Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective
strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables …

Recent studies have reported that occupants' physiological responses can be indicators of
indoor environmental quality (IEQ). As a result, there is an emerging demand for devices to …

Background Hypertension is a crucial health indicator because it provides subtle details
about a patient's cardiac health. Photoplethysmography (PPG) signals are a critical …

Background Photoplethysmography (PPG) is a low-cost and easy-to-implement method to
measure vital signs, including heart rate (HR) and pulse rate variability (PRV) which widely …

Scoring polysomnography for obstructive sleep apnea diagnosis is a laborious, long, and
costly process. Machine learning approaches, such as deep neural networks, can reduce …

The carotid artery should be frequently examined to prevent sudden death by stroke.
However, ultrasonography is limited because medical staff must perform the procedure …

Photoplethysmography is a method to visualize the variation in blood volume within tissues
with light. The signal obtained has been used for the monitoring of patients, interpretation for …

This paper presents a novel approach for diagnosing Community-Acquired Pneumonia
(CAP) in children using single-channel photoplethysmography (PPG) using machine …

The extraction of relevant features from the photoplethysmography signal for estimating
certain physiological parameters is a challenging task. Various feature extraction methods …

Photoplethysmography (PPG) allows various statements about the physiological state. It
supports multiple recording setups, ie, application to various body sites and different …