity to monitor health in daily life and are emerging as
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …

Training and testing process for the classification of biomedical datasets in machine learning
is very important. The researcher should choose carefully the methods that should be used …

Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography
(PPG) could open the way for better sleep disorder screening and health monitoring …

Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

Automated sleep stage classification using heart rate variability (HRV) may provide an
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …

Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while slee**. This reduction in …

Abstract Study Objectives Accurate identification of sleep stages is essential in the diagnosis
of sleep disorders (eg obstructive sleep apnea [OSA]) but relies on labor-intensive …

Abstract Study Objectives: To compare the accuracy of automatic sleep staging based on
heart rate variability measured from photoplethysmography (PPG) combined with body …