The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …

Over the last few years, a rich amount of research has been conducted on remote vital sign
monitoring of the human body. Remote photoplethysmography (rPPG) is a camera-based …

Heart rate (HR) and respiratory rate (fR) can be estimated by processing videos framing the
upper body and face regions without any physical contact with the subject. This paper …

Data-driven remote vital sign estimation provides an efficient alternative to on-site clinical
monitoring, however, its performance can be biased due to the imbalanced training sets. In …

Camera-based contactless photoplethysmography refers to a set of popular techniques for
contactless physiological measurement. The current state-of-the-art neural models are …

Polysomnography (PSG), the current gold standard method for monitoring and detecting
sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep …

Several papers have rightly included minority groups in artificial intelligence (AI) training
data to improve test inference for minority groups and/or society-at-large. A society-at-large …

Camera-based remote photoplethysmography (rPPG) provides a non-contact way to
measure physiological signals (eg, heart rate) using facial videos. Recent deep learning …

Scene representation networks, or implicit neural representations (INR) have seen a range
of success in numerous image and video applications. However, being universal function …

Heart rate monitoring is especially important for aging individuals because it is associated
with longevity and cardiovascular risk. Typically, this vital parameter can be measured using …