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Measurement of heart rate and respiratory rate using remote photoplethysmography in paediatrics: a prospective comparative trial protocol – ‘rMonitoped1’ [PDF]

open access: yesBMJ Open
Introduction Vital signs such as heart rate (HR) and respiratory rate (RR), crucial for clinical assessment, are often challenging to measure in paediatric populations.
Antoine Tran   +12 more
doaj   +2 more sources

HBP-net for robust remote heart rate estimation using heartbeat probability [PDF]

open access: yesiScience
Summary: Remote photoplethysmography (rPPG) enables contactless heart rate monitoring but remains vulnerable to motion and lighting changes. We address this by reframing heart rate estimation as a heartbeat detection problem, bypassing the need to ...
Xiaolang Ye   +6 more
doaj   +2 more sources

A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning [PDF]

open access: yesBioMedical Engineering OnLine
With the widespread availability of consumer-grade cameras, interest in heart rate (HR) measurement using remote photoplethysmography (rPPG) has grown significantly.
Uday Debnath, Sungho Kim
doaj   +2 more sources

Monitoring of Tissue Perfusion During Arterial Occlusion With Remote Photoplethysmographic Imaging. [PDF]

open access: yesJ Biophotonics
This study evaluated remote photoplethysmography for tracking perfusion during arterial occlusion while assessing cuff pressure and placement. Similar local responses were observed across pressures and locations, supporting rPPG as a perfusion‐monitoring tool and establishing 150 mmHg lower‐arm occlusion as a standardized protocol.
DeVos L, Saiko G, Dvekar V, Douplik A.
europepmc   +2 more sources

Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection [PDF]

open access: yesScientific Reports
In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvantageous. Like oxygen, glucose is a building block of life and constitutes the significant share of energy produced by the fetus and the neonate during ...
Muhammad Shafiq   +6 more
doaj   +2 more sources

Benchmarking of Contactless Heart Rate Measurement Systems in ARM-Based Embedded Platforms

open access: yesSensors, 2023
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 wearable sensors, which are widely available commercially. However,
Andrea Manni   +4 more
doaj   +1 more source

Contactless heart rate measurement in newborn infants using a multimodal 3D camera system

open access: yesFrontiers in Pediatrics, 2022
Newborns and preterm infants require accurate and continuous monitoring of their vital parameters. Contact-based methods of monitoring have several disadvantages, thus, contactless systems have increasingly attracted the neonatal communities' attention ...
Libor Svoboda   +6 more
doaj   +1 more source

Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal

open access: yesSensors, 2022
Spoofing attacks in face recognition systems are easy because faces are always exposed. Various remote photoplethysmography-based methods to detect face spoofing have been developed. However, they are vulnerable to replay attacks.
Seung-Hyun Kim   +2 more
doaj   +1 more source

Intelligent Remote Photoplethysmography-Based Methods for Heart Rate Estimation from Face Videos: A Survey

open access: yesInformatics, 2022
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, unobtrusive technology that allows continuous monitoring of changes in vital ...
Smera Premkumar, Duraisamy Jude Hemanth
doaj   +1 more source

GRGB rPPG: An Efficient Low-Complexity Remote Photoplethysmography-Based Algorithm for Heart Rate Estimation

open access: yesBioengineering, 2023
Remote photoplethysmography (rPPG) is a promising contactless technology that uses videos of faces to extract health parameters, such as heart rate. Several methods for transforming red, green, and blue (RGB) video signals into rPPG signals have been ...
Fridolin Haugg   +2 more
doaj   +1 more source

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