Results 71 to 80 of about 1,258 (163)

Estimation of vital signs from facial videos via video magnification and deep learning

iScience, 2023
Summary: The continuous monitoring of vital signs is one of the hottest topics in healthcare. Recent technological advances in sensors, signal processing, and image processing spawned the development of no-contact techniques such as remote ...
Bin Lin, Jing Tao, Jingjing Xu, Liang He, Nenrong Liu, Xianzeng Zhang   +5 more
doaj   +1 more source

Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

, 2023
Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG).
Li, Xiaobai, Sun, Zhaodong
core  

Dedicated Exposure Control for Remote Photoplethysmography

IEEE Access, 2020
This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for ...
Jordan Laurie, Niall Higgins, Thierry Peynot, Jonathan Roberts   +3 more
doaj   +1 more source

Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective comparative trial protocol

BMJ Open, 2021
Introduction Physiological signals are essential for assessing human health. The absence of a medical device to carry out these measurements remotely is one of the main limitations of telemedicine.
Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier   +5 more
doaj   +1 more source

Enhancing rPPG Pulse-Signal Recovery by Facial Sampling and PSD Clustering [PDF]

In order to increase the accuracy of traditional methods for camera-based pulse rate estimation, we propose a novel systemic approach that extracts multiple remote photoplethysmography (rPPG) signals from a set of scattered facial patches and effectively
Alessandro D'Amelio, Donatello Conte, Giuliano Grossi, Giuseppe Boccignone, Raffaella Lanzarotti, Vittorio Cuculo   +5 more
core   +2 more sources

An Open Framework for Remote-PPG Methods and Their Assessment

IEEE Access, 2020
This paper presents a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG). There has been a remarkable development of rPPG techniques in recent years, and the publication of several surveys ...
Giuseppe Boccignone, Donatello Conte, Vittorio Cuculo, Alessandro D'Amelio, Giuliano Grossi, Raffaella Lanzarotti   +5 more
doaj   +1 more source

Biometric Authentication Based on Enhanced Remote Photoplethysmography Signal Morphology [PDF]

Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors.
Komulainen, Jukka, Li, Xiaobai, Sun, Zhaodong, Zhao, Guoying   +3 more
core   +1 more source

Influences on rPPG-Based Spatial Blood Perfusion Maps

Current Directions in Biomedical Engineering
Recent studies show the feasibility of using local remote photoplethysmography (rPPG) for non-contact blood perfusion assessment by creating spatial pulsatile blood perfusion maps. While global rPPG has been widely studied for its robustness, e.g.
Kobel Svenja Nicola, Wuerich Carolin, Ernst Anna Lotta, Fusshoeller Eva, Grueter Jan Niclas, Haendler Jakob, Wiede Christian, Seidl Karsten   +7 more
doaj   +1 more source

Heart Rate Estimation Algorithm Integrating Long and Short-Term Temporal Features

Mathematics
Non-contact heart rate monitoring from facial videos utilizing remote photoplethysmography (rPPG) has gained significant traction in remote health monitoring.
Jie Sun, Zhanwang Zhang, Jiaqi Liu, Lijian Zhou, Songtao Hu   +4 more
doaj   +1 more source

Video-Based Pulse Rate Variability Measurement Using Periodic Variance Maximization and Adaptive Two-Window Peak Detection

Sensors, 2020
Many previous studies have shown that the remote photoplethysmography (rPPG) can measure the Heart Rate (HR) signal with very high accuracy. The remote measurement of the Pulse Rate Variability (PRV) signal is also possible, but this is much more ...
Peixi Li, Yannick Benezeth, Richard Macwan, Keisuke Nakamura, Randy Gomez, Chao Li, Fan Yang   +6 more
doaj   +1 more source