Deep learning methods for remote heart rate measurement: A review and future research agenda

CH Cheng, KL Wong, JW Chin, TT Chan, RHY So - Sensors, 2021 - mdpi.com
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 …

Remote photoplethysmography for heart rate measurement: A review

H Xiao, T Liu, Y Sun, Y Li, S Zhao, A Avolio - Biomedical Signal Processing …, 2024 - Elsevier
Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …

Camera-based recovery of cardiovascular signals from unconstrained face videos using an attention network

Y Deshpande, S Thapa, A Sarkar… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper addresses the problem of recovering the shape morphology of blood volume
pulse (BVP) information from a video of a person's face. Video-based remote …

A survey of photoplethysmography and imaging photoplethysmography quality assessment methods

T Desquins, F Bousefsaf, A Pruski, C Maaoui - Applied Sciences, 2022 - mdpi.com
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 …

RobustPPG: camera-based robust heart rate estimation using motion cancellation

AK Maity, J Wang, A Sabharwal… - Biomedical Optics Express, 2022 - opg.optica.org
Camera-based heart rate measurement is becoming an attractive option as a non-contact
modality for continuous remote health and engagement monitoring. However, reliable heart …

A compensation network with error mapping for robust remote photoplethysmography in noise-heavy conditions

BF Wu, YC Wu, YW Chou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) measurement has received much attention due to its
attractive applications in contactless physiological monitoring. It calculates the blood volume …

Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network

D Botina-Monsalve, Y Benezeth, J Miteran - BioMedical Engineering …, 2022 - Springer
Background Remote photoplethysmography (rPPG) is a technique developed to estimate
heart rate using standard video cameras and ambient light. Due to the multiple sources of …

Heart rate estimation from facial videos using nonlinear mode decomposition and improved consistency check

H Demirezen, C Eroglu Erdem - Signal, Image and Video Processing, 2021 - Springer
Remote photoplethysmography (rPPG) is a non-contact and noninvasive way of measuring
human physiological signals such as the heart rate using the subtle color changes of skin …

The continuous memory: A neural network with ordinary differential equations for continuous-time series analysis

B Li, H Chen, Z An, Y Yu, Y Jia, L Chen, M Sun - Applied Soft Computing, 2024 - Elsevier
Continuous-time series analysis has garnered significant research interest due to its
extensive applications; however, it remains a challenging endeavor. In recent years, deep …

Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications

Z Wang, J Li, Y Jin, J Wang, F Yang, G Li, X Ni… - Digital Signal …, 2021 - Elsevier
Wearable technologies provide a non-invasive way to monitor user's activity, identity, and
health in real-time, which have attracted tremendous interests from both academia and …