Results 1 to 10 of about 6,459 (176)

pyVHR: a Python framework for remote photoplethysmography. [PDF]

open access: yesPeerJ Comput Sci, 2022
Remote photoplethysmography (rPPG) aspires to automatically estimate heart rate (HR) variability from videos in realistic environments. A number of effective methods relying on data-driven, model-based and statistical approaches have emerged in the past ...
Boccignone G   +6 more
europepmc   +5 more sources

Evaluation of biases in remote photoplethysmography methods. [PDF]

open access: yesNPJ Digit Med, 2021
This work investigates the estimation biases of remote photoplethysmography (rPPG) methods for pulse rate measurement across diverse demographics.
Dasari A   +3 more
europepmc   +5 more sources

Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals. [PDF]

open access: yesSensors (Basel), 2021
Pulse rate variability (PRV) refers to the change in the interval between pulses in the blood volume pulse (BVP) signal acquired using photoplethysmography (PPG). PRV is an indicator of the health status of an individual’s autonomic nervous system.
Yu SG, Kim SE, Kim NH, Suh KH, Lee EC.
europepmc   +5 more sources

Demographic bias in public remote photoplethysmography datasets. [PDF]

open access: yesNPJ Digit Med
Remote photoplethysmography (rPPG) is gaining traction for non-contact heart rate estimation, yet most publicly available datasets are demographically biased.
Bondarenko M, Menon C, Elgendi M.
europepmc   +5 more sources

Evaluation of Remote Photoplethysmography Measurement Conditions toward Telemedicine Applications. [PDF]

open access: yesSensors (Basel), 2021
Camera-based remote photoplethysmography (rPPG) is a low-cost and casual non-contact heart rate measurement method suitable for telemedicine. Several factors affect the accuracy of measuring the heart rate and heart rate variability (HRV) using rPPG ...
Tohma A   +4 more
europepmc   +5 more sources

Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal. [PDF]

open access: yesSensors (Basel), 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.
Kim SH, Jeon SM, Lee EC.
europepmc   +2 more sources

Dedicated Exposure Control for Remote Photoplethysmography [PDF]

open access: yesIEEE 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   +3 more
doaj   +3 more sources

Remote photoplethysmography (rPPG) in the wild: Remote heart rate imaging via online webcams. [PDF]

open access: yesBehav Res Methods, 2022
Remote photoplethysmography (rPPG) is a low-cost technique to measure physiological parameters such as heart rate by analyzing videos of a person. There has been growing attention to this technique due to the increased possibilities and demand for running psychological experiments on online platforms.
Di Lernia D   +4 more
europepmc   +7 more sources

Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation. [PDF]

open access: yesSensors (Basel), 2022
Heart and respiration rates represent important vital signs for the assessment of a person’s health condition. To estimate these vital signs accurately, we propose a multitask Siamese network model (MTS) that combines the advantages of the Siamese ...
Lee H   +6 more
europepmc   +2 more sources

A Study of Projection-Based Attentive Spatial-Temporal Map for Remote Photoplethysmography Measurement. [PDF]

open access: yesBioengineering (Basel), 2022
The photoplethysmography (PPG) signal contains various information that is related to CVD (cardiovascular disease). The remote PPG (rPPG) is a method that can measure a PPG signal using a face image taken with a camera, without a PPG device.
Kim DY, Cho SY, Lee K, Sohn CB.
europepmc   +2 more sources

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