pyVHR: a Python framework for remote photoplethysmography [PDF]
PeerJ Computer Science, 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 ...
Giuseppe Boccignone +6 more
doaj +5 more sources
Evaluation of biases in remote photoplethysmography methods [PDF]
npj Digital Medicine, 2021 This work investigates the estimation biases of remote photoplethysmography (rPPG) methods for pulse rate measurement across diverse demographics.
Ananyananda Dasari +3 more
doaj +5 more sources
Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals [PDF]
Sensors, 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.
Su-Gyeong Yu +4 more
doaj +5 more sources
Evaluation of Remote Photoplethysmography Measurement Conditions toward Telemedicine Applications [PDF]
Sensors, 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 ...
Akito Tohma +4 more
doaj +5 more sources
Demographic bias in public remote photoplethysmography datasets [PDF]
npj Digital MedicineRemote photoplethysmography (rPPG) is gaining traction for non-contact heart rate estimation, yet most publicly available datasets are demographically biased.
Maksym Bondarenko +2 more
doaj +5 more sources
Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal [PDF]
Sensors, 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 +2 more sources
Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation [PDF]
Sensors, 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 ...
Heejin Lee +6 more
doaj +2 more sources
A Study of Projection-Based Attentive Spatial–Temporal Map for Remote Photoplethysmography Measurement [PDF]
Bioengineering, 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.
Dae-Yeol Kim +3 more
doaj +2 more sources
Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG [PDF]
Frontiers in Physiology, 2023 Remote photoplethysmography (rPPG) provides a non-contact method for measuring blood volume changes. In this study, we compared rPPG signals obtained from video cameras with traditional contact-based photoplethysmography (cPPG) to assess the ...
Rodrigo Castellano Ontiveros +5 more
doaj +2 more sources
Remote Photoplethysmography for Evaluation of Cutaneous Sensory Nerve Fiber Function [PDF]
Sensors, 2021 About 2% of the world’s population suffers from small nerve fiber dysfunction, neuropathy, which can result in severe pain. This condition is caused by damage to the small nerve fibers and its assessment is challenging, due to the lack of simple and ...
Zbignevs Marcinkevics +3 more
doaj +2 more sources