Deep learning methods for remote heart rate measurement: A review and future research agenda
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …
the human body. While traditional HR monitors usually require contact with skin, remote …
The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost,
pre-clinical health monitoring. In this work we propose a new approach to remote …
pre-clinical health monitoring. In this work we propose a new approach to remote …
The first vision for vitals (v4v) challenge for non-contact video-based physiological estimation
Telehealth has the potential to offset the high demand for help during public health
emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG)-the …
emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG)-the …
A heart rate monitoring framework for real-world drivers using remote photoplethysmography
Remote photoplethysmography (rPPG) is an unobtrusive solution to heart rate monitoring in
drivers. However, disturbances that occur during driving such as driver behavior, motion …
drivers. However, disturbances that occur during driving such as driver behavior, motion …
Self-supervised representation learning framework for remote physiological measurement using spatiotemporal augmentation loss
Recent advances in supervised deep learning methods are enabling remote measurements
of photoplethysmographybased physiological signals using facial videos. The performance …
of photoplethysmographybased physiological signals using facial videos. The performance …
A neonatal dataset and benchmark for non-contact neonatal heart rate monitoring based on spatio-temporal neural networks
The digital revolution of noncontact physiological signal monitoring in clinical and home
health care is underway, and deep learning techniques are incredibly popular. Camera …
health care is underway, and deep learning techniques are incredibly popular. Camera …
Nas-hr: Neural architecture search for heart rate estimation from face videos
Background In anticipation of its great potential application to natural human-computer
interaction and health monitoring, heart-rate (HR) estimation based on remote …
interaction and health monitoring, heart-rate (HR) estimation based on remote …
Review on remote heart rate measurements using photoplethysmography
RJ Lee, S Sivakumar, KH Lim - Multimedia Tools and Applications, 2024 - Springer
Remote photoplethysmography (rPPG) gains recent great interest due to its potential in
contactless heart rate measurement using consumer-level cameras. This paper presents a …
contactless heart rate measurement using consumer-level cameras. This paper presents a …
Contactless Blood Oxygen Saturation Estimation from Facial Videos Using Deep Learning
Blood oxygen saturation (SpO2) is an essential physiological parameter for evaluating a
person's health. While conventional SpO2 measurement devices like pulse oximeters …
person's health. While conventional SpO2 measurement devices like pulse oximeters …
Remote photoplethysmography: Rarely considered factors
Y Mironenko, K Kalinin… - Proceedings of the …, 2020 - openaccess.thecvf.com
Remote Photoplethysmography (rPPG) is a fast-growing technique of vital sign estimation by
analyzing video of a person. Several major phenomena affecting rPPG signals were studied …
analyzing video of a person. Several major phenomena affecting rPPG signals were studied …